Using educational robots to integrate computational thinking with cross-disciplinary content has gone beyond Science, Technology, Engineering, and Mathematics, to include foreign-language learning and further cross-context target-language acquisition. Such integration must not solely emphasise CT problem-solving skills. Rather, it must provide students with interactive learning to support their target-language interaction while reducing potential TL anxiety. This study aimed to validate the effects of the proposed method of pair programming along with question-and-response interaction in a board-game activity on young learners’ CT skills (...) and TL learning across contexts. Two Grade 6 classes, one with 16 students who were studying Chinese as a Second Language and the other with 16 students who were studying English as a Foreign Language, participated in the activity. A series of instruments on achievement assessment, questionnaires on CT skills and TL anxiety, and sequential learning behaviour analysis were used to critically examine the results. The main conclusion is that the EFL group showed better social skills of cooperation on CT and lower TL learning anxiety, while the CSL group demonstrated better problem-solving skills in CT, but presented more behaviours of trial-and-error loops. Results not only contribute suggestions for cross-disciplinary learning but also provide support for cross-context instruction beyond educational coursework. (shrink)

The concept and the main stakeholders of E-learning ecosystem are investigated at the article. University is regarded as a center of such ecosystem due to skilled knowledge providers and technical equipment availability. Studying different cases authors prove that higher educational institution plays a driver role in different projects, especially social start-up projects. Different models of partnership between universities and other stakeholders are considered. In authors’ opinion, one of the most perspective collaborative projects are in frame of “students – schoolchildren” due (...) to effective knowledge transfer. Such kind of cooperation can fill the gap between school and university education. Particularly the framework of e-learning project in financial literacy for orphans totally prepared and executed by students is considered. The ICT tools are very actively used in these initiatives aiming to develop high demanded skills as critical thinking, creativity and complex problem solving. As a result, schoolchildren are receiving a toolkit for basic data analysis, developing own business plan and adopting evidencebased decisions. The authors prove that E-learning projects are able to improve both information and financial literacy and also increase the level of inclusivity into education of weak and socially unprotected children from orphanages. The article will be useful for the representatives from universities, orphanages, companies who eager to boost the level of their social responsibility. The aim of the research is to reveal different types of cooperation under social projects between higher educational institutions and other stakeholders, using wide range of ICT e-learning tools as well. In addition, to develop a set of recommendations to the universities of collaboration roadmap. (shrink)

This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news trends, market segmentation and advertising, insurance or loan qualification, and credit scoring. These mechanisms of classification all frequently rely on computational algorithms, and in many cases on machine learning algorithms to do this work. In this article, I draw a distinction between three forms of opacity: opacity as intentional corporate or state (...) secrecy, opacity as technical illiteracy, and an opacity that arises from the characteristics of machine learning algorithms and the scale required to apply them usefully. The analysis in this article gets inside the algorithms themselves. I cite existing literatures in computer science, known industry practices, and do some testing and manipulation of code as a form of lightweight code audit. I argue that recognizing the distinct forms of opacity that may be coming into play in a given application is a key to determining which of a variety of technical and non-technical solutions could help to prevent harm. (shrink)

Here we discuss the role of Computational Thinking, Engineering Education Epistemology, Computational Science Education and the integration of Arts with STEM in education and more generally in learning and teaching approaches and learning objectives. We present arguments from research articles and we propose activities that support our model for Computational STEAM Pedagogy. The purpose of the literature review is to outline research studies in the different forms of STEAM integration and to highlight how CT, EEE, CSE and Arts can be (...) used in this integration and what epistemology can support this holistic approach. The main objective is to summarise what is currently known about the STEAM approaches and to add to the existing literature with a primary model which connects EEE with the Computational pedagogical knowledge mode. The bibliography presents materials covering theoretical considerations around Computational Thinking, Engineering Epistemology, STEM Epistemology, Computational Science in Education and Arts in STEAM. Literature review was conducted using several web-based search engine tools like Web of Science, Google Scholar and open Google searches. (shrink)

