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Direct linkYufeng Qian – Journal of Educational Computing Research, 2025
The effectiveness of generative AI tools in education depends largely on prompt engineering--the practice of designing inputs and interactions that guide AI systems to produce relevant, high-quality outputs. This systematic literature review examines empirical studies published since the release of ChatGPT in late 2022, identifying two broad…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Engineering
Kaur, Berinderjeet; Sharon, Boey Huey Peng – Focus on Learning Problems in Mathematics, 1994
An algebra test administered to (n=18) first-year college students found a disregard for negative numbers, ineffective use of counterexamples, misapplication of rules, and a lack of a good grasp of relevant mathematical terminology. (12 references) (MKR)
Descriptors: Algebra, Algorithms, College Freshmen, Foreign Countries
Foong, Yoke-Yeen; Lam, Tit-Loong – 1991
The graded response model for two-stage testing was applied to an attitudes toward science scale using real-data simulation. The 48-item scale was administered to 920 students at a grade-8 equivalent in Singapore. A two-stage 16-item computerized adaptive test was developed. In two-stage testing an initial, or routing, test is followed by a…
Descriptors: Adaptive Testing, Algorithms, Attitude Measures, Computer Assisted Testing
