The study aimed to investigate the language learning strategies and their contribution to the language competence of English major students in the teacher education program at Kapalong College of Agriculture Sciences and Technology. The researcher utilized a mixed-method design using the convergent parallel approach. Participants were English major students across all year levels at the college institution, with 204 students randomly selected for the quantitative phase and approximately 10 students purposively selected for the qualitative phase: 5 for (...) in-depth interviews and 5 for focused group discussions. The results indicated that both the level of language learning strategies and language competence were high; the findings were rejected, which reveals that there is significant relationship between them. Further, the findings from both the quantitative and qualitative phases largely converged however, there was one divergent indicator. The study confirmed that language learning strategies significantly impact the enhancement of language competencies among English major students, facilitating effective and efficient language use in realistic contexts. It is recommended that language learners must also prioritize memory strategies despite from the indicators’ lowest mean based from the results, such as mnemonic devices and spaced repetition techniques, to enhance vocabulary and grammar retention. Additionally, to improve speaking competency, students should engage in practical applications of the language within their specific contexts, allowing them to practice and develop fluency, essential for effective communication in professional, social, and academic environments. (shrink)

English is essential as an effective communication tool in both local and international contexts. In addition to being used in schools, it is also a teaching tool in colleges and universities. ESL (English as a Second Language) classes are now required in all educational institutions and can't be skipped. When learning a second language, anyone must be physically, mentally, and emotionally involved to communicate and understand what is being said. This systematic review employed qualitative documentary research and (...) adopted content analysis. Following a random selection of reliable and legitimate sources, purposive sampling was used to conduct a content analysis of the selected papers. For this systematic review, sources from EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect were used. The findings reveal that English-language obstacles in this article include English learners' writing, speaking, listening, reading, translation, and interpretation skills. The conclusion focuses on English learning obstacles and their improvement through teaching methods and educational technology adoption. The recommendation is to look into quantitative and qualitative research for further study. (shrink)

Quine has been charged with eliminating the normative dimension from his naturalized epistemology. The aim of the paper is to look at the role of empathy in Quine's language learning situation, which in its simplest form is constituted by the parent-child relation. We will explore the normativity of the role of empathy thereof by exploiting the sociality of the language learning situation. Since the sociality of Quine's notion of empathy is implicit, to explore the normativity expression (...) thereof, we will examine the explicit sociality of Wittgenstein's language learning situation-also constituted in its simplest form by the master-novice relation-and the normative character of it. By explicating the normativity of the calibrating role of the master and of rule following generally, we will parse the social dimensions of the empathizing role of the linguist in Quine's language learning situation. Finally, by examining the nature of normativity in empathizing, we will establish that the normativity of empathizing involved in Quine's language learning situation is socially grounded without denying its individual dimension. We will conclude that the normativity objection against Quine's naturalism thus stands refuted. (shrink)

Abstract: The aim of this study was to investigate the factors that causes anxiety in learning of English as second language. Secondary school students, English language teachers and school factors were focused that ground the anxiety in learning of English language as second language among the learners. Under the umbrella of qualitative research, a case study design selected and one to one semi structured interview. Convenience sampling was used in selection of students and purposive (...) sampling for English language teachers. Findings were that ELL is important because it is international language and medium of instruction at higher education institutes. Moreover, teacher employ GMT and lecture based teaching which hinder the ELL. Likewise, our environment also do not support ELL because neither parents nor friends take it seriously. Findings of the study suggest that in addition to GMT English language teacher must use interactive ELL. Parents and friends are also support and create supportive environment for children that enable them to ELL. (shrink)

Reading tough books to achieve excellent marks, perform well in class, and gain attention from teachers and parents is less likely to drive students. Students used to evaluate their language learning requirements, define the abilities they wished to develop, pick effective study techniques, and set aside gadgets when studying. They also used to read the question before looking for hints in the relevant content, extract the essential lines that convey the major ideas, concentrate on titles, names, numbers, quotations, (...) or instances, and comprehend the overall context to infer an option. The survey discovered that most of the time, students utilized it to determine the progress of their learning and create learning objectives. It was also found that there was a link between the exogenous variables and the academic performance of students. (shrink)

This paper explores the integration of multiple intelligences and artificial intelligence (AI) in language learning, focusing on its potential to enhance personalization and engagement. Drawing from existing research and studies conducted in various contexts, including the Philippines, this study aims to contribute to the understanding of the benefits, challenges, and effectiveness of this integration. The paper begins with an introduction that highlights the background and significance of integrating multiple intelligences and AI in language learning, identifying research (...) gaps, objectives, research questions, and the theoretical framework. A literature review provides an overview of multiple intelligences theory by Howard Gardner, the role of AI in language learning, and identifies gaps in the existing literature. The methodology section outlines the research design and approach, participant selection, data collection methods, validity and reliability measures, and ethical considerations. Findings and results are presented through the analysis of qualitative data, exploring emergent themes and patterns. The discussion section critically examines the identified research gaps, discusses the validity and reliability of the study, addresses the scope and limitations, and explores the implications of the findings for theory, practice, and future research. The conclusion summarizes the key findings and contributions of the study, reflects on the achievement of research objectives, offers recommendations for further research, and provides final remarks tying together the main points of the study. This paper contributes to the existing body of knowledge by providing insights into the integration of multiple intelligences and AI in language learning and its impact on personalization, engagement, and language learning outcomes. (shrink)

