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Dmitrii Pastushenkov; Olesia Pavlenko; Steven Clancy – Language Learning & Technology, 2025
In this article, we delve into the application of the online game-based learning and testing platform Kahoot! with second language (L2) learners of Russian and explore how this tool can enhance our students' experiences. Following a brief overview of digital game-based learning (DGBL) and previous research on L2 learning through Kahoot!, we…
Descriptors: Online Courses, Game Based Learning, Second Language Instruction, Russian
Asrizal Wahdan Wilsa; Hartono; Bambang Subali; Enni Suwarsi Rahayu – Malaysian Journal of Learning and Instruction, 2025
Purpose -- Through the use of content analysis, this study was aimed at identifying the patterns in research conducted during the past decade and investigating the bibliometric outcomes of articles focused on augmented reality (AR) utilization in biology learning. Methodology -- This study conducted a bibliometric analysis. To perform the…
Descriptors: Educational Research, Trend Analysis, Computer Simulation, Technology Uses in Education
David Chilton; Kim Wilson; Janet Dutton – Education and Information Technologies, 2025
In recent years, laptop and 'Bring Your Own Device' (BYOD) programs have become an integral part of teaching and learning in many Australian schools. For history teachers, the presence of BYOD in the classroom potentially provides the opportunity to align two key teaching goals: historical research skills; and information, communication and…
Descriptors: Student Attitudes, Teacher Attitudes, Technology Uses in Education, History Instruction
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Feyzi Kaysi – International Journal of Technology in Education and Science, 2025
Due to the frequent utilization of technological applications in contemporary times, the quality of educational processes is rapidly evolving. This study examines students' experiences through simulation software applications. A mixed-method design is employed due to the combined use of qualitative and quantitative data collection methods.…
Descriptors: Computer Simulation, Computer Software, Learning Processes, Technology Uses in Education
Yushan Kuerban; Solomon Sunday Oyelere; Ismaila Temitayo Sanusi – International Journal of Technology in Education and Science, 2025
Dyslexia is a learning disability that significantly hinders students' abilities to read and comprehend educational materials, posing a substantial challenge within educational environments. This paper introduces an innovative educational system, ReadSmart, that integrates both Augmented Reality (AR) and Generative Artificial Intelligence (GenAI)…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Simulation
Jessie S. Barrot – Technology, Knowledge and Learning, 2025
Research shows that students often struggle with understanding complex academic texts, conducting comprehensive literature reviews, and adhering to the precise requirements of academic writing. One emerging tool that has the potential to address these challenges is SciSpace, an AI-powered platform designed to enhance the academic writing process…
Descriptors: Writing (Composition), Academic Language, Artificial Intelligence, Writing Processes
Yang Zhang; Yangping Li; Weiping Hu; Huizhi Bai; Yuanjing Lyu – Journal of Science Education and Technology, 2025
Scientific creativity plays an essential role in science education as an advanced cognitive ability that inspires students to solve scientific problems inventively. The cultivation of scientific creativity relies heavily on effective assessment. Typically, human raters manually score scientific creativity using the Consensual Assessment Technique…
Descriptors: Eye Movements, Artificial Intelligence, Creativity, Scientific Concepts
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
Annette Strauß; Ireen Kowalleck; David Rempel; Anja Zimmermann – Journal of Adult and Continuing Education, 2025
IU International University of Applied Sciences with more than 120,000 enrolled students at present and more than 200 bachelor's and master's programmes in total is a member of the UN Global Compact and its higher education initiative. The principles of these two initiatives are the key factors which define the sustainability approach of the…
Descriptors: Higher Education, Student Empowerment, Technology, Universities
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)
Yi Lyu; Azhar Bin Md Adnan; Lijuan Zhang – Education and Information Technologies, 2025
This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…
Descriptors: Foreign Countries, Natural Language Processing, Technology Integration, Teaching Methods
Xiying Li; Huixin Chai; Wanru Cao; Xin Zhao; Zhongling Pi – Education and Information Technologies, 2025
With the increase in life expectancy and the rapid advancement of digital technology, older adults often face challenges where formal learning opportunities are scarce. Consequently, they are compelled to rely on instructional videos for continuous learning. However, many older adults struggle with low self-efficacy and motivation. Although…
Descriptors: Instructional Design, Video Technology, Instructional Films, Older Adults
Ridwan Whitehead; Andy Nguyen; Sanna Järvelä – Journal of Learning Analytics, 2025
Incorporating non-verbal data streams is essential to understanding the dynamics of interaction within collaborative learning environments in which a variety of verbal and non-verbal modes of communication intersect. However, the complexity of non-verbal data -- especially gathered in the wild from collaborative learning contexts -- demands…
Descriptors: Case Studies, Nonverbal Communication, Video Technology, Data Analysis
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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