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Yang, Tzu-Chi – Educational Technology & Society, 2023
The development of digital competence has become an important part of higher education, and digital competence assessments have attracted considerable attention and concerns. Previous studies in this area mainly focused on self-reporting and manual review methods such as questionnaires, which offer limited assessment value. To solve this issue,…
Descriptors: Artificial Intelligence, Digital Literacy, Natural Language Processing, Higher Education
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
Heather MacDonald; Veronic Bezaire – Advances in Physiology Education, 2024
Information literacy skills are an important part of research skills for undergraduate science students. This case study presents a novel approach to developing these types of research skills. By deconstructing the research process into separate steps, explicitly defining, and practicing the skills involved, students can progressively develop…
Descriptors: Research Skills, Research Training, Undergraduate Students, Physiology
B. J. Condrey – International Journal of Christianity & Education, 2024
Educators throughout the world are deeply concerned about what ChatGPT means for education. I argue that Christian educators must avoid extreme reactions and fulfill three key roles to remain focused on students' holistic formation: (1) casting a moral vision of truthfulness; (2) evaluating curricula, syllabi, and formal assessments while also…
Descriptors: Christianity, Religious Education, Moral Development, Artificial Intelligence
Saskia Kersten Ed.; Christian Ludwig Ed. – Multilingual Matters, 2024
This book is the first to focus specifically on born-digital texts in EFL teaching, uniting international and innovative scholarship with practical classroom applications. The book develops a theoretically sound framework for curriculum, materials and methods design that takes into account the growing ubiquity of born-digital texts in the digital…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
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
Yang, Jing – Journal of Advertising Education, 2023
With artificial intelligence (AI) technologies making significant evolutions over the past few years, there is a growing need for advertising students to get familiarized with the different types of AI technologies and explore and experiment with ways to adapt to such changes. This article illustrates the development and implementation of the…
Descriptors: Advertising, Professional Education, Merchandise Information, Course Descriptions
Johnson, Marina E.; Misra, Ram; Berenson, Mark – Decision Sciences Journal of Innovative Education, 2022
In the era of artificial intelligence (AI), big data (BD), and digital transformation (DT), analytics students should gain the ability to solve business problems by integrating various methods. This teaching brief illustrates how two such methods--Bayesian analysis and Markov chains--can be combined to enhance student learning using the Analytics…
Descriptors: Bayesian Statistics, Programming Languages, Artificial Intelligence, Data Analysis
Amir Reza Rahimi; Zahra Mosalli – Smart Learning Environments, 2025
Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted language learning (CALL). However, further research in this area is necessary to apply a theoretical framework with a pedagogical-oriented…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Technology Uses in Education
Bajracharya, Biju; Khan, Mohammad Shoeb – Information Systems Education Journal, 2023
The Autonomous Vehicles (AV) are a self-driving vehicle capable of sensing its environment and operating with minimal or no human intervention converting into a fully or partially automated vehicle. These automated vehicles have great potential to revolutionize the automotive industry and our daily lives. Thus, they are receiving a lot of…
Descriptors: Motor Vehicles, Interdisciplinary Approach, Computer Science Education, Artificial Intelligence
Precup, Radu-Emil; Hedrea, Elena-Lorena; Roman, Raul-Cristian; Petriu, Emil M.; Szedlak-Stinean, Alexandra-Iulia; Bojan-Dragos, Claudia-Adina – IEEE Transactions on Education, 2021
This article proposes an approach based on experiments to teach optimization technique (OT) courses in the Systems Engineering curricula at undergraduate level. Artificial intelligence techniques in terms of nature-inspired optimization algorithms and neural networks are inserted in the lecture and laboratory parts of the syllabus. The experiments…
Descriptors: Engineering Education, Teaching Methods, Systems Approach, Undergraduate Students
Qiongli Zhu; Sarfaroz Niyozov – Journal of the Scholarship of Teaching and Learning, 2024
This article presents a case study of an online course that cross-pollinated Universal Design for Learning (UDL) and dialogic teaching to facilitate deep learning. Conceptualized through the UDL framework, dialogue and dialogic teaching, and deep learning, our analysis employs the methods of design-based research and thematic analysis to unpack…
Descriptors: Online Courses, Access to Education, Artificial Intelligence, Technology Uses in Education
Mike, Koby; Hazzan, Orit – Statistics Education Research Journal, 2022
Data science is a new field of research that has attracted growing interest in recent years as it focuses on turning raw data into understanding, insight, knowledge, and value. New data science education programs, which are being launched at an increasing rate, are designed for multiple education levels and populations. Machine learning (ML) is an…
Descriptors: Teaching Methods, Nonmajors, Statistics Education, Artificial Intelligence
Keating, Jennifer – Liberal Education, 2019
As artificial intelligence (AI) continues to develop in its sophistication and integration into contemporary society, how well are educators preparing students to navigate this reality? Carnegie Mellon University (CMU) is harnessing the expertise of faculty members across campus to create innovative curricular offerings that expose students,…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Universities
Elbeck, Matt – e-Journal of Business Education and Scholarship of Teaching, 2018
This paper explores the likely influence of the rapidly evolving market disruptors of cognitive computing (to mimic the human brain) and robotics to the marketing educator. A review of the literature suggests inroads in the K-12 area, though sparse when higher education is addressed. This is followed with insights on whether students grasp the…
Descriptors: Marketing, Business Administration Education, Employment Opportunities, Artificial Intelligence
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