Results for 'recommender systems'

971 found
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  1. Recommender systems and their ethical challenges.Silvia Milano, Mariarosaria Taddeo & Luciano Floridi - 2020 - AI and Society (4):957-967.
    This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system.
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  2.  48
    Recommender Systems as Commercial Speech: A Framing for US Legislation.Andrew West, Claudio Novelli, Mariarosaria Taddeo & Luciano Floridi - manuscript
    Recommender Systems (RS) on digital platforms increasingly influence user behavior, raising ethical concerns, privacy risks, harmful content promotion, and diminished user autonomy. This article examines RS within the framework of regulations and lawsuits in the United States and advocates for legislation that can withstand constitutional scrutiny under First Amendment protections. We propose (re)framing RS-curated content as commercial speech, which is subject to lessened free speech protections. This approach provides a practical path for future legislation that would allow for (...)
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  3. Movie Recommendation System using Machine Learning Techniques.G. H. Ram Ganesh - 2025 - Journal of Science Technology and Research (JSTAR) 6 (1):1-20.
    The Movie Recommendation System using Machine Learning Techniques is a data-driven approach designed to provide personalized movie suggestions based on user preferences and historical data. This system leverages advanced machine learning algorithms, including collaborative filtering, content-based filtering, and hybrid methods, to predict the most relevant movies for individual users. The system's primary goal is to enhance user experience by recommending movies that align with their tastes, thereby promoting user engagement and satisfaction. The recommendation process starts by collecting user data, such (...)
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  4.  81
    Crop Recommender System Using Machine Learning Approach.A. Ravikumar - 2025 - Journal of Science Technology and Research (JSTAR) 6 (1):1-19.
    Agriculture plays a crucial role in the economic stability of many nations, and optimizing crop selection is essential for enhancing agricultural productivity and sustainability. The "Crop Recommender System Using Machine Learning Approach" aims to leverage machine learning techniques to provide precise crop recommendations based on various environmental and soil conditions. By incorporating factors such as soil composition, pH level, temperature, humidity, rainfall, and geographic location, this system suggests the most suitable crops for a given area. The system utilizes machine (...)
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  5.  67
    Drug Recommendation System in Medical Emergencies using Machine Learning.S. Venkatesh - 2025 - Journal of Science Technology and Research (JSTAR) 6 (1):1-21.
    In critical medical emergencies, timely and accurate drug recommendation is essential for saving lives and reducing complications. This project proposes a Drug Recommendation System utilizing Machine Learning (ML) techniques to assist healthcare professionals in making quick and accurate drug selections based on patient symptoms, medical history, and emergency condition. The system integrates data from diverse medical databases, including symptoms, diseases, patient demographics, and prior medical records, to recommend the most appropriate drugs or treatments in real-time. The ML model is trained (...)
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  6.  47
    Green Insights: A Crop Recommendation System.Sriya Gadagoju - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (4):1-12.
    In today's agricultural landscape, farmers face numerous challenges in selecting the right crops to plant, primarily due to varying soil conditions and unpredictable weather patterns. This often leads to suboptimal yields and inefficient use of resources. To tackle these issues, we propose a Crop Recommendation System powered by machine learning, specifically utilizing the Random Forest algorithm. This innovative system will analyze essential factors such as soil nutrients—nitrogen, phosphorus, and potassium—as well as climatic conditions like temperature, humidity, and rainfall, to provide (...)
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  7. Personalized Medicine Recommendation System Using Machine Learning.P. Lavanya - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (2):1-12.
    Personalized medicine recommendation systems are increasing in popularity to predict diseases and provide customized health advice on diet, workout plans and medication. The medical suggestion system can be valuable when pandemics, floods, or cyclones hit. In the age of Machine Learning (ML), recommender systems give more accurate, precise, and reliable clinical predictions while using less resources. Through the use of machine learning algorithms like Decision Tree, Random Forest, K-Means Clustering, and Hierarchical Clustering, these systems analyze patient (...)
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  8. Technologically scaffolded atypical cognition: the case of YouTube’s recommender system.Mark Alfano, Amir Ebrahimi Fard, J. Adam Carter, Peter Clutton & Colin Klein - 2020 - Synthese 199 (1):835-858.
