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Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
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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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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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Samantha Yanosko; Grant Valentine; Matthew W. Liberatore – Chemical Engineering Education, 2025
An interactive textbook for a material and energy balances course measured over 1,300 reading interactions and hundreds of auto-graded problems per student each term. Specifically, seven cohorts and 601 students completed over 700,000 reading interactions and 150,000 auto-graded problems. Median reading participation was over 93%. Median correct…
Descriptors: Chemical Engineering, Textbooks, Computer Uses in Education, Grading
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Benito Ilich Suárez-Bedolla; Francisco Cervantes-Pérez; Beatriz Feijoó-Fernández – Open Praxis, 2024
A common diagnosis in the literature is that the writing of Spanish speakers is generally a structural problem. The writing of 81 university students was analysed by classifying the teacher's comments based on 11 variables that were recorded once during a continuous evaluation that supported the assessment. The techniques used were Content…
Descriptors: Spanish Speaking, College Students, Communication (Thought Transfer), Models
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Christine Slade; Guy J. Curtis; Sheona Thomson – Higher Education Research and Development, 2024
In the past decade, extra-institutional file-sharing and homework-help websites have gone from being small-scale operations to large corporate businesses. File-sharing and homework-help websites threaten academic integrity when students use assessment work sourced from these sites as if it were their own. However, little is known about how…
Descriptors: Foreign Countries, College Students, Shared Resources and Services, Homework
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Alexis N. Prybutok; Ayinoluwa Abegunde; Kenzie Sanroman Gutierrez; Lauren Simitz; Chloe Archuleta; Jennifer Cole – Chemical Engineering Education, 2024
Engineering curriculum often fails to connect content and decisions to impacts on diverse, particularly marginalized, communities. Given that integration of social justice ideas into curriculum is currently uncommon among most faculty, we provide resources in the form of a workshop to help catalyze these efforts by teaching faculty how to…
Descriptors: Chemical Engineering, Social Justice, Racism, Workshops
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John Pace; John Hansen; John Stewart – Physical Review Physics Education Research, 2024
Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…
Descriptors: Artificial Intelligence, Identification, At Risk Students, Physics
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Jing Peng – Interactive Learning Environments, 2024
Playing musical instruments involves a high level of skill based on the harmonious and esthetic reproduction of notes. The main aim of this study is to determine the impact of MusicFlow, an interactive music composition system, on the development of students' piano skills. The article also used a survey to determine the potential of using digital…
Descriptors: Musical Instruments, Music Education, Musical Composition, Computer Software
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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
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Samta P. Pandya – High Ability Studies, 2024
This article reports a study on the impact of online spiritual lessons in improving self-regulation, emotion regulation, affect balance, peer relations, and well-being of high-ability college students of liberal arts disciplines. Compared to an online workshop on affect management, the online spiritual lessons were effective. Moderate effects were…
Descriptors: College Students, High Achievement, Academic Ability, Liberal Arts
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Yi Zheng; Fern Van Vliet; Jeong Im Jin – Educational Research and Evaluation, 2024
This case study examined the current assessment practices in the math school of a large research university in the United States. After reviewing a sample of course syllabi offered in the spring 2021 semester, we descriptively summarized the use of 19 assessment methods in the school and examined the assessment patterns by subjects, class…
Descriptors: Student Centered Learning, Student Evaluation, College Mathematics, College Students