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Kilde Löfgren, Sebastian; Weidow, Jonathan; Enger, Jonas – Science Education, 2023
The creation and use of models in science is of great importance for knowledge production and communication. For example, toy models are often used as idealized explanatory models in physics education. Models can be a powerful tool for exploring phenomena in ways that facilitate learning. However, careful consideration of instruction and…
Descriptors: Physics, Science Instruction, Laboratory Experiments, Learning Processes
Megli, Austin C. – ProQuest LLC, 2022
The three research papers completed and compiled to make up this dissertation explore the relationship between social presence and social construction of knowledge in asynchronous online discussion forums in higher education courses in the instructional technology field. Paper 1 is a literature review of the interaction analysis model (IAM)…
Descriptors: Asynchronous Communication, Correlation, Computer Mediated Communication, Group Discussion
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
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Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
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Steenbeek, Henderien; van Vondel, Sabine; van Geert, Paul – Complicity: An International Journal of Complexity and Education, 2017
This article concentrates on the question what kind of model--conceptual and statistical--can serve as a good working model for the study of learning and teaching processes qua processes. We claim that a good way of answering this question is to begin by observing a teaching and learning process as, where, and when it occurs. In addition, a…
Descriptors: Classroom Techniques, Learning Processes, Group Dynamics, Models
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Lluch Molins, Laia; Cano García, Elena – Journal of New Approaches in Educational Research, 2023
One of the main generic competencies in Higher Education is "Learning to Learn". The key component of this competence is the capacity for self-regulated learning (SRL). For this competence to be developed, peer feedback seems useful because it fosters evaluative judgement. Following the principles of peer feedback processes, an online…
Descriptors: Learning Analytics, Learning Management Systems, Peer Evaluation, Higher Education
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Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
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Branko Andic; Zsolt Lavicza; Eva Ulbrich; Stanko Cvjeticanin; Filip Petrovic; Mirjana Maricic – Journal of Biological Education, 2024
Contemporary education adopts various new visualisation techniques for content to be learned. Recently, research on the application of 3D modelling and printing (3DMP) has been expanding. However, as the latest literature reviews indicate, little research is available on the contribution of 3DMP to learning of students with blindness (SWB) and…
Descriptors: Models, Elementary School Science, Biology, Science Education
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Shabbir, Shahzad; Ayub, Muhammad Adnan; Khan, Farman Ali; Davis, Jeffrey – Interactive Technology and Smart Education, 2021
Purpose: Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. As short-term motivational problems span for a limited period of time, such as a session,…
Descriptors: Learning Motivation, Electronic Learning, Time Factors (Learning), Learning Processes
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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
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Fiol, C. Marlena; O'Connor, Edward J. – Learning Organization, 2017
Purpose: The purpose of Part II of this two-part paper is to uncover important differences in the nature of the three unlearning subprocesses, which call for different leadership interventions to motivate people to move through them. Design/methodology/approach: The paper draws on research in behavioral medicine and psychology to demonstrate that…
Descriptors: Learning, Organizational Change, Models, Behavior Patterns
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Barger, Michael M.; Linnenbrink-Garcia, Lisa – Educational Psychologist, 2017
Children hold many personal theories about education: theories about themselves, knowledge, and the learning process. Personal theories help children predict what their actions will cause, and therefore relate to motivation, self-regulation, and achievement. Researchers typically examine how specific types of personal theories develop…
Descriptors: Theories, Students, Children, Models
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Kambouri-Danos, Maria; Ravanis, Konstantinos; Jameau, Alain; Boilevin, Jean-Marie – Early Childhood Education Journal, 2019
Children's everyday activities enable them to learn some science even before entering preschool education and children bring these ideas with them when entering education settings. Some of these ideas, or else mental representations, may not be compatible with what is generally accepted by the scientific community. This paper presents the results…
Descriptors: Science Instruction, Preschool Education, Learning Processes, Water
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Liew, Jeffrey; Erbeli, Florina; Nyanamba, Juliet M.; Li, Danni – Reading Psychology, 2020
Reading competence is one of the main gateways to learning and serves as the foundation for nearly all academic subjects, but reading is not a natural skill. For beginning and struggling readers, the process of learning to read is often fraught with frustration. Thus, abilities to manage affect or emotions and maintain attention or focus (i.e.…
Descriptors: Learning Processes, Self Control, Reading Skills, Reading Motivation
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