In her ‘Spracherwerb’(2012) Ruth Millikan gives a compelling account of language acquisition based on our ability to track objects. I argue that, and how, it is undermined by her insistence on equating understanding language utterances and sense perception, point to idealist hazards, and plead against propositionality and for imagism in order to safeguard the account’s important potential for giving a comprehensive explication of meaning.

The advent of digital games in language classrooms has ushered in a new era of interactive and dynamic learning experiences. Among these platforms, Kahoot stands out as an engaging and entertaining gaming platform, capturing the attention of both instructors and students. Despite the previous studies on the impact of Kahoot on language learning motivation, they have predominantly focused on assessing the effects of Kahoot before and after instruction overlooking direct comparisons with traditional instructional methods. Consequently, the (...) present study utilized a quasi-experimental research design, and participants were divided into two groups: an experimental group that received instruction using Kahoot, and a control group that followed traditional instructional methods. This research design allowed for a direct comparison of the impact of Kahoot on students’ motivation to learn the language. The results revealed a significant positive impact of Kahoot on students’ motivation to learn English. The students perceived Kahoot as engaging and enjoyable, resulting in heightened enthusiasm and interest inlanguage learning. These findings highlight the transformative potential of Kahoot as a catalyst for enhancing language learning motivation. Integrating Kahoot and other innovative online platforms into EFL instruction can create dynamic, interactive learning environments that foster student engagement and motivation. (shrink)

Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper (...) we try to fill this gap. By trying to translate sign language using artificial intelligence algorithms, we focused in this paper using transfer learning technique based on deep learning by utilizing a MobileNet algorithm and compared it with the previous paper results[10a], where we get in the Mobilenet algorithm on the degree of Accuracy 93,48% but the VGG16 the accuracy was 100% For the same number of images (43500 in the dataset in size 64*64 pixel ) and the same data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch . (shrink)

The article examines the basics of learning a foreign language. The fundamental foundations of this process are chosen. These judgments are made at the intersection of philosophical and pedagogical platforms. Therefore, research is of importance in both aspects, both philosophical and pedagogical. A new concept called ”Intuitive language base" is put forward. With the help of this concept, judgments about the fundamental foundations are made. The main issue explained within the framework of the concept is about words. (...) Thus, it is shown that, unlike the grammatical rules, words have a different fundamental aspect. At the same time, fundamental ideas about translation and scientific language are taken from this concept. In addition, the number of possible words in the world is calculated, judgments about creativity are put forward, fundamental issues such as the concept of the minilex and the music of the language are touched upon, and the attitude is expressed within the proposed concept. (shrink)

Digital Literacy (DL) is defined as the ability to use information and communication technology to communicate with cognitive and technical skills. One of the Digital Literacy is Mobile-Assisted Language Learning (MALL) or mobile phones-based language learning. Merits of this study are worthy of helping learners easier understand the language learning materials presented by either guided face to face in the classroom or self-learning out of the school. The study used experimental and control classes (...) to compare the results that the significance of Mobile-Assisted Language Learning in learning language could be prescribed. Refer to the initial students’ ability, this study designed pre and post-test for the experiment. Furthermore, participants were 40 students of second-year students at the English Education Department. Same topics were taught for experiment and control class in alter methods. The results claimed that the using post-test of MALL had merits on improving experimental group more than control group performance. The results declared that using MALL would encourage students learning activities such as self-language learning, enriching vocabulary, promoting teacher’s pedagogic, student’s cognitive, writing skill, reading comprehension, speaking, grammar and listening skill. Lastly, this paper implied MALL as a reference for future curriculum and material development. (shrink)

Students with high motivation to learn English as a second language become efficient language learners and ultimately acquire second language proficiency. However, demotivation in learning English as a second language remains to be a serious challenge. Thus, research-based information is needed to shed light in unravelling the factors of demotivation among second language learners and to guide teachers in putting forward practical solutions to increase students’ motivation in second language learning. This study (...) was conducted to find out the specific factors that hinder students’ desire to learn English as a second language. The researcher used descriptive research design and involved 1,302 students of Palawan State University Cuyo Campus selected through random sampling. Demotivating factors were measured using a modified questionnaire with reliability index of 0.85. Students’ self-confidence, learning content and context, focus of teaching and school facilities are revealed as demotivation to second language learning. The findings of this study may guide English teachers in designing teaching-learning contexts that are interesting and can boost student’s confidence in using English as a second language. It is also beneficial to policymakers and curriculum developers so that necessary policies may be implemented to improve school facilities, teaching strategies, and learning content and context. (shrink)

