Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 15 |
Since 2006 (last 20 years) | 15 |
Descriptor
Source
Author
Akçapinar, Gökhan | 1 |
Anderson, Terry | 1 |
Arantes, Janine Aldous | 1 |
Baars, Martine | 1 |
Bo Zhang | 1 |
Bushey, Heather | 1 |
Cox, Sarah | 1 |
Devlin, Maura | 1 |
Dollinger, Mollie | 1 |
Eaton, Rebecca | 1 |
Jamaledine, Zeina | 1 |
More ▼ |
Publication Type
Reports - Evaluative | 15 |
Journal Articles | 13 |
Books | 1 |
Information Analyses | 1 |
Education Level
Higher Education | 10 |
Postsecondary Education | 10 |
Elementary Secondary Education | 1 |
Audience
Policymakers | 1 |
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
National Assessment Program… | 1 |
What Works Clearinghouse Rating
Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
Önder, Asuman; Akçapinar, Gökhan – Education and Information Technologies, 2023
The effective use of self-regulation strategies has been considered significant in online learning environments. It is known that learners must be supported in this context. Academic help-seeking (AHS), as one of the main self-regulated learning strategies, is associated with academic success. However, learners may avoid seeking help for…
Descriptors: Students, Help Seeking, Student Behavior, Learning Analytics
Baars, Martine; Viberg, Olga – International Journal of Mobile and Blended Learning, 2022
This paper discusses the possibilities of using and designing mobile technology for learning purposes coupled with learning analytics to support self-regulated learning (SRL). Being able to self-regulate one's own learning is important for academic success but is also challenging. Research has shown that without instructional support, students are…
Descriptors: Electronic Learning, Independent Study, Learning Analytics, Metacognition
Laura Froehlich; Sebastian Weydner-Volkmann – Journal of Learning Analytics, 2024
Educational disparities between traditional and non-traditional student groups in higher distance education can potentially be reduced by alleviating social identity threat and strengthening students' sense of belonging in the academic context. We present a use case of how Learning Analytics and Machine Learning can be applied to develop and…
Descriptors: Learning Analytics, Electronic Learning, Distance Education, Equal Education
Milat, Iness Nedji; Seridi, Hassina; Moudjari, Abdelkader – International Journal of Distance Education Technologies, 2020
Recently, discovering learner behaviour has taken more attention in the field of e-learning. It aims to gain useful insights into the learning process of students despite the absence of direct interaction with teachers. In fact, the only available source of information in such environments is the log file that represents all possible interactions…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Learning Analytics
Richard M. Baylis; Malcolm J. Beynon – Accounting Education, 2024
Lecture Capture (LC) material is accepted to be an available and accessible resource for students in universities across the world. This exploratory study investigates the "when viewing" LC material engagement of accounting undergraduate students. Three categories of engagement are defined, Near-Event-Viewing (NEV), Get-Round-to-Viewing…
Descriptors: Accounting, Lecture Method, Teaching Methods, Undergraduate Students
OECD Publishing, 2021
How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. The book…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Learning Analytics
Arantes, Janine Aldous – Australian Educational Researcher, 2023
Recent negotiations of 'data' in schools place focus on student assessment and NAPLAN. However, with the rise in artificial intelligence (AI) underpinning educational technology, there is a need to shift focus towards the value of teachers' digital data. By doing so, the broader debate surrounding the implications of these technologies and rights…
Descriptors: Foreign Countries, Elementary Secondary Education, Electronic Learning, Artificial Intelligence
Anderson, Terry; Rivera-Vargas, Pablo – Digital Education Review, 2020
This article focuses on educational technology as applied in the context of programs and institutions that offer completely distance education courses. All education in the 21st century is digital education in that the use of networking, text and image creation and editing and search and retrieval of information punctuates the life of almost every…
Descriptors: Educational Technology, Distance Education, Technology Uses in Education, Electronic Learning
Walsh, Chris; Mital, Abhinav; Ratcliff, Michael; Yap, Ana; Jamaledine, Zeina – Australasian Journal of Educational Technology, 2020
Online education often struggles to maintain a consistent, high quality academic experience. High attrition rates and low student satisfaction continue to challenge higher education providers. We present an innovative public-private partnership that delivers a resources-sufficient model of fully online postgraduate education with high levels of…
Descriptors: Partnerships in Education, Electronic Learning, Distance Education, Academic Support Services
Devlin, Maura; Bushey, Heather – Change: The Magazine of Higher Learning, 2019
With national graduation rates that range from 32% among open enrollment institutions to 66% among private not-for-profits, higher education institutions have a moral imperative to improve the success of their students. Interventions to support today's students must consider the student holistically, be just-in-time, and come from a…
Descriptors: Data Use, Academic Achievement, Outcomes of Education, Holistic Approach
Taneri, Grace Ufuk – Center for Studies in Higher Education, 2020
We are living in an era of artificial intelligence (AI). There is wide discussion about and experimentation with the impact of AI on education/higher education. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their…
Descriptors: Artificial Intelligence, Higher Education, Electronic Learning, Blended Learning
Orchard, Ryan K. – Journal of Educational Technology Systems, 2019
Learning management systems (LMS) allow for a variety of ways in which online multiple-choice assessments ("tests") can be configured, including the ability to allow for multiple attempts and options for which of and how the attempts will count. These options are usually chosen according to the instinct of the instructor; however, LMS…
Descriptors: Integrated Learning Systems, Data Use, Electronic Learning, Assignments
Dollinger, Mollie; Cox, Sarah; Eaton, Rebecca; Vanderlelie, Jessica; Ridsdale, Sam – Journal of Interactive Media in Education, 2020
This article will explore usage patterns and perceptions of online learning support among university students. As higher education expands to include increasingly diverse student cohorts, alternative online-supported learning services have gained attention as a mechanism to support student success. However, there is a paucity of research regarding…
Descriptors: Student Diversity, Electronic Learning, Academic Support Services, College Students
Kean, Emily B.; Robinson, Cayla – Journal of Information Literacy, 2019
The liaison librarian to a university with a substantial and growing online learning population began using asynchronous, personalised video instruction as an online replacement for the traditional face-to-face, one-on-one bibliographic instruction reference appointment. This project was informed by the framework of metaliteracy and the 'See One,…
Descriptors: Individualized Instruction, Asynchronous Communication, Library Instruction, Instructional Effectiveness