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Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
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Bacca-Acosta, Jorge; Fabregat, Ramon; Baldiris, Silvia; Kinshuk; Guevara, Juan – Journal of Computer Assisted Learning, 2022
Background: Mobile-based assessment has been an active area of research in the field of mobile learning. Prior research has demonstrated that mobile-based assessment systems positively affect student performance. However, it is still unclear why and how these systems positively affect student performance. Objectives: This study aims to identify…
Descriptors: Academic Achievement, Electronic Learning, Handheld Devices, Computer Assisted Testing
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Al-Zohbi, Gaydaa; Pilotti, Maura A. E.; Barghout, Kamal; Elmoussa, Omar; Abdelsalam, Hanadi – Journal of Computer Assisted Learning, 2023
Background: Valuable safeguards against fast-spreading conjectures about learning in times of fear and uncertainty are evidence-based approaches to the assessment of the impact of sudden and unforeseen disruptions on learning practices. The present research focused on physics learning in such times because conceptual and computational literacy in…
Descriptors: COVID-19, Pandemics, Physics, Science Education
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Veugen, Maria Joanna; Gulikers, Judith Theresia Maria; den Brok, Perry – Journal of Computer Assisted Learning, 2022
Introduction: During the COVID-19 lockdown in 2020, teachers had to shift their teaching and assessment to online. Formative assessment (FA) can help teachers to engage, guide and monitor students' (online) learning. However, more knowledge is needed of how teachers could use the full FA process online. Methods: In this study data from 50…
Descriptors: Secondary School Teachers, Formative Evaluation, Student Evaluation, Electronic Learning
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Joshua Weidlich; Aron Fink; Ioana Jivet; Jane Yau; Tornike Giorgashvili; Hendrik Drachsler; Andreas Frey – Journal of Computer Assisted Learning, 2024
Background: Developments in educational technology and learning analytics make it possible to automatically formulate and deploy personalized formative feedback to learners at scale. However, to be effective, the motivational and emotional impacts of such automated and personalized feedback need to be considered. The literature on feedback…
Descriptors: Emotional Response, Student Motivation, Feedback (Response), Automation
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Hewson, C. – Journal of Computer Assisted Learning, 2012
To address concerns raised regarding the use of online course-based summative assessment methods, a quasi-experimental design was implemented in which students who completed a summative assessment either online or offline were compared on performance scores when using their self-reported "preferred" or "non-preferred" modes.…
Descriptors: Summative Evaluation, Followup Studies, Validity, Student Attitudes
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Ravenscroft, A.; Schmidt, A.; Cook, J.; Bradley, C. – Journal of Computer Assisted Learning, 2012
This paper presents an original approach to designing social media that support informal learning in the digital workplace. It adapts design-based research to take into account the embeddedness of interactions within digitally mediated work-based contexts. The approach is demonstrated through the design, implementation, and evaluation of software…
Descriptors: Informal Education, Formative Evaluation, Methods, Organizational Development