American Sign Language, or ASL as its acronym is commonly known, is a fascinating language, and many people outside of the Deaf community have begun to recognize its value and purpose. It is a visual language consisting of coordinated hand gestures, body movements, and facial expressions. Sign language is not a universal language; it varies by country and is heavily influenced by the native language and culture. The American Sign Language alphabet and the (...) British Sign Language alphabet are completely contrary. Fingerspelling is one-handed in ASL and two-handed in BSL, with the exception of the letter C. AI technologies, particularly deep learning, can play an important role in breaking down communication barriers between deaf or hearing-impaired people and other communities, significantly contributing to their social inclusion. Recent advances in sensing technologies and AI algorithms have paved the way for the development of a wide range of applications aimed at meeting the needs of the deaf and hearing-impaired communities. To that end, the purpose of this paper is By attempting to translate sign language using artificial intelligence algorithms, we focused in this paper on a transfer learning technique based on deep learning using a ResNet algorithm and compared it to previous papers in which we used VGG19[1]and mobileNet [2], where we get in the ResNet algorithm on the degree of Accuracy 93,48% e number of images (43500 in the dataset in size 64*64 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

Aesthetic non-cognitivists deny that aesthetic statements express genuinely aesthetic beliefs and instead hold that they work primarily to express something non-cognitive, such as attitudes of approval or disapproval, or desire. Non-cognitivists deny that aesthetic statements express aesthetic beliefs because they deny that there are aesthetic features in the world for aesthetic beliefs to represent. Their assumption, shared by scientists and theorists of mind alike, was that language-users possess cognitive mechanisms with which to objectively grasp abstract rules fixed independently of (...) human responses, and that cognizers are thereby capable of grasping rules for the correct application of aesthetic concepts without relying on evaluation or enculturation. However, in this article I use Wittgenstein’s rule-following considerations to argue that psychological theories grounded upon this so-called objective model of rule-following fail to adequately account for concept acquisition and mastery. I argue that this is because linguistic enculturation, and the perceptual learning that’s often involved, influences and enables the mastery of aesthetic concepts. I argue that part of what’s involved in speaking aesthetically is to belong to a cultural practice of making sense of things aesthetically, and that it’s within a socio-linguistic community, and that community’s practices, that such aesthetic sense can be made intelligible. (shrink)

This paper is both systematic and historical in nature. From a historical viewpoint, I aim to show that to establish Wittgenstein’s claim that “an ‘inner process’ stands in need of outward criteria” (PI §580) there is an enthymeme in Wittgenstein’s private language argument (henceforth PLA) overlooked in the literature, namely Wittgenstein’s suggestion that both perceptual and bodily experiences are transparent in the relevant sense that one cannot point to a mental state and wonder “What is that?” From a systematic (...) viewpoint, I aim to show that Wittgenstein’s PLA teaches us that the prevailing picture of the nature of phenomenal concepts (henceforth PCs) is upside down: we can only introspectively know what is going on inside our heads after we learn of what is going on outside (PI §580). In this regard, I aim to defend two associate claims against the prevailing view of PCs on the basis of PLA. First, by means of transparency, I aim to show that there is no de re awareness of our private sensation that could determine the meaning of sensation words; for example, I am never aware of the phenomenal blueness of my experience of something blue. The second associated claim is that introspective self-knowledge of our private sensations is always de dicto. We can only know introspectively that phenomenal blueness is the phenomenal character of the experience we are undergoing after we have learned that (de dicto knowledge) blue is the color that usually causes us that kind of experience. Likewise, we can only introspectively know that pain is the phenomenal character of the experience we are undergoing after we have learned that pain is what usually causes some typical pain behavior. (shrink)

Education is essential to ensure the overall development of individuals. However, there exists a symbiotic relationship between language and education: the language of education determines one’s socio-economic position. Notably, knowledge production and dissemination in South Africa is dominated by English and vernacular languages are neglected. This discriminatory binary exists from primary schools to universities. It creates challenges for black, underprivileged, rural and semi-urban students, as they lack proficiency in English (known as the language of elites). Along with (...) cultural and racial discrimination, students from South Africa are victims of linguicism. Similarly, the modern Indian state has made education mandatory as a policy measure but students from marginalised sections face a language barrier. Consequently, students feel physiological trauma including inferiority complexes, humiliation. (shrink)

there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of (...) this paper is By attempting to translate sign language using deep learning models, we focused in this paper a comparing between Inception and Xception ¬¬¬¬¬ algorithm and compared it to previous papers in which we used VGG19[1], mobileNet [2], where we get in the Inception and Xception algorithm on the degree of Accuracy 99.32%, 99,43% respectively. number of images (29000 in the dataset in size 75*75 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

