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Direct linkZhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2021
Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…
Descriptors: Semantics, Networks, Multiple Choice Tests, Teaching Methods
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
Hu, Jun; van der Vlist, Bram; Niezen, Gerrit; Willemsen, Willem; Willems, Don; Feijs, Loe – Interactive Learning Environments, 2013
We present two designs in the area of the Internet of Things, utilizing the ontology-driven Smart Objects For Intelligent Applications (SOFIA) Interoperability Platform (IOP). The IOP connects domestic objects in the physical world to the information world, allowing for coaching the behaviour of, or raising awareness in, domestic energy…
Descriptors: Internet, Computer System Design, Environmental Education, Consciousness Raising
