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Venkatesh S. Amin; Padmanabha C. H. – Journal on School Educational Technology, 2024
This paper explains how to prepare students to learn faster, as learning is not directly connected to classroom teaching. Learning can happen in various forms, and hence, experiential teaching connects students well. The learning could be faster and far greater than expected. This study follows a process incorporated for betterment and advancement…
Descriptors: Best Practices, Teaching Methods, Teacher Effectiveness, Educational Quality
Victor Oxman; Moshe Stupel – International Journal of Mathematical Education in Science and Technology, 2024
We present an investigation of the infinite sequences of numbers formed by calculating the pairwise averages of three given numbers. The problem has an interesting geometric interpretation related to the sequence of triangles with equal perimeters which tend to an equilateral triangle. Investigative activities of the problem are carried out in…
Descriptors: Mathematics Instruction, Geometry, Problem Solving, Preservice Teachers
Jing Shi; Na Wan; Roslina Ibrahim – International Journal of Web-Based Learning and Teaching Technologies, 2024
The application of computer technology has revolutionized and promoted the traditional mode of piano teaching. Nowadays, many companies and institutions have begun to apply computer technology to online piano teaching. This paper analyzes the difficulties faced by students in piano teaching and the development of piano assistant practice and…
Descriptors: Music Education, Musical Instruments, Teaching Methods, Algorithms
Brittney Heibel; Ryan Anderson; Marshall Swafford; Bradley Borges – Journal of Agricultural Education, 2024
Incorporating virtual reality (VR) technology into training environments has been effective as it allows training to remain safe, efficient, and meaningful. Welding training is no exception, with research highlighting benefits such as decreased welder anxiety, increased cost- and time-efficiency, reduction in material usage, and advanced levels of…
Descriptors: Computer Simulation, Computer Uses in Education, Computer Assisted Instruction, Welding
Jesús García Laborda; Teresa Magal Royo; Slavka Madarova – South African Journal of Education, 2024
The use of artificial intelligence in foreign language teaching, and particularly in teaching writing, is still under investigation for its potential positive impact and potential benefits. So far, the focus was on controversial uses, due to the challenges for the teachers. However, when used just for learning purposes, it can be a facilitating…
Descriptors: Taxonomy, Artificial Intelligence, Writing Instruction, Second Language Learning
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Khoirudin Asfani; Hsiu-Ling Chen – Education and Information Technologies, 2025
Although the Computer-Supported Collaborative Learning (CSCL) practice has a trend in its application, limited information exists in the literature on CSCL studies with Problem/Project-Based Learning in Computer Education. Therefore, this study reviewed 37 Social Science Citation Indexed (SSCI) articles on Problem/Project-Based CSCL practice in…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Research Methodology, Educational Technology
Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
Yang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
Ampicha Nawai; Sirithon Anukul; Pannipa Prommanat; Phatteera Hengmat; Naphatson Khanthamun; Pakteema Lingkum; Kesara Noila; Areeya Sasithonbamrung – Higher Education Studies, 2025
This developmental research aimed to examine the challenges in learning intravenous fluid administration and to develop and evaluate the effectiveness of a learning media in the form of an application for nursing students. The ADDIE Model framework was employed, comprising five steps: 1) Analysis, 2) Design, 3) Development, 4) Implementation, and…
Descriptors: Foreign Countries, Nursing Education, Nursing Students, Online Courses
Seuth Borliboune; Kongmengvang Chuechor; Thonglith Vilaysane; Souliya Keovilaysack – Malaysian Online Journal of Educational Sciences, 2025
This study investigates the influence of computer-based simulations on students' academic achievement and attitudes toward learning Direct Current (DC) circuits in physics. A quasi-experimental design was employed, involving 40 secondary school students divided into an experimental group (20 students) and a control group (20 students). The…
Descriptors: Computer Simulation, Physics, Electronic Equipment, Academic Achievement
Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
Gonte, Madeleine R.; George, Joshua S.; Siegel, Dana R.; Gohlke, Alyxandra M.; Trepanier, Angela M.; Hicks, Melissa A.; Putra, Manesha – American Journal of Health Education, 2023
Background: Rapid advances in prenatal genetic testing highlight the need for technology-based tools to assist in informed decision-making. Purpose: This study evaluates the feasibility, acceptability, and efficacy of a Computer-Aided Genetics Education Module (CAGEM) as an e-counseling tool and decision aid in a busy obstetric clinic among a…
Descriptors: Feasibility Studies, Computer Assisted Instruction, Genetics, Obstetrics
Tan, Jesmine S. H.; Chen, Wenli; Su, Junzhu; Su, Guo – International Journal of Computer-Supported Collaborative Learning, 2023
Peer feedback is known to have positive effects on knowledge improvement in a collaborative learning environment. Attributed to technology affordances, class-wide peer feedback could be garnered at a wider range in the networked learning environment. However, more empirical studies are needed to explore further the effects of type and depth of…
Descriptors: Peer Evaluation, Feedback (Response), Cooperative Learning, Computer Assisted Instruction
Ji, Hyangeun; Han, Insook; Ko, Yujung – Journal of Research on Technology in Education, 2023
Despite the increasing use of conversational artificial intelligence (AI) in language learning, few studies explored how to develop collaborative partnership between AIs and humans. This systematic review examines empirical evidence of human-computer collaboration from 24 studies conducted in an AI-integrated language learning environment and…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Man Machine Systems, Computer Assisted Instruction