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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
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Silvia García-Méndez; Francisco de Arriba-Pérez; María del Carmen Somoza-López – Science & Education, 2025
Transformer architectures contribute to managing long-term dependencies for natural language processing, representing one of the most recent changes in the field. These architectures are the basis of the innovative, cutting-edge large language models (LLMs) that have produced a huge buzz in several fields and industrial sectors, among the ones…
Descriptors: Natural Language Processing, Artificial Intelligence, Literature Reviews, Technology Uses in Education
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Blasius Erik Sibarani – Turkish Online Journal of Distance Education, 2025
As a result of the COVID-19 pandemic, the approach to learning in education has transitioned from traditional to online (distance learning). It is undeniable that distance education has become a new approach to learning. In the past decade, many institutions have offered distance learning approaches. However, the effectiveness of distance…
Descriptors: Artificial Intelligence, Distance Education, Learner Engagement, Program Effectiveness
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Engin Demir; Huseyin Cevik – Turkish Online Journal of Distance Education, 2025
Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…
Descriptors: Student Attitudes, Electronic Learning, Educational Technology, Predictor Variables
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Sevan Nart – Turkish Online Journal of Educational Technology - TOJET, 2025
Research has indicated that the ever-changing emerging technologies have different impacts on music education from many perspectives such as; music pedagogy, instruction methods, evaluation approaches. For almost 30 years the online learning and education platforms based on Artificial Intelligence (AI) provides both teachers and students with rich…
Descriptors: Music Education, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Daniel R. Bailey; Andrea Lee; Hanrui He; John McConnell; Dava R. Wilson; Kakali B. Chakrabarti – Turkish Online Journal of Educational Technology - TOJET, 2025
This study examines Grammarly's utility as a writing assistant for enhancing higher education students' writing skills. University writing centers and classroom settings now incorporate Grammarly as a resource for writing assistance and there is a need to understand how students view its use and its link to help-seeking behavior. 476 university…
Descriptors: Educational Technology, Technology Uses in Education, Grammar, Writing (Composition)
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So Yeon Kim; Rose A. Mason; Mandy Rispoli; John L. Davis; Catharine Lory; Emily Gregori; Carly A. Roberts; Denise Whitford; Danni Wang – Focus on Autism and Other Developmental Disabilities, 2025
Despite the wide usage of technology in educational settings, the overall evidence base of technology-aided reading interventions for students with autism spectrum disorder (ASD) has not been fully investigated. The purpose of this meta-analysis was to quantify the effects of technology-aided reading interventions for students with ASD and…
Descriptors: Educational Technology, Technology Uses in Education, Educational Research, Reading Instruction
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Liz Ebersole; Teresa S. Foulger; Yi Jin; Daniel James Mourlam – British Journal of Educational Technology, 2025
Social media has been shown to be an efficient way to engage in networked participatory scholarship (NPS), which is defined as the use of online social networks to share and further develop scholarship. As leaders in the field, educational technology scholars should be at the forefront of this practice. We used social network analysis (SNA) to…
Descriptors: Social Media, Pedagogical Content Knowledge, Technological Literacy, Scholarship
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Monika Dockendorff; Florencia Gomez Zaccarelli – International Journal of Mathematical Education in Science and Technology, 2025
Over the last several decades, digital technology (DT) integration in teaching and learning mathematics has received considerable attention, as such integration has not led to the expected results. Teacher education is a critical factor -- even more important than access to tools and devices -- in technology-enhanced teaching and learning. The…
Descriptors: Preservice Teacher Education, Mathematics Teachers, Educational Technology, Technology Integration
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Ellie Koseda; Ivan K. Cohen; Jasmine Cooper; Bryan McIntosh – Policy Futures in Education, 2025
In recent years, there has been a change in the objectives of Higher Education (HE): the inclusion of employability. The successful inclusion of employability as a goal of HE requires a change to the sector's teaching, learning and assessment (TLA) methods, which ought to be part of an HEI's strategy. In particular, there needs to be an emphasis…
Descriptors: Employment Potential, Curriculum Design, Higher Education, Learning Objectives
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Jie Tian – International Journal of Web-Based Learning and Teaching Technologies, 2025
As cloud computing, big data, and AI advance, teachers increasingly leverage "cloud" technology for flexible and intelligent teaching. The "cloud classroom" is a growing trend, especially for instrumental music education. This paper examines the pros and cons of cloud-based instrumental music teaching, exploring how to adapt…
Descriptors: Music Education, Musical Instruments, Artificial Intelligence, Educational Technology
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Ayodele Ogegbo; Olutola Olujuwon – International Journal of Education and Development using Information and Communication Technology, 2025
This study investigated principals' self-reported technology leadership abilities in Nigerian public secondary schools. A survey was administered to a sample of one hundred principals in SouthWest Nigeria, using a questionnaire with a combination of both open and closed-ended questions. The survey was conducted online, and the quantitative data…
Descriptors: Foreign Countries, Principals, Leadership Qualities, Leadership Responsibility
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Lalu Sumardi; Adi Fadli; Ahmad Fauzan – Journal of Education and e-Learning Research, 2025
This study aims to measure the effectiveness of electronic civic education teaching materials integrated into LMS-SPADA in improving students' STEM reasoning ability and communication skills. In addition, this study will also measure the effect of gender on their STEM reasoning ability and communication skills. The research design is a…
Descriptors: Educational Technology, Technology Uses in Education, STEM Education, Thinking Skills
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Teemu Valtonen; Teija Paavilainen; Sonsoles López-Pernas; Mohamed Saqr; Laura Hirsto – Technology, Knowledge and Learning, 2025
This study focuses on learning analytics from the perspective of elementary and secondary classroom teachers (grades one to nine). The aim is to explore teachers' perceptions about the use of learning analytics, the challenges and opportunities associated with the tools, and the future of the analytics. The research is based on qualitative data:…
Descriptors: Elementary School Teachers, Secondary School Teachers, Learning Analytics, Teacher Attitudes
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