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Direct linkAlexander John Karran; Patrick Charland; Joé Trempe-Martineau; Ana Ortiz de Guinea Lopez de Arana; Anne-Marie Lesage; Sylvain Sénécal; Pierre-Majorique Léger – npj Science of Learning, 2025
Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the acceptability of different AI applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI, it addresses…
Descriptors: Stakeholders, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Minseong Kim; Jihye Kim; Tami L. Knotts; Nancy D. Albers – Education and Information Technologies, 2025
Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Factor Analysis
Download full textDavid Maddock; Daniel Eadens; Leah Torres – International Journal of Educational Leadership Preparation, 2025
The School District of Osceola County (SDOC) utilized eduCLIMBER, a platform which purports to be "an interactive system that integrates whole child data into a single platform with built-in tools for intervention tracking, collaborative workflows, effective reporting, and more" to allow teachers to have the same amount of data…
Descriptors: Educational Technology, Technology Uses in Education, Information Management, Program Effectiveness
Wanli Xing; Yukyeong Song; Chenglu Li; Zifeng Liu; Wangda Zhu; Hyunju Oh – British Journal of Educational Technology, 2025
This paper reports on a design-based research (DBR) study that aims to devise an artificial intelligence (AI)-powered teachable agent that supports secondary school students' learning-by-teaching practices of mathematics learning content. A long-standing pedagogical practice of learning-by-teaching is powered by a recent advancement of generative…
Descriptors: Artificial Intelligence, Mathematics Instruction, Technology Uses in Education, Middle School Students
Susana H. Hernández; Z. W. Taylor; Guillermo Ortega – Community College Review, 2025
Objective/Research Questions: Extending Garcia's notion of "servingness," our study explored the prevalence and usability of artificially intelligent (AI) chatbots within all 234 HSI community colleges according to the most recent HACU list. The research questions for our study are: (a) Do HSI community colleges embed artificial…
Descriptors: Hispanic American Students, Minority Serving Institutions, Artificial Intelligence, Technology Uses in Education
Laila Ayaichi; Aziz Amaaz; Abderrahman Mouradi – Journal of Baltic Science Education, 2025
Augmented Reality (AR) is an emerging technology with strong potential to enhance the educational value of physics lab work. However, its integration in higher education remains inconsistent, often hindered by students' limited prior experience and varying levels of acceptance. This study investigates the factors influencing students' intention to…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Physics
Hae Sun Jung; Haein Lee; Keon Chul Park – SAGE Open, 2025
This study investigates user experience (UX) priorities in early childhood education applications by analyzing Korean-language user reviews using Bidirectional Encoder Representations from Transformers topic modeling (BERTopic). Eighteen latent topics were extracted and systematically mapped to the eight software quality characteristics defined by…
Descriptors: Early Childhood Education, Computer Uses in Education, Computer Software, Usability
Alanur Ahsen Dalyanci; Lobke Mast; Kristina Krushinskaia; Annelies Raes – OTESSA Journal, 2025
The adoption of Generative Artificial Intelligence (GenAI) has gained popularity since late 2022, sparking discussions about its role in education. An important issue is understanding teachers' perceptions of this technology, given that teachers are seen as key actors in integrating GenAI into teaching and learning processes. This qualitative…
Descriptors: Artificial Intelligence, Technology Integration, Teacher Attitudes, Technology Uses in Education
Thiemo Wambsganss; Ivo Benke; Alexander Maedche; Kenneth Koedinger; Tanja Käser – International Journal of Artificial Intelligence in Education, 2025
Conversational tutoring systems (CTSs) offer a promising avenue for individualized learning support, especially in domains like persuasive writing. Although these systems have the potential to enhance the learning process, the specific role of learner control and inter- activity within them remains underexplored. This paper introduces…
Descriptors: Learner Controlled Instruction, Interaction, Intelligent Tutoring Systems, Persuasive Discourse
Unyaparn Sinlapaninman; Wannatida Yonwilad – Educational Process: International Journal, 2025
Background/purpose: This study addresses challenges in graduate research supervision by developing and evaluating an AI chatbot research coaching system designed through Design Thinking and Educational Design Research. The research aimed to examine system usability, perceived value, and alignment between user experiences and original design…
Descriptors: Foreign Countries, Graduate Study, Artificial Intelligence, Coaching (Performance)
Yasin Yalçin; Eda Bakir-Yalçin; Hakan Islamoglu; Ömer Faruk Ursavas – Australasian Journal of Educational Technology, 2025
Emotions play a significant role in shaping technology adoption decisions, influencing not only perceptions but also behavioural intentions. In this study, we investigated the structural relationships among online learning self-efficacy, positive and negative emotions, perceived ease of use, perceived usefulness and behavioural intention in the…
Descriptors: Preservice Teachers, Emotional Response, Student Attitudes, Learning Management Systems
Sarah J. Wallace; Zheng Yen Ng; Bridget Burton; Megan Isaacs; Ryan Deslandes; Gopal Sinh; Kim Barron; Phill Jamieson; Kirstine A. Shrubsole; David A. Copland; Janet Wiles; Victoria J. Palmer; Pippa Evans; Kyla Hudson; Anthony J. Angwin; Annie J. Hill; Barbra H. B. Timmer; Matthew J. Gullo; Jessica H. Campbell; Peter Worthy – International Journal of Language & Communication Disorders, 2025
Background: Speech and language therapy for post-stroke aphasia (language/communication impairment) improves language and communication in the short-term; however, access to therapy is limited, and effects are not always maintained. Mobile Health (mHealth) applications may support long-term therapy access and maintenance of gains. We present a…
Descriptors: Neurological Impairments, Aphasia, Rehabilitation, Speech Therapy
Köse, Erman; Taslibeyaz, Elif; Karaman, Selçuk – Technology, Knowledge and Learning, 2021
Even though instructional videos are often used in many areas covering a wide range of studies and applications, the lack of a common approach for the definition and classification of instructional videos results in the use of several different models for these purposes. In order to develop such a common approach, there remains the need to build a…
Descriptors: Video Technology, Instructional Films, Classification, Definitions
Edyburn, Dave L. – Intervention in School and Clinic, 2021
This is the third and final column of a special series on the topic of universal design for learning. Interested readers are encouraged to review the previous two articles: Enhancing Executive Function While Addressing Learner Variability in Inclusive Classrooms (Volume 56, Issue 3) (EJ1280159) and Classroom Menus for Supporting the Academic…
Descriptors: Access to Education, Usability, Educational Technology, Web Based Instruction
Silva, Warley Almeida; Carchedi, Luiz Carlos; Junior, Jorão Gomes; Victor de Souza, João; Barrere, Eduardo; Francisco de Souza, Jairo – International Journal of Distance Education Technologies, 2021
Learning assessments are important to monitor the progress of students throughout the teaching process. In the digital era, many local and large-scale learning assessments are conducted through technological tools. In this view, a large-scale learning assessment can be designed to tackle one or multiple parts of the teaching process. Oral reading…
Descriptors: Oral Reading, Reading Fluency, Reading Tests, Automation