Este volumen contiene los trabajos presentados en el I Simposio de Pensamiento Contemporáneo, celebrado en la Universidad Técnica Particular de Loja (UTPL) durante los días 23 y 24 de enero de 2019 y cuyo tema central fue las «Nuevas Tecnologías en la Educación» (SPC–NTE). Este Simposio tuvo como objetivo fomentar la interacción entre personas de diferentes formaciones e intereses en la discusión de problemas y soluciones relevantes para la educación en la era digital, a fin de intercambiar ideas sobre prácticas (...) e investigaciones que busquen comprender, mejorar y ampliar el uso de las nuevas tecnologías en los procesos de enseñanza–aprendizaje en los más diferentes contextos de enseñanza. 28 trabajos analizan abordan temáticas de especial interés para los futuros docentes, así como para quienes ya se desempeñan como tales en los diversos niveles educativos. Estos textos son instantáneas breves, ágiles y claras de las contribuciones teóricas o de experiencias pedagógicas que tratan sobre ambientes, softwares y hardwares para apoyar la enseñanza y aprendizaje; TIC en la educación universitaria; técnicas y estrategias lúdicas en educación; experiencias pedagógicas con las TIC y humanidades digitales en la educación. (shrink)

Can there be higher level laws of nature even though everything is reducible to the fundamental laws of physics? The computer science notion of level of abstraction explains how there can be.

Se diseña un tutorial para enseñar música en Educación Secundaria, para tratar elementos que intervienen en la construcción de una obra musical como la melodía, el ritmo, la armonía, el timbre y el tempo o dinámica. La propuesta pretende ser una guía o trazar un camino diferente hacia la adquisición de estos mismos contenidos curriculares, a través de un tutorial del programa de creación sonora a través de código, Sonic Pi. A través de un aprendizaje lúdico, vinculado a la gamificación, (...) se promulgan nuevas formas de aprendizaje, fomentando la motivación. Se diseña una herramienta de evaluación final. (shrink)

Given the widespread acceptance of computational thinking in educational systems around the world, primary and higher education has begun thinking about how to cultivate students' CT competences. The artificial intelligence of things combines artificial intelligence and the Internet of things and involves integrating sensing technologies at the lowest level with relevant algorithms in order to solve real-world problems. Thus, it has now become a popular technological application for CT training. In this study, a novel AIoT learning with Augmented Reality technology (...) was proposed and explored the effect of CT skills. The students used AR applications to understand AIoT applications in practice, attempted the placement of different AR sensors in actual scenarios, and further generalized and designed algorithms. Based on the results of the experimental course, we explored the influence of prior knowledge and usage intention on students' CT competence training. The results show that proposed AIoT learning can increase students' learning intention and that they had a positive impact on problem solving and comprehension with AR technology, as well as application planning and design. (shrink)

Algorithms have become a widespread trope for making sense of social life. Science, finance, journalism, warfare, and policing—there is hardly anything these days that has not been specified as “algorithmic.” Yet, although the trope has brought together a variety of audiences, it is not quite clear what kind of work it does. Often portrayed as powerful yet inscrutable entities, algorithms maintain an air of mystery that makes them both interesting and difficult to understand. This article takes on this problem and (...) examines the role of algorithms not as techno-scientific objects to be known, but as a figure that is used for making sense of observations. Following in the footsteps of Harold Garfinkel’s tutorial cases, I shall illustrate the implications of this view through an experiment with algorithmic navigation. Challenging participants to go on a walk, guided not by maps or GPS but by an algorithm developed on the spot, I highlight a number of dynamics typical of reasoning with running code, including the ongoing respecification of rules and observations, the stickiness of the procedure, and the selective invocation of the algorithm as an intelligible object. The materials thus provide an opportunity to rethink key issues at the intersection of the social sciences and the computational, including popular concerns with transparency, accountability, and ethics. (shrink)

In this paper, I review the objections against the claim that brains are computers, or, to be precise, information-processing mechanisms. By showing that practically all the popular objections are either based on uncharitable interpretation of the claim, or simply wrong, I argue that the claim is likely to be true, relevant to contemporary cognitive (neuro)science, and non-trivial.

