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Gheorghe Brani?te – International Society for Technology, Education, and Science, 2023
All the Olympic Movement activities have been set to promote sport, culture and education, drawing inspiration from the physical training practiced by the ancient civilizations in the Middle East and Asia. From the very first evidence of men's interest in training the body through disciplined exercises, 7000 years ago, the spread of sport was…
Descriptors: Physical Fitness, Physical Education, Electronic Learning, Technology Uses in Education
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Frederike Kossack; Eike Uttich; Beate Bender – International Association for Development of the Information Society, 2023
In Engineering Design education, huge numbers of students are a challenge in university teaching, especially since the students have an initially heterogeneous level of technical knowledge, which influences their acquisition of competences. In frontal classroom lectures, individual deficits can hardly be addressed and in self-study phases,…
Descriptors: Engineering Education, Heterogeneous Grouping, College Students, Individualized Instruction
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Hur, Paul; Lee, HaeJin; Bhat, Suma; Bosch, Nigel – International Educational Data Mining Society, 2022
Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…
Descriptors: Artificial Intelligence, Individualized Instruction, College Mathematics, Statistics
Prihar, Ethan; Haim, Aaron; Sales, Adam; Heffernan, Neil – Grantee Submission, 2022
Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Electronic Learning
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Wu, Sirui – International Association for Development of the Information Society, 2020
The usefulness and limitation of Adaptive Hypermedia Learning System (AHLS) using Learning Style as an adaptor has been long discussed, and many empirical studies show the system can help students increase their academic performance comparing with the traditional classroom learning, but these studies were based on different subjects and…
Descriptors: Meta Analysis, Hypermedia, Cognitive Style, Academic Achievement
Ethan Prihar; Manaal Syed; Korinn Ostrow; Stacy Shaw; Adam Sales; Neil Heffernan – Grantee Submission, 2022
As online learning platforms become more ubiquitous throughout various curricula, there is a growing need to evaluate the effectiveness of these platforms and the different methods used to structure online education and tutoring. Towards this endeavor, some platforms have performed randomized controlled experiments to compare different user…
Descriptors: Educational Trends, Electronic Learning, Educational Experience, Educational Experiments
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Ethan Prihar; Manaal Syed; Korinn Ostrow; Stacy Shaw; Adam Sales; Neil Heffernan – International Educational Data Mining Society, 2022
As online learning platforms become more ubiquitous throughout various curricula, there is a growing need to evaluate the effectiveness of these platforms and the different methods used to structure online education and tutoring. Towards this endeavor, some platforms have performed randomized controlled experiments to compare different user…
Descriptors: Educational Trends, Electronic Learning, Educational Experience, Educational Experiments
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Lamia, Mahnane; Ouissem, Benmesbah; Mohamed, Hafidi – International Association for Development of the Information Society, 2018
In technology-enhanced learning (Tel), the use of mobile applications is increasing, which improves learning experiences, allowing learners to carry out daily activities anytime and anywhere. However learners might lose interest and motivation to learn using their mobile devices if content adaptation and learning personalization processes are not…
Descriptors: Electronic Learning, Handheld Devices, Individualized Instruction, Media Adaptation
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Kwak, Seok Joo; Mondisa, Joi-Lynn – International Association for Development of the Information Society, 2021
Open-access online courses, called massive open online courses (MOOCs), have received much attention from higher education institutions and course designers for their potential to reshape learning opportunities. Among the challenges in learning from MOOCs or in an online setting is that students may have insufficient prerequisite knowledge about…
Descriptors: Engineering Education, Undergraduate Students, Individualized Instruction, Educational Technology
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Thomas Qiao; Brenda McDermott; Jennifer E. Thannhauser – Papers on Postsecondary Learning and Teaching, 2024
Responses to the transition to online learning during the pandemic underscores the importance of faculty engagement in professional development (PD) to enhance their teaching practices. However, the creation and offering of PD opportunities does not always lead to faculty engagement. Using a change management perspective (the ADKAR framework),…
Descriptors: Faculty Development, Learner Engagement, Teaching Methods, Facility Improvement
Prihar, Ethan; Patikorn, Thanaporn; Botelho, Anthony; Sales, Adam; Heffernan, Neil T. – Grantee Submission, 2021
As more educators integrate their curricula with online learning, it is easier to crowdsource content from them. Crowdsourced tutoring has been proven to reliably increase students' next problem correctness. In this work, we confirmed the findings of a previous study in this area, with stronger confidence margins than previously, and revealed that…
Descriptors: Electronic Publishing, Group Experience, Tutoring, Individualized Instruction
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Dieter, Kevin C.; Studwell, Jamie; Vanacore, Kirk P. – International Educational Data Mining Society, 2020
Educators are increasingly embracing personalization in online and blended learning programs as a means of focusing students' investment of time and energy into learning plans that are best tailored to their individual needs. When personalized learning tools are deployed into structured learning environments like schools, however, educators and…
Descriptors: Individualized Instruction, Student Behavior, Time Management, Reading Programs
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Mohamed, Fahim; Abdeslam, Jakimi; Lahcen, El Bermi – International Association for Development of the Information Society, 2017
Virtual Environments for Training (VET) are useful tools for visualization, discovery as well as for training. VETs are based on virtual reality technique to put learners in training situations that emulate genuine situations. VETs have proven to be advantageous in putting learners into varied training situations to acquire knowledge and…
Descriptors: Virtual Classrooms, Learning Activities, Individualized Instruction, Computer Simulation
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Lane, Mathew; Hui, Wendy; Murcia, Karen; Wongthongtham, Pornpit – International Association for Development of the Information Society, 2019
This article is an exploratory analysis and comparison of the demographic distributions of data collected from the 2016 New Coder Survey, with that obtained from the Integrated Postsecondary Education Data System (IPEDS). In comparing the data sets, the findings suggest that overall females were more likely to engage in online self-paced coding…
Descriptors: Electronic Learning, Coding, Computer Science Education, Postsecondary Education
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Baker, Ryan; Ma, Wei; Zhao, Yuxin; Wang, Shengni; Ma, Zhenjun – International Educational Data Mining Society, 2020
With the development of personalized learning in technological platforms, more data and information are given to instructors on what contents are appropriate for a learner's next step, with an aim of helping them support their students in navigating an optimized learning path that can promote an enhanced learning outcome. In this study, we…
Descriptors: Individualized Instruction, Electronic Learning, Learning Theories, Cognitive Development
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