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Nie, Rui; Guo, Qi; Morin, Maxim – Educational Measurement: Issues and Practice, 2023
The COVID-19 pandemic has accelerated the digitalization of assessment, creating new challenges for measurement professionals, including big data management, test security, and analyzing new validity evidence. In response to these challenges, "Machine Learning" (ML) emerges as an increasingly important skill in the toolbox of measurement…
Descriptors: Artificial Intelligence, Electronic Learning, Literacy, Educational Assessment
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Du, Hanxiang; Xing, Wanli – Distance Education, 2023
Online discussion forums are highly valued by instructors due to their affordance for understanding class activities and learning. However, a discussion forum with a great number of posts requires a large amount of time to view, and help requests are easily overlooked. Various machine-learning--based tools have been developed to help instructors…
Descriptors: Computer Mediated Communication, Discussion Groups, Classification, Identification
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Ma, Hua; Huang, Zhuoxuan; Tang, Wensheng; Zhu, Haibin; Zhang, Hongyu; Li, Jingze – IEEE Transactions on Learning Technologies, 2023
To provide intelligent learning guidance for students in e-learning systems, it is necessary to accurately predict their performance in future exams by analyzing score data in past exams. However, existing research has not addressed the uncertain and dynamic features of students' cognitive status, whereas these features are essential for improving…
Descriptors: Prediction, Student Evaluation, Performance, Tests
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Jolley, Daniel; Davis, Melissa; Lavender, Andrew P.; Roberts, Lynne – Studies in Continuing Education, 2022
Personal trainers are a popular source of exercise guidance for the public but have been shown to have fundamental errors in their knowledge, and hold misconceptions about some exercise and nutritional concepts. Critical thinking skills have been found to relate inversely to misconceptions in other populations but this has not been examined in…
Descriptors: Electronic Learning, Critical Thinking, Misconceptions, Training
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Muhammad Turmuzi; I Gusti Putu Suharta; I Wayan Puja Astawa; I Nengah Suparta – Journal of Technology and Science Education, 2024
The purpose of this study is to comprehensively describe the results of the analysis of the ability to understand concepts and misconceptions in terms of differences in learning styles, as well as gender differences. The data to be collected in this study is in the form of primary data and secondary data. The primary data is obtained from primary…
Descriptors: Misconceptions, Cognitive Style, Gender Differences, Educational Technology
Karen T. Arnesen – ProQuest LLC, 2024
This dissertation uses a three-article dissertation, including a literature review and two research articles, related to the understanding and development of self-regulation (SR).Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), the literature review examined 22 articles researching a self-regulation…
Descriptors: Self Control, Self Management, Independent Study, Secondary Education
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Ozdemir, Ertugrul – Journal of Science Learning, 2022
Before taking formal science education, learners usually construct preconceptions based on their daily life experiences, many of which are scientifically unacceptable misconceptions. In formal science learning, new concepts often contradict these misconceptions. To correct a misconception, it is first needed to create dissatisfaction about it by…
Descriptors: Animation, Cartoons, Cognitive Processes, Electronic Learning
Devanshi S. Unadkat – ProQuest LLC, 2022
My dissertation seeks to explore opportunities for disruptions--moments of learning in (digitally) networked spaces that seek to challenge, subvert, and reimagine our worlds. Drawing primarily on sociocultural theories of literacy and learning, I explore the ways that learning, mediated by digital technologies, takes place in formal and informal…
Descriptors: Electronic Learning, Educational Technology, Critical Literacy, Digital Literacy
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Johnson, David; Cox, Jennifer – Online Journal of Distance Learning Administration, 2020
This article examines the use of the phrase "best practices" in academic literature that discusses online learning. Results of our study indicate that, despite the ubiquity of this phrase in academic literature concerning online pedagogy, the majority of articles lack empirical support for promoting certain approaches as "best…
Descriptors: Best Practices, Electronic Learning, Online Courses, Misconceptions
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Pretorius, Rudi Wessel; Anderson, Ryan; Khotoo, Anisa; Pienaar, Richelle – International Journal of Sustainability in Higher Education, 2019
Purpose: This paper aims to reflect on approaches through which open, distance and e-learning (ODeL) students can use their local environments for assessments and explores how this shapes their conceptualisations of "university" and "campus". Key issues and lessons learnt are covered, thus providing pointers for implementation…
Descriptors: Foreign Countries, Undergraduate Students, Sustainability, Learning Experience
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Karaca Salgamcioglu, Berrak; Genç, Irem – Design and Technology Education, 2021
Design and architecture students who have started university in 2020, unlike the students before, attended virtual studios without experiencing the physical studio environment. The vast majority of them attended classes from their rooms or living rooms of their homes in different cities and tried to meet the requirements of the courses. Their…
Descriptors: Studio Art, Design, College Freshmen, Misconceptions
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Halim, Abdul; Mahzum, Elmi; Yacob, Muhammad; Irwandi, Irwandi; Halim, Lilia – Education Sciences, 2021
Physics learning in universities utilized the Moodle-based e-learning media as an online learning platform. However, the effectiveness of remediating misconception using online media has not been widely researched. Therefore, this study was set to determine the level of misconception percentage reduction through the use of narrative feedback, the…
Descriptors: Feedback (Response), Electronic Learning, Learning Modules, Video Technology
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Ironsi, Chinaza Solomon – International Journal of Information and Learning Technology, 2022
Purpose: This study intends to examine these misconceptions in a bid to reaching a valid conclusion. More importantly, this study intends to elicit information from instructors and preservice teachers on their experiences, successes and challenges on the sudden switch from flipped classroom to emergency remote online teaching.…
Descriptors: Flipped Classroom, Distance Education, Electronic Learning, Emergency Programs
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Gokkurt-Ozdemir, Burcin; Yildiz-Durak, Hatice; Karaoglan-Yilmaz, Fatma Gizem; Yilmaz, Ramazan – Informatics in Education, 2021
The purpose of this study was to investigate the effect of digital concept cartoons and maps in eliminating misconceptions of secondary school students. The research was conducted with 67 students who were studying at three different branches of 7th grade of secondary school. The research was conducted according to semi-experimental design with…
Descriptors: Concept Mapping, Cartoons, Electronic Learning, Teaching Methods
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W. Russ Algar; Noureddine Elouazizi; Jaclyn J. Stewart; E. Jane Maxwell; Tanya Tan; Zuxing Zhang; Robin Stoodley; José R. Rodríguez Núñez; Andrea S. Terpstra; Jason G. Wickenden – Journal of Chemical Education, 2022
To develop expertise, novice chemistry students require deliberate practice with immediate and thoughtful feedback. Whereas opportunities for practice are often abundant, opportunities for feedback tend to be much scarcer. To address this challenge, we collaborated with students to develop a flexible and scalable online platform called…
Descriptors: Active Learning, Individualized Instruction, Chemistry, Educational Technology
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