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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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Glass, Arnold L.; Kang, Mengxue – Educational Psychology, 2022
Performance on homework questions was compared with performance on related exam questions querying the same fact or principle, was used to assess the effect of answering online homework questions on subsequent exam performance. A distinctive pattern of performance was found for some students in which superior performance on online homework…
Descriptors: Homework, Academic Achievement, Tests, College Students
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Timothy S. Faith – Teaching and Learning Excellence through Scholarship, 2023
Student success in college courses is important to students and faculty, though what variables predict student success are myriad and can be difficult to collect by faculty. Given the complex interaction of these variables, many of which are external to the classroom, a faculty member could be excused for thinking that the work of the faculty may…
Descriptors: College Students, College Faculty, Business Education, Teaching Methods
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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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Engelsrud, Gunn; Rugseth, Gro; Nordtug, Birgit – Sport, Education and Society, 2023
Even though qualitative research methods are considered important and have become more commonplace in research related to the sport sciences, there is little insight into the efforts made by sport science students to learn qualitative research methods. In this article, the authors use a course on qualitative methods inspired by a phenomenological…
Descriptors: Higher Education, Physical Education, Qualitative Research, Research Methodology
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Wittebols, James H. – Journalism and Mass Communication Educator, 2020
This article reports students' responses to a critical information literacy course. The course has two unique elements which differentiate it from other information and media literacy courses: an assignment about confirmation bias and a facilitating, rather than an "expert" role for faculty to play in the course. After a review of key…
Descriptors: Information Literacy, Blended Learning, Teaching Methods, College Students
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Thongkoo, Krittawaya; Panjaburee, Patcharin; Daungcharone, Kannika – Knowledge Management & E-Learning, 2019
In view of the benefits of inquiry-based learning and knowledge management (KM) in triggering students' communication and knowledge construction and the benefits of a flipped classroom in engaging student learning in- and out-of-classroom, this study proposed to integrate inquiry learning and KM into a flipped classroom to cultivate student…
Descriptors: Inquiry, Knowledge Management, College Students, Teaching Methods
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Eichelberger, Ariana; Ngo, Hong – IAFOR Journal of Education, 2020
Through a collaborative effort between an instructional design team and the Biology Department at the University of Hawai'i at Manoa, the OpenStax Biology 2e open, online textbook was modified with new features to improve student engagement and learning outcomes. This study investigated students' perceptions of the customized textbook. A survey of…
Descriptors: Open Educational Resources, Textbooks, Blended Learning, Homework
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Melvin, Adam T.; Bullard, Lisa G. – Chemical Engineering Education, 2021
Scenario-based academic integrity videos previously developed by the authors have been updated to address changes in technology and on-line resources, expand the application to more general STEM courses, and include new scenarios. Student understanding of academic integrity expectations before and after watching the video was assessed, and initial…
Descriptors: Chemical Engineering, Vignettes, Video Technology, Teaching Methods
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Umutlu, Duygu; Akpinar, Yavuz – Contemporary Educational Technology, 2020
This study investigated different modalities of videos in a flipped classroom for English writing classes in an intensive English program at a state university in Turkey. This quasi-experimental study was conducted with six experimental groups (n= 109) and one control group (n = 18). The dataset included the participants' scores of an essay…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Video Technology
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Xu, Hongying – International Journal of Computer-Assisted Language Learning and Teaching, 2019
The flipped classroom model (FC), as a new instructional approach, has been implemented by different disciplines over the past few years. However, the use of this model is still in its infancy in the field of foreign language education. The present study explored the efficacy of using the FC model in facilitating the acquisition of grammar among…
Descriptors: Grammar, Teaching Methods, Homework, Video Technology
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Shannon, Kathleen – PRIMUS, 2018
This paper describes, as an alternative to the Moore Method or a purely flipped classroom, a student-driven, textbook-supported method for teaching that allows movement through the standard course material with differing depths, but the same pace. This method, which includes a combination of board work followed by class discussion, on-demand brief…
Descriptors: Mathematics Instruction, Textbooks, Mathematics, Portfolio Assessment
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Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
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Lishchynska, Maryna; Palmer, Catherine; Cregan, Vincent – Teaching Mathematics and Its Applications, 2021
When the first national lockdown due to the COVID-19 pandemic occurred, all higher educational institutions in Ireland moved to remote learning and have effectively remained in this mode ever since. The situation presented enormous challenges for many mathematics lecturers who had not delivered lectures or tutorials online before. This study looks…
Descriptors: Foreign Countries, College Faculty, Mathematics Teachers, Educational Change
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Beatty, Brian J.; Merchant, Zahira; Albert, Michael – TechTrends: Linking Research and Practice to Improve Learning, 2019
For this study the authors explored the use of pre-recorded lecture videos by students in a large introductory management course using a flipped classroom design to determine patterns of video use and to explore the potential relationship between student use of videos (video viewing) and student learning measured by grades and student satisfaction…
Descriptors: Video Technology, Lecture Method, Homework, Student Attitudes
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