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Seok-Hyun Ga; Hyun-Jung Cha; Hye-Gyoung Yoon – Journal of Science Education and Technology, 2024
As augmented reality (AR) gains prevalence, various AR exhibits are being installed in science museums. However, few research has thus far examined the extent to which these exhibits can improve visitors' learning. This study qualitatively evaluates the effectiveness of an AR dinosaur exhibit at the Gwacheon National Science Museum in Korea and…
Descriptors: Exhibits, Museums, Computer Simulation, Sciences
Edwin Chng – Journal of Science Education and Technology, 2024
With teachers continuing to report challenges in classroom management and difficulties in implementing scientific inquiry, the current manner in which science practical work is conducted in schools suggests the need for added teacher support. In this regard, we can leverage computer vision to provide instructional support by relieving teachers of…
Descriptors: Artificial Intelligence, Science Education, Computer Uses in Education, Science Teachers
Amanda Nolte; Hilary Mead; Chrystalla Mouza; Rosalie Rolón-Dow; Sotheara Veng; Lori Pollock – Journal of Technology and Teacher Education, 2024
Teachers' lack of knowledge abound computational thinking (CT) and limited opportunities to incorporate CT in existing curricula pose unique challenges at the elementary level. Despite the crucial role of professional development (PD) in preparing elementary school teachers to integrate CT in classroom instruction, there is little research…
Descriptors: Computation, Interdisciplinary Approach, Faculty Development, Computer Science Education
Kevin Johnston; Norman van Wyk; Joachim Schuler; Brian Eyre – International Society for Technology, Education, and Science, 2024
To create a Futures Literacy course. Background: A previously developed and tested Framework to develop IT courses for emerging technologies was used to develop a Futures Literacy course. A literature review was conducted to discover theories, models, and frameworks that could be used to create IT courses. A Course Development Framework was used…
Descriptors: Computer Science Education, Curriculum Development, Course Content, Futures (of Society)
Denis Shchepakin; Sreecharan Sankaranarayanan; Dawn Zimmaro – International Educational Data Mining Society, 2024
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…
Descriptors: Algorithms, Bayesian Statistics, Probability, Artificial Intelligence
Mehmet Arif Demirta¸; Max Fowler; Kathryn Cunningham – International Educational Data Mining Society, 2024
Analyzing which skills students develop in introductory programming education is an important question for the computer science education community. These key skills and concepts have been formalized as knowledge components, which are units of knowledge that can be measured by performance on a set of tasks. While knowledge components in other…
Descriptors: Programming, Computer Science Education, Skill Development, Knowledge Level
Lucas Kohnke – SpringerBriefs in Education, 2024
This book examines teacher professional development (TPD) models to integrate microlearning into TPD training and serves as a concise but comprehensive introduction to the field. This book covers critical teacher professional development and microlearning aspects, including artificial intelligence, virtual reality, augmented reality, and mixed…
Descriptors: Digital Literacy, Competence, Microteaching, Teacher Education Programs
Al-Jarf, Reima – Online Submission, 2022
Vocabulary teaching and learning constitute a major problem for EFL instructors and students. EFL freshman students have difficulty in pronouncing, recognizing the meaning of, using and spelling new English words. Due to the COVID-19 Pandemic, all college courses have shifted to online distance learning since March 2020. Surveys with samples of…
Descriptors: Undergraduate Students, Self Efficacy, Student Surveys, Student Attitudes
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Pattra Suansokchuak; Pallop Piriyasurawong – Higher Education Studies, 2025
This article aims to present a new educational model that integrates engineering learning with design thinking via a cloud ecosystem to enhance digital intelligence for undergraduate students. This approach utilizes user-centered problem-solving to foster innovation and collaborative learning. The educational environment can adapt to 21st-century…
Descriptors: Design, Thinking Skills, Engineering Education, Undergraduate Students
Stephanie M. Robillard; Victor R. Lee; Jody Clarke-Midura; Jessica Shumway – Journal of Research on Technology in Education, 2025
This article uses interaction analysis to examine an episode moment-by-moment of how a group of educators recognized and acknowledged that a specific design decision could be harmful for a historically marginalized population of students enrolled in the district. However, once a key change was made to be more culturally responsive and considerate,…
Descriptors: Design, Computer Science, Culturally Relevant Education, Cooperation
Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain
Marie-Monique Schaper; Mariana Aki Tamashiro; Rachel Charlotte Smith; Ole Sejer Iversen – ACM Transactions on Computing Education, 2025
As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…
Descriptors: Inclusion, Artificial Intelligence, Student Empowerment, Algorithms
Quyen Tran – Technology in Language Teaching & Learning, 2025
Based on the concept of "learner agency", this single case study examines the self-instructed language learning process of a language learner with ChatGPT since May 2024. To serve the purpose of the study, qualitative data were collected through a semi-structured interview, the participant's chat logs with the bot, and his learning…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Integration
Mazhar Bal; Emre Öztürk – British Educational Research Journal, 2025
The purpose of this study is to examine the relationship between technology-supported writing instruction at the K-12 level and deep learning approaches and to understand the trends in this field. In the study, 12 articles selected from Web of Science, Scopus, ERIC and EBSCO databases were systematically analysed. The findings reveal that the…
Descriptors: Learning Processes, Writing Processes, Writing Skills, Writing Instruction

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