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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
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
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
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Martin, Florence; Wu, Tong; Wan, Liyong; Xie, Kui – Online Learning, 2022
The Community of Inquiry (CoI) framework describes three essential presences (i.e., teaching presence, cognitive presence, and social presence) and how these presences interact in providing an educational experience in online and blended learning environments. This meta-analysis examined 19 empirical studies on the CoI Presences (teaching…
Descriptors: Blended Learning, Meta Analysis, Correlation, Communities of Practice
Picciano, Anthony G. – Online Learning, 2017
This article examines theoretical frameworks and models that focus on the pedagogical aspects of online education. After a review of learning theory as applied to online education, a proposal for an integrated "Multimodal Model for Online Education" is provided based on pedagogical purpose. The model attempts to integrate the work of…
Descriptors: Online Courses, Blended Learning, Learning Theories, Models
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
Halverson, Lisa R.; Graham, Charles R. – Online Learning, 2019
Learner engagement correlates with important educational outcomes, including academic achievement and satisfaction. Although research is already exploring learner engagement in blended contexts, no theoretical framework guides inquiry or practice, and little consistency or specificity exists in engagement definitions and operationalizations.…
Descriptors: Learner Engagement, Blended Learning, Definitions, Models
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
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
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
France-Harris, Antoinette; Burton, Christie; Mooney, Mara – Online Learning, 2019
Scholars widely agree that community-engaged learning can significantly improve the learning experience for students while simultaneously having a positive impact on the community. This paper explores student perceptions in online pre-professional undergraduate courses in the legal studies and human resources management fields in which…
Descriptors: Theory Practice Relationship, Models, Online Courses, Legal Education (Professions)
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
Provident, Ingrid; Salls, Joyce; Dolhi, Cathy; Schreiber, Jodi; Mattila, Amy; Eckel, Emily – Online Learning, 2015
Written reflections of 113 occupational therapy clinical doctoral students who graduated from an online program between 2007 and 2013 were analyzed for themes which reflected transformative learning and characteristics of curricular design which promoted transformative learning. Qualitative analyses of written reflections were performed. Several…
Descriptors: Online Courses, Curriculum Design, Transformative Learning, Doctoral Programs
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
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