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Effects of artificial Intelligence-Enabled personalized recommendations on learners' learning engagement, motivation, and outcomes in a flipped classroom.

, , and . Comput. Educ., (2023)

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Exploring Learning Strategies by Sequence Clustering and Analysing their Correlation with Student's Engagement and Learning Outcome., , , and . ICALT, page 360-362. IEEE, (2021)The Feasibility of Utilizing ChatGPT in Learning Analytics for the Identification of At-Risk Students., , and . LAK Workshops, volume 3667 of CEUR Workshop Proceedings, page 56-63. CEUR-WS.org, (2024)Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review., , and . Smart Learn. Environ., 10 (1): 41 (December 2023)Automatic Question Generation for Repeated Testing to Improve Student Learning Outcome., , , and . ICALT, page 339-341. IEEE, (2021)Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning., , , , , and . J. Educ. Technol. Soc., 21 (2): 220-232 (2018)Effects of artificial Intelligence-Enabled personalized recommendations on learners' learning engagement, motivation, and outcomes in a flipped classroom., , and . Comput. Educ., (2023)Explore the Explanation and Consistency of Explainable AI in the LBLS Data Set., and . LAK Workshops, volume 3667 of CEUR Workshop Proceedings, page 64-72. CEUR-WS.org, (2024)Predicting Students' Academic Performance Using Multiple Linear Regression and Principal Component Analysis., , , , , and . J. Inf. Process., (2018)Predicting students' academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs., , , , and . Interact. Learn. Environ., 28 (2): 206-230 (2020)Impact of teachers' grading policy on the identification of at-risk students in learning analytics., , and . Comput. Educ., (2021)