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Direct linkGuido Lang; Tamilla Triantoro; Jason H. Sharp – Journal of Information Systems Education, 2024
This study explores the potential of large language models (LLMs), specifically GPT-4 and Gemini, in generating teaching cases for information systems courses. A unique prompt for writing three different types of teaching cases such as a descriptive case, a normative case, and a project-based case on the same IS topic (i.e., the introduction of…
Descriptors: Computational Linguistics, Computer Software, Artificial Intelligence, Readability Formulas
Anna E. Mason; Jason L. G. Braasch; Daphne Greenberg; Erica D. Kessler; Laura K. Allen; Danielle S. McNamara – Reading Psychology, 2023
This study examined the extent to which prior beliefs and reading instructions impacted elements of a reader's mental representation of multiple texts. College students' beliefs about childhood vaccinations were assessed before reading two anti-vaccine and two pro-vaccine texts. Participants in the experimental condition read for the purpose of…
Descriptors: Immunization Programs, Misconceptions, Beliefs, Accuracy
Download full textBalyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2018
While hierarchical machine learning approaches have been used to classify texts into different content areas, this approach has, to our knowledge, not been used in the automated assessment of text difficulty. This study compared the accuracy of four classification machine learning approaches (flat, one-vs-one, one-vs-all, and hierarchical) using…
Descriptors: Artificial Intelligence, Classification, Comparative Analysis, Prediction
Clinton, Virginia; Alibali, Martha W.; Nathan, Mitchell J. – Journal of Experimental Education, 2016
To learn from a text, students must make meaningful connections among related ideas in that text. This study examined the effectiveness of two methods of improving connections--elaborative interrogation and diagrams--in written lessons about posterior probability. Undergraduate students (N = 198) read a lesson in one of three questioning…
Descriptors: Probability, Instructional Effectiveness, Undergraduate Students, Questioning Techniques
Clinton, Virginia; Alibali, Martha Wagner; Nathan, Mitchel J. – Grantee Submission, 2016
To learn from a text, students must make meaningful connections among related ideas in that text. This study examined the effectiveness of two methods of improving connections--elaborative interrogation and diagrams--in written lessons about posterior probability. Undergraduate students (N = 198) read a lesson in one of three questioning…
Descriptors: Probability, Instructional Effectiveness, Undergraduate Students, Questioning Techniques
Conoyer, Sarah J.; Lembke, Erica S.; Hosp, John L.; Espin, Christine A.; Hosp, Michelle K.; Poch, Apryl L. – Reading & Writing Quarterly, 2017
The present study examined the technical adequacy of maze-selection tasks constructed in 2 different ways: typical versus novel. We selected distractors for each measure systematically based on rules related to the content of the passage and the part of speech of the correct choice. Participants included 262 middle school students who were…
Descriptors: Cloze Procedure, Multiple Choice Tests, Reading Tests, Reading Comprehension
