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Charles R. Davis; Ellen Moskowitz; Michael Plotkin; Nichole Kelly – School Community Journal, 2025
Research shows that when school professionals--such as administrators, teachers, and nurses--communicate with families, students have improved academic achievement and attendance and are less likely to drop out. This article addresses how to improve the effectiveness and efficiency of school-home communication at minimal cost, especially when a…
Descriptors: Family School Relationship, Interpersonal Communication, Artificial Intelligence, Technology Uses in Education
Rana Saeed Al-Maroof; Ragad M. Tawafak; Waleed Mugahed Al-Rahmi; Khadijah Amru Alhashmi; Ibrahim Yaussef Alyoussef – Contemporary Educational Technology, 2025
Despite the spread of artificial intelligence (AI) tools and applications, the Apple Vision Pro (AVP) stands out for its innovative features compared to other types of wearable technology. Moreover, traditional glasses have been deficient in incorporating many AI innovations that could enhance user experiences and pose new challenges. In response…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Foreign Countries
Nasri, Nurfaradilla Mohamad; Nasri, Nurfarahin; Nasri, Nur Faraliyana; Talib, Mohamad Asyraf Abd – IEEE Transactions on Learning Technologies, 2023
Intelligent personal assistants (IPAs) carry massive potential in enhancing students' performance through individualized dynamic scaffolding strategy. Despite IPAs being increasingly recognized among educationists, little is known about their application in the development of students' scientific inquiry skills, particularly in physics. This study…
Descriptors: Academic Achievement, Artificial Intelligence, Handheld Devices, Inquiry
Radka Nacheva – Acta Educationis Generalis, 2025
Introduction: Over 1 billion people worldwide have disabilities, necessitating their inclusion in health systems and workplaces. Artificial intelligence (AI) is revolutionizing accessibility and digital inclusion for these individuals, improving everyday tasks and enabling autonomous mobility. AI can be applied to visually impaired, reduced…
Descriptors: Students with Disabilities, Artificial Intelligence, Access to Computers, Educational Technology
Amjad Islam Amjad; Sarfraz Aslam; Umaira Tabassum – European Journal of Education, 2024
Mobile learning (M-learning), ChatGPT and social media are integral to university education, improving accessibility, personalization and interactive engagement in the learning process. This paper aimed to investigate the role of M-learning, ChatGPT and social media in university students' academic performance. It was a cross-sectional…
Descriptors: Telecommunications, Handheld Devices, Electronic Learning, Social Media
Zixi Li; Chen Feng – International Journal of Designs for Learning, 2024
This design case focused on the design of an intervention set aimed at capturing and sharing tacit knowledge in the workplace. The design case demonstrated the design process of expanding a single chatbot intervention into a comprehensive hybrid intervention set to cooperate with learners of different technology competencies and learning needs.…
Descriptors: Knowledge Level, Technological Literacy, Intervention, Knowledge Management
Desy K. Sari; Supahar Supahar; Dadan Rosana; Pri A. C. Dinata; Muhammad Istiqlal – Journal of Pedagogical Research, 2025
As artificial intelligence [AI] increasingly permeates various sectors--including education, economics, healthcare, and government--a comprehensive understanding of this technology becomes essential. This analysis aims to identify four dimensions of AI literacy--awareness, usage, evaluation, and ethics--among Indonesian higher education students…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Foreign Countries
Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
Nour Eddine El Fezazi; Smaili El Miloud; Ilham Oumaira; Mohamed Daoudi – Educational Process: International Journal, 2025
Background/purpose: Mobile learning (M-learning) has become a crucial component of higher education due to the increasing demand for flexible and adaptive learning environments. However, ensuring personalized and effective M-learning experiences remains a challenge. This study aims to enhance M-learning effectiveness by introducing an AI-driven…
Descriptors: Electronic Learning, Learning Management Systems, Instructional Effectiveness, Artificial Intelligence
Haruo Kodama; Motofumi T. Suzuki; Yoshitomo Yaginuma – Asian Association of Open Universities Journal, 2024
Purpose: The purpose of this paper is to propose the need for an integrated system for the production, authoring, addition and revision of webcast content and a multi-device apps mechanism with rights management for Internet transmission in the perspective of the OUJ course reuse. Design/methodology/approach: This paper designs systems that reuse…
Descriptors: Open Universities, Computer Oriented Programs, Multimedia Materials, Video Technology
Yeo, Marie Alina – TESOL Journal, 2023
What does it mean to write, learn to write, and teach writing in an age when students can use the latest artificial intelligence (AI) co-authoring tools to produce entire essays without even adding an original idea or composing a single sentence? This article addresses questions of authorship and academic integrity concerning the use of AI writing…
Descriptors: Integrity, Ethics, Artificial Intelligence, Writing (Composition)
Nicolas Loiseau; Adrien Bruni; Pierre Puigpinos; Jean-Christophe Sakdavong – International Association for Development of the Information Society, 2024
This paper explores the concept of self-efficacy and its impact on individual performance on a mobile learning application. Self-efficacy refers to one's belief in their ability to achieve their goals and is a key factor in everyday life. To investigate the relationship between self-efficacy and performance, we conducted an experiment with 104…
Descriptors: Self Efficacy, Telecommunications, Handheld Devices, Computer Software
Brenna Griffen; Elizabeth R. Lorah; Nicolette Caldwell; Donald A. Hantula; John Nosek; Matt Tincani; Shea Lemley – Journal of Developmental and Physical Disabilities, 2024
Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual and developmental disabilities (IDD), such as autism spectrum disorder, evidence-based strategies, such as prompting and task analysis, may be effective in teaching these skills. Due to the shortage of experts who teach individuals with IDD skills…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Health Behavior, Hygiene
Yuyu Chen; Yuntao Zou – European Journal of Education, 2024
This research paper focuses on the adoption of multi-perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM…
Descriptors: Teacher Attitudes, Educational Quality, Intention, Artificial Intelligence
Tsung-Ying Chen – Journal of Psycholinguistic Research, 2024
Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is…
Descriptors: Artificial Intelligence, Grammar, Computer Software, Handheld Devices

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