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Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
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Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
Stephanie Mahal – ProQuest LLC, 2024
The purpose of this study was to replicate Reeve et al., (2023) by applying the newly proposed tripartite model of self-determination theory (SDT to the context of higher education. The study also investigated the validity of the "Three State Questionnaire" (TSQ) as a measurement tool in higher education. The study consisted of 521 first…
Descriptors: Self Determination, Undergraduate Students, Validity, Teaching Styles
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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Anthony G. Picciano – Routledge, Taylor & Francis Group, 2025
"Online Education" is a comprehensive exploration of fully online and blended teaching platforms, addressing history, theory, research, planning, and practice. As colleges, universities, and schools around the world accelerate their adoption of large-scale technologies and traditional class models shift into seamless, digitally…
Descriptors: Electronic Learning, Online Courses, Educational Planning, Educational Practices
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C. M. Dubay; Melanie B. Richards – Marketing Education Review, 2024
Artificial intelligence (AI) has revolutionized various aspects of teaching and learning in higher education, with the potential to significantly enhance learning experiences, streamline administrative tasks, and foster personalized education. As the use of AI by students and instructors expands, it is crucial to carefully consider both its…
Descriptors: Artificial Intelligence, Student Projects, Active Learning, Technology Uses in Education
Kim, Peter – ProQuest LLC, 2022
While language aptitude and motivation are considered to be important contributors to second language (L2) attainment, two major gaps in the past research have been (1) a lack of nonlinear models stemming from a naive and tacit assumption that learning outcomes are linearly related to their predictors, and (2) a lack of unified and integrative…
Descriptors: Second Language Learning, Second Language Instruction, Language Aptitude, Learning Motivation
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Ramos, David Brito; Ramos, Ilmara Monteverde Martins; Gasparini, Isabela; Teixeira de Oliveira, Elaine Harada – International Journal of Distance Education Technologies, 2021
This work presents a new approach to the learning path model in e-learning systems. The model uses data from the database records from an e-learning system and uses graphs as representation. In this work, the authors show how the model can be used to represent visually the learning paths, behavior analysis, help to suggest group formation for…
Descriptors: Electronic Learning, Models, Graphs, Integrated Learning Systems
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Amjad Almusaed; Asaad Almssad; Marisol Rico Cortez – International Society for Technology, Education, and Science, 2023
This article overviews a new teaching method from COVID-19. It uses multimedia resources and more traditional classroom activities together. The course focuses on the benefits of using online parts of hybrid learning in addition to in-person instruction. The benefits of such learning include more opportunities for contact with classmates,…
Descriptors: Learner Engagement, Blended Learning, COVID-19, Pandemics
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Wellhofer, Larissa; Luhken, Arnim – Journal of Chemical Education, 2022
Problem-based learning (PBL) is an acclaimed educational concept for laboratory teaching in chemistry, which significantly affects learner motivation. A central aim of PBL is to overcome educational problems with "cook-book" laboratories. For example, when students receive experimental instructions and apply the instructions similar to…
Descriptors: Problem Based Learning, Introductory Courses, Inorganic Chemistry, Learning Motivation
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Peters, Mitchell; Guitert-Catasús, Montse; Romero, Marc – Higher Education Research and Development, 2022
As individuals face the challenge of rapidly changing and increasingly diversified study and work environments, online higher education (OHE) has become a mainstream solution for pre-service teachers and working professionals. Both universities and students have had to navigate connected, collaborative and globally networked learning scenarios.…
Descriptors: Higher Education, Electronic Learning, Lifelong Learning, Educational Research
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Benjakul, Sueksa – Journal of Educators Online, 2023
Teachers use instructional design to solve problems and creatively develop and implement various concepts, theories, and techniques to design and manage the elements of teaching and learning and assess learning outcomes that are generally accepted according to Bloom's taxonomy, in which the cognitive domains of lower-order thinking connect to…
Descriptors: Instructional Design, Constructivism (Learning), Thinking Skills, Electronic Learning
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Aylward, Ronald C.; Cronjé, Johannes C. – Educational Technology Research and Development, 2022
The pedagogical paradigms of Direct instruction (behaviorism/objectivism) and Constructivism are often seen as opposing paradigms at the ends of an instructional design continuum. Unfortunately, this view makes the two approaches mutually exclusive. Designers must use the one at the expense of the other. A previous study proposed that the two…
Descriptors: Instructional Design, Behaviorism, Constructivism (Learning), Mastery Learning
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Hui-Tzu Chang; Chia-Yu Lin – IEEE Transactions on Education, 2024
Contribution: This study incorporates competition-based learning (CBL) into machine learning courses. By engaging students in innovative problem-solving challenges within information competitions, revealing that students' participation in online problem-solving competitions can improve their information technology, and showcase competitions can…
Descriptors: Competition, Artificial Intelligence, Curriculum, Problem Solving
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Denis Dumas; James C. Kaufman – Educational Psychology Review, 2024
Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…
Descriptors: Decision Making, Creativity, Task Analysis, Psychologists
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