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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
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
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
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
Chou, Chih-Yueh; Zou, Nian-Bao – International Journal of Educational Technology in Higher Education, 2020
In self-regulated learning (SRL), students organize, monitor, direct, and regulate their learning. In SRL, monitoring plays a critical role in generating internal feedback and thus adopting appropriate regulations. However, students may have poor SRL processes and performance due to their poor monitoring. Researchers have suggested providing…
Descriptors: Feedback (Response), Self Management, Self Evaluation (Individuals), Metacognition
Putra, Alhadi Yan – International Journal of Education and Practice, 2020
This study aimed at analyzing the influence of the knowledge transfer through the implementation of information technology comprising variables like socialization, externalization, combination, and internalization (SECI) and reflected in the performance of the headmasters at state high schools and state vocational high schools in South Sumatera,…
Descriptors: Information Technology, Technology Integration, Knowledge Management, Principals
Doan, Thanh-Nam; Sahebi, Shaghayegh – International Educational Data Mining Society, 2019
One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…
Descriptors: Data Analysis, Performance Factors, Prediction, Models
Cecchini, José A.; Carriedo, Alejandro; Méndez-Giménez, Antonio – Journal of Educational Research, 2019
Self-determination theory has emerged as one of the most important theoretical frameworks to explain motivation in the context of physical education within school systems. The authors propose a new circular, longitudinal, feedback model to complement Vallerand's (1997) hierarchical model. To test this new approach, Epstein's TARGET strategies…
Descriptors: Physical Education, Self Determination, Student Motivation, Psychological Needs
Montero, Shirly; Arora, Akshit; Kelly, Sean; Milne, Brent; Mozer, Michael – International Educational Data Mining Society, 2018
Personalized learning environments requiring the elicitation of a student's knowledge state have inspired researchers to propose distinct models to understand that knowledge state. Recently, the spotlight has shone on comparisons between traditional, interpretable models such as Bayesian Knowledge Tracing (BKT) and complex, opaque neural network…
Descriptors: Artificial Intelligence, Individualized Instruction, Knowledge Level, Bayesian Statistics
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
Cruickshank, Vaughan – Journal of Education and Educational Development, 2018
Tyler's objectives curriculum model has been a strong influence in the field of curriculum development since its publication in 1949. The influence of this model remains strong despite its age, demonstrating the importance of the questions Tyler based his model around. This discussion paper examines Tyler's (1949) objectives curriculum model;…
Descriptors: Physical Education, Health Related Fitness, Models, Curriculum Design
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
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
Rajabalee, Yousra Banoor; Santally, Mohammad Issack; Rennie, Frank – International Journal of Distance Education Technologies, 2020
This paper reports the findings of a research using marks of students in learning activities of an online module to build a predictive model of performance for the final assessment of the module. The objectives were (1) to compare the performances of students of two cohorts in terms of continuous learning assessment marks and final learning…
Descriptors: Performance Factors, Electronic Learning, Learning Analytics, Learning Activities
Georgakopoulos, Ioannis; Chalikias, Miltiadis; Zakopoulos, Vassilis; Kossieri, Evangelia – Education Sciences, 2020
Our modern era has brought about radical changes in the way courses are delivered and various teaching methods are being introduced to answer the purpose of meeting the modern learning challenges. On that account, the conventional way of teaching is giving place to a teaching method which combines conventional instructional strategies with…
Descriptors: Academic Failure, Blended Learning, Learner Engagement, Student Participation