    YouTube has been implicated in the transformation of users into extremists and conspiracy theorists. The alleged mechanism for this radicalizing process is YouTube’s recommender system, which is optimized to amplify and promote clips that users are likely to watch through to the end. YouTube optimizes for watch-through for economic reasons: people who watch a video through to the end are likely to then watch the next recommended video as well, which means that more advertisements can be served to them. (...)
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  9. Ethical aspects of multi-stakeholder recommendation systems.Silvia Milano, Mariarosaria Taddeo & Luciano Floridi - 2021 - The Information Society 37 (1):35–⁠45.
    This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorised, methodologically, according to neoclassical (...)
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  10. Trusting in others’ biases: Fostering guarded trust in collaborative filtering and recommender systems.Jo Ann Oravec - 2004 - Knowledge, Technology & Policy 17 (3):106-123.
    Collaborative filtering is being used within organizations and in community contexts for knowledge management and decision support as well as the facilitation of interactions among individuals. This article analyzes rhetorical and technical efforts to establish trust in the constructions of individual opinions, reputations, and tastes provided by these systems. These initiatives have some important parallels with early efforts to support quantitative opinion polling and construct the notion of “public opinion.” The article explores specific ways to increase trust in these (...)
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  11.  41
    Online Personalized Learning Remediation/Tutoring Tool: A Teacher Recommendation System.D. J. Abhiram - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (5):1-16.
    Online education will be paired by developing intelligent systems that can provide personalization to the learner. To that extent ,this paper is proposing the design for an Online Personalized Learning Remediation/Tutoring Tool to help learners find the most suitable teachers for certain topics. The tool relies on a dataset of teacher profiles, comprising the subjects taught, video links, ratings, and experience, so that using machine learning techniques, it could recommend top educators. Applying feature extraction using CountVectorizer and recommendation based (...)
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  12. (1 other version)Attention, Moral Skill, and Algorithmic Recommendation.Nick Schuster & Seth Lazar - 2024 - Philosophical Studies 182 (1).
    Recommender systems are artificial intelligence technologies, deployed by online platforms, that model our individual preferences and direct our attention to content we’re likely to engage with. As the digital world has become increasingly saturated with information, we’ve become ever more reliant on these tools to efficiently allocate our attention. And our reliance on algorithmic recommendation may, in turn, reshape us as moral agents. While recommender systems could in principle enhance our moral agency by enabling us to (...)
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  13. Concept systems and ontologies: Recommendations for basic terminology.Gunnar O. Klein & Barry Smith - 2010 - Transactions of the Japanese Society for Artificial Intelligence 25 (3):433-441.
    This is the third draft of a paper that aims to clarify the apparent contradictions in the views presented in certain standards and other specifications of health informatics systems, contradictions which come to light when the latter are evaluated from the perspective of realist philosophy. One of the origins of this document was Klein’s discussion paper of 2005-07-02 entitled “Conceptology vs Reality” and the responses from Smith, as well as the several hours of discussions during the 2005 MIE meeting (...)
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  14. Supporting human autonomy in AI systems.Rafael Calvo, Dorian Peters, Karina Vold & Richard M. Ryan - 2020 - In Christopher Burr & Luciano Floridi (eds.), Ethics of digital well-being: a multidisciplinary approach. Springer.
    Autonomy has been central to moral and political philosophy for millenia, and has been positioned as a critical aspect of both justice and wellbeing. Research in psychology supports this position, providing empirical evidence that autonomy is critical to motivation, personal growth and psychological wellness. Responsible AI will require an understanding of, and ability to effectively design for, human autonomy (rather than just machine autonomy) if it is to genuinely benefit humanity. Yet the effects on human autonomy of digital experiences are (...)
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  15. Developing a Knowledge-Based System for Diagnosis and Treatment Recommendation of Neonatal Diseases Using CLIPS.Nida D. Wishah, Abed Elilah Elmahmoum, Husam A. Eleyan, Walid F. Murad & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):38-50.
    A newborn baby is an infant within the first 28 days of birth. Diagnosis and treatment of infant diseases require specialized medical resources and expert knowledge. However, there is a shortage of such professionals globally, particularly in low-income countries. To address this challenge, a knowledge-based system was designed to aid in the diagnosis and treatment of neonatal diseases. The system utilizes both machine learning and health expert knowledge, and a hybrid data mining process model was used to extract knowledge from (...)
