NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ali, Clement Ayarebilla; Acquah, Saknah; Esia-Donkoh, Kweku – African Educational Research Journal, 2021
The study compared exhaustively the Successive Approximation Model (SAM) and Analyze, Design, Develop, Implement and Evaluate (ADDIE) model on the teaching and learning of Science, Technology, Engineering and Mathematics subjects in Ghana. We selected a sample of 30 student-teachers who offered Mathematics and Science in the distance mode of the…
Descriptors: Models, STEM Education, Concept Formation, Student Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Xie, Heping; Zhao, Tingting; Deng, Sue; Peng, Ji; Wang, Fuxing; Zhou, Zongkui – Journal of Computer Assisted Learning, 2021
Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…
Descriptors: Eye Movements, Attention, Cognitive Ability, Learning Processes
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Simamora, Bilson; Mutiarawati, Elisabeth Vita – International Journal of Evaluation and Research in Education, 2021
Achievement motivation evolved fast in the educational field. In this development, the trichotomous and the 2X2 models received myriad attention from the educational specialist. However, there is a debate about which is better between the two models. This study aimed to intercede this debate and argue that the study's duration should be accounted…
Descriptors: Achievement Need, Student Motivation, Goal Orientation, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lin, Hoi Yan; You, Jia – Journal of Education and Learning, 2021
"Pulse of the Profession," published by Project Management Institutes (2017), reported that failed projects always lacked (a) clearly defined objectives to measure progress and (b) poor communication between team members. Minimizing communication costs and maximizing trust levels are essential to improve the efficiency of team…
Descriptors: Teamwork, Performance Factors, Cooperative Learning, Active Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Mansouri, Taha; ZareRavasan, Ahad; Ashrafi, Amir – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic in many academic disciplines. Different mathematical models have been employed to predict student…
Descriptors: Cognitive Mapping, Models, Prediction, Performance Factors
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi – International Educational Data Mining Society, 2021
With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…
Descriptors: Integrated Learning Systems, Interaction, Undergraduate Students, Minority Group Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Emara, Mona; Hutchins, Nicole M.; Grover, Shuchi; Snyder, Caitlin; Biswas, Gautam – Journal of Learning Analytics, 2021
The integration of computational modelling in science classrooms provides a unique opportunity to promote key 21st century skills including computational thinking (CT) and collaboration. The open-ended, problem-solving nature of the task requires groups to grapple with the combination of two domains (science and computing) as they collaboratively…
Descriptors: Cooperative Learning, Self Management, Metacognition, Computer Science Education