Social networks,communication styles,and learning performance in a CSCL community

The aim of this study is to empirically investigate the relationships between communication styles, social networks, and learning performance in a computer-supported collaborative learning (CSCL) community. Using social network analysis (SNA) and longitudinal survey data, we analyzed how 31 distributed learners developed collaborative learning social networks, when they had work together on the design of aerospace systems using online collaboration tools. The results showed that both individual and structural factors (i.e., communication styles and a pre-existing friendship network) significantly affected the way the learners developed collaborative learning social networks. More specifically, learners who possessed high willingness to communicate (WTC) or occupied initially peripheral network positions were more likely to explore new network linkages. We also found that the resultant social network properties significantly influenced learners’ performance to the extent that central actors in the emergent collaborative social network tended to get higher final grades. The study suggests that communication and social networks should be central elements in a distributed learning environment. We also propose that the addition of personality theory (operationalized here as communication styles) to structural analysis (SNA) contributes to an enhanced picture of how distributed learners build their social and intellectual capital in the context of CSCL.     

Effect of online social networking on student academic performance

Online social networks (OSNs) have permeated all generations of Internet users, becoming a prominent communications tool, particularly in the student community. Thus, academic institutions and faculty are increasingly using social networking sites, such as Facebook and LinkedIn, to connect with current and potential students and to deliver instructional content. This has led to a rise in questions about the impact of OSN on academic performance and the possibility of using it as an effective teaching tool. To learn more about the impact on academic performance, we conducted a survey of business students at a large state university. Survey results were analyzed using structural equation modeling (SEM). The results revealed a statistically significant negative relationship between time spent by students on OSN and their academic performance. The time spent on OSN was found to be heavily influenced by the attention span of the students. Specifically, we determined that the higher the attention span, the lower is the time spent on OSN. Further, attention span was found to be highly correlated with characteristics that predict or influence student behavior, such as their perceptions about society’s view of social networking, their likes and dislikes of OSN, ease of use of OSN, etc.     

Investigating patterns of interaction in networked learning and computer-supported collaborative learning: A role for Social Network Analysis

The focus of this study is to explore the advances that Social Network Analysis (SNA) can bring, in combination with other methods, when studying Networked Learning/Computer-Supported Collaborative Learning (NL/CSCL). We present a general overview of how SNA is applied in NL/CSCL research; we then go on to illustrate how this research method can be integrated with existing studies on NL/CSCL, using an example from our own data, as a way to synthesize and extend our understanding of teaching and learning processes in NLCs. The example study reports empirical work using content analysis (CA), critical event recall (CER) and social network analysis (SNA). The aim is to use these methods to study the nature of the interaction patterns within a networked learning community (NLC), and the way its members share and construct knowledge. The paper also examines some of the current findings of SNA analysis work elsewhere in the literature, and discusses future prospects for SNA. This paper is part of a continuing international study that is investigating NL/CSCL among a community of learners engaged in a master’s program in e-learning.     

Sharing instructors experience of learning management system: A technology perspective of user satisfaction in distance learning course

The use of educational technology increased rapidly in higher education. Learning Management System (LMS) is the most popular educational technology system used in distance learning. There are only a few studies have been carried out to measure instructors satisfaction in distance learning courses, although instructors satisfaction is considered as very important for the course involvement and increasing the students interactions with the course content. Hence, this study proposed a detailed framework to measure instructors’ satisfaction of using LMS. The findings prove that perceived usefulness and service quality are taking the highest share on affecting the instructor satisfactions. This study limited to higher education’s instructors and used a questionnaire survey to collect the data. Hence, the LMS should be designed based on the needs of the instructors as well as the students, by adopting the latest technologies. In the contrary, building LMS without taking the instructors’ satisfaction into account will affect negatively the distance learning course outcomes.     

