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Anna Moni – Online Learning, 2024
Despite extensive research on feedback models, there is still sparse empirical evidence of their validity and application in higher education learning settings, whether online, hybrid, or face-to-face. Understanding how a feedback framework--integrated in the instructional cycle--is perceived by the learners can provide empirical support about its…
Descriptors: Student Attitudes, Feedback (Response), Electronic Learning, Blended Learning
Gardner, Krista; Leary, Heather – Online Learning, 2023
First-generation and underrepresented minoritized (URM) students may have greater challenges in online learning than other students. Communities of support can help these highly motivated students be more engaged and successful in the remote learning environment. In this scoping literature review, we identified fifteen categories of…
Descriptors: Undergraduate Students, First Generation College Students, Minority Group Students, Disproportionate Representation
Gogus, Aytac – Online Learning, 2023
Offering online courses can be seen as a way of enhancing the three essential "presences" (teaching, cognitive, and social) of the Community of Inquiry (CoI) model. Creating and enhancing cognitive, teaching, and social presences require an innovation for teachers during planning, implementing, and evaluating their online courses. As…
Descriptors: Online Courses, Electronic Learning, Learning Experience, Cognitive Processes
Barbara Means; Julie Neisler – Online Learning, 2023
Learner engagement is well-established as critical for learning online. Professional development for online instructors emphasizes techniques for engaging students, and learning technology products tout features intended to promote engagement (e.g., adaptive content, video, gamification). But the influence of particular instructor practices and of…
Descriptors: Learner Engagement, Electronic Learning, Teaching Methods, Educational Practices
Chien, Hsiang-Yu; Kwok, Oi-Man; Yeh, Yu-Chen; Sweany, Noelle Wall; Baek, Eunkyeng; McIntosh, William – Online Learning, 2020
The purpose of this study was to investigate a predictive model of online learners' learning outcomes through machine learning. To create a model, we observed students' motivation, learning tendencies, online learning-motivated attention, and supportive learning behaviors along with final test scores. A total of 225 college students who were…
Descriptors: Identification, At Risk Students, College Students, Psychological Patterns
Ou, Chaohua; Joyner, David A.; Goel, Ashok K. – Online Learning, 2019
Despite the ubiquitous use of instructional videos in both formal and informal learning settings, questions remain largely unanswered on how to design and develop video lessons that are often used as the primary method for delivering instruction in online courses. In this study, we experimented with a model of seven principles drawn from…
Descriptors: Video Technology, Electronic Learning, Instructional Development, Instructional Design
Charlotte N. Gunawardena; Yan Chen; Nick Flor; Damien Sánchez – Online Learning, 2023
Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…
Descriptors: Models, Learning Processes, Knowledge Level, Online Courses
Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Borup, Jered; Evmenova, Anna S. – Online Learning, 2019
Growth of online learning has placed increased pressure on K-12 schools and universities to provide students at all levels with qualified instructors. It is especially important that colleges of education provide pre- and in-service teachers with skilled online instructors so that they can experience the benefit of quality online instruction…
Descriptors: Schools of Education, Electronic Learning, Faculty Development, College Faculty
West, Deborah; Heath, David; Huijser, Henk – Online Learning, 2016
This paper presents a dialogical tool for the advancement of learning analytics implementation for student retention in Higher Education institutions. The framework was developed as an outcome of a project commissioned and funded by the Australian Government's "Office for Learning and Teaching". The project took a mixed-method approach…
Descriptors: School Holding Power, Models, Higher Education, Mixed Methods Research
Pool, Jessica; Reitsma, Gerda; van den Berg, Dirk – Online Learning, 2017
This paper presents a study grounded in the Community of Inquiry (CoI) framework using qualitative content analysis and focus group interviews in an effort to identify aspects of learning presence in a blended learning course. Research has suggested that the CoI framework may need additional emphasis based on the roles of strategic learners in…
Descriptors: Communities of Practice, Inquiry, Qualitative Research, Content Analysis
Yu, Taeho; Richardson, Jennifer C. – Online Learning, 2015
The purpose of this study was to develop an effective instrument to measure student readiness in online learning with reliable predictors of online learning success factors such as learning outcomes and learner satisfaction. The validity and reliability of the Student Online Learning Readiness (SOLR) instrument were tested using exploratory factor…
Descriptors: Learning Readiness, Online Courses, Electronic Learning, Factor Analysis
Picciano, Anthony G. – Online Learning, 2015
The purpose of this article is to revisit the basic principles of technology planning as applied to online education initiatives. While not meant to be an exhaustive treatment of the topic, the article is timely because many colleges and universities are considering the development and expansion of online education as part of their planning…
Descriptors: Technology Planning, Electronic Learning, Web Based Instruction, Internet