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  16. From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse.Emily Sullivan & Philippe Verreault-Julien - forthcoming - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES’22).
    People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation or rationale for these decisions. There are different purposes that explanations can have, such as increasing user trust in the system or allowing users to contest the decision. One specific purpose that is gaining more traction is algorithmic recourse. We first pro- pose that recourse should be viewed as a recommendation problem, not an explanation problem. Then, we argue that the capability (...)
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  17. Decision support systems and its role in developing the universities strategic management: Islamic university in Gaza as a case study.Mazen J. Al Shobaki & Samy S. Abu Naser - 2016 - International Journal of Advanced Research and Development 1 (10):33-47.
    This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic management in (...)
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  18. Computerized Management Information Systems Resources and their Relationship to the Development of Performance in the Electricity Distribution Company in Gaza.Samy S. Abu Naser & Mazen J. Al Shobaki - 2016 - European Academic Research 4 (8):6969-7002.
    This paper aims to identify computerized management information systems resources and their relationship to the development of performance in the Electricity Distribution Company in Gaza. This research used two dimensions. The first dimension is computerized management information systems and the second dimension the Development of Performance. The control sample was (063). (360) questioners were distributed and (306) were retrieved back with a percentage of (85%). Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation (...)
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  19. An Explainable Affective Recommender based on the Commonsense Reasoning Framework TCL.Antonio Lieto - 2022 - AISC 2022.
    In this work we present an explainable system for emotion attribution and recommendation (called DEGARI (Dynamic Emotion Generator And ReclassIfier) relying on a recently introduced probabilistic commonsense reasoning framework (i.e. the TCL logic, see Lieto & Pozzato 2020) which is based on a human-like procedure for the automatic generation of novel concepts in a Description Logics knowledge base (see also Lieto et al. 2019, Chiodino et al. 2020 for other applications). In particular, in order to model human-like forms of concept (...)
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  20. An expert system for feeding problems in infants and children.Samy S. Abu Naser & Mariam W. Alawar - 2016 - International Journal of Medicine Research 1 (2):79--82.
    A lot of infants have significant food-related problems, as well as spitting up, rejecting new foods, or not accepting to eat at specific times. These issues are frequently ordinary and are not a sign that the baby is unwell. According to the National Institutes of Health, 25% of generally developing infants and 35% of babies with neurodevelopmental disabilities are tormented by some sort of feeding problem. Some, for example rejecting to eat specific foods or being overly finicky, are momentary and (...)
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  21. A System for Automatic Emotion Attribution based on a Commonsense Reasoning Framework.Antonio Lieto - 2021 - In Proceedings of AISC Graduate Conference. Roma RM, Italia: pp. 1-8.
    This work describes an explainable system for emotion attribution and recommendation (called DEGARI (Dynamic Emotion Generator And ReclassIfier) relying on a recently introduced probabilistic commonsense reasoning framework.
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  22. Developing Education in Israa University Using Intelligent Tutoring System.Hasan A. Abu Hasanein & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (5):1-16.
    This study was conducted with the aim of developing the academic work in the Palestinian universities. No one can deny the technological stage that we are witnessing in the present era. Our mission is to use this development to develop the educational process. The Artificial Intelligence of the most important branches of computer science, which is interested in the development of computer software in order to make them simulate intelligent human, recently it emerged promised based on artificial intelligence applications are (...)
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  23. System: A Core Conceptual Modeling Construct for Capturing Complexity.Roman Lukyanenko, Veda C. Storey & Oscar Pastor - 2024 - Mεtascience: Scientific General Discourse 3:128-203.
    The digitalization of human society continues at a relentless rate. However, to develop modern information technologies, the increasing complexity of the real-world must be modeled, suggesting the general need to reconsider how to carry out conceptual modeling. This research proposes that the often-overlooked notion of ‘‘system’’ should be a separate, and core, conceptual modeling construct and argues for incorporating it and related concepts, such as emergence, into existing approaches to conceptual modeling. The work conducts a synthesis of the ontology of (...)
