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Showing 1 to 15 of 27 results Save | Export
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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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Rathnasekara, Kushan; Suraweera, Namali; Yatigammana, Kaushalya – Asian Association of Open Universities Journal, 2023
Purpose: The paper aims to clarify the relationship between perceived contextual issues and the self-efficacy beliefs of the employees with e-learning engagement for their competency development. It proposes a model for the banks to utilize their e-learning interventions more effectively by managing the identified contextual issues.…
Descriptors: Self Efficacy, Banking, Employee Attitudes, Social Cognition
Antionette Marie Stith – ProQuest LLC, 2024
In cyber charter schools, middle-school students face many barriers to developing STEM identity. My theory of improvement was to address sense of belonging in a large virtual classroom to develop STEM identity in my students. By utilizing diverse STEM role models that reflected my students' racial or ethnic identities and an inquiry-based approach…
Descriptors: STEM Education, Role Models, Self Concept, Charter Schools
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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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Patience Atukunda; Simon Peter Khabusi; John Othieno – Discover Education, 2024
This study investigates user satisfaction with e-learning systems in higher education institutions, examining the perspectives of students, lecturers, and elearning officers and heads of the department of Information Technology as key informants. A total of 375 student respondents from Diploma, Bachelor, and Masters levels, 51 lecturers, and 15…
Descriptors: Electronic Learning, Access to Education, Usability, Internet
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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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Roberts, Nicky; Spencer-Smith, Garth – South African Journal of Childhood Education, 2019
Background: There has been little Southern African research attention on the potentials of m-learning to support quality mathematics learning for young children and their caring adults. This article argues that m-learning research has shifted from claims of being promising to claims of effect in educational settings of both classrooms and homes.…
Descriptors: Electronic Learning, Models, Intervention, Mathematics Instruction
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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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Lyashevsky, Ilya; Cesarano, Melissa; Black, John – American Educational Research Journal, 2020
Social emotional learning (SEL) is an increasingly important area of study that aims to develop skills critical for healthy social functioning. Despite SEL's growing ubiquity, little attention has been paid to how to achieve SEL knowledge transfer. One promising approach is to teach a model of the emotion system. A randomized control study was…
Descriptors: Social Development, Emotional Development, Empathy, Emotional Response
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Direito, Artur; Walsh, Deirdre; Hinbarji, Moohamad; Albatal, Rami; Tooley, Mark; Whittaker, Robyn; Maddison, Ralph – Health Education & Behavior, 2018
Few interventions to promote physical activity (PA) adapt dynamically to changes in individuals' behavior. Interventions targeting determinants of behavior are linked with increased effectiveness and should reflect changes in behavior over time. This article describes the application of two frameworks to assist the development of an adaptive…
Descriptors: Intervention, Health Education, Physical Activity Level, Health Behavior
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Ownby, Raymond; Acevedo, Amarilis; Waldrop-Valverde, Drenna – Quarterly Review of Distance Education, 2019
A number of studies have shown that health literacy is an important factor in a variety of health status indicators and outcomes. Low health literacy differentially affects minorities and older adults, but can be addressed through effective educational interventions. Even when provided in groups, however, these interventions can reach only a small…
Descriptors: Health Promotion, Health Education, Intervention, Educational Strategies
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Rienties, Bart; Boroowa, Avinash; Cross, Simon; Kubiak, Chris; Mayles, Kevin; Murphy, Sam – Journal of Interactive Media in Education, 2016
There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…
Descriptors: Open Universities, Foreign Countries, Intervention, Models
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Noesgaard, Signe Schack – Interactive Technology and Smart Education, 2016
Purpose: The paper aims to discuss the effectiveness of e-Learning in advancing work practices. The paper investigates the assumption that e-Learning is as effective as face-to-face interventions when stimulating change. It also examines the assumption that well-designed and well-executed instructional interventions will advance work practices.…
Descriptors: Electronic Learning, Educational Technology, Teaching Methods, Conventional Instruction
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Govan, Michelle – Higher Education Pedagogies, 2016
The field of digital forensics requires a multidisciplinary understanding of a range of diverse subjects, but is interdisciplinary (in using principles, techniques and theories from other disciplines) encompassing both computer and forensic science. This requires that practitioners have a deep technical knowledge and understanding, but that they…
Descriptors: Peer Teaching, Criminology, Crime, Electronic Learning
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Magen-Nagar, Noga; Shonfeld, Miri – Interactive Learning Environments, 2018
This quantitative research examined the contribution of an Online Collaborative Learning (OCL) program on attitudes towards technology in terms of technological anxiety, self-confidence and technology orientation among M.Ed. students. The advanced online collaborative program was implemented at two teacher training colleges in Israel for a period…
Descriptors: Electronic Learning, Cooperative Learning, Statistical Analysis, Anxiety
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