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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
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
Diana Franklin; Paul Denny; David A. Gonzalez-Maldonado; Minh Tran – Cambridge University Press & Assessment, 2025
Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Expertise
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
Leonid Chernovaty; Natalia Kovalchuk – Advanced Education, 2025
The objective of this article is to examine the most effective and expedient methods for identifying instances of hidden machine translation (MT) usage by student translators in their translation assignments and examinations. Additionally, the article aims to propose a system of incentives to reduce students' reliance on MT. This initiative was…
Descriptors: Computational Linguistics, Translation, Educational Technology, Technology Uses in Education
Qinjin Jia; Jialin Cui; Ruijie Xi; Chengyuan Liu; Parvez Rashid; Ruochi Li; Edward Gehringer – International Educational Data Mining Society, 2024
Feedback on student assignments plays a crucial role in steering students toward academic success. To provide feedback more promptly and efficiently, researchers are actively exploring the use of large language models (LLMs) to automatically generate feedback on student artifacts. Although the generated feedback is highly fluent, coherent, and…
Descriptors: Feedback (Response), Assignments, Artificial Intelligence, Accuracy
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
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
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
Thoriqi Firdaus; Noura Aulya Damayanti; Rika Nur Hamida; Roukhil Ummu Hani; Najwa Salma Khoirun Nisa – International Online Journal of Primary Education, 2025
Artificial Intelligence (AI) holds significant potential to transform education, particularly in teaching methodologies and task completion. This study aims to identify the factors influencing the perceptions and behaviors of elementary education students in utilizing ChatGPT and Gemini to complete science-related assignments. The research design…
Descriptors: Technology Uses in Education, Science Instruction, Assignments, Preservice Teachers
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
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
Integrity of Best-Answer Assignments in Large-Enrollment Classes: The Role of Compulsory Attribution
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
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
Mark Sena; Thilini Ariyachandra – Information Systems Education Journal, 2024
The Titanic disaster is a topic that continues to fascinate. As the importance of analytics continues to grow in industry, data literacy skills have become increasingly important in business education. This project allows students to use the passenger data from the Titanic to build their data literacy skills using an engaging, experiential topic.…
Descriptors: Literacy, Teaching Methods, Experiential Learning, Business Education

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