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  24. Immune System Might Promote Recovery for Mild COVID-19 Patients Impact of Coronavirus on Education in India Review.Madhavan S. Azhagu, S. Ganesan, P. Vinotha, V. Uma, M. Mahadevi & J. Senthil - 2021 - Hospitality and Tourism Industry Amid COVID-19 Pandemic 1:465-477.
    Coronavirus is a viral irresistible sickness brought about by SARS- COV2. Its clinical signs and side effects are on an expansive range going from asymptomatic to serious confusions like multi-organ disappointment, thromboembolism, and extreme pneumonia with respiratory disappointment. More awful results and higher death rates have been accounted for in the old, individuals with co-morbidities, and malnourished people. Sustenance is central to acceptable wellbeing and safe capacity. It frames an essential segment of therapy modalities for different intense and persistent infections, (...)
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  25. What Makes Complex Systems Complex?Russ Abbott - 2018 - Journal on Policy and Complex Systems 4 (2):77-113.
    This paper explores some of the factors that make complex systems complex. We first examine the history of complex systems. It was Aristotle’s insight that how elements are joined together helps determine the properties of the resulting whole. We find (a) that scientific reductionism does not provide a sufficient explanation; (b) that to understand complex systems, one must identify and trace energy flows; and (c) that disproportionate causality, including global tipping points, are all around us. Disproportionate causality (...)
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  26. The Effectiveness of Knowledge Management Systems in Improving Teaching Motivation among Vietnamese Higher Education Staffs.Dan Li, Ni Putu Wulan Purnama Sari, Thien-Vu Tran, Minh-Hoang Nguyen & Quan-Hoang Vuong - manuscript
    This study investigates the dynamic relationship between knowledge management systems, particularly emphasizing knowledge acquisition and dissemination, and their impact on academic staff's teaching motivation. By employing the Bayesian Mindsponge Framework (BMF), data from 676 academic staff at higher education institutions in Vietnam was analyzed, revealing a complex interplay of factors. Notably, positive associations were found between knowledge acquisition, knowledge dissemination, and teaching motivation. However, the interaction effect of knowledge acquisition and knowledge dissemination appeared to be negatively associated with teaching (...)
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  27. Critical remarks on current practices of data article publishing: Issues, challenges, and recommendations.Quan-Hoang Vuong, Viet-Phuong La & Minh-Hoang Nguyen - 2024 - Data Science and Informetrics 4 (2):1-14.
    The contribution of the data paper publishing paradigm to the knowledge generation and validation processes is becoming substantial and pivotal. In this paper, through the information-processing perspective of Mindsponge Theory, we discuss how the data article publishing system serves as a filtering mechanism for quality control of the increasingly chaotic datasphere. The overemphasis on machine-actionality and technical standards presents some shortcomings and limitations of the data article publishing system, such as the lack of consideration of humanistic values, radical race for (...)
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  28. The Impact of Management Requirements and Operations of Computerized Management Information Systems to Improve Performance (Practical Study on the employees of the company of Gaza Electricity Distribution).Samy S. Abu Naser & Mazen J. Al Shobaki - 2016 - Al-Azhar University, Gaza 1 (1):1-28.
    The research aims to identify the impact of the management requirements on operating of computerized management information systems to improve performance, and discuss the perceptions of respondents to develop the performance of employees in the Gaza Electricity Distribution Company, the researchers used the stratified sample method, (360) questionnaires were distributed on the study sample, (306) questionnaires were recoved with a percentage of (85%). The most important findings of the study: computerized MI have a positive impact on the development of (...)
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  29. A Proposed Expert System for Diagnosis of Migraine.Malak S. Hammad, Raja E. N. Altarazi, Rawan N. Al Banna, Dina F. Al Borno & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):1-8.
    Migraine is a complex neurological disorder characterized by recurrent moderate to severe headaches, accompanied by additional symptoms such as nausea, sensitivity to light and sound, and visual disturbances. Accurate and timely diagnosis of migraines is crucial for effective management and treatment. However, the diverse range of symptoms and overlapping characteristics with other headache disorders pose challenges in the diagnostic process. In this research, we propose the development of an expert system for migraine diagnosis using artificial intelligence and the CLIPS (C (...)
