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Petit, Jordi; Roura, Salvador; Carmona, Josep; Cortadella, Jordi; Duch, Jordi; Giménez, Omer; Mani, Anaga; Mas, Jan; Rodríguez-Carbonell, Enric; Rubio, Enric; de San Pedro, Enric; Venkataramani, Divya – IEEE Transactions on Learning Technologies, 2018 is an open educational online programming judge designed for students and instructors, featuring a repository of problems that is well organized by courses, topics, and difficulty. Internally, uses a secure and efficient architecture and integrates modern verification techniques, formal methods, static code analysis, and data…
Descriptors: Programming, Computer Science Education, Electronic Learning, Experiential Learning
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Sra, Pushp; Chakraborty, Pinaki – Journal of Educational Technology Systems, 2018
Massive open online courses (MOOCs) have lately emerged as an effective form of distance education. Computer science is one of those disciplines in which MOOCs are quite common. We conducted a survey to know the opinion of computer science instructors and undergraduate students on MOOCs in an Indian university in March 2018. Of the 26 instructors…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Educational Technology
Sims, Matthew – ProQuest LLC, 2017
This dissertation examines the relationship between American fiction and computing. More specifically, it argues that each domain explored similar formal possibilities during a period I refer to as Early Postmodernism (1965-1980). In the case of computing, the 60s and 70s represent a turning point in which modern systems and approaches were…
Descriptors: Fiction, Writing Processes, Computation, United States Literature
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Mitnik, Ruben; Recabarren, Matias; Nussbaum, Miguel; Soto, Alvaro – Computers & Education, 2009
Graphing is a key skill in the study of Physics. Drawing and interpreting graphs play a key role in the understanding of science, while the lack of these has proved to be a handicap and a limiting factor in the learning of scientific concepts. It has been observed that despite the amount of previous graph-working experience, students of all ages…
Descriptors: Graphs, Physics, Scientific Concepts, Robotics
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Hof, Barbara – History of Education, 2021
Drawing on historical epistemology and considerations on the function of scientific modelling, this article investigates how in the mid-twentieth century electronic and programmable animal models became tools for exploring the inaccessible ontology of the human mind. The article examines how machines have informed our understanding of the learning…
Descriptors: Constructivism (Learning), Learning Processes, Foreign Countries, Epistemology
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Zanetti, Margot; Iseppi, Giulia; Cassese, Francesco Peluso – Research on Education and Media, 2019
This work analyses the use of artificial intelligence in education from an interdisciplinary point of view. New studies demonstrated that an AI can "deviate" and become potentially malicious, due to programmers' biases, corrupted feeds or purposeful actions. Knowing the pervasive use of artificial intelligence systems, including in the…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Influence of Technology
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How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
Artificial intelligence-enabled adaptive learning systems (AI-ALS) are increasingly being deployed in education to enhance the learning needs of students. However, educational stakeholders are required by policy-makers to conduct an independent evaluation of the AI-ALS using a small sample size in a pilot study, before that AI-ALS can be approved…
Descriptors: Stakeholders, Artificial Intelligence, Bayesian Statistics, Probability
Herther, Nancy K. – Microcomputers for Information Management: An International Journal for Library and Information Services, 1986
Briefly introduces the programming languages of artificial intelligence and presents information on some of the new versions of these languages available for microcomputers. A tutorial for PROLOG-86, a new microcomputer version of PROLOG, is given. Information on other microcomputer versions of these programs and a bibliography are included.…
Descriptors: Artificial Intelligence, Computer Software, Logic, Microcomputers
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Cabrol, D. – Journal of Chemical Education, 1986
Prolog is one of the most successful "very high level languages." Describes this programming language (a product of artificial intelligence research) and attempts to show how it functions by using some short examples to illustrate its essential features. (JN)
Descriptors: Chemistry, College Science, Higher Education, Programing Languages
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Crowe, Dale; LaPierre, Martin; Kebritchi, Mansureh – TechTrends: Linking Research and Practice to Improve Learning, 2017
With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era.…
Descriptors: Artificial Intelligence, Information Technology, Distance Education, Instructional Design
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Auerbach, Joshua E.; Concordel, Alice; Kornatowski, Przemyslaw M.; Floreano, Dario – IEEE Transactions on Learning Technologies, 2019
It has often been found that students appreciate hands-on work, and find that they learn more with courses that include a project than those relying solely on conventional lectures and tests. This type of project driven learning is a key component of "Inquiry-based learning" (IBL), which aims at teaching methodology as well as content by…
Descriptors: Active Learning, Inquiry, Robotics, Artificial Intelligence
Papert, Seymour; Turkle, Sherry – Humanistic Mathematics Network Journal, 1992
Describes a study in which the computer has emerged as an important factor in revolution of concrete--privileged medium for the growth of alternative voices in addressing the world of formal systems. Focuses on a concrete way of knowing and concludes that recent technological developments in interfaces, programming philosophy, and artificial…
Descriptors: Cognitive Style, Computer Uses in Education, Educational Technology, Elementary Secondary Education
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Carpio Cañada, J.; Mateo Sanguino, T. J.; Merelo Guervós, J. J.; Rivas Santos, V. M. – Journal of Computer Assisted Learning, 2015
Limitations of formal learning (e.g., one-way communication, rigid methodology, results-oriented approach) can significantly influence the motivation and expectation of students, thus resulting in an academic progress reduction. In order to make learning processes more playful and motivating, this paper presents a new educational experience…
Descriptors: Foreign Countries, Open Education, Computer Science Education, Artificial Intelligence
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Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement
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Evers, Colin W. – Journal of School Leadership, 1998
Explores implications for understanding educational decision making from a cognitive science perspective. Examines three models of mind providing the methodological framework for decision-making studies. The "absent mind" embodies the behaviorist research tradition. The "functionalist mind" underwrites traditional cognitivism…
Descriptors: Behaviorism, Brain, Cognitive Processes, Decision Making
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