The present study assessed the language teachers' pedagogical beliefs and orientations in integrating technology in the online classroom and its effect on students' motivation and engagement. It utilized a cross-sectional correlational research survey. The study respondents were the randomly sampled 205 language teachers (μ= 437, n= 205) and 317 language students (μ= 1800, n= 317) of select higher educational institutions in the Philippines. The study results revealed that respondents hold positive pedagogical beliefs and orientations using technology-based teaching (...) in their language classroom. Test of difference showed that female teachers manifested a firmer belief in student-centered online language teaching than their male counterparts. However, the utilization and attitude towards technology in the language classroom is favorably associated with the male teachers. As to students' level of language learning motivation and engagement, it was found out that male and female students have high level of language learning engagement. Further, the test of relationship showed that the higher the teachers' belief in utilizing student-centered teaching to integrate technology in the language classroom, the higher the students are motivated and engaged in learning. In like manner, it was also revealed that teacher-centered belief is negatively correlated to student’s motivation and engagement in online language learning. In this regard, the pedagogical assumptions that hold EFL teachers positively to integrate technology in the language classroom. This study generally offers implications for enhancing language teacher's digital literacy to promote motivating, fruitful, and engaging language lessons for 21ts century learning. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least (...) performance of 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features . (shrink)

The study has been presented the role of home environment to learn English language particularly in Bangladesh. Parental as well as siblings role is very essential to grow the sense of learning and the learners can grow a great influence by it. Parents’ as well as siblings’ positive attitude, education and awareness according to individual requirements and needs are provided constant encouragement and support for the learners. Parents make the greatest difference to achievement through supporting their learning (...) at home rather than supporting activities in school. A learner, whose family members are habituated to use English at home, feels encouraged to learn English which facilitates learning process. My findings, on the other hand, show that children of those parents who are ignorant of providing sound family atmosphere, lack confidence as well as self-esteem. This study also inspects the impact of home environment on children’s achievement in English language. The findings reveal that there is a constant relationship between the role of family and students’ academic achievement. (shrink)

Due to the emergence of ICT in ELT sector, seasoned English teachers find it resistant to such a shift despite having a positive attitude towards its use. This quasi-experimental study aimed to examine the extent to which seasoned English language teachers developed their ICT skills through a Service-Learning Activity (SLA). Using a one-group pre- and post-test design, this study collected the data through a modified Needs Assessment Survey (NAS) distributed to fourteen purposively selected participants. It was administered to (...) examine what professional ICT development would greatly benefit them. The data were analyzed using descriptive statistics and themes according to the Service-Learning Activity (SLA) topics. A Post Evaluation Survey (PES) was administered, and its result was compared to the initial test. The results showed that the seasoned teachers gained significant learning gains in terms of (1) sharing of knowledge from other teachers; (2) being encouraged to use ICT tools; (3) training opportunities; (4) working with other colleagues; and 5) attending professional workshops which include SLA. However, this study unveiled that the English teachers had no significant difference in perceptions regarding the roles of computers in teaching before and after the intervention. Limitations and recommendations for future studies were discussed. (shrink)

This paper aims to exemplify the language acquisition model by tracing back to the Socratic model of language learning procedure that sets down inborn knowledge, a kind of implicit knowledge that becomes explicit in our language. Jotting down the claims in Meno, Plato triggers a representationalist outline basing on the deductive reasoning, where the conclusion follows from the premises (inborn knowledge) rather than experience. This revolution comes from the pen of Noam Chomsky, who amends the empiricist (...) position on the creativity of language by pinning down it with the innateness hypothesis. However, Chomsky never rejects the external world or the linguistic stipulation that relies on the objective reality. Wittgenstein’s model of language acquisition upholds a liaison centric appeal that stands between experience (use theory of meaning) and mentalism (mind based inner experiences). Wittgenstein’s Tractatus never demarcates the definite mental processes that entangle with the method of understanding and meaning. Wittgenstein’s ‘language game’ takes care of the model of language acquisition in a paradigmatic way. The way portrait language as the form of life and the process of language acquisition is nothing but a language game that relies on the activity of men. (shrink)

This study focused on determining the attitudes and academic performance of engineering students in Technological University of the Philippines-Manila. A total of 139 male engineering and 47 female engineering students were the respondents of the study. This only dwell on the attitude in learning English Language Vocabulary in terms of their behavioral aspects, cognitive aspects, and emotional aspects. This is a quantitative study utilized by descriptive and inferential method as the research design. Based on the findings, academic grades (...) strongly correlate with their attitude in learning English vocabulary which is a negative correlation coefficient in all its components with r value of -0.3695 in behavioral, -0.5261 in Cognitive, and -0.4332 in emotional aspect. Their P values is less than .00001 which is significant at p<0.05. Thus, the null hypothesis where there is no significant relationship between their ALEV and academic performance is rejected. The researcher recommends that teachers should enhance creativity in teaching vocabulary which inculcate the positive attitudes and motivation towards learning process. Teachers and parents should encourage the learners to read and watch educational related materials. (shrink)

