Effects of community of inquiry,learning presence and mentor presence on K-12 online learning outcomes

This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of K-12 mentoring – which is unique to online learning in the U.S. – mentor presence is also included. Structural equation modelling of 696 online 8th through 12th graders' survey responses and final grades showed that adding learning presence to the CoI framework helped to explain how these learners translated their online-learning perceptions into cognitive and affective learning outcomes. We also found that mentor presence significantly and positively predicted online SRL strategy, one of the two components of learning presence. Lastly, we established a connection between the CoI model and various types of learning outcomes that are indicators of K-12 online learning success – though it should be noted that important differences existed between a model based on final grades and two other outcome models. It is hoped that the processes identified in this study will be useful and relevant to K-12 online-learning institutions and educators seeking to improve their offering via a wide range of approaches.     

Effectiveness of learning in online academic courses compared with face‐to‐face courses in higher education

This study examined the effectiveness of 3 online courses compared with the same 3 courses in a face‐to‐face (F2F) format, which had the same characteristics (e.g., the same instructor and final exam content and place). Effectiveness was examined by utilizing a wide range of variables, including 2 objective measures (N = 968): grades and completion rate; and 9 subjective measures (N = 360): 7 measures include instructional aspects (course structure, learning content, lessons watched, assignments, communication), engagement, and satisfaction. Findings indicate significant differences between online and F2F courses in most of the examined variables. Students in the online courses reported better understanding of the course structure, better communication with the course staff, watching the videos lessens more, and higher engagement and satisfaction. Students in the F2F courses reported better contribution of the learning content. Students' final grades were higher in the online courses, and no differences were found in the completion rate. The findings suggest that in many of the examined effectiveness aspects, online courses are as effective as, or more effective than, F2F courses. Interpretations of the findings are discussed.     

Cognitive presence in asynchronous online learning: a comparison of four discussion strategies

Some scholars argue that students do not achieve higher level learning, or cognitive presence, in online courses. Online discussion has been proposed to bridge this gap between online and face‐to‐face learning environments. However, the literature indicates that the conventional approach to online discussion – asking probing questions – does not necessarily advance the discussion through the phases of cognitive presence: triggering events, exploration, integration and resolution, which are crucial for deep knowledge construction. Using mixed methods, we examined the contribution of four scenario‐based online discussion strategies – structured, scaffolded, debate and role play – to the learners' cognitive presence, the outcome of the discussion. Learners' discussion postings within each strategy were segmented and categorized according to the four phases. The discussion strategies, each using the same authentic scenario, were then compared in terms of the number of segments representing these phases. We found that the structured strategy, while highly associated with triggering events, produced no discussion pertaining to the resolution phase. The scaffolded strategy, on the other hand, showed a strong association with the resolution phase. The debate and role‐play strategies were highly associated with exploration and integration phases. We concluded that discussion strategies requiring learners to take a perspective in an authentic scenario facilitate cognitive presence, and thus critical thinking and higher levels of learning. We suggest a heuristic for sequencing a series of discussion forums and recommend areas for further related research.     

Knowledge contribution in virtual communities: accounting for multiple dimensions of social presence through social identity

Integrating social presence theory and social identity theory, this study brings system design and social influence aspects together to explain their joint effects on knowledge contribution in virtual communities (VCs). Different from most prior information systems (IS) research that adopts a uni-dimensional approach and restricts social presence to be the subjective nature of media, we developed and empirically tested a model explaining the effects of multi-dimensional social presence on social identification processes and knowledge contribution. An online survey was conducted with four different VCs of interest. The results showed the difference in relative contribution of social presence dimensions on social identity as well as knowledge contribution. Both practical and theoretical implications are discussed.     

Towards deeper learning through creativity within online communities in primary education

Despite recent British government moves to equip all Primary Schools with fast broadband connections to the Internet, it would seem that many schools as yet make little use of the increased capacity this affords other than to incorporate more and more rich multimedia in the form of interactive games or animated presentations to illustrate particular concepts or practise specific skills. Whilst not wanting to deny the potential and value of such activities, this paper will focus on the potential use of online communities to reverse this rather unidirectional relationship children often experience with the Internet. That is, the potential within online communities to facilitate a more reciprocal relationship as children become benefactors as well as recipients of the wealth of web-based information, and the quality of learning that may ensue.     

