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Showing 1 to 15 of 89 results Save | Export
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Dakir; Ahmad Fauzi; Abdul Qadir – Pegem Journal of Education and Instruction, 2024
This research uses a quantitative approach and aims to explain the effectiveness of online learning through the model of assisting parents during the COVID-19 pandemic. Therefore, this study used two variables, namely the parent assistance model as the independent variable and online learning activities as the dependent variable, with a total of…
Descriptors: Electronic Learning, COVID-19, Pandemics, High School Students
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Shiyi Liu; Juan Zheng; Tingting Wang; Zeda Xu; Jie Chao; Shiyan Jiang – AERA Online Paper Repository, 2024
This study introduces a novel approach for predicting student engagement levels in a language-based AI curriculum. The curriculum was integrated into English Language Arts classrooms, in which 106 students from five classes participated five web-based machine learning and text mining modules for 2 weeks. Sentiment and categorical analyses,…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Language Arts
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Alberto J. Cañas; Priit Reiska; Oleg Shvaikovsky – Knowledge Management & E-Learning, 2023
It is widely accepted that concept maps are a meaningful learning tool. Even so, the use of concept mapping as a meaningful learning tool is probably less common than the use of concept mapping as an assessment tool. In first place, the easiest thing to with a student's concept map is to apply a rubric and give it a grade. And second, teachers…
Descriptors: Concept Mapping, Teaching Methods, Electronic Learning, Elementary Schools
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Shu-Jing Wu; Feng-Lan Liu; Yan-Yu Xu; Tin-Chang Chang; Zeng-Han Lee – International Association for Development of the Information Society, 2023
This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones…
Descriptors: Junior High School Students, Foreign Countries, Learner Engagement, Models
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Guomin Chen; Pengrun Chen; Ying Wang; Nan Zhu – Interactive Learning Environments, 2024
The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…
Descriptors: MOOCs, Electronic Learning, Design, Technology Uses in Education
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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
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Wang, Jinglei; Yu, Sheng – Journal of Education and Learning, 2021
With the continuous development of technology and people's dependence on the Internet, more and more teachers' professional development is carried out on the Internet. Since no one has studied the professional development of online middle school teachers, we did this study based on this research gap. This article is a research on the professional…
Descriptors: Electronic Learning, Internet, Middle School Teachers, Science Teachers
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Fleischer, Yannik; Biehler, Rolf; Schulte, Carsten – Statistics Education Research Journal, 2022
This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a…
Descriptors: Statistics Education, Educational Research, Electronic Learning, Secondary School Students
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Liu, Dongping; Zhang, Hai – SAGE Open, 2021
Teacher online learning is an important way to solve teacher shortage and improve teachers' professional development. However, previous research works that focused on teacher-as-learner satisfaction with online learning were not enough. The aim of this study is to investigate factors that influence teacher satisfaction with online learning. The…
Descriptors: Foreign Countries, Middle School Teachers, Teacher Attitudes, Satisfaction
Jeremy M. Craft – ProQuest LLC, 2021
The purpose of this study was to test the efficacy of teaching sight-singing to novice, vocal music readers using a structured instructional model through an asynchronous format. Sight-singing literature is inconclusive on definitively best systems, resulting in educators using a variety of methods in the classroom. Research has shown however that…
Descriptors: Asynchronous Communication, Teaching Methods, Instructional Effectiveness, Novices
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Rwitajit Majumdar; Huiyong Li; Yuanyuan Yang; Hiroaki Ogata – Educational Technology & Society, 2024
Self-direction skill (SDS) is an essential 21st-century skill that can help learners be independent and organized in their quest for knowledge acquisition. While some studies considered learners from higher education levels as the target audience, providing opportunities to start the SDS practice by K12 learners is still rare. Further, practicing…
Descriptors: 21st Century Skills, Skill Development, Electronic Learning, Physical Activity Level
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Lidija Ivanovic; Nemanja Lukic; Boza Miljkovic – Journal of Educational Research, 2024
The emergency of switching to an online learning model due to the COVID pandemic impacted the educational process in of schools world wide. We conducted an anonymous survey at the elite high schools in Serbia whose students won 45 medals at international Olympiads in mathematics, physics, and computer sciences in the last 4-year period…
Descriptors: Foreign Countries, High School Students, Academically Gifted, Pandemics
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Hwang, Wu-Yuin; Hariyanti, Uun; Chen, Nian-Shing; Purba, Siska Wati Dewi – Interactive Learning Environments, 2023
The purpose of this study is to develop and validate an authentic contextual learning framework with six constructs to model the relationships among essential factors of authentic contextual learning. In particular, this framework explores the relationships across six constructs, i.e. learning by applying, healthy learning, collaborative learning,…
Descriptors: Authentic Learning, Models, Experiential Learning, Cooperative Learning
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Poitras, Eric; Butcher, Kirsten R.; Orr, Matthew; Hudson, Michelle A.; Larson, Madlyn – Interactive Learning Environments, 2022
This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…
Descriptors: Middle School Students, Electronic Learning, Maps, Science Instruction
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Neffisatu Celestine Dambo; Patrice M. Leverett; Randolph Burnside – SoJo Journal: Educational Foundations and Social Justice Education, 2023
Technology has been used worldwide for education, careers, communication, and daily functioning. Technology can have societal benefits and positive influences on students' development and opportunities for success. The unprecedented use of technology during a global pandemic has prompted parents, counselors, and educators to rethink the learning…
Descriptors: Equal Education, Technology Uses in Education, Outcomes of Education, At Risk Students
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