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Social Learning Analytics for Determining Learning Styles in a Smart Classroom
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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
The Knowledge Required for Tutorial Planning: An Empirical Analysis.
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Littman, David; And Others – Interactive Learning Environments, 1990
Discussion of tutorial interactions in intelligent tutoring systems focuses on an empirical study of university students that identified five considerations human tutors take into account when they plan tutorial interventions to correct student bugs, or errors, in computer programming. Tutorial goals and strategies are described, and future…
Descriptors: Computer Science Education, Error Correction, Futures (of Society), Higher Education
Evolution of Novice Programming Environments: The Structure Editors of Carnegie Mellon University.
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Miller, Philip; And Others – Interactive Learning Environments, 1994
Describes three projects at Carnegie Mellon University (Pennsylvania) that developed novice programming environments based on structure editors: GNOME, MacGNOME and ACSE (Advanced Computing for Science Education). Tracks the evolution of the programming environments and courses, documenting important lessons and discoveries about novice…
Descriptors: Computer Science Education, Computer Uses in Education, Educational Environment, Higher Education
Computer Environments for Proof Construction.
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Scheines, Richard; Sieg, Wilfried – Interactive Learning Environments, 1994
Using a computerized logic course employing the Carnegie Mellon Proof Tutor problem-solving environment, crucial features of computer environments were isolated and relative pedagogical effectiveness was assessed. Students used computerized environments to construct proofs and were presented with identical course materials on sentential logic. The…
Descriptors: Computer Interfaces, Computer Science Education, Heuristics, Higher Education
Supporting the Learning of Recursive Problem Solving.
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Bhuiyan, Shawkat; And Others – Interactive Learning Environments, 1994
Presents the PETAL (Programming Environment Tool) learning environment, and discusses a study where one group of students used PETAL and another used a standard LISP environment to learn recursion. The PETAL group performed better during the learning period and on a written posttest. Theorizes why PETAL may be responsible for improved learning of…
Descriptors: Computer Science Education, Computer Uses in Education, Educational Environment, Higher Education
Using the Internet to Improve University Education: Problem-Oriented Web-Based Learning with MUNICS
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Fischer, Frank; Troendle, Pamela; Mandl, Heinz – Interactive Learning Environments, 2003
Up to this point, university education has largely remained unaffected by the developments of novel approaches to web-based learning. The paper presents a principled approach to the design of problem-oriented, web-based learning at the university level. The principles include providing authentic contexts with multimedia, supporting collaborative…
Descriptors: Internet, Computer Science, Computer Assisted Instruction, Computer Software