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Özlem Çeziktürk – International Journal of Mathematical Education in Science and Technology, 2025
I explore some facts about the area, position, etc. of the Steiner ellipse using GeoGebra and numerical analysis. Students can use these for mathematical inquiry.
Descriptors: Computer Software, Mathematics Instruction, Elective Courses, Teacher Education Programs
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Stefanie Beninger; Alex Reppel; Julie Stanton; Forrest Watson – Journal of Marketing Education, 2025
The emergence of generative AI (GenAI) has illustrated that higher education needs to adapt to the technology. Its speed of evolution requires that we adequately prepare students for an ever-changing landscape. Toward achieving that aim, we draw on the concept of interpretive flexibility, where the interpretations, uses, and outcomes of a new…
Descriptors: Business Education, Marketing, Artificial Intelligence, Computer Software
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Wesley F. Reinhart; Reed Williams; Ryan Solnosky; R. Allen Kimel; Rebecca Napolitano – Advances in Engineering Education, 2025
Data science has become an increasingly popular topic among engineering students and practitioners as high-profile engineering applications of machine learning and artificial intelligence continue to make headlines. Companies in engineering domains are placing a growing emphasis on hiring engineers who can extract insights and create value from…
Descriptors: Engineering Education, Statistics Education, Education Work Relationship, Artificial Intelligence
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Maura N. Snyder; Alanna L. Peebles – Communication Teacher, 2025
A core component of teaching media literacy involves students analyzing and reflecting on how they use media in their daily lives. In this hands-on activity, college students play social media privacy bingo. Each square represents a different type of private information that they might choose to share on social media. The instructor calls out…
Descriptors: Social Media, Teaching Methods, Media Literacy, Student Attitudes
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Ethan C. Campbell; Katy M. Christensen; Mikelle Nuwer; Amrita Ahuja; Owen Boram; Junzhe Liu; Reese Miller; Isabelle Osuna; Stephen C. Riser – Journal of Geoscience Education, 2025
Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…
Descriptors: Earth Science, Undergraduate Students, Programming Languages, Computer Software
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Shahper Richter; Marilyn Giroux; Inna Piven; Herbert Sima; Patrick Dodd – Journal of Marketing Education, 2025
AI advancements in higher education have reshaped marketing education, posing challenges for educators in integrating AI into curricula. This integration is essential for aligning with industry advancements and fostering responsible AI utilization among students. The purpose of this study is to provide insights into how marketing educators can…
Descriptors: Constructivism (Learning), Artificial Intelligence, Computer Software, Technology Integration
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Cynthia Bansak; Julie K. Smith; Christine L. Storrie – Journal of Economic Education, 2025
The authors of this article describe three student-driven learning modules developed from their respective College Fed Challenge courses. These activities are ready-to-apply in a wide range of courses to facilitate adoption without a large time commitment. In the "Pick a Policy Maker" module, students gain an understanding of the…
Descriptors: Macroeconomics, Economics Education, Teamwork, Graphs
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Victor A. Barger; Pavan Rao Chennamaneni; Andrew J. Dahl; James W. Peltier – Marketing Education Review, 2025
The rapid rise of artificial intelligence (AI) presents both challenges and opportunities for marketing educators. This paper outlines a transformative process undertaken by our department to integrate AI across the marketing curriculum. We detail a strategic shift from initial resistance to acceptance, resulting in the successful integration of…
Descriptors: Business Education, Marketing, Artificial Intelligence, Teaching Methods
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Yi-Ping Wu; Hui-Hsien Feng; Bo-Ren Mau – Interpreter and Translator Trainer, 2025
Corpus analysis methods have been widely employed in literary translation research by numerous scholars. However, their integration into literary translation training has yet to be developed. With the advancement of AI technology, this paper explores the potential of employing AI-enhanced corpus text analysis and text mining techniques in this…
Descriptors: Translation, Computer Software, Comparative Analysis, Language Styles
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Md. Mahadhi Hasan; Anika Sikder; Rashed Mahmud – Language Teaching Research Quarterly, 2025
Some serious instances of plagiarism have been discussed in Bangladesh's institutions, where students, researchers, and even faculty members were given severe penalties. This study explores the factors influencing teachers of English at the tertiary level in Bangladesh regarding plagiarism, including emerging concerns around AI-based plagiarism. A…
Descriptors: Language Teachers, English (Second Language), Second Language Learning, Second Language Instruction