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Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
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Xueyu Sun; Ting Wang – International Journal of Information and Communication Technology Education, 2024
This study innovates English network teaching by applying a refined Association Rule Mining (ARM) algorithm. It integrates an "interest" parameter into ARM, dynamically adapting content to individual learners' profiles, improving engagement and outcomes. Controlled experiments, spanning diverse online platforms, validate the ARM model's…
Descriptors: Models, Design, Algorithms, Individualized Instruction
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Zirou Lin; Hanbing Yan; Li Zhao – Journal of Computer Assisted Learning, 2024
Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…
Descriptors: Peer Evaluation, Automation, Grading, Models
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Hii, Puong Koh; Goh, Chin Fei; Rasli, Amran; Tan, Owee Kowang – Knowledge Management & E-Learning, 2022
Multicriteria decision-making (MCDM) techniques have been widely adopted to evaluate the effectiveness of e-learning. However, the literature review has not kept pace with the rapid accumulation of knowledge in this field. This study systematically reviews the MCDM techniques applied in e-learning issues. In total, we reviewed 77 published studies…
Descriptors: Electronic Learning, Instructional Effectiveness, Decision Making, Evaluation
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Adamantia Spatioti; Ioannis Kazanidis; Jenny Pange – Turkish Online Journal of Distance Education, 2023
Educational Design and Evaluation Models are important factors in e-learning as they provide guidance information for proper strategy organization pursuing both specific learning outcomes and ensuring the main elements of e-learning, such as self-regulation and collaborative learning. The examined educational models of ADDIE, Bloom, and…
Descriptors: Instructional Design, Evaluation, Models, Electronic Learning
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Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
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Salih Gülen; Ismail Dönmez – Journal of Educational Sciences, 2024
This study investigates the effectiveness of the Toulmin argumentation model in developing critical thinking skills and epistemological beliefs concerning the internet in an online educational setting, especially during the global coronavirus pandemic. The subject of the research was carried out in the "Child Development Department" of a…
Descriptors: Foreign Countries, Critical Thinking, Epistemology, Beliefs
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Mangaroska, Katerina; Vesin, Boban; Kostakos, Vassilis; Brusilovsky, Peter; Giannakos, Michail N. – IEEE Transactions on Learning Technologies, 2021
With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights into learner behavior and the intricacies of the learning process. We argue that combining analytics across different…
Descriptors: Learning Analytics, Electronic Learning, Educational Technology, Instructional Design
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Hartley, Jena R.; Brown, H. Quincy – Online Journal of Distance Learning Administration, 2022
This paper describes the design and development of a competency model for online instructors based on literature reviews, student surveys, and other artifacts. The first development phase included a literature review centered around researched-based competencies for online instructors and existing theories used to evaluate online instructional…
Descriptors: Models, Online Courses, Web Based Instruction, Instructional Design
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Tang, Tao; Abuhmaid, Atef M.; Olaimat, Melad; Oudat, Dana M.; Aldhaeebi, Maged; Bamanger, Ebrahim – Interactive Learning Environments, 2023
Due to the spread of COVID-19 worldwide, a large number of universities had to close their campuses. To maintain teaching and learning during this disruption to the traditional teaching, most universities have adopted online teaching model. The current study aimed at investigating the efficacy of various online teaching modes as well as comparing…
Descriptors: Flipped Classroom, Electronic Learning, COVID-19, Pandemics
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Hamza Polat; Elif Taslibeyaz – Education and Information Technologies, 2024
During the COVID-19 pandemic, there was an increase in the use of online courses, which required improvements in their effectiveness. To address this, the online flipped model was suggested as a solution, and this study aimed to assess the efficacy of using interactive instructional videos within an online flipped course design. The study employed…
Descriptors: Video Technology, Interaction, Flipped Classroom, COVID-19
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Rui Guo – International Journal of Web-Based Learning and Teaching Technologies, 2024
To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and…
Descriptors: Artificial Intelligence, Information Technology, Physical Education, Teaching Methods
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Shimasaki, Suzuho; Brunner Nii, Pamela; Davis, Lisa; Bishop, Erin; Berget, Cari; Perreault, Christine; Thomas, John F. – Journal of School Nursing, 2021
Type I diabetes (T1D) is one of the most common childhood diseases and Type 2 diabetes (T2D) is increasing at alarming rates. Given that children spend a great percentage of their time in school, this setting is a critical environment for models of care that lead to better management of this and other health conditions. The School Nurses Managing…
Descriptors: Diabetes, School Nurses, School Health Services, Models
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Wen-Lung Huang; Liang-Yi Li; Jyh-Chong Liang – Educational Technology & Society, 2024
The purposes of this study were to explore students' learning performance, knowledge construction, and behavioral patterns in computer-supported collaborative learning (CSCL) online discussions with/without using Form+Theme+Context (FTC) model guidance scaffolding in visual imagery education. In the online learning activities, the control group…
Descriptors: Asynchronous Communication, Online Courses, Behavior Patterns, Discussion (Teaching Technique)
Jeremy M. Craft – ProQuest LLC, 2021
The purpose of this study was to test the efficacy of teaching sight-singing to novice, vocal music readers using a structured instructional model through an asynchronous format. Sight-singing literature is inconclusive on definitively best systems, resulting in educators using a variety of methods in the classroom. Research has shown however that…
Descriptors: Asynchronous Communication, Teaching Methods, Instructional Effectiveness, Novices
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