How does philosophy learn to speak a new language? That is, how does some particular language come to serve as the means for the expression of philosophical ideas? In this paper, I present an answer grounded in four historical case studies and suggest that this answer has broad implications for contemporary philosophy. I begin with Jonathan Rée’s account of philosophical translation into English in the sixteenth century, and the debate between philosopher-translators who wanted to acquire – wholesale or (...) with modifications – foreign terms, and those who wished to take existing words and transform them from their ordinary to a philosophical use. I sketch how these twin processes of ‘acquisition’ and ‘transformation’ manifested themselves in philosophical translations from Greek to Latin, Greek to Arabic and both Greek and Arabic to Gə’əz and argue that comparative work in this vein could yield interesting and significant results. I suggest that not only is Rée’s approach useful for thinking about philosophical translation historically, but that philosophical translation between very different languages is important for contemporary philosophy insofar as it reveals the linguistic presuppositions of philosophical theories expressed in some particular language, and that this constitutes an argument against the prevailing monolingualism in philosophy. (shrink)

In order for students to succeed, especially in times of crisis like the Covid 19 Pandemic, they must be trained to be self-sufficient in their language studies. This research investigates using a self-access language learning strategy in an emergency virtual reading class during the covid 19 pandemics to improve language learners' Autonomy. It employed a descriptive correlational research design. The study involved 89 randomly selected language students in one University of Peru. Results of the study (...) showed that the students can utilize internet as their learning resource using devices they have. This shows that all of the students have devices to be used for their online and blended language learning. It is interesting to note the all the sampled students have access to internet for their online language learning. Hence the students have a motivated level of learning Autonomy in reading classes. As to the assessment of internet self-access reading skills of the students. This shows that the students have a favorable attitude towards using the internet in their reading lessons. It shows that the students have a fair level of technology acceptance and utilization for their language learning. Self-Access Skills in Reading was shown to be closely linked to Students' Learning Autonomy. This suggests that the relevant factors in the research have a positive correlation. This means that the students are more likely to adopt online self-access reading skills if they have a good attitude about learning Autonomy. This result shed light on the gap in addressing students' online language learning engagement in the COVID 19 era, particularly in the context of Peru. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least (...) performance of 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. -/- We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features. (shrink)

The Complex Emergent Model of Language Acquisition (CEMLA) offers a new perspective on how humans acquire language, drawing on principles from complexity theory to explain this dynamic, adaptive process. Moving beyond linear and reductionist models, CEMLA views language acquisition as a system of interconnected nodes, feedback loops, and emergent patterns, operating at the edge of chaos. This framework captures the fluidity and adaptivity of language learning, highlighting how understanding and fluency arise through self-organisation, phase transitions, (...) and interaction with diverse linguistic input. By embracing the complexity of language acquisition, CEMLA provides a comprehensive model that reflects the true nature of human communication. (shrink)

This paper reflects the students' attitude toward learning English in secondary schools. The current study was conducted following 57 students at Dire Dawa secondary Schools. The findings suggest that students were generally uncomfortable with the language and subject areas offered in secondary school and agreed that learning English is important for them. Respondents to the current study, who had recently received their primary education, reported that the secondary school syllabus helped them to acquire the language needed (...) for work and personal development. The findings of this study also showed a positive attitude towards English learning at Dire Dawa secondary Schools. (shrink)

What can contemporary machine learning (ML) models do? Given the proliferation of ML models in society, answering this question matters to a variety of stakeholders, both public and private. The evaluation of models' capabilities is rapidly emerging as a key subfield of modern ML, buoyed by regulatory attention and government grants. Despite this, the notion of an ML model possessing a capability has not been interrogated: what are we saying when we say that a model is able to do (...) something? And what sorts of evidence bear upon this question? -/- In this paper, we aim to answer these questions, using the capabilities of large language models (LLMs) as a running example. Drawing on the large philosophical literature on abilities, we develop an account of ML models' capabilities which can be usefully applied to the nascent science of model evaluation. Our core proposal is a conditional analysis of model abilities (CAMA): crudely, a machine learning model has a capability to X just when it would reliably succeed at doing X if it 'tried'. The main contribution of the paper is making this proposal precise in the context of ML, resulting in an operationalisation of CAMA applicable to LLMs. We then put CAMA to work, showing that it can help make sense of various features of ML model evaluation practice, as well as suggest procedures for performing fair inter-model comparisons. (shrink)

The English language is immensely rich in terms of vocabulary. When learning vocabulary, successful students employ specific strategies. Several studies have been conducted to explore the vocabulary learning strategies (VLS) English language learners employ. However, there is a lack of empirical research on the topic in Afghanistan. Therefore, the aims of this study were to 1) explore the VLS undergraduate English learners employ; 2) examine the correlation between VLS and gender; 3) examine the correlation between VLS (...) and students’ year of studies; and 4) examine the correlation between VLS and students’ English proficiency level. The study used a descriptive-quantitative research design. The study discovered that metacognitive and memory strategies were the most frequently used, while social strategies were the least frequently used. Moreover, the correlation results revealed that metacognitive strategies were more prevalent among males, while memory strategies were more popular among females. (shrink)

A Book Review on Rethinking language education and linguistic diversity in schools: Thematic report from a programme of expert workshops and peer learning activities (2016-17) European Commission, Directorate-General for Education, Youth, Sport and Culture, Day, L., Meierkord, A., (Publications Office), 2018, 14 pages, ISBN 978-92-79- 79241-0. Review by Thobias Sarbunan.

