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Lottridge, Susan; Woolf, Sherri; Young, Mackenzie; Jafari, Amir; Ormerod, Chris – Journal of Computer Assisted Learning, 2023
Background: Deep learning methods, where models do not use explicit features and instead rely on implicit features estimated during model training, suffer from an explainability problem. In text classification, saliency maps that reflect the importance of words in prediction are one approach toward explainability. However, little is known about…
Descriptors: Documentation, Learning Strategies, Models, Prediction
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Klingenberg, Sara; Fischer, Rachel; Zettler, Ingo; Makransky, Guido – Journal of Computer Assisted Learning, 2023
Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of…
Descriptors: Computer Simulation, Computer Uses in Education, Secondary School Students, STEM Education
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Lee, Hye Yeon; List, Alexandra – Journal of Computer Assisted Learning, 2019
This study examined strategies used across two modalities of information presentation. Students were presented with two sources on endangered species, either as two texts or two videos. Then, participants were asked to annotate the two sources either using the track changes function in Microsoft Word, for the text condition, or using the VideoAnt,…
Descriptors: Video Technology, Written Language, Documentation, Word Processing