Constructing and evaluating online goal-setting mechanisms in web-based portfolio assessment system for facilitating self-regulated learning

The purpose of the present study was to construct goal-setting mechanisms in a web-based portfolio assessment system (WBPAS), based on the self-regulated learning (SRL) process proposed by Zimmerman, and to examine effects of these mechanisms on SRL. The participants were two classes of 11th graders taking the website design class in a vocational high school. The participants were assigned randomly to either an experimental group (n = 40) learning with a WBPAS or a control group (n = 41) learning with a paper-based portfolio. The study results revealed the following: a) the quality of goal-setting mechanisms may facilitate SRL. b) Students setting learning goals with the WBPAS demonstrated significantly better SRL than students setting learning goals with the paper-based portfolio.     

Feature-aware regularization for sparse online learning

Learning a compact predictive model in an online setting has recently gained a great deal of attention.The combination of online learning with sparsity-inducing regularization enables faster learning with a smaller memory space than the previous learning frameworks.Many optimization methods and learning algorithms have been developed on the basis of online learning with L1-regularization.L1-regularization tends to truncate some types of parameters,such as those that rarely occur or have a small range of values,unless they are emphasized in advance.However,the inclusion of a pre-processing step would make it very difficult to preserve the advantages of online learning.We propose a new regularization framework for sparse online learning.We focus on regularization terms,and we enhance the state-of-the-art regularization approach by integrating information on all previous subgradients of the loss function into a regularization term.The resulting algorithms enable online learning to adjust the intensity of each feature’s truncations without pre-processing and eventually eliminate the bias of L1-regularization.We show theoretical properties of our framework,the computational complexity and upper bound of regret.Experiments demonstrated that our algorithms outperformed previous methods in many classification tasks.     

Effects of social-interactive engagement on the dropout ratio in online learning: insights from MOOC

In online learning, the high dropout ratio is a serious problem and reflects a poor level of motivation in e-learning programmes. Social-interactive engagement may greatly affect users’ attitudes and choices in many fields; among these, online learning is inevitably impacted by factors such as social connections. To study the impact of social-interactive engagement on the dropout ratio and learning progress, iMOOC was employed as the study object using data from 619 courses and 2,071,147 learners, as well as 19,451,428 learning records. As engagement is a process of collecting experiences, the learner’s experience plays a significant role in reducing the dropout ratio. Social-interactive engagement helps to reduce the dropout ratio; thus, learners should be encouraged to engage in online activities, such as discussions, note sharing, commenting and Q&A, to alleviate the feelings of being disconnected and isolated. Through an empirical study, we also find that the longer a learner's registered time is, the lower the dropout ratio. From the perspective of the courses themselves, the dropout ratios of shorter or more difficult courses are lower than those of longer or less-difficult courses. This paper provides theoretical and practical recommendations for reducing the dropout ratio in online learning and improving learning efficiency.     

Audio peer feedback to promote deep learning in online education

We investigated the relation between providing and receiving audio peer feedback with a deep approach to learning within online education. Online students were asked to complete peer feedback assignments. Data through a questionnaire with 108 respondents and 14 interviews were used to measure to what extent deep learning was perceived and why. Results support the view that both providing and receiving audio peer feedback indeed promote deep learning. As a consequence of the peer feedback method, the following student mechanisms were triggered: “feeling personally committed,” “probing back and forth,” and “understanding one's own learning process.” Particularly important for both providing and receiving feedback is feeling personally committed. Results also show that mechanisms were a stronger predictor for deep learning when providing than when receiving. Given the context in which instructors face an increasing number of students and a high workload, students may be supported by online audio peer feedback as a method to choose a deep approach to learning.     

一种基于簇的极限学习机的在线学习算法

针对传统的批量学习算法学习速度慢、对空间需求量高的缺点,提出了一种基于簇的极限学习机的在线学习算法。该算法将分簇的理念融入到极限学习机中,并结合极限学习机,提出了一种基于样本类别和样本输出的分簇标准;同时提出了一种加权的Moore-Penrose算法求隐层节点与输出节点的连接权重。实验结果表明,该算法具有学习能力好、拟合度高、泛化性能好等优点。     

Perspectives on the evolution of online communities

The rapid growth of social networks opens interesting research opportunities to make use of the massive information exchanged in day-to-day communication. One of the active research issues related to this aspect is the study of online community formation and evolution in dynamic social networks. As community structure is usually ambiguous, then defining how it evolves over time becomes a challenge in terms of tracking mechanism and evaluation method. In this study, we review the online communities and their evolution tracking mechanisms and discuss the main categories of approaches for tracking community evolution and how they work. We analyse the different solutions proposed under each community evolution tracking category and provide an assessment of their projected performance. Finally, a discussion of analysis insights concerning community evolution and its influence is introduced.     

