Publication Date
| In 2026 | 1 |
| Since 2025 | 41 |
Descriptor
Source
Author
| AbdulRahman A. Alsewari | 1 |
| Abdullah Alrubaian | 1 |
| Alise Crossland | 1 |
| Aneng He | 1 |
| Anita Adnan | 1 |
| Banu Abdraimova | 1 |
| Bassam Abu-Hijleh | 1 |
| Basuki Wibawa | 1 |
| Ben Oliver D. Tutor | 1 |
| Ben Serrien | 1 |
| Boiangiu Razvan-Stefan | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 35 |
| Journal Articles | 34 |
| Information Analyses | 6 |
| Reports - Evaluative | 5 |
| Speeches/Meeting Papers | 3 |
| Books | 1 |
| Reports - Descriptive | 1 |
| Tests/Questionnaires | 1 |
Education Level
Audience
Laws, Policies, & Programs
| Elementary and Secondary… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Ying Liu – International Journal of Web-Based Learning and Teaching Technologies, 2025
"Internet plus Music Education" has the characteristics of full-scene learning ecology, data-driven model innovation, and immersion experience upgrade, and the exploration of educational metauniverse and the breakthrough of educational big model have become an important development trend, and the industrial ecology is also undergoing…
Descriptors: Music Education, Models, Sustainability, Internet
Chaleomkiat Kitsanajan; Pattarawat Jeerapattanatorn; Sutithep Siripipattanakul; Thanapat Sripan – World Journal of Education, 2025
Entrepreneurship education is increasingly emphasized in primary schools, yet many teachers are not adequately prepared to effectively cultivate students' entrepreneurial skills. This study investigated primary teachers' professional development needs for promoting entrepreneurial characteristics among students and developed a tailored learning…
Descriptors: Elementary School Teachers, Entrepreneurship, Faculty Development, Technology Integration
Elisa Martinez Marroquin; Bouchra Senadji – International Journal of Information and Learning Technology, 2025
Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education's learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and…
Descriptors: Workplace Learning, Artificial Intelligence, Educational Change, Technology Integration
Lori Lockyer; Shirley Agostinho; Sue Bennett; Lauren Knussen; Melinda Plumb – Springer, 2025
This book provides a comprehensive examination of teacher design thinking and practice, structured across ten chapters that can be read either as a complete narrative or as standalone works. The content is organized into three parts--Part 1: Foundations and frameworks (Chapters 1-3)--Establishes the theoretical groundwork for understanding…
Descriptors: Design, Cognitive Processes, Teachers, Educational Practices
Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
Nuru-Deen Mohammed – Online Submission, 2025
This article examines the application of Quality management principles to learning in the age of AI and digital transformation. The traditional model is considered to be inadequate in coping with modern challenges associated with AI deployment due to concerns of privacy, transparency, and measurement of outcomes. A conceptual model that is…
Descriptors: Total Quality Management, Artificial Intelligence, Technology Uses in Education, Ethics
Ben Oliver D. Tutor; Emerson R. Rico – Journal of Academic Ethics, 2026
The integration of technology into education, though beneficial, has also raised concerns about academic dishonesty. Digital tools and platforms provide new opportunities for students to engage in behaviors that could undermine academic integrity. Understanding why students commit these acts is crucial for designing effective policies to mitigate…
Descriptors: Technology Uses in Education, Artificial Intelligence, Natural Language Processing, Cheating
Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
Boiangiu Razvan-Stefan; Popa Laura Nicoleta; Marius Miha?an – Biochemistry and Molecular Biology Education, 2025
A strong understanding of molecular structure is key for mastering structure-function concepts in life sciences and is based on the visualization of biomolecules. Therefore, various approaches to help students translate between the 2D space of a textbook figure to the 3D space of a molecule have been developed. Object-based learning is an approach…
Descriptors: Computer Peripherals, Printing, Molecular Structure, Scientific Concepts
Maha Salem; Khaled Shaalan – Education and Information Technologies, 2025
The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…
Descriptors: Electronic Learning, Prediction, Models, Educational Technology
Abdullah Alrubaian – Education and Information Technologies, 2025
As artificial intelligence becomes more widespread, tools such as GPT-3.5, GPT-4, and Google Gemini are also increasingly used as additional resources to help parents understand dyslexia. However, the validity and precision of these instruments have not been studied well. This cross-sectional study assessed ChatGPT-3.5, ChatGPT-4, and Gemini on…
Descriptors: Artificial Intelligence, Accuracy, Models, Dyslexia
Tippawan Meepung – International Education Studies, 2025
This research focuses on developing innovator skills in a group of innovators in the higher education level in the field of business administration, emphasizing the use of creative learning processes to promote innovator skills. The purpose of this research is to 1) Studying the characteristics of higher education innovators. 2) Develop a…
Descriptors: Skill Development, Artificial Intelligence, Technology Integration, Innovation
Sabine Seufert; Niklas Eulitz – International Association for Development of the Information Society, 2025
The widespread adoption of generative AI is transforming academic writing in higher education, rendering traditional, product-focused assessment models obsolete. These methods fail to capture the iterative and tool-mediated nature of modern writing processes, creating an urgent need for new evaluation approaches. This paper addresses this gap by…
Descriptors: Artificial Intelligence, Academic Language, Writing Processes, Models
Yosua Damas Sadewo; Basuki Wibawa; Ivan Hanafi; Pebria Dheni Purnasari; Totok Victor Didik Saputro – Journal of Education and Learning (EduLearn), 2025
The selection process of a coaching model should be an initial consideration before conducting training activities. However, the limited availability of coaching models hinders the delivery of quality training programs. Therefore, it is necessary to have options for coaching models. This research aims to develop a goal, actual, alternative, plan,…
Descriptors: Coaching (Performance), Blended Learning, Models, Faculty Development
Qiong Mei; Nee Nee Chan; Ranjit Singh Gill; Neevaarthana Subramaniam; Saeid Motevalli; Chin-Siang Ang – Discover Education, 2025
Improving teaching effectiveness is a key goal in higher education. The ARCS motivational model (Attention, Relevance, Confidence, Satisfaction) has become widely adopted in educational environments. This systematic review examines 24 studies from 2015 to 2024, sourced from ProQuest, Web of Science, and Scopus, selected from an initial pool of 948…
Descriptors: Attendance, Relevance (Education), Self Esteem, Satisfaction

Peer reviewed
Direct link
