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Showing 1 to 15 of 326 results Save | Export
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Jonathan M. Golding; Anne Lippert; Jeffrey S. Neuschatz; Ilyssa Salomon; Kelly Burke – Teaching of Psychology, 2025
Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Humanities
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Rick Somers; Sam Cunningham; Sarah Dart; Sheona Thomson; Caslon Chua; Edmund Pickering – IEEE Transactions on Learning Technologies, 2024
Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g., text matching) are largely ineffective for combatting misconduct in programming and mathematics-based assessments. For these…
Descriptors: Assignments, Automation, Identification, Technology Uses in Education
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Kyle Redican; Matteo Gonzalez; Beth Zizzamia – Journal of Geography in Higher Education, 2025
ChatGPT, an AI software, has rapidly gained popularity for a wide variety of applications, including educational uses. This research explores the use of ChatGPT to supplement Geographical Information Systems (GIS) coursework creation, to help educators with little experience in GIS. Visualizing sea level rise (SLR) and quantifying the extent of…
Descriptors: Geographic Information Systems, Computer Software, Synchronous Communication, Artificial Intelligence
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Daniel Dale – New Directions for Teaching and Learning, 2025
ChatGPT and generative AI (GenAI) are disrupting students' traditional writing process. Although this development may seem novel, new technologies and writing practices have always affected the classroom, as research in composition shows. Turning to this existing scholarship, I show how composition studies provide a useful framework for thinking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Integration
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Kong Chen; April C. Tallant; Ian Selig – Information and Learning Sciences, 2025
Purpose: Current knowledge and research on students' utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students' engagement with these tools. Design/methodology/approach: This research used survey-based research to investigate generative AI literacy…
Descriptors: Artificial Intelligence, Higher Education, College Students, Technology Integration
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James W. Drisko – Journal of Teaching in Social Work, 2025
The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…
Descriptors: Plagiarism, Social Work, Counselor Training, Artificial Intelligence
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Pfuurai Chimbunde; Boitumelo Benjamin Moreeng – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite extensive research on the concerns with the use of ChatGPT that evolve around cheating, academic integrity, and plagiarism, very little is known on the assessment practices in school history, obscuring our understanding on how history teachers can assess students amid ChatGPT driven challenges. This conceptual paper discusses the…
Descriptors: History Instruction, Evaluation Methods, Student Evaluation, Artificial Intelligence
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Imre Csaszar; Jennifer R. Curry – Research Issues in Contemporary Education, 2024
Students have gravitated toward the convenience of artificial intelligence (AI) to generate text, music, and for entertainment. Faculty are also emerging as AI consumers. Given that faculty workloads have become increasingly difficult to manage, AI holds promise for assisting with teaching and research. In this article, a pedagogical case study is…
Descriptors: Artificial Intelligence, Assignments, Critical Thinking, Ethics
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Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
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Amanda J. Shaker; Christopher Brignell; Mathew Pugh – International Journal of Mathematical Education in Science and Technology, 2025
A commonly-held belief is that many university students are 'assessment-driven'; that is, students engage more with activities that are assessed compared with those that are not. 'Incentivised engagement' includes the practice of providing incentives (such as marks or otherwise) for students to engage in particular activities. Perusall is a social…
Descriptors: Undergraduate Students, Reading Assignments, Educational Technology, Technology Uses in Education
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Debika Sihi; Abigail Ryan – Marketing Education Review, 2025
The rapid adoption and evolution of generative artificial intelligence (AI) tools like ChatGPT and Gemini have impacted marketing education and practice. This paper introduces a prompt engineering assignment that utilizes generative AI to build critical thinking skills through the development of keyword research strategies, customer profiles, and…
Descriptors: Marketing, Business Education, Artificial Intelligence, Technology Uses in Education
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Radwan Ali; Dominic Thomas – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: The purpose of this paper is to illustrate the integration of emerging technology (ET) integration in the information systems (IS) curriculum. Background: Modernizing the IS curriculum is consistently needed to meet the demands of the workplace. The IS2020 curriculum model recommends adding emerging technology learning into the IS…
Descriptors: Printing, Computer Peripherals, Technology Integration, Technology Uses in Education
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Alirezabeigi, Samira; Masschelein, Jan; Decuypere, Mathias – Critical Studies in Education, 2023
Screens are becoming omnipresent surfaces inside classrooms, namely through the implementation of personal screens at schools. This implementation reconfigures spatiotemporal organization of lesson activities by introducing specific screen mediated tasks that are majorly conducted individually on screens. By adopting the notion of timescape as an…
Descriptors: Educational Technology, Technology Uses in Education, Learning Activities, Time
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Kurt Schmitz; Veda C. Storey – Journal of Teaching and Learning with Technology, 2024
Many instructional methods that focus on analytical, skill, and competency development have a single or small set of appropriate answers. Best-answer assignments are popular for largeenrollment classes because of the relative ease with which scoring and feedback can be managed at scale. However, cheating is regularly confirmed at disturbingly high…
Descriptors: Large Group Instruction, Assignments, Integrity, Student Evaluation
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Pereira, Filipe Dwan; Rodrigues, Luiz; Henklain, Marcelo Henrique Oliveira; Freitas, Hermino; Oliveira, David Fernandes; Cristea, Alexandra I.; Carvalho, Leandro; Isotani, Seiji; Benedict, Aileen; Dorodchi, Mohsen; de Oliveira, Elaine Harada Teixeira – IEEE Transactions on Learning Technologies, 2023
Programming online judges (POJs) have been increasingly used in CS1 classes, as they allow students to practice and get quick feedback. For instructors, it is a useful tool for creating assignments and exams. However, selecting problems in POJs is time consuming. First, problems are generally not organized based on topics covered in the CS1…
Descriptors: Artificial Intelligence, Man Machine Systems, Educational Technology, Technology Uses in Education
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