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Showing 1 to 15 of 119 results Save | Export
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Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition
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Rebecca J. Collie; Andrew J. Martin – Social Psychology of Education: An International Journal, 2025
Educational bodies are weighing up the extent to which generative artificial intelligence (genAI) is embedded within educational settings. Although researchers have examined how (generative) AI can be used for effective teaching and learning, less is known about how genAI was being integrated within teachers' practice shortly after the wide-scale…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
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Yingying Jiang; Lindai Xie; Guohui Lin; Fangfang Mo – Education and Information Technologies, 2024
ChatGPT has surprised academia with its remarkable abilities but also raised substantial concerns regarding academic integrity and misconduct. Despite the debate, empirical research exploring the issue is limited. The purpose of this study is to bridge this gap by analyzing Twitter data to understand how academia is perceiving ChatGPT. A total of…
Descriptors: Artificial Intelligence, Computer Software, College Faculty, Social Media
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Hani Morgan – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
ChatGPT, a type of generative artificial intelligence, recently became the fastest-growing app of all time, with over 100 million users. The increasing use of this chatbot has led educators to fear that its use will cause various problems, including cheating. However, using ChatGPT can lead to desirable outcomes. Teachers can use this technology…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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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
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Lasfeto, Deddy Barnabas; Ulfa, Saida – Journal of Educational Computing Research, 2023
This study proposes an online learning model based on fuzzy expert systems to recommend learning contents that are most appropriate for facilitating more efficient learning. The process used two computer applications which are Matlab for fuzzy analysis and the learning management system Moodle platform for online learning environment. Besides,…
Descriptors: Learning Management Systems, Online Courses, Learning Processes, Computer Software
Editorial Projects in Education, 2025
This Spotlight explores the potential of AI to enhance teaching and learning, while also addressing considerations for responsible implementation. From using AI to deliver instruction with human guidance and exploring its impact on standardized testing to providing targeted professional development on AI, these articles offer valuable…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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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
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Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Lee Cheng – Technology, Pedagogy and Education, 2024
The rapid advancement of mobile and computing technologies has made the enjoyment of music in the video gaming experience more accessible and affordable, and has raised the interest of educators in the affordances of music-related games for informal music learning. This study aimed to examine the educational affordances of music-related games…
Descriptors: Video Games, Computer Software, Music Education, Music
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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Soojeong Jeong; Justin Rague; Kaylee Litson; David F. Feldon; M. Jeannette Lawler; Kenneth Plummer – Education and Information Technologies, 2025
DBL is a novel pedagogical approach intended to improve students' conditional knowledge and problem-solving skills by exposing them to a sequence of branching learning decisions. The DBL software provided students with ample opportunities to engage in the expert decision-making processes involved in complex problem-solving and to receive…
Descriptors: Decision Making, Learning Processes, Introductory Courses, Science Education
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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Eka Ariyati; Herawati Susilo; Hadi Suwono; Fatchur Rohman – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
Learning must be able to develop knowledge, skills, and mindsets so that the graduates produced have attitudes, abilities and knowledge that are integrated and skilled in life. One way to achieve learning can be done through habits of mind because the success of learning is strongly influenced by habits of mind. The purpose of this study is to as…
Descriptors: Cognitive Processes, Science Education, Teaching Methods, Blended Learning
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Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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