This paper examines Augustine’s views on language, learning, and testimony in De Magistro. It is often held that, in De Magistro, Augustine is especially concerned with explanatory understanding (a complex cognitive state characterized by its synoptic nature and awareness of explanatory relations) and that he thinks testimony is deficient in imparting explanatory understanding. I argue against this view and give a clear analysis of the different kinds of cognitive state Augustine is concerned with and a careful examination of (...) his arguments concerning the deficiencies of testimony in producing these cognitive states. (shrink)

ABSTRACT For learning any language, motivation plays a vital role. This study aims to investigate collegiate students’ predictive motivational factors toward students’ attitude toward learning English as secondary language. This is a cross-sectional study in which questionnaire was adapted from the existing literature for data collection. For this quantitative study data were collected from two government degree colleges of Larkana. Total 400 questionnaires were randomly distributed among intermediate students both boys and girls, out of that 247 (...) were returned. Data were analyzed using statistical packages for social sciences (SPSS) version 24. Initially, data were cleaned by identifying missing values and outliers. Study hypotheses were examined using Multiple Regression Analysis (MRA). The findings of this study revealed that instrumental motivation and parental encouragement (independent variables) have positive and significant relationship with attitude toward learning English. However, one variable i.e. integrative motivation was not found as a significant and positive predictor of the dependent variable. Like any study, this study also possesses few limitations, such as sample size, time horizon, and context of the study. In the end, future directions are given for further exploration. (shrink)

Bayesianism can be characterized as the following twofold position: (i) rational credences obey the probability calculus; (ii) rational learning, i.e., the updating of credences, is regulated by some form of conditionalization. While the formal aspect of various forms of conditionalization has been explored in detail, the philosophical application to learning from experience is still deeply problematic. Some philosophers have proposed to revise the epistemology of perception; others have provided new formal accounts of conditionalization that are more in line (...) with how we learn from perceptual experience. The current investigation argues that Bayesian epistemology is still incomplete; the epistemology of perception and the epistemology of rational reasoning have not been reconciled. (shrink)

Ethnographic study of Hippo Family Club, a foreign language learning club in Japan with chapters elsewhere, reveals a critique of foreign language teaching in Japanese schools and in the commercial English conversation industry. Club members contrast their own learning methods, which they view as “natural language acquisition”, with the formal study of grammar, which they see as uninteresting and ineffective. Rather than evaluating either the Hippo approach to learning or the teaching methods they criticize, (...) however, this paper considers the ways of thinking about language that club members come to share. Members view the club as a transnational organization that transcends the boundaries of the nation-state. Language learning connects the club members to a cosmopolitan world beyond the club, even before they interact with speakers of the languages they are learning. The analysis of club members’ ideologies of language and language learning illuminates not only the pragmatics of language use, but practices and outcomes of socialization and shared social structures. (shrink)

We work with a large spatialized array of individuals in an environment of drifting food sources and predators. The behavior of each individual is generated by its simple neural net; individuals are capable of making one of two sounds and are capable of responding to sounds from their immediate neighbors by opening their mouths or hiding. An individual whose mouth is open in the presence of food is “fed” and gains points; an individual who fails to hide when a predator (...) is present is “hurt” by losing points. Opening mouths, hiding, and making sounds each exact an energy cost. There is no direct evolutionary gain for acts of cooperation or “successful communication” per se. In such an environment we start with a spatialized array of neural nets with randomized weights. Using standard learning algorithms, our individuals “train up” on the behavior of successful neighbors at regular intervals. Given that simple setup, will a community of neural nets evolve a simple language for signaling the presence of food and predators? With important qualifications, the answer is “yes.” In a simple spatial environment, pursuing individualistic gains and using partial training on successful neighbors, randomized neural nets can learn to communicate. (shrink)

The ever-evolving ways attacker continues to improve their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed an adaptable (...) framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection. (shrink)

