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Zebel-Al Tareq; Raja Jamilah Raja Yusof – IEEE Transactions on Education, 2024
Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…
Descriptors: Models, Problem Solving, Computation, Thinking Skills
Garcia, Manuel B. – Journal of Educational Computing Research, 2023
Computer programming is a difficult course for many students. Prior works advocated for group learning pedagogies in pursuit of higher-level reasoning and conceptual understanding. However, the methodological gaps in existing implementations warrant further research. This study conducted a three-armed cluster-randomized controlled trial to…
Descriptors: Computer Science Education, Programming, Cooperative Learning, Apprenticeships
Yunus, Muhammad; Amirullah, Amirullah; Safiah, Intan; Ridha, Syahrul; Suartama, I Kadek – Cypriot Journal of Educational Sciences, 2022
This study aims to develop an online-based collaborative project learning model design that can improve students' abilities in developing teaching materials. The method used is research and development. Data collection instruments are questionnaires and rubrics. Data analysis used descriptive statistics. The validation test used the individual…
Descriptors: Instructional Materials, Material Development, Student Developed Materials, Cooperative Learning
Tran, Tuan M.; Hasegawa, Shinobu – International Association for Development of the Information Society, 2022
A learner model reflects learning patterns and characteristics of a learner. A learner model with learning history and its effectiveness plays a significant role in supporting a learner's understanding of their strengths and weaknesses of their way of learning in order to make proper adjustments for improvement. Nowadays, learners have been…
Descriptors: Markov Processes, Learning Processes, Models, Scores
Kasey A. Karen; Bruce A. Snyder; Rich Adams – American Biology Teacher, 2024
Growing evidence has come to suggest that model-based inquiry can improve student learning outcomes and attitudes toward STEM in the biological sciences and beyond. In our introductory biology laboratory course that focuses on cellular and molecular biology, we introduced model-based inquiry (MBI) labs to create a more student-focused course that…
Descriptors: Biology, Laboratory Experiments, Science Instruction, Undergraduate Students
Nattaphol Thanachawengsakul; Trinnakorn Katekunlaphan; Lekruthai Khantongchai; Akhaphan Thanyavinichakul – Journal of Education and Learning, 2024
The spread of the coronavirus (COVID-19) strongly affected educational management in Thailand. This gave rise to the problem of how to improve the quality of students of all ages through 100% online learning, be this in areas of knowledge, abilities, skills, and attitudes towards learning. Therefore, the Secretariat of the Education Council of…
Descriptors: Foreign Countries, COVID-19, Pandemics, Academic Achievement
Mapile, Romyna Fortuna G.; Lapinid, Minie Rose C. – Mathematics Teaching Research Journal, 2023
This classroom-based action research aimed to determine the applicability of implementing Collaborative Learning in online setting to help students develop their interaction with one another and improve their academic performance. Participants of the study consisted of Grade 8 intact pilot section of a public school in an urban community which…
Descriptors: Cooperative Learning, Learning Activities, Computer Mediated Communication, Video Technology
Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
Al-Jarf, Reima – Online Submission, 2023
This article aims to give a comprehensive guide to planning and designing vocabulary tests which include Identifying the skills to be covered by the test; outlining the course content covered; preparing a table of specifications that shows the skill, content topics and number of questions allocated to each; and preparing the test instructions. The…
Descriptors: Vocabulary Development, Learning Processes, Test Construction, Course Content
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
Lin, Jian-Wei; Koong Lin, Hao-Chiang; Chen, Hong-Ren – IEEE Transactions on Learning Technologies, 2022
Conventional e-learning platforms require a high self-regulatory learning (SRL) ability to ensure learning effectiveness. However, because not everyone has high autonomy and a high SRL ability, many students quit during the online learning period. To enhance the SRL ability, many studies have developed e-learning platforms based on Zimmerman's SRL…
Descriptors: Metacognition, Role Models, Learning Strategies, Personal Autonomy
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Wahyuddin; Ernawati; Satriani, Sri; Nursakiah – Anatolian Journal of Education, 2022
The industrial revolution 4.0 make change in the educational paradigm that focuses on knowledge production and innovation applications of knowledge. One of the important elements that must be of concern to encourage economic growth and the nation's competitiveness in the era of the 4.0 industrial revolution is to prepare a more innovative learning…
Descriptors: Cooperative Learning, 21st Century Skills, Skill Development, Critical Thinking
Remsh Nasser Alqahtani; Ahmad Zaid Almassaad – Education and Information Technologies, 2025
The aim of research is to reveal the effect of a training program based on the TAWOCK model for teaching computational thinking skills on teaching self-efficacy among computer teachers. It used the quasi-experimental approach, with a pre-test and post-test design with a control group. An electronic training program based on the TAWOCK model was…
Descriptors: Models, Teaching Methods, Computation, Thinking Skills