The impact of faculty perceived reconfigurability of learning management systems on effective teaching practices

This study explores whether learning management systems (LMSs) enable faculty course developers to use the reconfigurable characteristics of the software to implement the seven principles of effective teaching (Chickering & Gamson, 1987). If LMSs are to be considered pedagogically effective, these systems must help engage faculty in effective teaching practices.A model is presented that contends: (1) faculty course developers' perceptions of interface reconfigurability, interaction reconfigurability, and content reconfigurability of the software facilitate LMS use for effective teaching practices and (2) the LMS use to implement these effective teaching practices enhances faculty perceived benefits. The model is tested using a sample of 379 faculty respondents. The results suggest that all three system reconfigurability dimensions have significant impacts on helping faculty use LMS to implement effective teaching practices. Interaction reconfigurability has the strongest relationship with the seven principles. The theoretical and practical implications of the findings are discussed.     

Exploratory study on the patterns of online interaction and knowledge co-construction in project-based learning

This study aims to investigate the patterns and the quality of online interaction during project-based learning (PjBL) on both micro and macro levels. To achieve this purpose, PjBL was implemented with online group activities in an undergraduate course. Social network analysis (SNA) and content analysis were employed to analyze online interaction during project work. According to the SNA results generated from the online discussion boards, the group cohesiveness of seven teams, indicated by density indices, varied considerably, from as low as 9.81 to as high as 30.00. Regarding the content analysis of two teams with high project scores (Teams F and G), team members not only shared information (Phase I), but also identified the areas of disagreement and clarified the goals and strategies (Phase II). They also conducted some negotiations (Phase III). However, team members with low project scores (Teams C and E) shared information and stated their opinions in most cases (Phase I), with not much social construction in the higher level. Although both Team C and G showed high level of group cohesiveness among the seven teams, it is notable that the high-performing Team G dedicated nearly 39.3 percent of online discussion to negotiating and co-constructing knowledge, contrary to the 5.9 percent of low-performing Team C. Based upon the findings, some implications were proposed for further research.     

Factors impacting university students' online learning experiences during the COVID-19 epidemic

Due to the COVID-19 epidemic crisis, students from higher education institutions around the world are forced to participate in comprehensive online curriculums. In such a scenario, it is worth investigating how students perceived their learning outcomes and satisfaction based on this method of teaching and learning online. This study aims to explore the role of six factors, namely, system quality, course design, learner-learner interaction, learner-instructor interaction, learner-content interaction, and self-discipline, on university students' perceived learning outcomes and their effect on student satisfaction with online curricula during the COVID-19 epidemic. A structural equation modelling technique was used to assess survey questionnaires obtained from 457 validated students at a Public University in China. The results demonstrated that these determinants had a positive effect on satisfaction and learning outcomes, whereas learner-instructor interaction had no significant effect. Furthermore, the strongest determinant that affected not only students' satisfaction but also their learning outcomes was the learner-content interaction.     

Social presence in relation to students' satisfaction and learning in the online environment: A meta-analysis

Social presence, the ability to perceive others in an online environment, has been shown to impact student motivation and participation, actual and perceived learning, course and instructor satisfaction, and retention in online courses; yet very few researchers have attempted to look across contexts, disciplinary areas, or measures of social presence. This meta-analysis allowed us to look across these variables of the primary studies and identify the pattern of student outcomes (e.g., perceived learning and satisfaction) in relation to social presence through scrutiny of differences between the studies. The results showed a moderately large positive average correlation between social presence and satisfaction (r = 0.56, k = 26) and social presence and perceived learning (r = 0.51, k = 26). Large variation among correlations (86.7% for satisfaction and 92.8% for perceived learning, respectively) also indicated systematic differences among these correlations due to online course settings. We found that (a) the strength of the relationship between social presence and satisfaction was moderated by the course length, discipline area, and scale used to measure social presence; and (b) the relationship between social presence and perceived learning was moderated by the course length, discipline area, and target audience of the course. Implications and future research are discussed.     

