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Zhu, Wangda; Hua, Ying; Zhu, Gaoxia; Wang, Luping – British Journal of Educational Technology, 2022
It is critical to create an inclusive online learning environment for students with diverse demographic information studying in different environments, especially during the COVID-19 pandemic when they are disconnected from peers. Guided to create an inclusive online learning community by situated learning theory and community of practice, both of…
Descriptors: Social Media, Photography, Inclusion, Communities of Practice
Talsma, Kate; Chapman, Andrew; Matthews, Allison – British Journal of Educational Technology, 2023
Predictors of academic success at university are of great interest to educators, researchers and policymakers. With more students studying online, it is important to understand whether traditional predictors of academic outcomes in face-to-face settings are relevant to online learning. This study modelled self-regulatory and demographic predictors…
Descriptors: Self Management, Student Characteristics, Predictor Variables, Grade Prediction
Liu, Zheyu; Yin, Hongbiao; Cui, Weijin; Xu, Boyu; Zhang, Mingchang – British Journal of Educational Technology, 2022
Designing reflective activities for online video learning could enhance learning outcomes and, to some extent, influence learning processes (ie, attentional processes and emotional experiences). It is necessary to select different levels of reflective activities in online video learning according to learning processes and outcomes. This study…
Descriptors: Reflection, Electronic Learning, Video Technology, Learning Activities
Li, Yanyan; Li, Xiaoran; Zhang, Yuan; Li, Xin – British Journal of Educational Technology, 2021
The present study attempts to examine the effects of group awareness on knowledge construction and further surveys in what ways the different group awareness types support the collaboration in CSCL. In this quasi-experimental study, we adopted a self-developed group awareness tool that could display cognitive, social and behavioral group awareness…
Descriptors: Group Dynamics, Cooperative Learning, Electronic Learning, Undergraduate Students
Fabian, Khristin; Smith, Sally; Taylor-Smith, Ella; Meharg, Debbie – British Journal of Educational Technology, 2022
The COVID-19 pandemic disrupted education across the world as campuses closed to restrict the spread of the virus. UK universities swiftly migrated to online delivery. The experiences of students and staff during this transition can inform our return to campus and our ability to deal with future disruption. This study draws on Moore's theory of…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, Pandemics
Latifi, Saeed; Noroozi, Omid; Talaee, Ebrahim – British Journal of Educational Technology, 2021
This study compared the effects of support for peer feedback, peer feedforward and their combination on students' peer learning processes, argumentative essay quality and domain-specific learning. Participants were 86 BSc students who were randomly divided over 43 dyads. These dyads, in a two-factorial experimental design, were assigned to four…
Descriptors: Peer Relationship, Feedback (Response), Persuasive Discourse, Essays
Novak, Elena; McDaniel, Kerrie; Daday, Jerry; Soyturk, Ilker – British Journal of Educational Technology, 2022
e-Textbooks and e-learning technologies have become ubiquitous in college and university courses as faculty seek out ways to provide more engaging, flexible and customizable learning opportunities for students. However, the same technologies that support learning can serve as a source of frustration. Research on frustration with technology is…
Descriptors: Electronic Learning, Electronic Publishing, Textbooks, Student Attitudes
Herodotou, Christothea; Hlosta, Martin; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek; Mangafa, Chrysoula – British Journal of Educational Technology, 2019
This study presents an advanced predictive learning analytics system, OU Analyse (OUA), and evidence from its evaluation with online teachers at a distance learning university. OUA is a predictive system that uses machine learning methods for the early identification of students at risk of not submitting (or failing) their next assignment.…
Descriptors: Learning Analytics, Teacher Empowerment, Distance Education, College Faculty
Kaliisa, Rogers; Palmer, Edward; Miller, Julia – British Journal of Educational Technology, 2019
The purpose of this paper is to compare and contrast characteristics of use and adoption of mobile learning in higher education in developed and developing countries. A comparative case study based on a survey questionnaire was conducted with 189 students (undergraduate and postgraduate) from Makerere University in Uganda and the University of…
Descriptors: Foreign Countries, Electronic Learning, Higher Education, Comparative Analysis
Cacciamani, Stefano; Cesareni, Donatella; Perrucci, Vittore; Balboni, Giulia; Khanlari, Ahmad – British Journal of Educational Technology, 2019
Recently, Computer Supported Collaborative Learning researchers have become interested in the notion of scripting and assigning roles to students enrolled in online courses, in order to increase their engagement in collaborative activities. This study aimed to investigate whether assigning a role called "social tutor" to a student…
Descriptors: Tutors, Student Participation, College Instruction, Instructional Effectiveness
Jeno, Lucas M.; Adachi, Paul J. C.; Grytnes, John-Arvid; Vandvik, Vigdis; Deci, Edward L. – British Journal of Educational Technology, 2019
From the lens of Self-Determination Theory, this study investigated the effects of a mobile application tool for identifying species on biology students' achievement and well-being. It was hypothesized that the mobile application, compared to a textbook, would enhance feelings of competence and autonomy and, in turn, intrinsic motivation, positive…
Descriptors: Electronic Learning, Student Motivation, Academic Achievement, Well Being
Cheng, Gary; Chau, Juliana – British Journal of Educational Technology, 2016
The purpose of this study was twofold: first, to explore the relationship between students' learning styles and their online participation in a blended learning course, and second, to investigate the relationships of students' online participation with their learning achievement and with course satisfaction. A total of 78 undergraduate students…
Descriptors: Undergraduate Students, Cognitive Style, Electronic Learning, Student Participation
Chang, Ray I.; Hung, Yu Hsin; Lin, Chun Fu – British Journal of Educational Technology, 2015
With the rapid development of web techniques, information and communication technology is being increasingly used in curricula, and learning portfolios can be automatically retrieved and maintained as learners interact through e-learning platforms. Further, massive open online courses (MOOCs), which apply such technology to provide open access to…
Descriptors: Learning Experience, Preferences, Cognitive Style, Intention
Pegrum, Mark; Bartle, Emma; Longnecker, Nancy – British Journal of Educational Technology, 2015
This paper examines the effect of a podcasting task on the examination performance of several hundred first-year chemistry undergraduate students. Educational researchers have established that a deep approach to learning that promotes active understanding of meaning can lead to better student outcomes, higher grades and superior retention of…
Descriptors: Creative Activities, Multimedia Materials, Undergraduate Students, Science Education
Kazlauskas, Alanah; Robinson, Kathy – British Journal of Educational Technology, 2012
Twenty-first century students are expected to utilise emerging technologies such as lecture podcasts as learning tools. This research explored the uptake of podcasts by undergraduate students enrolled in two very different cognitively challenging subjects in the second year of the nursing programme and in the first year of a business programme.…
Descriptors: Electronic Learning, Undergraduate Students, Internet, Lecture Method
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