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  30. A Proposed Expert System for Vertigo Diseases Diagnosis.Dina F. Al-Borno & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (6):1-9.
    Vertigo is a common symptom that can result from various underlying diseases and conditions, ranging from benign to severe. Accurate and timely diagnosis of the cause of vertigo is crucial for appropriate management and treatment. In this research, we propose the development of an expert system for vertigo diseases diagnosis, utilizing artificial intelligence (AI) and the proposed Expert System which was produced to help assist healthcare professionals in diagnosing the cause of vertigo based on a patient's symptoms, medical history, and (...)
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  31. An Expert System for Diagnosing Mouth Ulcer Disease Using CLIPS.Walid F. Murad & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):30-37.
    Mouth ulcers, also known as canker sores, are a common oral health issue affecting a significant portion of the population. Early and accurate diagnosis of mouth ulcers is crucial for effective treatment and prevention of complications. This paper presents an expert system developed using CLIPS (C Language Integrated Production System) to diagnose mouth ulcer disease. The expert system utilizes a rule-based approach, incorporating a comprehensive knowledge base consisting of symptoms, risk factors, and medical literature related to mouth ulcers. By employing (...)
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  32. An Intelligent Tutoring System for Developing Education Case Study (Israa University).Hasan Abdulla Abu Hasanein - 2018 - Dissertation, Al-Azhar University, Gaza
    This study was conducted with the aim of developing the academic work in the Palestinian universities. No one can deny the technological stage that we are witnessing in the present era. Our mission is to use this development to develop the educational process. The Artificial Intelligence of the most important branches of computer science, which is interested in the development of computer software in order to make them simulate intelligent human, recently it emerged promised based on artificial intelligence applications are (...)
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  33.  56
    Risks Deriving from the Agential Profiles of Modern AI Systems.Barnaby Crook - forthcoming - In Vincent C. Müller, Aliya R. Dewey, Leonard Dung & Guido Löhr (eds.), Philosophy of Artificial Intelligence: The State of the Art. Berlin: SpringerNature.
    Modern AI systems based on deep learning are neither traditional tools nor full-blown agents. Rather, they are characterised by idiosyncratic agential profiles, i.e., combinations of agency-relevant properties. Modern AI systems lack superficial features which enable people to recognise agents but possess sophisticated information processing capabilities which can undermine human goals. I argue that systems fitting this description, when they are adversarial with respect to human users, pose particular risks to those users. To explicate my argument, I provide (...)
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  34. Performance development and its relationship to demographic variables among users of computerized management information systems in Gaza electricity Distribution Company.Mazen J. Al Shobaki & Samy S. Abu Naser - 2016 - International Journal of Humanities and Social Science Research 2 (10):21-30.
    This paper aims to identify Performance development and its relationship to demographic variables among users of computerized management information systems in Gaza Electricity Distribution Company. This research used two dimensions. The first dimension is demographic variables among users of computerized management information systems and the second dimension the Development of Performance. The control sample was (360) questioners were distributed and (306) were retrieved back with a percentage of (85%). Several statistical tools were used for data analysis and hypotheses (...)
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  35. Decision Support Systems and Their Impact on the Development of the Organizational Structure in Palestinian Higher Education Institutions.Al Shobaki Mazen J. - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):1-22.
    The aim of the research is to identify decision support systems and their impact on the development of the organizational structure in Palestinian higher education institutions. The research was applied to four Palestinian universities (Al-Aqsa University, the Islamic University, Al-Azhar University, the University of Palestine), and a sample of academics with an administrative position. The analytical descriptive approach was used and secondary data was obtained through a survey list distributed to the research community of academics in an administrative position (...)
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  36. Presumptuous aim attribution, conformity, and the ethics of artificial social cognition.Owen C. King - 2020 - Ethics and Information Technology 22 (1):25-37.
    Imagine you are casually browsing an online bookstore, looking for an interesting novel. Suppose the store predicts you will want to buy a particular novel: the one most chosen by people of your same age, gender, location, and occupational status. The store recommends the book, it appeals to you, and so you choose it. Central to this scenario is an automated prediction of what you desire. This article raises moral concerns about such predictions. More generally, this article examines the ethics (...)
