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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
Michael C. Melville; Chad Hershock; B. Reeja-Jayan – Advances in Engineering Education, 2024
Due to limited laboratory facilities and other constraints, many engineering students may not have the opportunity to engage with practical, hands-on learning experiences. Although some research suggests that game-based learning can provide students with these pedagogical benefits, much of that work does not directly assess the impact of such…
Descriptors: Video Games, Engineering Education, Visualization, Game Based Learning
Alyssa R. Gonzalez-DeHass; Patricia P. Willems – Middle School Journal, 2024
Successful middle schools exhibit effective practices that engage families as valued partners. However, as at-home learning increasingly shifts to digital spaces, parents may have concerns with technology and how their role shifts in digital learning environments. This includes concerns about the balancing act for parents wishing to encourage…
Descriptors: Middle School Students, Homework, Educational Technology, Technology Uses in Education
Omar Albaloul; Risto Marttinen; Chad Killian – Journal of Physical Education, Recreation & Dance, 2024
The recent emergence of artificial intelligence (AI) tools has significantly influenced different fields, including education. One notable example is ChatGPT, an AI-driven large language model (LLM) developed by OpenAI. This tool holds potential for supporting both teachers and students in the teaching and learning process. While some fields of…
Descriptors: Physical Education, Artificial Intelligence, Natural Language Processing, Man Machine Systems
Shuangye Chen; Yuanyuan Yan; Yansi Hou – Asia Pacific Journal of Education, 2025
The digital age has fundamentally altered the distribution of work and responsibilities in schools. Parents, as important stakeholders in schooling, are taking on more digital labour and facing changing roles. Before the COVID-19 pandemic, parents' digital labour often remained overlooked as they were not able to observe or participate in the…
Descriptors: Foreign Countries, Parent Teacher Cooperation, Parent Role, Technology Uses in Education

Ha Tien Nguyen; Conrad Borchers; Meng Xia; Vincent Aleven – Grantee Submission, 2024
Intelligent tutoring systems (ITS) can help students learn successfully, yet little work has explored the role of caregivers in shaping that success. Past interventions to support caregivers in supporting their child's homework have been largely disjunct from educational technology. The paper presents prototyping design research with nine middle…
Descriptors: Middle School Mathematics, Intelligent Tutoring Systems, Caregivers, Caregiver Attitudes
Melanie M. Cooper; Michael W. Klymkowsky – Journal of Chemical Education, 2024
The use of large language model Generative AI (GenAI) systems by students and instructors is increasing rapidly, and there is little choice but to adapt to this new situation. Many, but not all, students are using GenAI for homework and assignments, which means that we need to provide equitable access for all students to AI systems that can…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Homework
Lionel Mew; William H. Money – Information Systems Education Journal, 2024
Since it was released on November 30, 2022, ChatGPT has offered numerous opportunities for higher education professors to improve their course offerings. However, not all information provided by the application is accurate. The application has been known to yield highly inaccurate information with high confidence. Yet, with that knowledge, ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Library Research
Virginia Clinton-Lisell; Alison E. Kelly – International Journal of Technology in Education and Science, 2024
The use of online homework systems that require the purchase of an access code has become widespread. The purpose of this study is to examine student experiences with and perceptions of online homework systems with access codes. Postsecondary students (N = 966) completed a survey about the financial costs, perceptions of quality, engagement with,…
Descriptors: Homework, Educational Technology, Technology Uses in Education, Student Experience
Xiu Xin; Meng Zhang – Journal of Computer Assisted Learning, 2024
Background: Some studies have researched the correlation between flipped learning and cognitive learning outcomes; however, there is a paucity of research elaborating on the effects of flipped language learning on cognitive load (CL). Objectives: This study investigates the effects of using flipped learning designs (student-led, teacher-led and…
Descriptors: Flipped Classroom, Second Language Learning, English (Second Language), Computer Assisted Instruction