Mutual development in mass collaboration: Identifying interaction patterns in customer-initiated software product development

In this paper we investigate computer-supported collaborative learning (CSCL) and innovation in a large-scale distributed setting. Get Satisfaction (GS), a social media platform for involving customers in product development activities, is our case study. In order to identify how end users contribute to product development, we researched the interactions between end users, champions, and professional developers in this online community as they jointly constructed a shared artifact (a web application). We collected publicly available platform interaction data over a six-month period (N = 229 users). The methods we employed are social network analysis (SNA) and interaction analysis (IA), which we combined in a mixed-methods design. At the network level, we identified key actors according to centrality measures. At the interaction level, we zoomed in on specific interactions. We propose a model of mass collaboration in terms of four interaction patterns: 1) gatekeeping, control of excessive information sharing, 2) bridge building, spreading information across groups in the network, 3) general development, allowing professional developers to create new software functionality and update existing software, and 4) user-user collaboration, facilitating non-centrally organized development activities, ranging from feature requests to local development. We discuss our findings and compare them with related research.     

Awareness of cognitive and social behaviour in a CSCL environment

Most distributed and virtual online environments for and pedagogies of computer‐supported collaborative learning (CSCL) neglect the social and social‐emotional aspects underlying the group dynamics of learning and working in a CSCL group. These group dynamics often determine whether the group will develop into a well‐performing team and whether a sound social space emerges. Using a theory‐based CSCL framework, two studies evaluated whether two tools, Radar and Reflector, supported cognitive, social and socio‐emotional aspects of team development, encouraging promotive interaction and group processing in the teams. While not affecting product quality, tool use did lead to groups who perceived their team as being better developed, as having higher levels of group satisfaction and lower levels of conflicts. The results support that promotive interaction and group processing was increased by using Radar and Reflector.     

The relationships among group size,participation, and performance of programming language learning supported with online forums

This study examined the relationships among group size, participation, and learning performance factors when learning a programming language in a computer-supported collaborative learning (CSCL) context. An online forum was used as the CSCL environment for learning the Microsoft ASP.NET programming language. The collaborative-learning experiment was performed with one large group and 15 small groups.A total of 120 students participated in this experiment as part of a half-semester ASP.NET programming language course. The course contained an online forum for supporting the students' social activities and participation. This study used a participation-weighted rate for different participation types. A ‘learning score’ and a ‘learning satisfaction’ score were used to measure learning performance.The results of this study were as follows: (1) the online forum support aided collaborative learning, regardless of group size; (2) group sizes did not significantly influence learning scores directly but significantly influenced participation, and small groups had higher participation rates, which positively influenced learning scores; and (3) learning satisfaction using the online forum was higher than the average score. Small groups had higher learning satisfaction rates, and participation did not significantly influence learning satisfaction.Due to this study's results, we recommend that programs design instruction with small groups for teaching programming languages in online forums, support student-centered discussions, and encourage high levels of student participation to increase learning performance.     

Translating networked learning: un-tying relational ties

Abstract   This article explores the social network of learning beyond a functional understanding of social relations. It describes and interprets the realities of networked learning within a particular postgraduate course in an English university setting. It draws attention to some of the limitations of the increasing interest in the use of social network analysis (SNA) alongside content analysis of recent studies in the field of networked learning. In particular, SNA has been used to analyse response relations among participants in online discussions in terms of, for example, density and centrality. It argues for a different approach to a network of learning, focusing on the relational effects of multiple technical and social arrangements and engagements beyond the response relations the online environment is able to capture and store. This approach emphasizes network processes rather than network structures.     

Investigating the relationships among instructional strategies and learning styles in online environments

This exploratory study tests the assertion that instructional strategies that match field-dependence status of students are most effective. The study conducted with 12 graduate students registered in a graduate level online course. An online version of the Psychological Differentiation Inventory was used to measure the field-dependence status of students. Students’ perceived learning outcomes, their effort and involvement, and level of interaction that they perceived in online course module were measured through an online questionnaire. Results suggested that matches between students’ learning styles and instructional strategies did not affect learner perception of their own learning outcomes, level of effort and involvement, and level of interactions in the course. Data also indicated that no single instructional strategy, among three instructional strategies tested, emerged as superior for high and low field-dependent online students.     

