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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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Andrew Williams – International Journal of Research in Education and Science, 2025
The possibilities for integrating generative artificial intelligence (AI) and large language models (LLMs) into higher education may revolutionise approaches to pedagogical practices and curriculum design, while LLMs could be transformative in how students approach their learning. This conversation with ChatGPT, and associated critical evaluation,…
Descriptors: Science Education, Higher Education, Integrity, Artificial Intelligence
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Paulina Haduong; Karen Brennan – Computer Science Education, 2025
Background and Context: Learning to create self-directed and personally authentic programming projects involves encountering challenges and learning to get unstuck. Objective: This article investigates how one U.S. fourth-grade classroom engaged in practices which emphasized community supports, in the context of the classroom's implementation and…
Descriptors: Grade 4, Computer Science Education, Instructional Design, Programming
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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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Anca Greere – Interpreter and Translator Trainer, 2024
Ethical awareness is arguably becoming ever more relevant with the increasing digitalisation of professional practice. Ethical dilemmas are changing in nature, becoming more diverse and more difficult to tackle, also as technologically infused realities give rise to more blurry boundaries. Language professionals, in training for the roles of the…
Descriptors: Ethics, Translation, Teaching Methods, Computational Linguistics
Javier Muñoz-Basols, Editor; Mara Fuertes Gutiérrez, Editor; Luis Cerezo, Editor – Multilingual Matters, 2025
This volume offers a rich overview of current research and teaching strategies for the integration of technology into language teaching and learning. It introduces the Planning, Personalization and Implementation (PPI) methodological framework to support educators in engaging with the theoretical foundations and innovative practices that should…
Descriptors: Social Media, Artificial Intelligence, Second Language Instruction, Second Language Learning
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Sharp, Jason H.; Mitchell, Alanah; Lang, Guido – Journal of Information Systems Education, 2020
In this paper, we analyze and categorize research related to Agile teaching and learning in Information Systems education using an existing conceptual framework. To this end, a systematic literature review beginning with 642 papers led to the identification of 30 relevant papers written in English and published through 2018 in academic IS outlets.…
Descriptors: Teaching Methods, Information Systems, Information Science Education, Computer Software
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Jordan Allison; Abu Alam; Luke Gassmann; Gareth Nelson; Kamal Zidan – Journal of Further and Higher Education, 2024
This article presents the usage of Integrated Course Design (ICD) in the design and evaluation of applying agile methodologies within an undergraduate module of study to foster the development of computer science students employability skills. Undergraduate programs of computer science typically follow traditional educational methods which can…
Descriptors: Computer Science Education, Employment Potential, College Graduates, Integrated Curriculum
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Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
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M. Huerta-Gomez-Merodio; M. A. Fernández-Ruiz; M. V. Requena-Garcia-Cruz – European Journal of Education, 2024
Research on improving engineering skills in students advocates for high-quality teaching practices as well as the implementation of digitally enhanced management systems, such as e-Learning. Furthermore, COVID-19 led to several changes in education, such as switching drastically from face to face to emergency remote and later hybrid teaching. This…
Descriptors: Electronic Learning, Blended Learning, Engineering Education, Skill Development
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Shahrasbi, Nasser; Jin, Leigh; Zheng, Wei-Jun – Journal of Information Systems Education, 2021
The growth in the tech industry in recent years has increased business major students' interest in software programming and app development. However, the traditional way of teaching these courses involves intensive coding exercises and little interaction among students. These methods often discourage the students due to the slow learning curve and…
Descriptors: Design, Computer Oriented Programs, Computer Software, Programming
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Zhang, Limin; Chen, Fang; Wei, Wei – Journal of Information Systems Education, 2020
The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or…
Descriptors: Teaching Methods, Data Analysis, Business Administration Education, Computer Software
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Amjad Almusaed; Asaad Almssad; Ammar K. Albaaj – International Society for Technology, Education, and Science, 2024
The impact of artificial intelligence (AI) on education and lifelong learning is a topic of significant importance as AI continues to change numerous sectors. This paper aims to critically examine AI's profound effect in these domains. The present research explores the ethical dilemmas and pedagogical approaches relevant to incorporating…
Descriptors: Ethics, Lifelong Learning, Artificial Intelligence, Computer Software
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Ng, Davy Tsz Kit; Lee, Min; Tan, Roy Jun Yi; Hu, Xiao; Downie, J. Stephen; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term "AI literacy". However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Literacy Education
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Gibbs, William J. – Design and Technology Education, 2022
The ambiguous identity of the digital media field, the ubiquity of media, and rapid and persistent technological change and innovation pose inimitable challenges for academic programs in digital media. Digitization of media is an underlying impetus for today's rapid innovation that compels related academic programs in higher education to…
Descriptors: Design, Thinking Skills, Epistemology, Information Technology
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