Social presence in online discussions as a process predictor of academic performance

With the steady development of online education and online learning environments, possibilities to support social interactions between students have advanced significantly. This study examined the relationship between indicators of social presence and academic performance. Social presence is defined as students' ability to engage socially with an online learning community. The results of a multiple regression analysis showed that certain indicators of social presence were significant predictors of final grades in a master's level computer science online course. Moreover, the study also revealed that teaching presence moderated the association between social presence and academic performance, indicating that a course design that increased the level of meaningful interactions between students had a significant impact on the development of social presence, and thus could positively affect students' academic performance. This is especially important in situations when discussions are introduced to promote the development of learning outcomes assessed in courses. Another implication of our results is that indicators of social presence can be used for early detection of students at risk of failing a course. Findings inform research and practice in the emerging field of learning analytics by prompting the opportunities to offer actionable insights into the reasons why certain students are lagging behind.     

Building professional holding environments for crowd work job crafting through online communities

Work is increasingly being organised via online platforms outside guiding organisational structures. Instead of having colleagues at work, crowd workers connect in online communities. We investigate how crowd workers build professional holding environments in online communities to compensate for the lack of organisational structures and we consider how they craft their crowd work activities to enhance their work experience and reduce its long-term precarity. Following a qualitative research design, this paper uses 675 forum interactions collected across six online communities. Based on our findings, we propose the concept of professional holding environments and provide a model for building such holding environments and job crafting in online communities. We thereby expand previous research on holding environments comprised of family members and friends by revealing the impact of professional online communities and their role in professionalisation and crafting supportive social structures in online crowd work.     

Gender differences and similarities in online courses: challenging stereotypical views of women

Abstract This paper considers gender differences in online contexts and examines current trends in women's performance, access and experience of online courses. It uses supportive case study examples and specific research into students' academic engagement, conceptions and perceptions of learning support in online environments. The analysis shows that women studying online are confident independent learners who may outperform their male counterparts. They do not have reduced computer and Internet access compared with men, nor are they disinclined to enrol on online courses. They attach greater value to the pastoral aspect of tutoring and have different interaction styles from men, which may have implications for online tutoring support. The gender debate needs to move on from access and performance to the differences and similarities in the degree of importance that men and women place on different interaction and tutoring styles online.     

Determinants of success for online communities: an empirical study

Although online communities can significantly facilitate collaboration among Internet users, the determinants of success of online communities have seldom been studied empirically. Using the updated DeLone and McLean information systems success model as a theoretical framework, this study proposes a research model to examine the determinants for successful use of online communities. Based on a survey of 165 community members, this study uses structural equation modelling (SEM) approach to investigate the research model. The analytical results strongly support the appropriateness of the research model in identifying the determinants of success of online communities. The analytical results also showed that system quality, information quality and service quality had a significant effect on member loyalty through user satisfaction and behavioural intention to use the online community. Finally, this study discusses the implications of these findings and offer directions for future research.     

Examining student satisfaction with wholly online learning

Learner satisfaction has been shown to be positively correlated with quality of learning outcomes. An understanding of the factors that influence student satisfaction with online learning in a particular context can be used as an input to the appropriate design of learning environments, and for the provision of targeted support to students, with an aim to positively influence the student online learning experience. Following the mandatory inclusion of at least one wholly online unit of study in all undergraduate programs at Deakin University, a large 'experiences of learning online' (ELO) survey was undertaken to gauge students' perceptions of studying in the wholly online mode. A multivariate linear regression of all the questionnaire items was performed against an overall satisfaction item. Five items were found to significantly contribute to a model that explained approximately 70% of reported student satisfaction. Factors that were found to positively influence student satisfaction with studying a wholly online unit primarily related to how confident they felt about their ability to communicate and learn online, having a clear understanding of what was required to succeed in the unit and how well they thought they were performing in the unit. Other results are also reported.     

Determinants of success for online communities: an empirical study

Although online communities can significantly facilitate collaboration among Internet users, the determinants of success of online communities have seldom been studied empirically. Using the updated DeLone and McLean information systems success model as a theoretical framework, this study proposes a research model to examine the determinants for successful use of online communities. Based on a survey of 165 community members, this study uses structural equation modelling (SEM) approach to investigate the research model. The analytical results strongly support the appropriateness of the research model in identifying the determinants of success of online communities. The analytical results also showed that system quality, information quality and service quality had a significant effect on member loyalty through user satisfaction and behavioural intention to use the online community. Finally, this study discusses the implications of these findings and offer directions for future research.