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Grit and Learning: Understanding the Sequential Learning Behaviours in Snap!
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Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Making Sense of Epistemic Categories: Analysing Students' Use of Categories of Progressive Inquiry in Computer Mediated Collaborative Activities
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Arnseth, H. C.; Saljo, R. – Journal of Computer Assisted Learning, 2007
The topic of this article concerns how students make sense of categories of progressive inquiry made available to them through a discussion and inquiry type of software called Future Learning Environments 2 (FLE2). The idea behind tools of this kind is to induce approaches to school-work that build on the metaphor of learning as research. By…
Descriptors: Learning Activities, Educational Practices, Classification, Computer Software
What Are Expert Systems?
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d'Agapeyeff, A. – Journal of Computer Assisted Learning, 1986
Intended for potential business users, this paper describes the main characteristics of expert systems; discusses practical use considerations; presents a taxonomy of the systems; and reviews several expert system development projects in business and industry. (MBR)
Descriptors: Classification, Computer Software, Definitions, Foreign Countries