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Karis Jones; Gemma Cooper-Novack – Journal of Adolescent & Adult Literacy, 2025
Textual consumption in digital spaces has come under scrutiny by educators who worry about youth's surface-level comprehension of such texts as well as the polarizing nature of online discourse. This paper synthesizes affective concepts of critical witness and glimmers of care to explore two cases in which adolescent writers in digital OST…
Descriptors: Adolescents, Writing (Composition), Information Technology, Cartoons
Kimberley L. M. Zonneveld; Niruba Rasuratnam; Jason C. Vladescu – Journal of Applied Behavior Analysis, 2025
Motor vehicle collisions are among the leading causes of unintended injury-related deaths among children under the age of 14. The primary cause of these deaths is the improper use of child passenger safety restraints (CPSRs). Correctly installed CPSRs can decrease the risk of fatal injury by 45% to 95%. To date, no studies have used video…
Descriptors: Child Safety, Restraints (Vehicle Safety), Video Technology, Prompting
Michael Ruloff; Dominik Petko – International Journal of Leadership in Education, 2025
Digital technologies are transforming the job market and pose new challenges to education, yet there is little research that specifically examines how school principals' goals and leadership styles influence digital development in upper secondary schools. The present study explores how their ambitions and educational goals affect their approaches…
Descriptors: Secondary Schools, Principals, Goal Orientation, Leadership Styles
Xueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
Jose Berengueres – Discover Education, 2025
GPT-based models have enabled the creation of natural language chatbots that support both Inquiry-Based and Structured Learning approaches. This study offers a direct comparison of these two paradigms within a UNIX Shell scripting course by means of two chatbots: a Lesson Plan-Driven chatbot that ensures all students cover the same topics…
Descriptors: Lesson Plans, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Jieun Kim – International Journal of Listening, 2025
While previous studies have shown that L2 listeners tend to focus more on videos with additional information, like presentation slides, the amount of eye gaze did not necessarily translate to higher listening test scores . Unlike previous research focusing on the benefits of additional visual cues, this study explores how emotions impact L2…
Descriptors: Second Language Learning, Listening, Eye Movements, Adults
Gamze Kurt; Erdinç Çakiroglu – International Journal of Mathematical Education in Science and Technology, 2025
This case study investigated the development of prospective mathematics teachers' technological pedagogical content knowledge (TPACK) in graphical data displays with (VM) within the context of a microteaching lesson study (MLS). This research investigated how five participants integrated technology and implemented a lesson plan aimed to teach…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Graphs
John Mark R. Asio; Dante P. Sardina – Journal of Pedagogical Research, 2025
Artificial Intelligence (AI) is taking the educational system by storm due to its various implications and endless possibilities. Nevertheless, the teachers, the schools, and most importantly, the students have different perspectives on using AI in their learning experience, especially when gender is involved. In this study, the proponents delve…
Descriptors: Gender Differences, Artificial Intelligence, Technology Uses in Education, Anxiety
Chat or Cheat? Academic Dishonesty, Risk Perceptions, and ChatGPT Usage in Higher Education Students
Silvia Ortiz-Bonnin; Joanna Blahopoulou – Social Psychology of Education: An International Journal, 2025
Academic dishonesty remains a persistent concern for educational institutions, threatening the reputation of universities. The emergence of Artificial Intelligence (AI) tools exacerbates this challenge as they can be used for chatting but also for cheating. Several scientific papers have analyzed the advantages and risks of using AI tools like…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cheating, Risk
Jeremie Bouchard – Education and Information Technologies, 2025
ChatGPT is now widely understood in academia and the media as a 'game changer' in education. Detractors see it as fostering ethically problematic educational practices and a threat to the development of critical thinking skills, while fans see it as improving education by, in part, creating a more personalized educational experience. Meanwhile,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Practices, Ethics
JaMall Willis; Katherine Nicksic; Christina Zientek; Donggil Song – Educational Media International, 2025
The relationship between a school district's performance and the extent of its social media use, specifically, Twitter (now known as "X") has not been studied extensively. Few studies have examined how a school district's performance can reflect the types of content that is shared with its community of stakeholders when seeking social…
Descriptors: School Districts, Social Media, Educational Technology, Accountability
Marianne Miserandino – Teaching of Psychology, 2025
Introduction: Artificial intelligence (AI) presents challenges and opportunities for higher education. The challenge is to incorporate the benefits of AI while minimizing its potential for misuse and undermining of learning. The opportunity is that AI allows instructors to assess learning authentically by fostering creative, engaging, realistic,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Evaluation Methods, Undergraduate Study
Rachel N. Bonnette; Monica L. Miles – Journal of Engineering Education, 2025
Background: Engineers must learn to document their process to communicate effectively in teams--a skill that calls for knowing "how" and "when" to capture information, as well as the self-regulation to continually engage in this practice. Motivation to self-regulate requires that students be motivated to complete a goal and see…
Descriptors: High School Students, Student Motivation, Engineering, Documentation
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
Zulherman; Supriansyah; Desvian Bandarsyah; Mohamed Nazreen Shahul Hamid – Journal of Education and Learning (EduLearn), 2025
Online and distance learning technology with the learning management system (LMS) is an example of the application of online learning models at universities, which is the impact of technological developments. However, advances in LMS technology still need to be implemented in universities, the problem of university readiness being the main factor.…
Descriptors: Learning Management Systems, Models, Universities, Electronic Learning

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