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Integrating AI in Engineering Education: A Comprehensive Review and Student-Informed Module Design for U.K. Students
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Yijia Hao; Yushi Liu; Bo Liu; George Amarantidis; Rami Ghannam – IEEE Transactions on Education, 2025
Contribution: The integration of artificial intelligence (AI) in engineering higher education is becoming increasingly important nowadays. This article contributes to the Scholarship of Integration by providing a comprehensive review of current research on AI integration in engineering higher education and presenting a pilot AI introductory module…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Artificial Intelligence
Dirt Don't Hurt: How Relevant Soil Data Can Support Learning and Motivation at a Hispanic Serving Institution
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Ian Thacker; Rebecca Schroeder; Sara Shields-Menard; Nickolas Goforth – International Journal of Science and Mathematics Education, 2025
To create opportunities for meaningful applications of data science for diverse students, we developed and implemented an online learning module focused on engaging students at a Hispanic Serving Institution (HSI) in an analysis of authentic soil data. Development of the module occurred over three design iterations involving interviews with 10…
Descriptors: Hispanic American Students, Minority Serving Institutions, Data Science, Undergraduate Students
Contribution of an Instructional Module Incorporating PhET Simulations to Rwandan Students' Knowledge of Chemical Reactions, Acids, and Bases through Social Interactions
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Jean-Baptiste Ndagijimana; Jeannette Musengimana; Henriette Mushimiyimana; Evode Mukama; Olivier Habimana; Paulin Manirakiza; Jean Claude Dushimimana; Jean Pierre Alpha Munyaruhengeri; Samia Khan; Elizabeth Lakin – Chemistry Education Research and Practice, 2025
The current study ascertained the influence an instructional module had on enhancing students' understanding of chemical reactions and acid-base topics. The sample size for this study consisted of 197 students, including 101 in an "experimental" group and 96 in a "control" group, selected from schools in two Districts…
Descriptors: Foreign Countries, Secondary School Science, Secondary School Students, Chemistry
Developing an Artificial Intelligence-Based Science Instructional Module and Measuring Its Effect on Acquiring Scientific Concepts and Critical Thinking Skills among Seventh-Grade Female Students
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Waleed Nawafleh; Lina Al-Abbas – Educational Process: International Journal, 2025
Background/purpose: This study aimed to investigate the effectiveness of a computerized instructional module based on artificial intelligence in acquiring scientific concepts and developing critical thinking among seventh-grade female students. Materials/methods: To achieve the study's objectives, an AI-based computerized instructional module was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Science Instruction