In this paper, we investigated multiple machine learning classifiers which are, Multinomial Naive Bayes, Support Vector Machine, Decision Tree, K Nearest Neighbors, and Random Forest in a text classification problem. The data we used contains real and fake job posts. We cleaned and pre-processed our data, then we applied TF-IDF for feature extraction. After we implemented the classifiers, we trained and evaluated them. Evaluation metrics used are precision, recall, f-measure, and accuracy. For each classifier, results were summarized and compared (...) with others. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify and (...) classify cyberbullying behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. To optimize the performance of the detection model, techniques such as Grid Search, Genetic Algorithms, and Particle Swarm Optimization are used to fine-tune hyperparameters, resulting in improved accuracy and reduced false positives. The system's effectiveness is validated through experiments conducted on various social media platforms, demonstrating its potential to detect cyberbullying with high precision. Future work will focus on enhancing the model's adaptability to emerging slang and evolving language patterns in social media. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify and (...) classify cyberbullying behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. T. (shrink)

This work investigates one of the most widespread yet elusive ideas about our experience of art: the idea that there is something cognitively valuable in engaging with great artworks, or, in other words, that we learn from them. This claim and the age-old controversy that surrounds it are reconsidered in light of the psychological and neuroscientific literature on learning, in one of the first systematic efforts to bridge the gap between philosophical and scientific inquiries on the topic. The work (...) has five chapters. Chapter 1 lays down its conceptual bases: it explains what learning is taken to be in the current philosophical debate and it points out how Bayesian cognitive science (particularly in its predictive processing formulations) might be well-suited to capture the kind of learning involved in our engagement with the arts. The following chapters test this latter hypothesis with respect to particular art forms, namely literature and literary language (Chapter 2), narrative (Chapter 3), and visual art, music and motor activities (Chapter 4). The fine-grained discussions conducted in each of these areas will enable us to see that the relationship between art and learning is indeed fundamental and pervasive. The final chapter (Chapter 5) examines the consequences of this fact for our understanding of the role of art in our epistemic practices, its ultimate usefulness and value, and its place in the interdisciplinary study of the human mind. The upshot is a novel and wide-ranging picture, both philosophically informed and empirically sound, that bypasses many of the problems and dead ends of the current philosophical debate on the topic and captures the deep sense in which art and learning are interrelated. (shrink)

In many areas, technology has facilitated many things, diagnosing diseases, regulating traffic and teaching students in schools rely on Intelligent systems to name a few. At present, traditional classroom-based education is no longer the most appropriate in schools. From here, the idea of intelligent e-learning for students to increase their culture and keep them updated in life began. E-learning has become an ideal solution, relying on artificial intelligence, which has a footprint in this through the development of systems (...) based on education without a teacher taking into account the individual differences of students. This study describes intelligent tutoring system for teaching the Data Manipulation Language (DML) Commands Using SQLite to non IT students to overcome the difficulties they face. The System was built as education system by using the researcher own authoring tool that based on mobile and web App. The basic idea of this system is a systematic introduction into the concept of Database and its DML query. The system presents the topic of DML Commands, help student to execute what they are learn from the system content using the practical part of the system and administers automatically adapted at run time to the student’s individual growth. The system was assessed by a group of teachers and students and the outcome showed as 91% from the database specialists, 94% from Diploma students group and 89% from the secondary school students group. (shrink)

Of the four language skills, speaking is usually considered an indicator of proficiency in a language. As an EFL student, one should master speaking skill (Nazara, 2012). Unfortunately, most Afghan EFL undergraduates are not as good at speaking as they are in the other three English language skills (reading, writing and listening). Most Afghan undergraduate EFL learners are good at reading and writing, but in part of oral communication, they are not accurate and fluent (Zia & Sulan, (...) 2015). Hence, this study was conducted to investigate the factors that affect the Afghan undergraduate EFL learners’ speaking skill at Sayed Jamaluddin Afghani University Kunar, Afghanistan. The study specifically investigated the learning environment-related factors that affected student speaking skill. A mixed method was used for this study, i.e., quantitative (questionnaire) and qualitative (interview). The questionnaire data were descriptively analyzed in SPSS version 20 and presented in figures and tables. The interview data were thematically analyzed and presented. A total of 90 students (40 junior and 50 senior) were purposively selected and participated in this study. The findings revealed that large classes and the lack of basic facilities in the speaking classroom were some factors in the learning environment that affected the students speaking skill. The current study’s findings will hopefully help teachers and educators be attentive and creative in building a proper learning environment to reduce the factors that affect students’ speaking skill. (shrink)

This paper examines the function of language in the domain of education and it‘s vice versa. As we are aware of the fact that language and education are endemic elements of human development and evolution. According to Gandhi, education is the recognition of mind-body, soul and spirit. It is the attainment of the values through morality and ethics. Gandhi accepts communicative aspect of language where as Wittgenstein accepts analytical and conceptual aspect of language. Wittgenstein realized that (...) education is the constituent of what we know, believe and learn. Gandhi asserts on Mother tongue, primary- secondary languages and national languages whereas Wittgenstein emphasis on the natural languages, meta-languages and ideal languages. In this paper I shall demonstrate the problems of language which becomes hurdles in the process of education. For both Gandhi and Wittgenstein, there are problems not in language but in its ordinary usage, speaking, writing, meaning and communication. (shrink)

