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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
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
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
Qi Wang; Shengquan Yu – Interactive Learning Environments, 2024
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…
Descriptors: Electronic Learning, Educational Resources, Automation, Models
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
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
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
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
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
Mark Wilson; Kathleen Scalise; Perman Gochyyev – Educational Psychology, 2019
In this article, we describe a software system for assessment development in online learning environments in contexts where there are robust links to cognitive modelling including domain and student modelling. BEAR Assessment System Software (BASS) establishes both a theoretical basis for the domain modelling logic, and offers tools for delivery,…
Descriptors: Computer Software, Electronic Learning, Test Construction, Intelligent Tutoring Systems
Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – Grantee Submission, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Pratama, Aditya – Cypriot Journal of Educational Sciences, 2021
The purpose of this research was to measure the acceptance of Google Classroom use by junior high school students using variables such as habits, satisfaction, knowledge, and skills. To achieve the set objective, it adopted the TAM, which measures technology usability and ease of use. TAM also provides a theoretical basis for measuring students'…
Descriptors: Technology Integration, Educational Technology, Electronic Learning, COVID-19
Nese, Rhonda N. T.; Meng, Paul; Breiner, Sarah; Chaparro, Erin; Algozzine, Robert – Journal of Research on Technology in Education, 2020
Traditional professional development is often characterized as being expensive, time consuming, and lacking impact. In contrast, online professional development provides greater flexibility and is becoming increasingly popular for school personnel. In this article, we report the process and outcomes of gathering feedback to adapt traditional…
Descriptors: Feedback (Response), Online Courses, Electronic Learning, Professional Development
Nese, Rhonda N. T.; Meng, Paul; Breiner, Sarah; Chaparro, Erin; Algozzine, Robert – Grantee Submission, 2020
Traditional professional development is often characterized as being expensive, time consuming, and lacking impact. In contrast, online professional development provides greater flexibility and is becoming increasingly popular for school personnel. In this article, we report the process and outcomes of gathering feedback to adapt traditional…
Descriptors: Feedback (Response), Online Courses, Electronic Learning, Professional Development