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Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
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Frank Niklas; Efsun Birtwistle; Anna Mues; Astrid Wirth – Child Development, 2025
The usage of high-quality learning applications (apps) at home may increase children's mathematical and literacy competencies. This approach was tested in a family intervention study. Intervention families (n = 302) in two German cohorts (N = 500; M (SD)[subscript age] = 61.0 (4.6) months; n[female gender symbol] = 302) received tablets with newly…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Tablet Computers
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Samantha R. Goldman; Adam Carreon; Sean J. Smith; Kathleen N. Zimmerman – Journal of Special Education Technology, 2024
The purpose of this descriptive review of nine research studies was to explore the types of educational technologies used with SWDs to support written expression (WE), the implementation of the educational technology for WE, and the methods and domains WE outcomes are measured. This review focused on: (1) the technologies utilized in combination…
Descriptors: Educational Technology, Technology Uses in Education, Students with Disabilities, Writing (Composition)
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Lama Bergstrand Othman – Journal of Educational Research and Practice, 2025
Research has established that the proper use of technology in the classroom can promote and improve students' skill levels and knowledge base. Also, certain factors either enhance or impede the successful integration of technology in students' learning environments. Examples of these are efficiency of use, subject area, and teacher knowledge of…
Descriptors: Technology Uses in Education, Educational Technology, Literacy Education, Teacher Role
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Fahrettin Asici; Cengiz Çinar – Journal of Educational Technology and Online Learning, 2025
This study aimed to examine the effect of using Excel in teaching fractions in a 6th grade mathematics course on students' academic achievement and attitudes. To achieve this, a quasi-experimental design with a pretest-posttest control group was implemented. The research involved 62 students from a public secondary school in a central province of…
Descriptors: Computer Software, Spreadsheets, Technology Uses in Education, Fractions
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Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
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Shunan Zhang; Xiangying Zhao; Dongyan Nan; Jang Hyun Kim – International Journal of Educational Technology in Higher Education, 2024
Prior research has explored the impact of diverse anthropomorphic interventions on the effectiveness of AI (artificial intelligence) instructors. However, the exploration of interpersonal communication skills (e.g., self-disclosure) as anthropomorphic conversational cues for AI instructors is rare. Considering the positive impact of the…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Computer Mediated Communication
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Tong Bao – Journal of Computer Assisted Learning, 2025
Background: Given the limited availability of effective tools for Korean language learning among students with autism spectrum disorder (ASD), there is a need to explore innovative educational technologies to support the development of reading skills in Korean language education for this population. Objectives: The purpose of this study is to…
Descriptors: Korean, Autism Spectrum Disorders, Scores, Reading Comprehension
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Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Savita Yadav; Pinaki Chakraborty – Education and Information Technologies, 2024
Schools operated mostly in online mode in the last two years because of the COVID-19 pandemic and many teachers are now using digital tools in physical classrooms after the reopening of schools. We conducted an experiment on how smartphones can be used to reinforce biology lessons of seventh standard students (mean age = 12.22 years) in a private…
Descriptors: Biology, Handheld Devices, Telecommunications, COVID-19
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Ferdi Çelik; Ceylan Yangin Ersanli; Goshnag Arslanbay – International Review of Research in Open and Distributed Learning, 2024
This experimental study investigates the impact of ChatGPT-simplified authentic texts on university students' reading comprehension, inferencing, and reading anxiety levels. A within-subjects design was employed, and 105 undergraduate English as a foreign language (EFL) students engaged in both original and ChatGPT-simplified text readings,…
Descriptors: Foreign Countries, Reading Comprehension, Artificial Intelligence, English (Second Language)
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Chalermsup Karanjakwut; Kamonwan Charunsri – Malaysian Online Journal of Educational Technology, 2025
This study investigated the impact of AI-driven brainstorming tools on process writing instruction and students' writing outcomes in the context of third-year Thai university students. A mixed-methods approach was employed to examine the effectiveness of AI-driven brainstorming tools, foreign English lecturers' preferences and comments towards…
Descriptors: Writing Instruction, Teaching Methods, Writing Processes, Process Approach (Writing)
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Cheryl A. Vamos; Joseph A. Puccio; Stacey B. Griner; Rachel G. Logan; Rumour Piepenbrink; Morgan Richardson Cayama; Sharonda M. Lovett; Helen Mahony; Ellen M. Daley – Journal of American College Health, 2024
Objective: To explore health literacy needs and preferences for a technology-based intervention (app) to improve sexual and reproductive health (SRH) among college students. Participants: In Spring 2019, in-depth interviews were conducted with 20 participants (10 male, 10 female) from a large, public university. Methods: Interview guide was…
Descriptors: College Students, Sexually Transmitted Diseases, Sex Education, Health Education
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Klaudia Gajewska – JALT CALL Journal, 2025
Given the novelty of human--machine communication (HMC) in task-based language learning (TBLL), we conducted a multimethodological pilot study to explore the use of Alexa in out-of-class task-based learning to mediate texts in English as a foreign language. Fourteen Polish intermediate learners participated in the quasi-experiment and programme…
Descriptors: Computer Software, Artificial Intelligence, Technology Uses in Education, Teaching Methods
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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