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Gerard Dummer; Elwin Savelsbergh; Paul Drijvers – Informatics in Education, 2025
Programmed control systems are ubiquitous in the present-day world. In current educational practice, however, these systems are hardly being addressed, and little is known about children's spontaneous understandings about such systems. Therefore, we explored pupils' understandings prior to instruction in three concrete settings: a car park, an…
Descriptors: Elementary School Students, Grade 3, Grade 6, Computer Science Education
Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
Manuel B. Garcia – Education and Information Technologies, 2025
The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review…
Descriptors: Computer Science Education, Teaching Methods, Programming, Computer Uses in Education
Anitia Lubbe; Elma Marais; Donnavan Kruger – Education and Information Technologies, 2025
Amalgamating generative artificial intelligence (Gen AI), Bloom's taxonomy and critical thinking present a promising avenue to revolutionize assessment pedagogy and foster higher-order cognitive skills needed for learning autonomy in the domain of self-directed learning. Gen AI, a subset of artificial intelligence (AI), has emerged as a…
Descriptors: Critical Thinking, Computer Software, Learning Analytics, Intelligent Tutoring Systems
Jingjing Ma; Qingtang Liu; Shufan Yu; Xiaojuan Li; Jindian Liu – Educational Technology Research and Development, 2025
In science education, the abstraction and complexity of scientific concepts are usually stumbling blocks that prevent students from learning science. Recently, augmented reality (AR) has offered transformative potential to support scientific concept learning by visualizing scientific phenomena and enhancing students' experiences. However, the lack…
Descriptors: Scientific Concepts, Concept Mapping, Cognitive Structures, Cognitive Processes
Te Hu; Zongmin Fu; Niya Wang; Jinbin Gui; Qinghe Song; Xiaofan Qian – Education and Information Technologies, 2025
Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…
Descriptors: Student Projects, Active Learning, Models, Computer Uses in Education
M. V. Jongsma; M. Meeter; J. E. van Muijlwijk-Koezen; D. J. Scholten – Education and Information Technologies, 2025
With the emergence of new technologies, various methods for providing online peer feedback have become available. While the effects of online peer feedback on student perceptions and learning are often compared to those of offline peer feedback, there is a lack of research comparing different online feedback environments. This study focuses on how…
Descriptors: Educational Technology, Computer Mediated Communication, Feedback (Response), Peer Evaluation
Nur Faizin; Muhammad Alfan; Abdul Basid; Mochammad Rizal Ramadhan; Siti Aisyah Panatik; Akhmad Nurul Kawakip – Discover Education, 2025
The emergence of artificial intelligence (AI) in education and religion in today's world has presented various challenges, such as plagiarisms, the credibility of AI and, its acceptance by students. This study uses an extended Technology Acceptance Model (TAM) framework to analyse Muslim students' perceptions towards the use of artificial…
Descriptors: Foreign Countries, Muslims, College Students, Student Attitudes
Sam Harding; Lydia Morgan; Sarah Rudd; Yvonne Wren – Infant and Child Development, 2025
This scoping review aimed to identify and evaluate apps designed to screen or monitor speech, language, and communication (SLC) development in young children. Early identification and intervention are crucial for children with SLC difficulties, but traditional assessments can be time-consuming and lack ecological validity. Technological…
Descriptors: Computer Software, Computer Oriented Programs, Speech Communication, Language Skills
Mhamed Ben Ouahi; Mohamed Droui; Elyazid Hida; Taoufik Hassouni; El Mehdi AL Ibrahmi – Knowledge Management & E-Learning, 2025
Science education, particularly physics, remains a priority for many countries, as their future economic prosperity is closely linked to student success in science and technology. Given the persistent challenges faced by teachers in stimulating students' interest in this discipline, the integration of innovative teaching methods has become…
Descriptors: Science Education, Physics, Student Attitudes, Middle School Students
Xuemei Ni; Kanyarat Sonsupap – Higher Education Studies, 2025
This study investigates the effectiveness of Virtual Simulation Systems (VSS) in improving cardiopulmonary resuscitation (CPR) training outcomes for vocational nursing students through a cluster randomized controlled trial. A total of 100 second-year nursing students from Sichuan Health Rehabilitation Vocational College were divided into an…
Descriptors: Nursing Students, Computer Simulation, First Aid, Nursing Education
Mohammad A. Beirat; Ahmad Algolaylat; Hussein Al Njadat; Bassam AlAbdallat; Alaa K. Al-Makhzoomy – Educational Process: International Journal, 2025
Background/purpose: This paper systematically reviews current advancements in AI-based diagnostic tools and assistive technologies, analyzing their influence on the early detection, treatment, and educational support of autism spectrum disorders (ASDs). The review aims to identify both the benefits and challenges of incorporating these…
Descriptors: Artificial Intelligence, Assistive Technology, Autism Spectrum Disorders, Clinical Diagnosis
Wei Sun; Yousun Shin – SAGE Open, 2025
This quasi-experimental study compared the effects of Computer-assisted Hybrid Dynamic Assessment (HDA) and Interventionist Dynamic Assessment (IDA) on the development of organizational writing skills in L2, aiming to improve both assessment and instruction within Chinese EFL context. A total of 85 first-year university students in China…
Descriptors: Computer Assisted Testing, Writing Skills, Second Language Learning, English (Second Language)
Agus Pahrudin; Irwandani; Muhammad Aridan; Muhammad Farhan Barata – Journal of Teaching and Learning, 2025
The integration of deep learning in education has the potential to enhance pedagogical practices, personalized learning, and adaptive instruction. However, Islamic schools face unique challenges in adopting AI-driven educational models due to technological limitations, digital literacy disparities, and regulatory constraints. This study assesses…
Descriptors: Religious Schools, Islam, Foreign Countries, Elementary School Teachers
Ghulam Abbas; Naureen Nazar; Zhirun Huang; Zhanhao Jiang – Asia-Pacific Education Researcher, 2025
This study compares the grammatical errors (GEs) made by non-English major undergraduate students from China and Pakistan, aiming to identify common and distinct types of error and to explore potential reasons behind them. By focusing on these two linguistically and culturally distinct groups, this research seeks to enhance understanding of…
Descriptors: Foreign Countries, Computer Assisted Instruction, Error Patterns, Error Analysis (Language)

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