Effects of Learner-to-Learner Interactions on Social Presence, Achievement and Satisfaction

The relationships between learner-to-learner interactions, achievement, social presence, and satisfaction in online learning have varying degrees of strength according to the research. More evidence is needed to identify clarify relationships among these variables and to identify best practices for designing learner-to-learner interactions to increase achievement, level of social presence, and learner satisfaction. This non-experimental, comparative study investigated the strategies used for learner-to-learner interactions effects on achievement, social presence, and satisfaction. Surveys measuring social presence and interaction quality were administered to instructors and students enrolled in 17 undergraduate asynchronous online courses. The surveys for instructors and students were the same, except for slight modifications to address the appropriate audience. A survey measuring learning satisfaction was only administered to the students. Achievement measures were collected via three performance ratings from the instructors. Designed interactions that have a cooperative intent increased learner’s achievement and level of satisfaction. Designed interactions should include (a) positive interdependence; (b) individual accountability; (c) promotive interactions, and (d) elaborate explanations. The effect social presence had on achievement, satisfaction, and interaction quality were mixed. A higher level of instructor social presence increases learner’s achievement, level of learner social presence, and level of learner satisfaction. A higher level of learner social presence increases level of interactive quality and level of learner satisfaction. The findings suggest that higher levels of interaction quality increased levels of instructor social presence, learner social presence, and learner satisfaction. The quality of interaction may be a stronger predictor for level of social presence and learner satisfaction. More research in this area is needed to validate this conclusion. Further research is also recommended to identify and validate the relationships between these variables and best practices in designing interactive experiences in online asynchronous undergraduate courses

Student interactions in online discussion forums: their perception on learning with business simulation games

Digital technology offers new teaching methods with controversial results over learning. They allow students to develop a more active participation in their learning process although it does not always drive to unequivocal better learning outcomes. This study aims to offer additional evidence on the contribution of business simulation games to students' learning outcomes, considering student interactions in online discussion forums. We conducted a qualitative research with the online discussion forums of 5 different courses at bachelor and master levels, which involves 41 students' teams. The final sample was composed of 3681 messages posted by the students. The results reveal that some generic and specific managerial skills exert a positive influence on learning outcomes. Students mostly highlighted teamwork, decision-making, information processing, reaching agreements, and dealing with uncertainty as the most relevant contributions of the game towards their learning. These results have instructional and pedagogical implications for determining the best way to enhance students' motivation and learning outcomes when using digital technology methods, which involves recommendations that affect their design and monitoring

Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies

A systematic search of the research literature from 1996 through July 2008 identified more than a thousand empirical studies of online learning. Analysts screened these studies to find those that (a) contrasted an online to a face-to-face condition, (b) measured student learning outcomes, (c) used a rigorous research design, and (d) provided adequate information to calculate an effect size. As a result of this screening, 51 independent effects were identified that could be subjected to meta-analysis. The meta-analysis found that, on average, students in online learning conditions performed better than those receiving face-to-face instruction. The difference between student outcomes for online and face-to-face classes—measured as the difference between treatment and control means, divided by the pooled standard deviation—was larger in those studies contrasting conditions that blended elements of online and face-to-face instruction with conditions taught entirely face-to-face. Analysts noted that these blended conditions often included additional learning time and instructional elements not received by students in control conditions. This finding suggests that the positive effects associated with blended learning should not be attributed to the media, per se. An unexpected finding was the small number of rigorous published studies contrasting online and face-to-face learning conditions for K–12 students. In light of this small corpus, caution is required in generalizing to the K–12 population because the results are derived for the most part from studies in other settings (e.g., medical training, higher education)

The relationship between instructor course participation, student participation, and student performance in online courses

Online learning has become ubiquitous with higher education and has catalyzed many changes in teaching and learning, particularly in academic technology. However, foundational frameworks for supporting learning in a virtual environment argue that learners need very similar, if not more, instructional engagement and support as the traditional classroom. Moore’s (1989) three types of interaction and Garrison & Akyol’s (2013) community of inquiry theoretical framework opine the importance of social engagement on the part of instructors and students in the online classroom, further asserting that learner-to-instructor interactions are essential to supporting student satisfaction and learning. Nevertheless, there are few studies, particularly quantitative studies, that examine the relationship between instructor participation in online courses and student participation and achievement. This study analyzed the relationship between select forms of instructor participation, including course announcements and discussion board posts, and student participation and achievement, represented by student course accesses, clicks within a course, time in a course, discussion board posts, and final course grade. The researcher utilized data available in the learning management system (LMS) log files from over 500 online master’s degree courses delivered at a private nonprofit university in the Northwest United States. The results of the multiple regression and multivariate analysis of variance (MANOVA) analyses on the data from the logs showed significant relationships between instructor participation and student participation as well as student participation and achievement within an online course. No significant relationship was identified between instructor participation and student achievement. Potential explanations for this discrepancy and opportunities for future research are also discussed

An Investigation of the Impact of Student Satisfaction on Student Outcomes Among Undergraduate Students in a Blended Learning Environment in University A

The purpose of this study was to examine the impact of student satisfaction on student outcomes among undergraduate students in a blended learning environment in University A. It was a quantitative predictive correlational design, with predictor variables satisfaction with course, sex, age and race/ethnicity, and criterion variable end-of-course score. The Corona Virus pandemic highlighted the central role of blended and online learning in educational processes globally. The technological revolution in education characterized by the infusion of digital technologies in classrooms, indicates that blended learning will continue to feature prominently in educational settings. Student satisfaction in blended learning redounds to the benefit of students and educational institutions since it could contribute to improved pedagogical and curricular practices, goodwill, enhanced reputation, and increased enrollment. Participants for this study were drawn from a convenience sample of 330 undergraduate students enrolled in a blended general education course at University A. Data collection procedures for predictor variables were accomplished through the online administration of the Satisfaction with Blended eLearning Systems (BELS) Questionnaire, while criterion variable data was garnered from student records. Applying multiple linear regression analysis, a statistically significant relationship was found between the linear combination of satisfaction with course, sex, age, race/ethnicity and end-of-course score. However, satisfaction with course emerged as the only significant predictor of the end-of-course score. Course satisfaction in blended learning settings influences performance. Further investigations are needed in other tertiary level institutions in the Caribbean, across different disciplines, and different blended learning delivery methods

