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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Xiaojing Xing; Chinaza Solomon Ironsi – International Journal of Sustainability in Higher Education, 2024
Purpose: This paper aims to explore the potential of implementing an action competence teaching model as a framework for achieving sustainable development goals (SDGs) in higher education. The paper seeks to draw insights from the students on the potential of this teaching model. Design/methodology/approach: The study adopted a quantitative…
Descriptors: Teaching Models, Sustainable Development, Objectives, Student Attitudes
Chee-Kit Looi; Shiau-Wei Chan; Longkai Wu; Wendy Huang; Mi Song Kim; Daner Sun – International Journal of Science and Mathematics Education, 2024
Limited research has been conducted on the influence of computational thinking (CT) dispositions on students' mathematics performance and engagement at the secondary or junior high school level. This study aims to bridge this research gap by developing CT-integrated mathematics lessons that incorporate CT-focused problem-solving and modeling in…
Descriptors: Foreign Countries, Secondary School Students, Computation, Thinking Skills
Undergraduate Engineering Students' Subjective Task Value Beliefs for Modeling Problems in Chemistry
Crippen, Kent J.; Imperial, Lorelie; Bolch, Charlotte A.; Payne, Corey A. – International Journal of Science and Mathematics Education, 2023
Use of modeling as a learning strategy in introductory science courses could serve to support the persistence of all students, including those who identify with a traditionally underrepresented ethnic minority (URM). If students find inherent value in working on modeling-type problems then this authentic practice would aid in transforming personal…
Descriptors: Undergraduate Students, Engineering Education, Learning Strategies, Learning Motivation
Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
Chew, Maureen Siew Fang; Shahrill, Masitah; Li, Hui-Chuan – Journal on Mathematics Education, 2019
A mathematics framework was developed to integrate problem-solving that incorporated simulation of real-life problems in the classrooms. The framework coined as the "RECCE-MODEL" emphasised understanding and thinking with a view on mathematics embedded in real-life. The "RECCE" which stands for Realistic, Educational,…
Descriptors: Problem Solving, Models, Mathematics Instruction, Secondary School Mathematics
Melike Yigit Koyunkaya; Ayse Tekin Dede – Education and Information Technologies, 2024
While existing studies acknowledge the importance of using technology in the mathematical modelling process, questions about how to integrate digital tools into mathematical modelling are not still answered. This study aims to examine pre-service mathematics teachers' designing and solving mathematical modelling problems by using different digital…
Descriptors: Mathematics Instruction, Problem Solving, Video Technology, Preservice Teachers
Vegard Gjerde; Sivert Hagane – Physical Review Physics Education Research, 2024
Peer Instruction gives practice in the abstract language of physics, addresses common misconceptions among students, and is more effective than traditional lecturing. However, it is not clear what makes Peer Instruction effective nor how we might improve the method. An emerging perspective is that what makes Peer Instruction effective is how it…
Descriptors: Science Instruction, Peer Teaching, Scientific Concepts, Models
Tom Reshef-Israeli; Shulamit Kapon – Online Submission, 2024
As problems become increasingly complex, science educators need to better understand how new knowledge is constructed and applied in heterogeneous team collaborations, and how to teach students to productively engage in these processes. We discuss the emergence of insights in collaborative sensemaking and suggest a model that articulates the…
Descriptors: Comprehension, Constructivism (Learning), Teaching Methods, Learner Engagement
Adrienne M. Pesce; Daniel B. King – Journal of Chemical Education, 2023
Novice chemists often struggle with the highly visual nature of some chemistry topics. To make visually demanding concepts, such as isomerism and stereochemistry, more accessible to students, chemistry instructors have long recommended the use of molecular model kits as visual aids. However, studies pertaining to student model usage have shown…
Descriptors: Student Attitudes, Molecular Structure, Science Teachers, Science Instruction
Zehra Taspinar Sener; Yüksel Dede – Irish Educational Studies, 2024
This study aims to reveal how model eliciting principles are used in the process of designing, applying, and evaluating teacher candidates' model-eliciting activities. This study was conducted in three stages in a multi-tiered teaching experiment. Firstly, 15 teacher candidates designed activities for Grade 7 students after they were trained on…
Descriptors: Grade 7, Mathematical Models, Mathematics Instruction, Preservice Teacher Education
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Rui Wang; Jiraporn Chano; Yannapat Seehamongkon – Higher Education Studies, 2025
This study aimed to survey and explore the basic aspects and needs for developing an instructional model to enhance attitude and achievement in ideological and political education(IPE). According to the experimental data results, the current status of attitude and achievement and the factors affecting attitudes are mainly analyzed, and…
Descriptors: Political Attitudes, Attitude Change, Ideology, Political Science
Koç, Damla; Elçi, Aysun Nüket – Journal of Pedagogical Research, 2022
This research was performed as a single group pretest-posttest experimental design to determine the effect of mathematical modeling instruction on pre-service primary school teachers' (PPSTs) problem-solving skills and attitudes towards mathematics. Based on an online intervention due to the pandemic, the study involved 12 PPSTs who participated…
Descriptors: Mathematical Models, Mathematics Instruction, Preservice Teachers, Elementary School Teachers
Sirnoorkar, Amogh; Bergeron, Paul D. O.; Laverty, James T. – Physical Review Physics Education Research, 2023
Researchers in physics education have advocated both for including modeling in science classrooms as well as promoting student engagement with sensemaking. These two processes facilitate the generation of new knowledge by connecting to one's existing ideas. Despite being two distinct processes, modeling is often described as sensemaking of the…
Descriptors: Physics, Science Instruction, Learner Engagement, Student Attitudes