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  37. Farming systems research and spirituality : an analysis of the foundations of professionalism in developing sustainable farming systems.A. M. Eijk - unknown
    The practicability of the comprehensive FSR concept is problematic. Contemporary FSR must be positioned at the point of overlap between the positivist and constructivist paradigms, which are both grounded in a continual identification with the rational-empirical consciousness, in thinking -being.Spirituality, defined as the process in which one systematically trains the receptivity to gain regular access to transcendental consciousness, emphasizes the experience of just being, of consciousness-as-such. It is an experiential spirituality, which is not based on dogmas, but on do-it-yourself techniques (...)
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  38. Research on Context-Awareness Mobile SNS Recommendation Algorithm.Zhijun Zhang & Hong Liu - 2015 - Pattern Recognition and Artificial Intelligence 28.
    Although patterns of human activity show a large degree of freedom, they exhibit structural patterns subjected by geographic and social constraints. Aiming at various problems of personalized recommendation in mobile networks, a social network recommendation algorithm is proposed with a variety of context-aware information and combined with a series of social network analysis methods.Based on geographical location and temporal information, potential social relations among users are mined deeply to find the most similar set of users for the target user, then (...)
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  39. Ontology as the core discipline of biomedical informatics: Legacies of the past and recommendations for the future direction of research.Barry Smith & Werner Ceusters - 2007 - In Gordana Dodig Crnkovic & Susan Stuart (eds.), Computation, Information, Cognition: The Nexus and the Liminal.f. Cambridge Scholars Press. pp. 104-122.
    The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In (...)
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  40. Social philosophies in Japan’s vision of human-centric Society 5.0 and some recommendations for Vietnam.Manh-Tung Ho, Phuong-Thao Luu & T. Hong-Kong Nguyen - manuscript
    This essay briefly summarizes the key characteristics and social philosophies in Japan’s vision of Society 5.0. Then it discusses why Vietnam, as a developing country, can learn from the experiences of Japan in establishing its vision for an AI-powered human-centric society. The paper finally provides five concrete recommendations for Vietnam toward a harmonic and human-centric coexistence with increasingly competent and prevalent AI systems, including: Human-centric AI vision; Multidimensional, pluralistic understanding of human-technology relation; AI as a driving force for socio-economic (...)
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  41. School-community relationship and school system effectiveness in secondary schools in Cross River State.Valentine Joseph Owan - 2019 - World Journal of Vocational Education and Training 1 (1):11-19.
    This study assessed school-community relationship and school system effectiveness in secondary schools in Cross River State. Four null hypotheses were formulated accordingly as guide to the study. The study adopted descriptive survey research design. A total of 1,480 academic staff which comprised 271 principals, and 396 vice principals selected through census technique, and 813 teachers selected using simple random sampling technique, were used to elicit data for the study. “School-Community Relationship and Secondary School System Effectiveness Questionnaire (SCRSSSEQ)” was used as (...)
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  42. Enhancing the use of Decision Support Systems for Re-engineering of Operations and Business- Applied Study on the Palestinian Universities.Samy S. Abu Naser & Mazen J. Al Shobaki - 2016 - Journal of Multidisciplinary Engineering Science Studies 2 (5):505--512.
    This research aims to identify the use of decision support systems as an entry point for operations of re-engineering in the Palestinian universities in Gaza Strip. The researchers used the method of questionnaire to collect data, and the researchers used a sample stratified random way, were (350) questionnaire distributed on the research sample and (312) questionnaire were collected back (89.1%). The study results showed that the most important ones are: there exists statistically significant impact at the level of significance (...)
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  43. Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic.Alicia De Manuel, Janet Delgado, Parra Jonou Iris, Txetxu Ausín, David Casacuberta, Maite Cruz Piqueras, Ariel Guersenzvaig, Cristian Moyano, David Rodríguez-Arias, Jon Rueda & Angel Puyol - 2023 - Big Data and Society 10 (1).
    The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on (...)
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  44. The Role of Policies and Procedures for the Electronic Document Management System in the Success of the Electronic Document Management System in the Palestinian Pension Agency.Mohammed Khair I. Kassab, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (1):43-57.