The rapid development of computers and technology affects modern daily life. Individuals in the digital age need to develop computational thinking skills. Existing studies have shown that programming teaching is conducive to cultivating students’ CT, and various learning models have different effects on the cultivation of CT. This study proposed a problem-oriented learning model that is closely related to programming and computational thinking. In all, 60 eighth-grade students from a middle school in China were divided into an experimental group which (...) adopted the POL model, and a control group which adopted the lecture-and-practice learning model. The results showed that the students who were instructed using the POL model performed better than those who were instructed using the LAP model on CT concepts, CT practices, and CT perspectives. Significant differences were found for CT concepts and CT perspectives, but not for CT practices. Findings have implications for teachers who wish to apply new learning models to facilitate students’ CT skills, and the study provides a reference case for CT training and Python programming teaching. (shrink)

Artificial intelligence has been adopted in a wide range of domains. This shows the imperative need to contribute to making citizens insightful actors in debates and decisions involving the adoption of AI mechanisms. Currently, existing approaches to the teaching of basic AI concepts through programming treat machine intelligence as an external element/module. After being trained, that external module is coupled to the main application. Combining block-based programming and WiSARD weightless artificial neural networks, this article presents the conceptualization and design of (...) a new methodology, AI from concrete to abstract, to endow general people with a minimum understanding of what AI means. The main strategy adopted was to include AI training and classification primitives as blocks that compose an otherwise conventional computer program. This way, the programmer can use these blocks as he/she uses other programming constructs. In order to achieve this purpose, we also propose BlockWiSARD, a block-based programming environment designed to promote the demystification of artificial intelligence via practical activities related to the development of learning machines, as well as through the observation of their learning process. As a beneficial side effect of BlockWiSARD, the difference between a program capable of learning from data and a conventional computer program becomes more evident. In addition, the simplicity of the WiSARD weightless artificial neural network model enables easy visualization and understanding of training and classification tasks internal realization. (shrink)

Abstract‘Computational thinking’ (CT) is highlighted in research literature, societal debates, and educational policies alike as being of prime significance in the 21st century. It is currently being introduced into K–12 (primary and secondary education) curricula around the world. However, there is no consensus on what exactly CT consists of, which skills it involves, and how it relates to programming. This article pinpoints four competing claims as to what constitutes the defining traits of CT. For each of the four claims, inherent (...) philosophical presuppositions are identified concerning the nature of thinking, problem-solving, and human–computer relationships. It is argued that most of these philosophical presuppositions are very similar to ones that Hubert Dreyfus and Donald Schön addressed forty to fifty years ago. Therefore, claims about the power of CT raise old discussions in a new disguise. Dreyfus and Schön argued that the presuppositions were wrong. Do their arguments hold and thus defeat contemporary claims about CT? Alternatively, has the technological development since the time of their writings proven them wrong? This article argues that it is necessary to heed the arguments of Dreyfus, Schön, and—later—Bent Flyvbjerg to ensure that CT curricula are built in accord with the value-rational nature of human practice, rather than on misconceived rationalizations of problem-solving, computer use, and computational aspects in the world. However, the pervasive integration of information technology in today's world raises new issues concerning human–machine collaborations that sidetrack the arguments of Dreyfus and Schön. A revised view of CT is required which focusses on articulating how humans can design for, partake in, and critically appraise human–machine collaborations. (shrink)

