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Mufidah Firzanah Mihat – Journal of Science and Mathematics Education in Southeast Asia, 2024
The digital era's technological transformation has a wide range of beneficial effects on the science learning process. Game-based learning (GBL) is the use of game design ideas to learn about some topic while pupils are striving to do their best in the process. This study was carried out with the help of Educaplay apps ("Identify Me…
Descriptors: Science Education, Computer Software, Grade 4, Elementary School Students
De-Chih Lee; Ching-Yi Chang – Education and Information Technologies, 2025
During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning…
Descriptors: Elementary School Students, Secondary School Students, Independent Study, Active Learning
Ünal Çakiroglu – Learning: Research and Practice, 2024
This quasi-experimental study aims to compare the effects of using combinations of written text, animation and narration in multimedia courseware. 114 sixth grade students assigned in three conditions were participated in the study. Three versions of the courseware with combinations of animation, text and narration were developed taking modality…
Descriptors: Courseware, Computer Assisted Instruction, Multimedia Instruction, Comparative Analysis
Fernando López-Calatayud; Jesús Tejada – Research Studies in Music Education, 2024
Self-regulation strategies and behaviors are important aspects of instrumental music learning because they allow students to set learning goals by testing and controlling their cognition, motivation, behaviors, and emotions. This work investigates the self-regulation processes of four young instrumentalists (aged 10-11 years) in their initial…
Descriptors: Metacognition, Music Education, Learning Motivation, Musical Instruments
Chiang, Yueh-hui Vanessa; Cheng, Ya-Wen; Chen, Nian-Shing – Educational Technology & Society, 2023
Understanding the obstacles and causes students faced while learning with new technologies is the key to inform effective instructional designs. To achieve this aim, this study conducted a qualitative video analysis on language learners' observable behaviors when they took part in learning activities supported by the technology of robots and…
Descriptors: Learning Activities, Computer Assisted Instruction, Educational Technology, Robotics
Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Younmi Jeon – ProQuest LLC, 2023
A number of studies in mobile learning research have shown that the use of computer-assisted language learning (CALL) and many different types of technology within language learning contexts can potentially influence learning of students, particularly the younger generation. In the current study, two participant groups -- EFL teachers and parents…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Soboleva, Elena V.; Zhumakulov, Khurshidzhon K.; Umurkulov, Kayumzhon P.; Ibragimov, Gasanguseyn I.; Kochneva, Lyubov V.; Timofeeva, Maria O. – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The lack of sufficiently developed methodological basis before graduation adversely affects the mathematical competency of future experts that are required by the modern economy. The study aims to investigate the features of the development of a personalized model of teaching mathematics by means of interactive novels to improve the quality of…
Descriptors: Mathematics Instruction, Teaching Methods, Novels, Mathematics Skills
Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
Andy Ding-Xuan Ng; Aloysius Ong; Alwyn Vwen Yen Lee; Chew Lee Teo – Pedagogies: An International Journal, 2024
Research and development of Learning Analytics (LA) have created new ways to support students' learning. However, our understanding of teachers' roles when implementing LA in classroom practices remains nascent. This study investigates how teachers can implement LA to support students' agency in directing their own inquiry, when engaging in a…
Descriptors: Learning Analytics, Grade 5, Elementary School Students, Grade 6
Uluyol, Çelebi; Orak, Esma; Gökçearslan, Sahin; Ramazanoglu, Mehmet – Participatory Educational Research, 2023
This study is designed to reveal the research trends of graduate theses published in the field of computer programming in K-12 between 2018 and 2022. Document analysis was used for data collection in this study. The data was divided into 9 categories, and the results demonstrated that the scholars in the Departments of Computer Educational and…
Descriptors: Computer Science Education, Programming, Kindergarten, Elementary Secondary Education
Liu, Yuan-Chen; Huang, Tzu-Hua; Lin, I-Hsuan – Innovation in Language Learning and Teaching, 2023
The aim of this study is to use augmented reality and hands-on activity with phonics cubes to create an augmented reality English learning system named the Rolling Alphabet-AR System to investigate its impact on English learning, flow experience, and English self-efficacy for sixth graders. This study adopted quasi-experimental research on 114…
Descriptors: Alphabets, English (Second Language), Second Language Learning, Phonics
Dennen, Vanessa P.; Hall, Barbara M.; Hedquist, Amber – Online Learning, 2023
Many online learning experiences integrate some form of dialogic interaction among instructors and learners. However, the degree to which these individuals come to a mutual understanding of their task and topic, a phenomenon called intersubjectivity, often remains a question. This systematic review of online learning research examines 48…
Descriptors: Online Courses, Learning Experience, Journal Articles, Trend Analysis
Ahmet Oguz Akçay – Mathematics Teaching Research Journal, 2024
This study aims to investigate pre-service teachers' integration of technology and how the integration of technology influences the level of cognitive demands of the mathematics tasks in their mathematics technology activities. The purpose of this study was to investigate the various levels of cognitive demands of mathematical tasks created or…
Descriptors: Mathematics Teachers, Mathematics Instruction, Cognitive Ability, Preservice Teachers