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Kroeze, Karel A.; van den Berg, Stephanie M.; Veldkamp, Bernard P.; de Jong, Ton – IEEE Transactions on Learning Technologies, 2021
A tool is presented that can automatically assess the quality of students' concept maps and provide feedback based on a reference concept map. It is shown that this tool can effectively assess the quality of concept maps, and that it can provide accurate and helpful feedback on a number of specific shortcomings often evident in students' concept…
Descriptors: Feedback (Response), Concept Mapping, Student Evaluation, Teaching Methods
Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D. – IEEE Transactions on Learning Technologies, 2014
In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…
Descriptors: Artificial Intelligence, Concept Mapping, Teaching Methods, Student Evaluation
Martinez-Maldonado, Roberto; Clayphan, Andrew; Yacef, Kalina; Kay, Judy – IEEE Transactions on Learning Technologies, 2015
The teacher has very important roles in the classroom, particularly as manager of most resources for learning activities and in providing timely feedback that can enhance learning. But teachers need to be aware of students' achievements and weaknesses to decide how to time feedback. We present MTFeedback, a system that harnesses the new…
Descriptors: Small Group Instruction, Feedback (Response), Teacher Role, Teaching Methods

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