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Yufeng 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
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Roelle, Julian; Roelle, Detlev; Berthold, Kirsten – Journal of Experimental Education, 2019
Providing test questions after an initial study phase is a common instructional technique. In theory, questions that require higher-level (deep) processing should be more beneficial than those that require lower-level (shallow) processing. However, empirical evidence on the matter is inconsistent. To shed light on two potential reasons for these…
Descriptors: Testing Problems, Test Items, Cognitive Processes, Problem Based Learning