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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
J. Bradley Barger; Danielle N. Edwards – Anatomical Sciences Education, 2024
Skull anatomy is a difficult region for anatomy students to learn and understand but is necessary for a variety of health professional students. To improve learning, a 3D-printed human skull was developed, produced, and distributed to a course of 83 dental students for use as a take-home study tool over the 10-week anatomy course. The 70% scale…
Descriptors: Anatomy, Student Attitudes, Dental Schools, Computer Software
Sena, Mark P.; Ariyachandra, Thilini – Information Systems Education Journal, 2023
Data literacy has become a much sought after skill by organizations as the importance of data driven decision making continues to rise in importance. This study explores the teaching of Tableau as a supplement to Excel to enhance the data literacy skills of students. Twenty-eight students taking an introductory course in Business Analytics and…
Descriptors: Computer Software, Statistics Education, Spreadsheets, Usability
Mickael Antoine Joseph; Jansirani Natarajan; Omar Al Zaabi; Srinivasa Rao Sirasanagandla – Anatomical Sciences Education, 2025
Anatomy and physiology courses are foundational in nursing education but are often perceived as challenging due to heavy content load. Innovative teaching methods, including social media platforms like Instagram Reels, may enhance student engagement and learning. In this quasi-experimental pre-post-test design with a control group, we examined the…
Descriptors: Student Motivation, Anatomy, Physiology, Science Instruction
Sema Kara – International Journal of Modern Education Studies, 2025
The aim of this study is to investigate the effects of artificial intelligencesupported teaching practices on students' attitudes and course outcomes in the visual arts course at the 6th grade level of secondary school. The research was conducted in a private middle school in Mersin province, Turkey, in the second semester of the 2023-2024…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Attitude Measures
Zhao, Fangzheng; Mayer, Richard E. – Educational Technology Research and Development, 2023
How does the emotional tone (happy or sad) and gender (male or female) of the instructor's computer-generated voice in a multimedia lesson affect learning processes and outcomes for female learners (Experiment 1) and male learners (Experiment 2)? In two experiments, college students viewed a 2.5 min narrated slideshow on the formation of lightning…
Descriptors: Emotional Response, Psychological Patterns, Intonation, Gender Differences
Fernando López-Calatayud; Jesús Tejada – Research Studies in Music Education, 2024
Self-regulation strategies and behaviors are important aspects of instrumental music learning because they allow students to set learning goals by testing and controlling their cognition, motivation, behaviors, and emotions. This work investigates the self-regulation processes of four young instrumentalists (aged 10-11 years) in their initial…
Descriptors: Metacognition, Music Education, Learning Motivation, Musical Instruments
Mustafa Koc; Rabia Pala – International Society for Technology, Education, and Science, 2024
Smartphones working like a computer are much more than just classic mobile or cell phones used to communicate as they offer all the possibilities of computer and internet technology in our palms. By means of features they have and new applications developed every day, smartphones are used for a wide variety of purposes including but not limited to…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Addictive Behavior
Ulzhamal Konakbayeva; Perizat Baltasheva; Bakyt Kuanysheva; Indira Dauletova; Galiya Kydyrbayeva; Tatyana Karataeva – Educational Process: International Journal, 2025
Background/purpose: The marginalization of art education globally has prompted concerns about the instructional competence of art teachers. This study probed the potential of microteaching lesson study as a remedy, with a novel integration of generative artificial intelligence. Materials/methods: This was a pre-test/post-test controlled study with…
Descriptors: Artificial Intelligence, Microteaching, Teacher Effectiveness, Self Efficacy
Jun-Ming Su – Education and Information Technologies, 2024
With the rapid growth of web applications, web application security (WAS) has become an important cybersecurity issue. For effective WAS protection, it is necessary to cultivate and train personnel, especially beginners, to develop correct concepts and practical hands-on abilities through cybersecurity education. At present, many methods offer…
Descriptors: Computer Science Education, Information Security, Computer Security, Web Sites
Ravikantha Prabhu; Sharun Mendonca; Pavana Kumara Bellairu; Noel Deepak Shiri – Innovations in Education and Teaching International, 2025
In response to evolving engineering education, there is a growing focus on fostering students' practical skills. This study implemented a Mini Project Based Learning (MPBL) approach within the Computer Integrated Manufacturing (CIM) course. The tasks involved SOLIDWORKS modelling, writing CNC code using CADEM seeNC Turn software, and hands-on CNC…
Descriptors: Engineering Education, Student Projects, Active Learning, Computer Uses in Education
Hsin-Yi Cyndi Huang; Ming-Fen Lo; Chiung-Jung Tseng – Educational Technology & Society, 2024
This study investigated the effectiveness of applying pedagogical translanguaging by utilizing Google Translate to facilitate college juniors in writing presentation scripts. Participants included 109 non-English major juniors divided into high- and low-proficiency groups, with 56 and 53 students, respectively. Each participant first drafted their…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Mohamed Mekheimer – Discover Education, 2025
This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency