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Krystle Phirangee; Jim Hewitt – Distance Education, 2025
Many different factors influence students' sense of belonging in an online learning. One area of the learning experience in which a sense of "belonging" is critical is in online asynchronous discussions, and the degree to which students feel that their contributions to those discussions are valued. Unfortunately, the structure of…
Descriptors: Sense of Belonging, Electronic Learning, Student Attitudes, Discussion (Teaching Technique)
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Dana Gnesdilow; Sadhana Puntambekar – Science Education, 2025
Even though virtual labs help students learn science content, little is known about how well students can later apply this learning to other contexts or tasks when compared to students who performed physical labs. The goal of this study was to understand how students who perform physical versus virtual labs were able to later apply what they learn…
Descriptors: Middle School Students, Laboratories, Science Instruction, Grade 7
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Leonid Chernovaty; Natalia Kovalchuk – Advanced Education, 2025
The objective of this article is to examine the most effective and expedient methods for identifying instances of hidden machine translation (MT) usage by student translators in their translation assignments and examinations. Additionally, the article aims to propose a system of incentives to reduce students' reliance on MT. This initiative was…
Descriptors: Computational Linguistics, Translation, Educational Technology, Technology Uses in Education
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Ji-Eun Lee; Erin Ottmar; Jenny Yun-Chen Chan; Lauren Decker-Woodrow; Barbara Booker – Learning Environments Research, 2025
This study investigated (1) how students and their families' choices of learning modality differed by student demographics, (2) how much movement (i.e. learning modality changes) occurred during the pandemic school year, and (3) the mediating effect of movement on the relation between initial learning modality choices and students' mathematics…
Descriptors: Student Characteristics, COVID-19, Pandemics, Grade 7
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Joyce Hwee Ling Koh; Ben Kei Daniel; Rui Ma; Anjin Hu; Patrick Mazzocco – Asia-Pacific Education Researcher, 2025
Competent online learners have dexterity as they can manoeuvre a wide range of learning technologies and online learning strategies to learn successfully. In this study, we approach university students' online learning competence as 'online learning dexterity' or an ability to manage different aspects of online learning with appropriate…
Descriptors: Electronic Learning, Distance Education, College Students, Learning Strategies
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Lili Chen; Jun Li; Ying Pan; Sun-Yu Gao – Asia-Pacific Education Researcher, 2025
Online student engagement plays a very essential role in the improvement of academic achievements. However, the role of school support in the relationship between online student engagement and academic achievements remain uncertain; whether its impact was different during and after the COVID-19 pandemic is also still being determined. Therefore,…
Descriptors: Learner Engagement, Academic Achievement, COVID-19, Pandemics
Raphaëlle Aulagnon; Julian Cristia; Santiago Cueto; Ofer Malamud – National Bureau of Economic Research, 2025
We examine whether highlighting streaks--instances of repeated and consecutive behavior when completing learning tasks--encourages 4th to 6th grade students in Peru to increase their use of an online math platform and improve learning. 60,000 students were randomly assigned to receive messages that (i) highlighted streaks, (ii) provided…
Descriptors: Foreign Countries, Student Behavior, Grade 4, Grade 5
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Yingbin Zhang; Luc Paquette; Nigel Bosch – International Journal of Artificial Intelligence in Education, 2025
Understanding the transitions among affective states during computer-based learning may guide the design of affect-responsive learning environments. Current studies have focused on the marginal strength of an affect transition, which is the average transition tendency over possible affective states preceding the transition. However, marginal…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Learning Experience
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John Michael D. Aquino; Leah E. Perez – Journal of Learning for Development, 2025
Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…
Descriptors: Teacher Educators, Teacher Attitudes, Artificial Intelligence, Computer Uses in Education
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Matthew Bunn; Matt Lumb – Australian Educational Researcher, 2025
Higher education study has become more accessible to rural places through the development of stronger technologies, interfaces and pedagogy for online study. However, while these have made higher education more accessible, they also overlook the substantial impact that social circumstances and resources have on the means to meaningfully…
Descriptors: College Students, Student Attitudes, Electronic Learning, Context Effect
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Malte Michelsen; Jorge Groß – Journal of Biological Education, 2025
Dealing with students' conceptions is a central element of student-oriented teaching. Approaches, such as the mainly cognitive conceptual change theory, have been supplemented by a variety of affective and motivational factors. Little is yet known about the mechanism linking these factors. This qualitative study aims to shed light on the process…
Descriptors: Peer Relationship, Interaction, Cooperative Learning, Concept Formation
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Ishfaq Majid; Y. Vijaya Lakshmi – Online Submission, 2024
The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…
Descriptors: Electronic Learning, Models, Readiness, Content Analysis
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Gary A. Olson; Heather Lynn Johnson; Rebecca Robinson; Robert Knurek; Kristin A. Whitmore – PRIMUS, 2024
Inverse and injective functions are topics in most college algebra courses. Yet, current materials and course structures may not afford students' conceptual understanding of these important ideas. We describe how students' work with digital activities, "techtivities," linking two different looking graphs that represent relationships…
Descriptors: College Mathematics, Algebra, Mathematics Instruction, Mathematical Concepts
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Ziene Mottiar; Greg Byrne; Geraldine Gorham; Emma Robinson – European Journal of Higher Education, 2024
The COVID-19 pandemic resulted in a rapid pivot to online learning across many higher education institutions globally. This paper investigates to what extent assessment strategies changed as a result of this pivot. It explores the case of Technological University Dublin (TU Dublin) in Ireland and finds that 95% of respondents altered their…
Descriptors: COVID-19, Pandemics, Electronic Learning, Foreign Countries
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Pamela Liebig; Viviane Filor; Mariana Scheumann; Martina Buchholz; Klaus Jung – Technology, Knowledge and Learning, 2024
Many academic teachers present data as static graphics in their lectures and courses. However, data structures have become more complex in the last decades, especially in the biomedical disciplines, and interactive graphics can provide a better means to communicate the scientific contents to students. Besides, the technological qualifications of…
Descriptors: Medicine, Natural Sciences, Workshops, Computer Graphics
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