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Imdadullah Hidayat-Ur-Rehman – Interactive Technology and Smart Education, 2024
Purpose: The integration of digital technologies into education has brought about a profound transformation, fundamentally reshaping the learning landscape. The purpose of this study is to underscore the importance of investigating the factors influencing students' engagement (SE) in this evolving digital era, particularly within formal digital…
Descriptors: Learner Engagement, Handheld Devices, Telecommunications, Personal Autonomy
Stephanie Annette Sandwell – ProQuest LLC, 2024
This study was designed to explore the impact of professional development in Professional Learning Communities (PLCs) of secondary mathematics teachers using The DuFour PLC model in one Southeast Texas School District. Descriptive statistics were compiled based on survey data from 19 participants. Internal consistency reliability was analyzed…
Descriptors: Mathematics Instruction, Communities of Practice, School Districts, Faculty Development
Audrey Kate Eagle – ProQuest LLC, 2024
This dissertation in practice investigated and addressed the issue of low faculty engagement with instructional design support (IDS) office support services at a regional comprehensive university in the United States. The Performance Improvement/Human Performance Technology (PI/HPT) model used in this study is a practitioner-based performance…
Descriptors: Instructional Design, Universities, College Faculty, Models
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Jessica M. Karch; Sedrah Mashhour; Micah P. Koss; Ira Caspari-Gnann – International Journal of STEM Education, 2024
Background: The learning assistant (LA) model supports student success in undergraduate science courses; however, variation in outcomes has led to a call for more work investigating how the LA model is implemented. In this research, we used cultural historical activity theory (CHAT) to characterize how three different instructors set up…
Descriptors: Teaching Assistants, Goal Orientation, Teaching Methods, Context Effect
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Michael Agyemang Adarkwah – Adult Learning, 2025
Adult learners are a neglected species in the generative artificial intelligence (GenAI) era. The sweeping changes brought by GenAI in the educational arena have implications for adult learning. GenAI in education will usher in a world of adult learning that will be radically different from its predecessor. However, how adult learners will apply…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Adult Learning
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Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
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Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
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Muhtar Muhtar; Suryanti Suryanti; Bachtiar Sjaiful Bachri; Khusnul Mila; Ayil Qoimatul Laili; Eka Yuliaturosida; Isnaini Nur Siyam – Educational Process: International Journal, 2025
Background/purpose: This analysis aims to determine the mapping of the application of the project-based learning (PjBL) model to design learning needs according to the learning environment in vocational high schools (VHS). Research trends of PjBL in vocational schools, subject mapping of PjBL, opportunities for appropriate PjBL studies, and…
Descriptors: Active Learning, Student Projects, Program Implementation, Models
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Nicolas Van Vlasselaer; Jona Van den Broeck; Ben Serrien; Erik Cattrysse – Anatomical Sciences Education, 2025
Integration of 3D photogrammetry models into anatomical education can enhance students' understanding of complex anatomical structures. With advancements in photogrammetry technology, this integration has become more accessible. Interactive, photorealistic models complement traditional methods such as donor dissections. This study evaluates the…
Descriptors: Technology Uses in Education, Technology Integration, Computer Simulation, Photography
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Zakaria Tagdimi; Souhaib Aammou; Marina Sounoglou – International Association for Development of the Information Society, 2025
Personalization is often perceived as a technical problem in the context of digital education. However, it is also a cognitive challenge, requiring an understanding of how learners process information. This study presents a cognitive-based recommendation model designed and tested within the Master's program in E-learning and Intelligent…
Descriptors: Artificial Intelligence, Models, Masters Programs, Foreign Countries
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Sung, Min-Chang; Kim, Hyunwoo – Second Language Research, 2022
How strongly a verb is associated with a construction plays a crucial role in the learning of argument structure constructions. We examined the effect of verb-construction association strength on second language (L2) constructional generalization by analysing L2 learners' production and comprehension of two complex constructions (i.e. ditransitive…
Descriptors: Language Processing, Verbs, Generalization, Task Analysis
Maria-Dorinela Dascalu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2022
The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…
Descriptors: Computational Linguistics, Longitudinal Studies, Technology Uses in Education, Teaching Methods
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Kazempour, Mahsa; Amirshokoohi, Aidin; Blamey, Katrin – European Journal of Science and Mathematics Education, 2020
Studies focusing on pre-service teachers have shown that the inclusion of the learning cycle model in a methods course result in improvement in understanding of and attitude toward the learning cycle model of inquiry. However, pre-service teachers' understanding and beliefs about the learning cycle model may remain varied and inaccurate and their…
Descriptors: Theory Practice Relationship, Preservice Teacher Education, Preservice Teachers, Models
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Yao, Mengfan; Sahebi, Shaghayegh; Behnagh, Reza Feyzi – International Educational Data Mining Society, 2020
Student procrastination, as the voluntary delay of intended work despite expecting to be worse off for the delay, is an important factor with potentially negative consequences in student well-being and learning. In online educational settings such as Massive Open Online Courses (MOOCs), the effect of procrastination is considered to be even more…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Study Habits
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Turan, Serife; Matteson, Shirley M. – International Journal of Education in Mathematics, Science and Technology, 2021
The 5E instructional model is known for increasing student engagement and participation in the learning process. While viewing the video recorded lessons of middle school mathematics teachers, the researchers noticed teachers had a difficult time implementing the 5E model with fidelity. This case study explored the extent to which mathematics…
Descriptors: Mathematics Instruction, Secondary School Mathematics, Middle School Students, Learner Engagement
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