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Yimin Ning; Wenjun Zhang; Dengming Yao; Bowen Fang; Binyan Xu; Tommy Tanu Wijaya – Education and Information Technologies, 2025
The integration of AI in education highlights the significance of Teachers' AI Literacy (TAIL). Existing assessment tools, however, are hindered by incomplete indicators and a lack of practicality for large-scale application, necessitating a more systematic and credible evaluation method. This study is based on a systematic literature review and…
Descriptors: Artificial Intelligence, Rating Scales, Technological Literacy, Factor Analysis
Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
González Mendoza, Julio Alfonso; Rodríguez-Isidro, Francisco Esteban; Cañizares-Arévalo, Jorge de Jesús – Journal of Language and Linguistic Studies, 2022
When mentioning different actions that lead to the implementation of strategic planning in the use of ICT for achieving educational quality in the UFPS, it should become a concretion of the practical participation of these entities to try to achieve quality standards in education. In this sense, when it is intended to generate actions that lead to…
Descriptors: Information Technology, Educational Quality, Strategic Planning, Educational Improvement

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