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Nabizadeh, Amir Hossein; Goncalves, Daniel; Gama, Sandra; Jorge, Joaquim – IEEE Transactions on Learning Technologies, 2022
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…
Descriptors: College Students, Prediction, Grades (Scholastic), Game Based Learning
Biswas, Gautam; Rajendran, Ramkumar; Mohammed, Naveeduddin; Goldberg, Benjamin S.; Sottilare, Robert A.; Brawner, Keith; Hoffman, Michael – IEEE Transactions on Learning Technologies, 2020
Intelligent learning environments can be designed to support the development of learners' cognitive skills, strategies, and metacognitive processes as they work on complex decision-making and problem-solving tasks. However, the complexity of the tasks may impede the progress of novice learners. Providing adaptive feedback to learners who face…
Descriptors: Decision Making, Difficulty Level, Hierarchical Linear Modeling, Cognitive Processes