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Hsu, Ting-Chia; Huang, Hsiu-Ling; Hwang, Gwo-Jen; Chen, Mu-Sheng – Educational Technology & Society, 2023
In traditional instruction, teachers generally deliver the content of textbooks to students via lectures, making teaching activities lack vibrancy. Moreover, in such a one-to-many teaching mode, the teacher is usually unable to check on individual students' learning status or to provide immediate feedback to resolve their learning problems.…
Descriptors: High School Students, Expertise, Decision Making, Artificial Intelligence
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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Kaphesi, Elias – African Journal of Research in Mathematics, Science and Technology Education, 2014
This paper reports on the metaphors that 36 third-year university mathematics education students have about mathematics. These metaphors were investigated through a questionnaire with five open-ended items. An inductive analysis of the students' metaphors for mathematics indicated that students had well developed and complex metaphors about…
Descriptors: Undergraduate Students, Mathematics Education, Student Attitudes, Figurative Language
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Bergquist, William H.; Klemm, Horst D. – Journal of General Psychology, 1973
One hundred and two subjects were given three verbal concept acquisition tasks. Repression, High defensiveness, and low psychoastenia were found to be significantly associated with high acquisition scores. (Author/KM)
Descriptors: Anxiety, Concept Formation, Learning Processes, Personality
Turner, Philip M. – Educational Communication and Technology: A Journal of Theory, Research, and Development, 1983
Presents results of research into the relationship between two anxiety measures and performance on a visual concept acquisition task for university undergraduates. Analysis of variance indicates a significant interaction between cueing treatment and scores on the State-Trait Anxiety Inventory. Further research using different populations and…
Descriptors: Affective Measures, Analysis of Variance, Anxiety, Arousal Patterns