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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Valentina Nachtigall; Selina Yek; Nikol Rummel – Journal of Computer Assisted Learning, 2024
Background: With the increasing availability of immersive technologies such as 360° videos for educational purposes, research needs to shift from media comparison studies to value-added studies in order to identify conditions for effective learning with such technologies. For the educational use of history-related virtual reality media, which are…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
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Navratil, Sabrina D.; Kühl, Tim – Journal of Computer Assisted Learning, 2019
Self-generated learning (SGL) activities are characterized as an active learning strategy that functions as a support for deeper comprehension. However, the question arises which factors could be essential to fully exploit the effectiveness of SGL activities. One possible factor may be the emotional state of learners during learning. Because…
Descriptors: Emotional Response, Learning Strategies, Active Learning, Learning Activities