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Sonsoles Lopez-Pernas; Kamila Misiejuk; Rogers Kaliisa; Mohammed Saqr – IEEE Transactions on Learning Technologies, 2025
Despite the growing use of large language models (LLMs) in educational contexts, there is no evidence on how these can be operationalized by students to generate custom datasets suitable for teaching and learning. Moreover, in the context of network science, little is known about whether LLMs can replicate real-life network properties. This study…
Descriptors: Students, Artificial Intelligence, Man Machine Systems, Interaction
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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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Philip Ramsey; Stefano Cataloni – Innovations in Education and Teaching International, 2025
Prompted by concerns over student use of ChatGPT, staff teaching leadership and teamwork on a large university course experimented with an alternative way of assessing students' learning. Past assessment practices emphasised individual reflection and quality assurance. Aiming for a more relational approach that is aligned with the course's…
Descriptors: Student Evaluation, Alternative Assessment, College Faculty, Verbal Tests
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Lili Aunimo; Janne Kauttonen; Marko Vahtola; Salla Huttunen – Journal of Computing in Higher Education, 2025
Institutions of higher education possess large amounts of learning-related data in their student registers and learning management systems (LMS). This data can be mined to gain insights into study paths, study styles and possible bottlenecks on the study paths. In this study, we focused on creating a predictive model for study completion time…
Descriptors: Data Collection, Learning Management Systems, Study Habits, Time on Task
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Ingri Strand; Liv Merete Nielsen – International Journal of Technology and Design Education, 2025
Laypeople's participation in the planning of built environments is dependent on their spatial literacy, and it is therefore important to develop this through general education. In Norway, architectural assignments in the subject of Art and crafts are aimed at enhancing spatial literacy, but not all activities are equally educative. The use of…
Descriptors: Artificial Intelligence, Physical Environment, Spatial Ability, Secondary School Students
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Jesse Rafeiro – Educational Philosophy and Theory, 2025
This paper presents a philosophical reflection on a first-year design studio, conducted as an experimental deviation from traditional 'all too human' models of architectural education. The pedagogical approach ventures into broader ethical concerns surrounding the nonhuman and the art of building. In the studio, familiar human standpoints were…
Descriptors: Design, Educational Philosophy, Ethics, Architectural Education
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Suzanne Estaphan; David Kramer; Harry J. Witchel – Advances in Physiology Education, 2025
The rise of artificial intelligence (AI) is transforming educational practices, particularly in assessment. While AI may support the students in idea generation and summarization of source materials, it also introduces challenges related to content validity, academic integrity, and the development of critical thinking skills. Educators need…
Descriptors: Artificial Intelligence, Assignments, Student Evaluation, Computer Literacy
Frederick M. Hess; Greg Fournier – Manhattan Institute for Policy Research, 2025
American colleges and universities are being scrutinized as never before. From rising tuition costs and allegations of plagiarism at the highest levels to concerns about low rates of completion and the state of free inquiry on campus, four-year colleges in the U.S. are under the microscope. Yet one crucial issue that is too rarely accorded the…
Descriptors: College Students, Study Habits, Student Behavior, Time Management
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Kristian Edosomwan; Miriam Sanders – Journal of Urban Mathematics Education, 2025
Although teacher tracking in mathematics is a phenomenon broadly recognized by practitioners, there is a dearth of empirical research examining the effects of mathematics teacher tracking. Education reformers and experts declare a need to de-track secondary teachers to balance teaching assignments. This study examines factors relevant to teachers'…
Descriptors: Secondary School Teachers, Mathematics Teachers, Assignments, Teacher Attitudes
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Áine M. Humble – Family Science Review, 2025
This article explains why a full course on LGBTQ+ (lesbian, gay, bisexual, transgender, queer, plus) families is needed for family science curriculum instead of incorporating small amounts of LGBTQ+ family content into preexisting courses. It also describes the development of a feminist-informed online, hybrid undergraduate course focusing on…
Descriptors: LGBTQ People, Family and Consumer Sciences, Course Content, Feminism
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Althea Y. Chen; Chun-Ching Chen; Wen-Yin Chen – Innovations in Education and Teaching International, 2024
This paper aims to explore the narrative expression skill of design students through manipulating image structure. Moreover, narrative expression is the skill of interpreting design with narrative. The study is a classroom experiment conducted naturally, and the experimental data is obtained and analysed by quantitative analysis. We found…
Descriptors: Design, Teaching Methods, Familiarity, Skill Development
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Justin F. Shaffer – Chemical Engineering Education, 2024
High structure course design involves scaffolding students' learning via pre-class content acquisition and assessment, in-class active learning exercises, after-class review and assessment, and frequent summative assessments. Research has demonstrated the efficacy of high structure courses including improved student performance, reduced…
Descriptors: Program Design, Chemical Engineering, Instructional Design, Scaffolding (Teaching Technique)
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D. Joel Whalen; Charles Drehmer; Andrew Cavanaugh – Business and Professional Communication Quarterly, 2024
Artificial intelligence assignments lead this article's 11 teaching innovations selected from the "My Favorite Assignments" presented at the 2023 Association for Business Communication's (ABC's) 88th Annual International Conference held in the Mile-High City: Denver, Colorado, USA. Pedagogy presented here also includes ideas to enhance…
Descriptors: Business Communication, Business Education, Artificial Intelligence, Assignments
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Rosich, Gina R.; Lopez-Humphreys, Mayra – Journal of Teaching in Social Work, 2024
Teaching approaches are needed that can normalize students' process of exploring emotions related to their learning and support the internalization of the professional social work values (i.e. human rights and social justice). Within the literature on social work education, the importance of affective processes to support the students' learning of…
Descriptors: Affective Behavior, Learning Processes, Diversity, Social Justice
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Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
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