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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
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
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
Jialiang Liu; Gaowei Chen; Jianhua Zhao – Education and Information Technologies, 2025
Research on teachers' digital competence presents conflicting perspectives, posing a significant challenge to its enhancement. While researchers have explored the multifaceted factors influencing teachers' digital competence, the field has yet to develop a comprehensive factor model that can systematically analyze its development. This study…
Descriptors: Electronic Learning, Digital Literacy, Teacher Competencies, Educational Practices
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
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
Salomé Martínez; Flavio Guiñez; Darío González – Mathematics Teacher: Learning and Teaching PK-12, 2023
An university in Chile developed a Digital Learning Routes (DLR) for three elective courses in the area of mathematics: (1) limits, derivatives, and integrals; (2) probabilities and descriptive and inferential statistics; and (3) three-dimensional geometry. A DLR is a sequence of e-learning activities that seeks to enable learners to build…
Descriptors: Foreign Countries, Electronic Learning, Mathematics Activities, Mathematics Instruction
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
Antionette Marie Stith – ProQuest LLC, 2024
In cyber charter schools, middle-school students face many barriers to developing STEM identity. My theory of improvement was to address sense of belonging in a large virtual classroom to develop STEM identity in my students. By utilizing diverse STEM role models that reflected my students' racial or ethnic identities and an inquiry-based approach…
Descriptors: STEM Education, Role Models, Self Concept, Charter Schools
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
Yilmaz, Yusuf; Açikgül Firat, Esra – Malaysian Online Journal of Educational Technology, 2023
This study aims to determine the predictive effect of attitudes toward digital technologies, gender, grade level, and internet usage time on project based virtual learning qualifications (PBVLQ) of secondary school students. The research design is a predictive correlational study. The sample of the research was 703 6th, 7th and 8th grade students…
Descriptors: Secondary School Students, Active Learning, Student Projects, Electronic Learning
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
Islami, Ana Amalia; Rahmayanti, Henita; Iriani, Tuti; Ichsan, Ilmi Zajuli; Koc, Isil; Darussyamsu, Rahmawati – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2021
Practical learning activities carried out in remote situations during the COVID-19 pandemic triggered vocational students to take advantage of the surrounding environment as a learning resource. The process also determines how their HOTS and HOTSEP are. A learning model that can accommodate the skills is needed, such as ITA (Identify…
Descriptors: Electronic Learning, Distance Education, Thinking Skills, Environment
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