Self-Regulation in a Web-Based Course: A Case Study

Little is known about how successful students in Web-based courses self-regulate their learning. This descriptive case study used a social cognitive model of self-regulated learning (SRL) to investigate how six graduate students used and adapted traditional SRL strategies to complete tasks and cope with challenges in a Web-based technology course; it also explored motivational and environmental influences on strategy use. Primary data sources were three transcribed interviews with each of the students over the course of the semester, a transcribed interview with the course instructor, and the students’ reflective journals. Archived course documents, including transcripts of threaded discussions and student Web pages, were secondary data sources. Content analysis of the data indicated that these students used many traditional SRL strategies, but they also adapted planning, organization, environmental structuring, help seeking, monitoring, record keeping, and self-reflection strategies in ways that were unique to the Web-based learning environment. The data also suggested that important motivational influences on SRL strategy use—self-efficacy, goal orientation, interest, and attributions—were shaped largely by student successes in managing the technical and social environment of the course. Important environmental influences on SRL strategy use included instructor support, peer support, and course design. Implications for online course instructors and designers, and suggestions for future research are offered

An examination of social presence in an online learning environment.

The distance education literature is lacking studies investigating the construct of social presence, the value placed on it by online learners, and whether its existence in text-based environments is necessary for learning, satisfaction, and contributing to course retention. The purpose of this study was to explore learner perceptions and experiences of the learning process within the Web-based online learning medium in terms of social presence. More specifically, it examines the relationship among learners\u27 perceptions of social presence in asynchronous online courses and how it relates to satisfaction with learning, whether course activities perceived as having high levels of social presence also have high levels of satisfaction and quality of learning, and whether perceptions of social presence and satisfaction with learning affects their likelihood of enrolling in future online courses. The research design of this study utilized an online survey administered to 280 students enrolled in online courses of nine disciplines; both undergraduate- and graduate- level at a large urban university. Open-ended questions from the online survey were examined as well to help inform and support the findings from the quantitative data. Data were analyzed using correlations, ANOVAs, and hierarchical regression analysis. The findings demonstrated that students\u27 perceived social presence was statistically, significantly, and positively related to their overall perceived satisfaction with learning in online courses. Furthermore, students\u27 perceived social presence was statistically, significantly, and positively related to their perception of quality of and satisfaction with learning for each of the five course activities examined in this study. The hierarchical regression analysis suggested that perceived social presence contributed substantially more incremental variance to the decision to enroll again in an online course than the satisfaction with learning variable. Overall, the theoretical model including social presence and satisfaction with learning explained 18 percent of the variance in the dependent variable. The potential implications for theory and practice for online course designers and instructors are provided

Teaching presence: a focus on the instructor\u27s role in online collaborative learning

The use of e-learning has been extended beyond simply providing access to information to providing the ability to learn collaboratively via an interactive learning environment. The ability to create an online collaborative and interactive environment is a challenge. This study strove to examine the most effective design and facilitative strategies for fostering student learning and participation in hopes to make design and implementation of online discussions easier and more efficient for teachers. The primary goal of this study was to understand how the degree of instructor presence influenced students’ perception of learning and how students engaged in deeper levels of learning in an online collaborative learning environment. More specifically, the study explored the relationship between design and facilitative strategies in online discussions and student participation, student learning, and students’ perceptions of their online learning experience. An embedded, multiple-case study design was used. Three completely online classes taught by the same instructor were chosen for this study (n = 55). During the Fall 2007 semester, data were collected from observations, discussion transcripts, teacher interviews, student surveys and student grades. Quantitative data included student responses on a perception survey, final course grades, and the frequency of discussion posts. Qualitative data included on-going observations, on-going teacher interviews, open-ended questions on a student perception survey, and discussion transcripts. Results showed that the teacher’s role in online discussions is influential to student participation and learning. More specifically, certain strategies such as participation requirements and question design were related to an increase in participation and learning. Factors such as addressing students by name, providing immediate feedback, providing on-going communication, and providing individual attention may have also contributed to student learning. The findings of this research are consistent with that of previous studies. Consequently, they add merit to the importance of teacher presence in online learning, particularly in the areas of course structure and question design. Implications for practice are discussed

Quality in MOOCs: Surveying the Terrain

The purpose of this review is to identify quality measures and to highlight some of the tensions surrounding notions of quality, as well as the need for new ways of thinking about and approaching quality in MOOCs. It draws on the literature on both MOOCs and quality in education more generally in order to provide a framework for thinking about quality and the different variables and questions that must be considered when conceptualising quality in MOOCs. The review adopts a relativist approach, positioning quality as a measure for a specific purpose. The review draws upon Biggs’s (1993) 3P model to explore notions and dimensions of quality in relation to MOOCs — presage, process and product variables — which correspond to an input–environment–output model. The review brings together literature examining how quality should be interpreted and assessed in MOOCs at a more general and theoretical level, as well as empirical research studies that explore how these ideas about quality can be operationalised, including the measures and instruments that can be employed. What emerges from the literature are the complexities involved in interpreting and measuring quality in MOOCs and the importance of both context and perspective to discussions of quality