    The aim of the research is to identify the role of policies and procedures for the electronic document management system in the success of the electronic document management system in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the analytical descriptive method in which the tries to describe the phenomenon studied, analyze its data, the relationship between its components and the opinions that are raised around it, and use the comprehensive inventory method (...)
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  45. The influence of private interests on research in behavioural public policy: A system-level problem.Liam Kofi Bright, Jonathan Parry & Johanna Thoma - 2023 - Behavioral and Brain Sciences 46:e150.
    Chater & Loewenstein argue that i-frame research has been coopted by private interests opposed to system-level reform, leading to ineffective interventions. They recommend that behavioural scientists refocus on system-level interventions. We suggest that the influence of private interests on research is problematic for wider normative and epistemic reasons. A system-level intervention to shield research from private influence is needed.
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  46.  67
    Innovative Remedial Teaching System: Identifying Slow Learners Using Quiz-Based Classification and Interactive Visualizations.Balaram V. V. S. Ss - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (1):1-12.
    The paper deals with a comprehensive methodology for the identification of slow learning students for remedial teaching and skill development. The slow learners face difficulties in the understanding of concepts and require more time and diversified teaching techniques. The approach presented here focuses on early and accurate identification of slow learners by modern technology, data analysis, and personalized learning plans. A quiz-based classifier combined with a 3D interactive model allows for the student to receive personally tailored recommendations and study material. (...)
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  47. Path analysis of innovative management practices and secondary school system effectiveness in Cross River State, Nigeria.Valentine Joseph Owan, Festus Obun Arop & Judith Nonye Agunwa - 2019 - British Journal of Education 7 (3):58-68.
    This study used a path analytic approach to examine the composite interaction of supervisory and records management with secondary school system effectiveness in terms of students' academic performance, teachers' job effectiveness and principals' administrative effectiveness. Two research questions were answered while one null hypothesis was tested. The study adopted a factorial research design. Convenience sampling technique was adopted by the researchers in selecting a sample of 1,200 respondents which comprised 271 principals and 929 teachers from a population of 271 principals, (...)
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  48.  47
    Metaphysical Postulates in Kenyan Education System: Are Learners Imbued with What Is Desirable? (3rd edition).Eliud Shani Ominde - 2024 - International Journal of Multidisciplinary Research and Innovation 2 (2):29/35.
    Metaphysical postulates of education are those attributes of education that render the process of education universally valid. The three metaphysical postulates the paper focuses on are: truth, goodness and unity which anchor knowledge, values and skills, in education. The Kenyan education system faces political, social and economic problems because of how metaphysical postulates are addressed. The paper analyses the metaphysical postulates and concludes that philosophy of education should be interspersed in the education system with a view to changing the attitude (...)
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  49. The Reality of Applying Human Resources Information Systems in Major Hospitals in the Southern Palestinian Governorates.Mazen J. Al Shobaki & Suliman A. El Talla - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (5):46-71.
    The study aimed to study the reality of the application of human resource information systems in the major hospitals in the southern Palestinian governorates. Department directors, department heads, and computer engineers), totaling (320) male and female employees during the year (2022), where the researchers prepared a questionnaire to achieve the purpose of the study on human resource information systems (Individual Performance Assessment, Organizational Performance Assessment, Performance Management, Training Development, And Knowledge Management). The most important findings of the two (...)
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  50. AWARENESS AND ACCEPTANCE OF BALAYEÑOS TOWARDS THE USE OF E- MONEY SYSTEMS.Aina Darlene B. Oñate, Patrick Paul R. Pacis, Michael M. Secreto, Renji Jones P. Villaranda, Mary Bernadette S. Sobrevilla & Jowenie A. Mangarin - 2024 - Get International Research Journal 2 (1):1–16.
    E-money systems have revolutionized global business transactions through digital payment methods. This quantitative correlational study aimed to assess the awareness and acceptance of e-money among individuals in Balayan, Batangas. Employing quota and purposive sampling, 100 participants aged 21 to 70 completed a survey questionnaire. Statistical analysis revealed that consumers were aware of e-money but lacked comprehensive knowledge. They acknowledged the convenience of e-money for online shopping and expense tracking. Age significantly influenced acceptance, while gender did not exhibit a similar (...)
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