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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
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
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
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
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
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
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
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
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
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
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
Isaiah T. Awidi; Mark Paynter – Technology, Knowledge and Learning, 2024
In this paper we report on a study of the impact of digital technology (DT) innovations on students' learning in a Western Australian University. The innovations were implemented by 42 course coordinators (CC) following two days of learning design workshops. In collaboration with nine CCs, we conducted an evaluation of their innovations. Data were…
Descriptors: Foreign Countries, Electronic Learning, Influence of Technology, Outcomes of Education
Seda Özer Sanal; Büsra Çiçek – British Journal of Educational Technology, 2024
In addition to learning effectively and effectively in online learning communities (OLCs), students must be in a secure environment and privacy must be respected. The study aimed to identify privacy violations that university students encounter in OLCs, and identify recommendations and some strategies to implement to ensure privacy at the OLC. A…
Descriptors: Communities of Practice, Electronic Learning, Privacy, College Students
Karol Lisette Rueda-Gómez; Luis J. Rodríguez-Muñiz; Laura Muñiz-Rodríguez – Education and Information Technologies, 2024
The goal of this research is to analyze the factors that mediate the success of the use of online learning support platforms, based on the perceptions of a focus group of university professors, with a qualitative methodological approach. The sample consisted of 11 mathematics professors who taught three subjects to 9 240 incoming students, during…
Descriptors: Educational Technology, College Faculty, Mathematics Teachers, Teacher Attitudes

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