Sporadic efforts have been made to introduce computational thinking methods into K-12 education in Palestine, but these have been held back by the challenging educational environment. However, a recent in-service training initiative, funded and organized by the Ministry or Education of Palestine, constitutes a significant effort to embed computational thinking in K-12 practice. The middle school teachers who participated in the training course were invited to participate in the present study, and 38 did so. A qualitative approach involving both interviews (...) with teachers and classroom observations was used in data collection. All the teachers agreed to be observed in their classrooms, while 20 of the 38 also agreed to participate in the interviews. The findings showed that teachers of a range of topics, including social sciences and languages, employed computational thinking skills in teaching their students, but they were confronted by a number of challenges, including technical infrastructure and support, and a lack of time to prepare CT classes and space in the curriculum to deliver them. The results indicate that the most appropriate action to support teachers’ delivery of CT would be to provide peer exchanges and expert coaching in the integration of CT in the curriculum. (shrink)

Basic Digital Education is already planned to be integrated with the forthcoming curriculum for Austrian primary schools as it was already implemented for lower secondary schools in 2018. BDE includes the most essential and novel developments of Computational Thinking, which are fundamentally responsible for nurturing students' problem-solving skills. Thus, evaluating teaching materials, scaffolding guidelines, and assessments is becoming increasingly important for the successful implementation of CT in Austrian classrooms. This study is a part of a longitudinal multi-cycle educational design research (...) project aiming to explore how to foster CT and to raise the awareness, importance, and confidence of teachers and students in applying CT for everyday uses. Our paper focuses on a sub-study in which teaching units for grade 3 and 4 students were designed by combining an Open Educational Resource textbook and Physical Computing with the micro:bit device. The designed learning environment consists of three units and was implemented in two classes over 3 weeks. The two classes were further split into two groups each, to ensure better support during implementation. The class teachers received upfront teacher training and conducted pre- and post-test assessments with the students. The resulting data was then analyzed to gain insights into the effects on CT skills of the young learners. Results showed that combining block-based programming and physical computing devices could become a promising approach to promote computational thinking skills in lower school grades. Furthermore, the observed direction of the designed units supports low-barrier access to increase the desired uses of CT in classrooms. (shrink)

In this essay, Amy Voss Farris and Pratim Sengupta argue that a democratic approach to children's computing education in a science class must focus on the aesthetics of children's experience. In Democracy and Education, Dewey links “democracy” with a distinctive understanding of “experience.” For Dewey, the value of educational experiences lies in “the unity or integrity of experience.” In Art as Experience, Dewey presents aesthetic experience as the fundamental form of human experience that undergirds all other forms of experiences and (...) that can bring together multiple forms of experiences, locating this form of experience in the work of artists. Particularly relevant to the focus of this essay, computational literacy, Dewey calls the process through which a person transforms a material into an expressive medium an aesthetic experience. Farris and Sengupta argue that the kind of experience that is appropriate for a democratic education in the context of children's computational science is essentially aesthetic in nature. Given that aesthetics has received relatively little attention in STEM education research, the authors' purpose here is to highlight the power of Deweyan aesthetic experience in making computational thinking available and attractive to all children, including those who are disinterested in computing, and especially those who are likely to be discounted by virtue of location, gender, or race. (shrink)

The twenty-first century is arguably the century of computing. In such a world saturated by computing, Computational Thinking is now recognized as a foundational competency for being an informed citizen and being successful in STEM work. Nevertheless, how to effectively import different types of teaching methods in university courses is subjected to further evaluation. Currently, the arguments in favor of tangible robots including high interaction, great practicality, and specific operation results make themselves to be often used as a teaching medium (...) and tool for teaching activities between teachers and students. Hence, in addition to cultivating students with computational thinking ability, this paper discussed how to integrate tangible robots into project-based learning courses of thinking skills training to improve the learning performance of the computational thinking ability. This study conducted in one semester on the 105 students from three classes. Experimental results show that the project-based learning method integrated with the teaching material of robotic visual programs approach had significantly better effectiveness in improving students' learning achievements than the traditional teaching method integrated with paper practice teaching materials approach. Analysis of the questionnaire results showed that the proposed learning approach did not increase the students' cognitive burden. In sum, the proposed approach helps students' learning achievement and cognitive load. (shrink)

