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Moore, Russell; Caines, Andrew; Elliott, Mark; Zaidi, Ahmed; Rice, Andrew; Buttery, Paula – International Educational Data Mining Society, 2019
Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…
Descriptors: Models, Knowledge Representation, Skills, Artificial Intelligence
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Machado, Crystiano José Richard; Maciel, Alexandre Magno Andrade; Rodrigues, Rodrigo Lins – International Journal of Distance Education Technologies, 2019
Discussion forums in learning management systems (LMS) have been shown to promote student interaction and contribute to the collaborative practice in the teaching-learning process. By evaluating the postings, teachers can identify students with learning difficulties. However, due to the large volume of posts that are generated on a daily basis in…
Descriptors: Discussion Groups, Integrated Learning Systems, Learning Problems, Content Analysis
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Py, Dominique; Després, Christophe; Jacoboni, Pierre – Technology, Instruction, Cognition and Learning, 2015
Although providing open learner models to teachers and learners has proven effective, building accurate learner models remains a very complex task, partly due to the large amount of data that must be analyzed. We propose a method for specifying an open learner model at the conceptual level. This model re-uses constraints or indicators already…
Descriptors: Open Education, Models, Design, Programming Languages
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Schultheis, Holger; Bertel, Sven; Barkowsky, Thomas – Cognitive Science, 2014
This article presents research into human mental spatial reasoning with orientation knowledge. In particular, we look at reasoning problems about cardinal directions that possess multiple valid solutions (i.e., are spatially underdetermined), at human preferences for some of these solutions, and at representational and procedural factors that lead…
Descriptors: Spatial Ability, Cognitive Processes, Problem Solving, Computation
Srivastava, Siddharth – ProQuest LLC, 2010
Research in the field of Automated Planning is largely focused on the problem of constructing plans or sequences of actions for going from a specific initial state to a goal state. The complexity of this task makes it desirable to find "generalized" plans which can solve multiple problem instances from a class of similar problems. Most approaches…
Descriptors: Knowledge Representation, Planning, Models, Automation
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Caid, William R.; And Others – Information Processing & Management, 1995
The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using…
Descriptors: Automatic Indexing, Computation, Conferences, Context Effect
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Kuo, Rita; Lien, Wei-Peng; Chang, Maiga; Heh, Jia-Sheng – Educational Technology & Society, 2004
This paper proposes a methodology to calculate both the difficulty of the basic problems and the difficulty of solving a problem. The method to calculate the difficulty of problem is according to the process of constructing a problem, including Concept Selection, Unknown Designation, and Proposition Construction. Some necessary measures observed…
Descriptors: Problem Solving, Identification, Planning, Difficulty Level