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Malone, Kathy L. – Science Education, 2023
The use of scientific modeling has been shown to be highly effective in the learning of science content in multiple disciplines for non-English Learners (EL). However, the benefits of using this pedagogy with ELs have not been heavily explored. This article discusses the use of modeling-based evolution and population ecology pedagogical units in a…
Descriptors: Teaching Methods, Science Instruction, Inquiry, Biology
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Demir, Aysegül; Namdar, Bahadir – Research in Science Education, 2021
This research investigated the effect of modeling activities on grade 5 students' informal reasoning about a real-life issue. An instrumental case study was conducted with 17 students (7 female and 10 male) at a public middle school in Turkey. Data were collected through semistructured interviews and student worksheets. The students' informal…
Descriptors: Learning Activities, Grade 5, Thinking Skills, Foreign Countries
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Abbad, Muneer M. M. – Education and Information Technologies, 2021
Research on information systems has identified a variety of factors across a range of adoption models that determine their acceptance. In this research, the unified theory of acceptance and use of technology (UTAUT), which integrates determinants across eight models, was utilised to analyse students' intentions to use and their actual usage of…
Descriptors: Developing Nations, Foreign Countries, Electronic Learning, Intention
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Sinha, Ruchi; Stothard, Christina – Learning Organization, 2021
Purpose: This paper aims to clarify under which conditions, and via what mechanisms, power asymmetry is likely to affect team learning. This work is part of a two-paper series. Part I presents the theoretical arguments linking power asymmetry to team learning via egalitarianism and the moderating role of environmental hardship. In Part II, the…
Descriptors: Power Structure, Cooperative Learning, Teamwork, Environmental Influences
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Nicol, David – Assessment & Evaluation in Higher Education, 2021
Students generate internal feedback by comparing their current knowledge against some reference information. That information might be planned for by teachers -- usually as comments on students' performance -- although most information is accessed by students themselves during task engagement, from their interactions with others, with resources…
Descriptors: Feedback (Response), Comparative Analysis, Models, Learning
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MacLellan, Christopher J.; Gupta, Adit – International Educational Data Mining Society, 2021
There has been great progress towards Reinforcement Learning (RL) approaches that can achieve expert performance across a wide range of domains. However, researchers have not yet applied these models to learn expert models for educationally relevant tasks, such as those taught within tutoring systems and educational games. In this paper we explore…
Descriptors: Models, Learning Activities, Relevance (Education), Reinforcement
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Keiding, Tina Bering; Qvortrup, Ane – Higher Education Research and Development, 2018
During the last 20 years, we have witnessed a growing interest in research in teaching, learning and educational development in higher education (HE). The result is that "Higher Education Didactics" has established itself as a research field in its own right. This article explores Higher Education Didactics as a framework for academics'…
Descriptors: Higher Education, Periodicals, Models, Teaching Methods
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Goldin, Ilya; Galyardt, April – Journal of Educational Data Mining, 2018
Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in…
Descriptors: Predictor Variables, Models, Learning Processes, Matrices
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Rezaei-Zadeh, Mohammad; Darwish, Tamer K. – Learning Organization, 2016
Purpose: The purpose of this paper is to provide an integrated framework to indicate which antecedents of absorptive capacity (AC) influence its learning processes, and to propose testing of this model in future work. Design/methodology/approach Relevant literature into the antecedents of AC was critically reviewed and analysed with the objective…
Descriptors: Learning Processes, Transformative Learning, Discovery Learning, Models
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Botelho, Anthony F.; Varatharaj, Ashvini; Patikorn, Thanaporn; Doherty, Diana; Adjei, Seth A.; Beck, Joseph E. – IEEE Transactions on Learning Technologies, 2019
The increased usage of computer-based learning platforms and online tools in classrooms presents new opportunities to not only study the underlying constructs involved in the learning process, but also use this information to identify and aid struggling students. Many learning platforms, particularly those driving or supplementing instruction, are…
Descriptors: Student Attrition, Student Behavior, Early Intervention, Identification
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Arthurs, Leilani A.; Kreager, Bailey Zo – International Journal of Science Education, 2017
Engaging students in active learning is linked to positive learning outcomes. This study aims to synthesise the peer-reviewed literature about "active learning" in college science classroom settings. Using the methodology of an integrative literature review, 337 articles archived in the Educational Resources Information Center (ERIC) are…
Descriptors: Class Activities, Active Learning, College Science, Undergraduate Students
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Sahin, Muhittin; Yurdugül, Halil – International Association for Development of the Information Society, 2017
Learning analytics primarily deals with the optimization of learning environments and the ultimate goal of learning analytics is to improve learning and teaching efficiency. Studies on learning analytics seem to have been made in the form of adaptation engine and intervention engine. Adaptation engine studies are quite widespread, but intervention…
Descriptors: Models, Intervention, Semi Structured Interviews, Electronic Learning
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Al-Maroof, Rana; Al-Qaysi, Noor; Salloum, Said A.; Al-Emran, Mostafa – Technology, Knowledge and Learning, 2022
Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…
Descriptors: Blended Learning, Information Systems, Models, Holistic Approach
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Davoodifard, Mahshad – Studies in Applied Linguistics & TESOL, 2022
While investigating plagiarism is relevant in different fields, verification of original authorship has also attracted attention in academia and L2 learning and assessment contexts. Generally associated with academic misconduct and dishonesty, plagiarism in writing can take many shapes and be hard to detect. In addition to being a very…
Descriptors: Plagiarism, Second Language Learning, Second Language Instruction, Authors
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Hsieh, Ying-Yi; Chen, Chun-Ching; Chen, Wen-Yin – International Journal of Art & Design Education, 2022
The basic design course mainly focuses on training students in their form development ability, including two parts: graphic figure and three-dimensional form. However, in terms of form development, it is not just to create a certain form arbitrarily, but to convey the creator's intention based on this form. For students who are new to the field of…
Descriptors: Higher Education, Design, Teaching Methods, Creativity
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