NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
What Works Clearinghouse Rating
Showing 1 to 15 of 173 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ryan S. Baker; Stephen Hutt; Nigel Bosch; Jaclyn Ocumpaugh; Gautam Biswas; Luc Paquette; J. M. Alexandra Andres; Nidhi Nasiar; Anabil Munshi – Educational Technology Research and Development, 2024
In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…
Descriptors: Electronic Learning, Anxiety, Metacognition, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
Bimal Aklesh Kumar; Sailesh Saras Chand; Munil Shiva Goundar – International Journal of Information and Learning Technology, 2024
Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted.…
Descriptors: Usability, Electronic Learning, Computer Software, Computer Oriented Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…
Descriptors: Foreign Countries, Identification, Interaction, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Lorusso, Nicholas S.; Gemmellaro, M. Denise – Biochemistry and Molecular Biology Education, 2023
One significant impact of the COVID-19 pandemic for educators in forensic science was adapting what is traditionally a very applied field to a virtual learning environment. Because of this, science classes with a practical laboratory component had to implement significant adjustments to ensure that student learning objectives were still met,…
Descriptors: Crime, Science Education, Distance Education, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
Peer reviewed Peer reviewed
Direct linkDirect link
Nayak, Padmalaya; Vaheed, Sk.; Gupta, Surbhi; Mohan, Neeraj – Education and Information Technologies, 2023
Students' academic performance prediction is one of the most important applications of Educational Data Mining (EDM) that helps to improve the quality of the education process. The attainment of student outcomes in an Outcome-based Education (OBE) system adds invaluable rewards to facilitate corrective measures to the learning processes.…
Descriptors: Predictor Variables, Academic Achievement, Data Collection, Information Retrieval
Peer reviewed Peer reviewed
Direct linkDirect link
David P. Reid; Timothy D. Drysdale – IEEE Transactions on Learning Technologies, 2024
The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…
Descriptors: Learning Analytics, Laboratory Experiments, Electronic Learning, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Jensen, Lasse X.; Bearman, Margaret; Boud, David; Konradsen, Flemming – Higher Education: The International Journal of Higher Education Research, 2022
To understand how the digitalization of higher education influences the inter-relationship between students, teachers, and their broader contexts, research must account for the social, cultural, political, and embodied aspects of teaching and learning in digital environments. "Digital ethnography" is a research method that can generate…
Descriptors: Electronic Learning, Ethnography, Higher Education, Research Methodology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yavuz Akbulut; Abdullah Saykili; Aylin Öztürk; Aras Bozkurt – International Review of Research in Open and Distributed Learning, 2023
Online surveys are widely used in social science research as well as in empirical studies of open, online, and distance education. However, students' responses are likely to be at odds with their actual behavior. In this context, we examined the discrepancies between self-reported use and actual use (i.e., learning analytics data) among 20,646…
Descriptors: Measurement Techniques, Electronic Learning, Distance Education, Open Education
Peer reviewed Peer reviewed
Direct linkDirect link
Xing, Wanli; Du, Dongping; Bakhshi, Ali; Chiu, Kuo-Chun; Du, Hanxiang – IEEE Transactions on Learning Technologies, 2021
Predictive modeling in online education is a popular topic in learning analytics research and practice. This study proposes a novel predictive modeling method to improve model transferability over time within the same course and across different courses. The research gaps addressed are limited evidence showing whether a predictive model built on…
Descriptors: Electronic Learning, Bayesian Statistics, Prediction, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cherese Childers-McKee; Sara Ewell; Joan Giblin; Joseph McNabb; Melissa Parenti – Impacting Education: Journal on Transforming Professional Practice, 2024
Northeastern University's EdD faculty faced unique challenges during the pandemic and racial reckoning following George Floyd's murder. During this period, however, we found opportunities to adapt and improve our program. We prioritized compassion and connection. We made significant strides in curriculum development through design and…
Descriptors: Doctoral Programs, Program Improvement, Curriculum Development, Program Design
Peer reviewed Peer reviewed
Direct linkDirect link
Mahsood Shah; Fion Choon Boey Lim – Perspectives: Policy and Practice in Higher Education, 2024
This paper is a retrospective look at the last ten years of development in online third-party arrangements within the Australian higher education sector. A total of 42 higher education providers are reviewed. The analysis initially focuses on the state of online third-party arrangements in Australian higher education. It then investigates the…
Descriptors: Foreign Countries, Higher Education, Partnerships in Education, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Kularski, Curtis M.; Martin, Florence – American Journal of Distance Education, 2022
This systematic review of research on online student privacy in higher education used a strategic search process to synthesize research on online student privacy based on publications trends, research methods, online spaces studied and the focus of the research. A total of 41 articles were analyzed to explore the existing literature on the topic.…
Descriptors: Online Courses, College Students, Electronic Learning, Privacy
Peer reviewed Peer reviewed
Direct linkDirect link
Yan, Hongxin; Lin, Fuhua; Kinshuk – International Journal of Artificial Intelligence in Education, 2021
Online education is growing because of its benefits and advantages that students enjoy. Educational technologies (e.g., learning analytics, student modelling, and intelligent tutoring systems) bring great potential to online education. Many online courses, particularly in self-paced online learning (SPOL), face some inherent barriers such as…
Descriptors: Learning Analytics, Independent Study, Online Courses, Electronic Learning
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12