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Stefanie Beninger; Alex Reppel; Julie Stanton; Forrest Watson – Journal of Marketing Education, 2025
The emergence of generative AI (GenAI) has illustrated that higher education needs to adapt to the technology. Its speed of evolution requires that we adequately prepare students for an ever-changing landscape. Toward achieving that aim, we draw on the concept of interpretive flexibility, where the interpretations, uses, and outcomes of a new…
Descriptors: Business Education, Marketing, Artificial Intelligence, Computer Software
Chou, Sheng-Fang; Horng, Jeou-Shyan; Liu, Chih-Hsing; Lin, Jun-You; Chen, Lu – Education and Information Technologies, 2023
Technology drives innovation and reform in hospitality education, and Facebook has become a popular educational tool to facilitate students' classroom interactions. Understanding hospitality students' attitudes toward Facebook teaching interventions is important. Based on a survey of 289 undergraduate hospitality students, first, we expand the…
Descriptors: Undergraduate Students, Social Media, Teaching Methods, Student Attitudes
Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
Weber, Felix – International Association for Development of the Information Society, 2022
Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…
Descriptors: Goal Orientation, Computer Software, Artificial Intelligence, Universities
Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Zhaofeng Zeng; Siew Wei Tho; Zhengfang Gao; Nur Hamiza Adenan; Sue Ting Ng – International Journal of Education in Mathematics, Science and Technology, 2024
This study aims to review the STEM education intervention on the undergraduate level by applying CiteSpace software, an innovative tool for bibliometric analysis and visualization. The Web of Science (WOS) database was used and covers the period from January 2008 to August 2023. Based on keyword search, seven clusters with the largest research…
Descriptors: STEM Education, Undergraduate Students, Databases, Information Retrieval
Winters-Stone, Kerri M.; Medysky, Mary E.; Stoyles, Sydnee; Bumgarner, Lauren; Witzke, Kara – Journal of American College Health, 2022
Objective: Over one-third of college students are overweight or obese and rates are rising. Whole body vibration (WBV) training could prevent weight gain but has not been tested in college students. Methods: Randomized controlled trial comparing thrice weekly WBV for 6 months to controls (CON) in undergraduate students. Feasibility included…
Descriptors: Body Weight, Obesity, Body Composition, Safety
Francheska M. Garcia – ProQuest LLC, 2024
Healthcare professionals and individuals underutilize substance use screenings, driving exploration of innovative approaches like virtual agent-guided screening. This study assessed the virtual counselor app's equivalence to in-person evaluation for substance use screening. Participants also completed a user experience questionnaire and a…
Descriptors: Intervention, Screening Tests, Substance Abuse, Health Services
Suparatulatorn, Raweerote; Jun-on, Nipa; Hong, Ye-Yoon; Intaros, Pimpaka; Suwannaut, Sarawut – Journal on Mathematics Education, 2023
In Thai mathematics classrooms, there is a lack of attention to support students' mathematical problem-solving skills by working from real-world contexts that make sense to students. This study aimed to investigate how preservice mathematics teachers' problem-solving can be explored in their content course, intervening with technology and…
Descriptors: Problem Solving, Calculus, Mathematics Instruction, State Universities
Ferdi Çelik; Ceylan Yangin Ersanli; Goshnag Arslanbay – International Review of Research in Open and Distributed Learning, 2024
This experimental study investigates the impact of ChatGPT-simplified authentic texts on university students' reading comprehension, inferencing, and reading anxiety levels. A within-subjects design was employed, and 105 undergraduate English as a foreign language (EFL) students engaged in both original and ChatGPT-simplified text readings,…
Descriptors: Foreign Countries, Reading Comprehension, Artificial Intelligence, English (Second Language)
Wakhata, Robert; Balimuttajjo, Sudi; Mutarutinya, Védaste – Mathematics Teaching Research Journal, 2023
This is an exploratory study considering instructional methods in mathematics education. The study examined misconceptions arising from selected assignments undertaken by sixty-five students. The students were attending a calculus mathematical course unit on limits of functions, in different academic areas offered at selected tertiary institutions…
Descriptors: Teaching Methods, Mathematics Instruction, Misconceptions, Calculus
Furtado, Julio; Oliveira, Sandro Ronaldo Bezerra; Chaves, Rafael Oliveira – International Journal of Information and Communication Technology Education, 2021
In organizations that are seeking a high degree of maturity, it is necessary to achieve a statistical control of software processes and to know their behavior and operational performance. The approach adopted for the research involves reading articles and experience performance reports, practical cases, discussion, the use of games and simulators,…
Descriptors: Undergraduate Students, Computer Science Education, Teaching Methods, Computer Software
Patience Atukunda; Simon Peter Khabusi; John Othieno – Discover Education, 2024
This study investigates user satisfaction with e-learning systems in higher education institutions, examining the perspectives of students, lecturers, and elearning officers and heads of the department of Information Technology as key informants. A total of 375 student respondents from Diploma, Bachelor, and Masters levels, 51 lecturers, and 15…
Descriptors: Electronic Learning, Access to Education, Usability, Internet
Lockwood, Elise – Cognition and Instruction, 2022
In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…
Descriptors: Undergraduate Students, Thinking Skills, Prediction, Teaching Methods
Chalermsup Karanjakwut; Kamonwan Charunsri – Malaysian Online Journal of Educational Technology, 2025
This study investigated the impact of AI-driven brainstorming tools on process writing instruction and students' writing outcomes in the context of third-year Thai university students. A mixed-methods approach was employed to examine the effectiveness of AI-driven brainstorming tools, foreign English lecturers' preferences and comments towards…
Descriptors: Writing Instruction, Teaching Methods, Writing Processes, Process Approach (Writing)