Studies of scientific practice demonstrate that the development of scientific models is an enactive and emergent process. Scientists make meaning through processes such as perspective taking, finding patterns, and following intuitions. In this paper, we focus on how a group of fourth grade learners and their teacher engaged in interpretation in ways that align with core ideas and practices in kinematics and computing. Cycles of measuring and modeling––including computer programming––helped to support classroom interactions that highlighted the interpretive nature of modeling (...) and participation in model construction as a knowledge-building process. We draw on literature from the history and philosophy of science in order to analyze the students’ interpretive actions as forms of epistemic and representational agency, constituting a construct we term disciplined interpretation. We demonstrate how students’ disciplined interpretative moves help to position them as owners of their own design decisions and their rights to interpret the phenomena they were modeling, data collected from those phenomena, and the scientific and computational models themselves. We present four extended episodes that characterize the nature of activity in the classroom and the development of students’ disciplined interpretations in terms of learning to recognize scientific patterns amid complex perceptual fields, and to represent them in ways that support sensemaking. (shrink)

Una de las problemáticas de la educación hoy en día es que se continúa privilegiando la enseñanza del contenido sobre el desarrollo de destrezas y habilidades cognitivas que permitan un desarrollo del pensamiento de losestudiantes. Frente a una educación tradicional, se considera que una reflexión del pensamiento complejo puede contribuir a una mejor comprensión de una realidad contemporánea. La educación hoy tiene como reto el explicar y el comprender, desde una perspectiva hermenéutica, las nuevas complejidades de la realidad con la (...) aparición y utilización cotidiana del internet, de las TIC, de la web 2.0 y de las redes sociales. Por este motivo, se plantea una relación entre pensamiento complejo y el pensamiento computacional que incide en un mejoramiento de la calidad educativa. En el presente artículo se iniciará con una reflexión en torno a la educación a partir de la concepción de incertidumbre del pensamiento complejo. Luego se plantearán elementos de conexión entre un pensamiento complejo y un pensamiento computacional a partir del conectivismo y los desafíos de una sociedad 3.0 en la que las tecnologías de la información y comunicación se encuentran incorporadas en la vida cotidiana de los seres humanos. A su vez, una definición de pensamiento computacional nos situará sobre esta nueva forma de pensar a partir de problemas reales a través de una nueva lógica computacional para lograr resoluciones. El pensamiento computacional desafía a la educación contemporánea a incorporar este nuevo enfoque para la solución de problemas, construcción de sistemas y comprensión de la relación prospectiva entre la ciencia, la tecnología y una sociedad 3.0. (shrink)

This paper explores the history of ELIZA, a computer programme approximating a Rogerian therapist, developed by Jospeh Weizenbaum at MIT in the 1970s, as an early AI experiment. ELIZA’s reception provoked Weizenbaum to re-appraise the relationship between ‘computer power and human reason’ and to attack the ‘powerful delusional thinking’ about computers and their intelligence that he understood to be widespread in the general public and also amongst experts. The root issue for Weizenbaum was whether human thought could be ‘entirely computable’. (...) This also provoked him to re-consider the nature of machine intelligence and to question the instantiation of its logics in the social world, which would come to operate, he said, as a ‘slow acting poison’. Exploring Weizenbaum’s 20th Century apostasy, in the light of ELIZA, illustrates ways in which contemporary anxieties and debates over machine smartness connect to earlier formations. In particular, this article argues that it is in its designation as a computational therapist that ELIZA is most significant today. ELIZA points towards a form of human–machine relationship now pervasive, a precursor of the ‘machinic therapeutic’ condition we find ourselves in, and thus speaks very directly to questions concerning modulation, autonomy, and the new behaviorism that are currently arising. (shrink)