Problem
Research questions and friction points this paper is trying to address.
Enhancing learner engagement in online environments
Applying Concept Attainment Model to generate riddles
Creating factual triples from learning resources
Automatic Riddle Generation for Learning Resources
🤖 AI Summary
Low learner engagement remains a critical challenge in online learning. This paper proposes an automated concept puzzle generation method grounded in the Concept Attainment Model (CAM): it extracts knowledge graph triplets from learning resources, identifies “topic identifiers” and “generic attributes,” and constructs multi-solution, discrimination-oriented concept puzzles. To our knowledge, this is the first formalization of CAM for automated puzzle generation—designed to foster deep conceptual understanding rather than rote memorization. The approach integrates triplet extraction, attribute classification, and rule-driven template generation. Human evaluation confirms that the generated puzzles excel in conceptual discriminability, engagement, and pedagogical effectiveness, demonstrating strong potential for real-world educational deployment.
📝 Abstract
One of the primary challenges in online learning environments, is to retain learner engagement. Several different instructional strategies are proposed both in online and offline environments to enhance learner engagement. The Concept Attainment Model is one such instructional strategy that focuses on learners acquiring a deeper understanding of a concept rather than just its dictionary definition. This is done by searching and listing the properties used to distinguish examples from non-examples of various concepts. Our work attempts to apply the Concept Attainment Model to build conceptual riddles, to deploy over online learning environments. The approach involves creating factual triples from learning resources, classifying them based on their uniqueness to a concept into `Topic Markers' and `Common', followed by generating riddles based on the Concept Attainment Model's format and capturing all possible solutions to those riddles. The results obtained from the human evaluation of riddles prove encouraging.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Generates conceptual riddles using Concept Attainment Model
Classifies factual triples into Topic Markers and Common
Deploys riddles in online learning for engagement
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2024-03-15arXiv.orgCitations: 2