In the middle of geopolitical currents, this paper seeks to replicate the discourse on the emergence and sustainability of language acquisition. As a writer, I believe that this discussion should be continued since it draws lessons from the current global position in which Ukraine finds itself, with Russia's horrific invasion. On the other hand, the degradation of many types of languages with a linguistic background implies that global, regional, national, and local constellations are now eroding local, national, and tribal (...) languages. Because this scenario has the potential for negative treatment, such as the systematic extinction of one language for the benefit of imperialism or neocolonialism, this overview is recreated to serve as a learning resource for the whole global community. (shrink)

The potential for Large Language Models (LLMs) to attain technological singularity—the point at which artificial intelligence (AI) surpasses human intellect and autonomously improves itself—is a critical concern in AI research. This paper explores the feasibility of current LLMs achieving singularity by examining the philosophical and practical requirements for such a development. We begin with a historical overview of AI and intelligence amplification, tracing the evolution of LLMs from their origins to state-of-the-art models. We then proposes a theoretical framework to (...) assess whether existing LLM technologies could satisfy the conditions for singularity, with a focus on Recursive Self-Improvement (RSI) and autonomous code generation. We integrate key component technologies, such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO), into our analysis, illustrating how these could enable LLMs to independently enhance their reasoning and problem-solving capabilities. By mapping out a potential singularity model lifecycle and examining the dynamics of exponential growth models, we elucidate the conditions under which LLMs might self-replicate and rapidly escalate their intelligence. We conclude with a discussion of the ethical and safety implications of such developments, underscoring the need for responsible and controlled advancement in AI research to mitigate existential risks. Our work aims to contribute to the ongoing dialogue on the future of AI and the critical importance of proactive measures to ensure its beneficial development. (shrink)

Apart from what (little) OpenAI may be concealing from us, we all know (roughly) how ChatGPT works (its huge text database, its statistics, its vector representations, and their huge number of parameters, its next-word training, and so on). But none of us can say (hand on heart) that we are not surprised by what ChatGPT has proved to be able to do with these resources. This has even driven some of us to conclude that ChatGPT actually understands. It is not (...) true that it understands. But it is also not true that we understand how it can do what it can do. I will suggest some hunches about benign biases: convergent constraints that emerge at LLM scale that may be helping ChatGPT do so much better than we would have expected. These biases are inherent in the nature of language itself, at LLM scale, and they are closely linked to what it is that ChatGPT lacks, which is direct sensorimotor grounding to connect its words to their referents and its propositions to their meanings. These convergent biases are related to (1) the parasitism of indirect verbal grounding on direct sensorimotor grounding, (2) the circularity of verbal definition, (3) the mirroring of language production and comprehension, (4) iconicity in propositions at LLM scale, (5) computational counterparts of human categorical perception in category learning by neural nets, and perhaps also (6) a conjecture by Chomsky about the laws of thought. The exposition will be in the form of a dialogue with ChatGPT-4. (shrink)

Reading have always been a very important activity, which further paves the way for excellence in life both academically and non-academically. It is a fundamental skill that unlocks learning and provides individual’s benefits. Reading habit and attitude become an interest topic to discuss because it can be the key success in learning. This study aimed to examine the reading habits and attitudes of big city residents in Pakistan towards books with Chinese themes, available in Chinese, English, or Urdu (...) language. Using a survey design and simple random sampling, data was collected from 300 respondents through a pre-tested questionnaire based on Smith's (1991) Adult Survey of Reading Attitude. The study analyzed data from 11 online bookstores and publishers in Pakistan used to provide recent insights. We used two keywords (China, Chinese: چائ نا , چائ ن یز ) to collect data from online bookstores. The results of the study, with a reliability test score of 0.79, showed that the participants had a positive attitude towards reading Chinese themed books. The findings of this study can inform the development of educational programs to enhance reading skills and cultural understanding for users of Chinese-themed books in Pakistan. (shrink)

Abstract: There are inherently relations between English language learning education and learners’ psychology. Learners possess their individual ways of comprehending and employing the language. Speaking in front and at the presence of others make them embarrassed and petrified in language classrooms. This matter causes the learners to behave in a particular psychological way either consciously or unconsciously through repetitions of some words or phrases, reveal sentences nervously, lack of confidence and produce ungrammatical sentences while communicating with (...) others. As a result, language instructors need to apply remedial courses to unlock the challenging issues of the learners which influences on their relationship in the classroom. Treating students equally and proper counseling of every learner irrespective of their knowledge and a genuine assurance that they are equally important components of a language classroom are some of the techniques that can work wonders in mitigating these issues. This study tries to deal with the negative and positive psychological treatments EFL learners may reveal in various foreign language classrooms which pose as challenges to language educators and tries to manage these issues with some remedial courses and prospects. (shrink)