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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
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
Yidnekachew Awraris Kebede; Firew Kebede Zema; Girma Moti Geletu; Samuel Assefa Zinabu – SAGE Open, 2025
The jigsaw model is a dynamic cooperative learning approach where students become experts on different segments of the material and teach their peers, thereby enhancing engagement accountability, team work, and ultimately improving academic achievement. This study investigated the effectiveness of a cooperative learning strategy on secondary…
Descriptors: Foreign Countries, Cooperative Learning, Science Achievement, Biology
Nathan Jones; Lindsey Kaler; Jessica Markham; Josefina Senese; Marcus A. Winters – Educational Researcher, 2025
Students with and without disabilities may be educated across various service delivery models (SDMs): general education, cotaught, pull-out, and self-contained. Still, evidence for their relative effectiveness at scale remains limited. Using longitudinal administrative data from Indiana, we measured the effect of different SDMs on test scores,…
Descriptors: Students with Disabilities, Teaching Methods, Students, Instructional Effectiveness
Lyrica Lucas; Anum Khushal; Robert Mayes; Brian A. Couch; Joseph Dauer – International Journal of Science Education, 2025
Educational reform priorities such as emphasis on quantitative modelling (QM) have positioned undergraduate biology instructors as designers of QM experiences to engage students in authentic science practices that support the development of data-driven and evidence-based reasoning. Yet, little is known about how biology instructors adapt to the…
Descriptors: Undergraduate Students, College Science, Biology, Classroom Observation Techniques
Böschl, Florian; Forbes, Cory; Lange-Schubert, Kim – Science Education, 2023
Science education reform efforts have emphasized the incorporation of more authentic and meaningful scientific practices into formal learning environments. With this focus on practices, such as scientific modeling, a powerful tool for sense-making and reasoning, comes a need to observe and understand if and how it is actually occurring,…
Descriptors: Foreign Countries, Comparative Education, Science Education, Models
Anam Aslam; Sagheer Ahamd; Hans-Stefan Siller; Abida Nasreen – Asia-Pacific Science Education, 2024
Science education is crucial for fostering knowledge across academic disciplines. Past efforts to enhance science achievement at the elementary level have explored various instructional strategies. Among these, the Understanding by Design (UbD) model has shown notable potential in improving science achievement outcomes compared to traditional…
Descriptors: Science Achievement, Science Instruction, Grade 5, Elementary School Students
Jitu Halomoan Lumbantoruan; Tatang Herman – Journal of Education and Learning (EduLearn), 2025
The teacher's job is to prepare learning plans, create modules, implement, assess, and evaluate. The fact that teachers don't have modules yet. As a result, the mean logarithmic learning outcome of 74.80 is below the standard of 75. It is urgent to research because there is a gap between theory, expectations, and reality. The aim is to produce a…
Descriptors: Educational Improvement, Outcomes of Education, Cooperative Learning, Needs Assessment
Fitri, Lutviani S.; Rosyida, Fatiya; Putra, Alfyananda K.; Wirahayu, Yuswanti A.; Selviana, Novita – Pegem Journal of Education and Instruction, 2022
This study aims to determine the effect of the geographical inquiry learning model with the SETS approach on complex problem-solving abilities. The hypothesis in this study consists of H0 (There is no difference in the effect of the geographical inquiry learning model with the SETS approach on the students' CPS abilities) and H1 (There is a…
Descriptors: Geography Instruction, Inquiry, Problem Solving, Conservation (Environment)
Smyth, Lillian; Carter, James; Valter, Krisztina; Webb, Alexandra L. – Anatomical Sciences Education, 2021
A student's own body provides an often disregarded site of knowledge production and corporeal wisdom. Learning via cognitive processes anchored in physical movement and body awareness, known as embodied learning, may aid students to visualize structures and understand their functions and clinical relevance. Working from an embodied learning…
Descriptors: Learning Activities, Anatomy, Human Body, Medical Education
Arik, Merve; Topçu, Mustafa Sami – Journal of Science Education and Technology, 2022
Studies maintain that computational thinking (CT) is associated with science content and scientific processes as well as with many disciplines. It is thought that designing teaching processes in which science and CT processes take place together makes science learning more meaningful. With this in mind, in this study, the researchers integrated…
Descriptors: Computation, Thinking Skills, Science Process Skills, Science Education
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
Cabero-Almenara, Julio; Gutiérrez-Castillo, Juan Jesús; Guillén-Gámez, Francisco D.; Gaete-Bravo, Alejandra F. – Technology, Knowledge and Learning, 2023
The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A…
Descriptors: Digital Literacy, Academic Achievement, Higher Education, Predictor Variables
Aktas, Idris; Özmen, Haluk – Education and Information Technologies, 2022
This study assesses the performance of Turkish science pre-service teachers (PSTs) in a TPACK-Practical Course that consists of the training course and lesson-plan-micro-teaching stages. The subjects of the study were 46 PSTs (19 males and 27 females). In this study, after PSTs took a TPACK training course, they created a TPACK-based lesson plan…
Descriptors: Foreign Countries, Science Teachers, Technological Literacy, Pedagogical Content Knowledge
Jiang, Bo; Wu, Simin; Yin, Chengjiu; Zhang, Haifeng – IEEE Transactions on Learning Technologies, 2020
Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing…
Descriptors: Programming, Computer Assisted Instruction, Problem Solving, Task Analysis