Saving time or innovating practice: Investigating perceptions and uses of Learning Management Systems

Learning Management Systems (LMS) are web-based systems that allow instructors and/or students to share materials, submit and return assignments, and communicate online. In this study, we explored the uses and perceived benefits of using a LMS to support traditional classroom teaching as reported by instructors and students at a large American Midwestern university. We examined two years of survey data focusing on specific uses of the LMS that emphasized either efficient communication or interactive teaching and learning practices. We matched aggregate user log data with corresponding survey items to see if system use was consistent with patterns seen in the survey results. Findings suggest that instructors and students value tools and activities for efficient communication more than interactive tools for innovating existing practices. However, survey item analysis reveals that instructors and students also highly value the teaching and learning tools within the LMS.     

Developing early warning systems to predict students’ online learning performance

An early warning system can help to identify at-risk students, or predict student learning performance by analyzing learning portfolios recorded in a learning management system (LMS). Although previous studies have shown the applicability of determining learner behaviors from an LMS, most investigated datasets are not assembled from online learning courses or from whole learning activities undertaken on courses that can be analyzed to evaluate students’ academic achievement. Previous studies generally focus on the construction of predictors for learner performance evaluation after a course has ended, and neglect the practical value of an “early warning” system to predict at-risk students while a course is in progress. We collected the complete learning activities of an online undergraduate course and applied data-mining techniques to develop an early warning system. Our results showed that, time-dependent variables extracted from LMS are critical factors for online learning. After students have used an LMS for a period of time, our early warning system effectively characterizes their current learning performance. Data-mining techniques are useful in the construction of early warning systems; based on our experimental results, classification and regression tree (CART), supplemented by AdaBoost is the best classifier for the evaluation of learning performance investigated by this study.     

Exploring sustained participation in firm-hosted communities in China: the effects of social capital and active degree

Firm-hosted online communities are user-centred, and their efficacy depends on the users’ sustained participation. This study investigated the impact of social capital on users’ continued usage intention. Specifically, since very little work has been done to explore the antecedents of social capital, we tested the role of operator-related and individual-related factors in cultivating social capital by proposing an integrated research model to fill this gap. Furthermore, to gain deeper insights into continuance intention, we postulate that active degree moderates the relationship between social capital and users’ continued usage intention. Our model is empirically examined using survey data collected from 373 members of a well-known firm-hosted online community in China. The results reveal that the firm’s reaction, offline activities, interaction support, seeking reputation and perceived enjoyment are the significant antecedents of social capital. Additionally, social tie and shared vision exert a stronger effect on continued usage intention for active users, whereas identification has a higher influence on continued usage intention for inactive users. Finally, this study discusses the theoretical and practical implications of these findings and provides possible directions for future research.     

The strengths,weaknesses, opportunities and threats of using social software in higher and further education teaching and learning

Social software is increasingly being used in higher and further education to support teaching and learning processes. These applications provide students with social and cognitive stimulation and also add to the interaction between students and educators. However, in addition to the benefits the introduction of social software into a course environment can also have adverse implications on students, educators and the education institution as a whole, a phenomenon which has received much less attention in the literature. In this study we explore the various implications of introducing social software into a course environment in order to identify the associated benefits, but also the potential drawbacks. We draw on data from 20 social software initiatives in UK‐based higher and further education institutions to identify the diverse experiences and concerns of students and educators. The findings are presented in form of a SWOT analysis, which allows us to better understand the otherwise ambiguous implications of social software in terms of its strengths, weaknesses, opportunities and threats. From the analysis we have derived concrete recommendations for the use of social software as a teaching and learning tool.     

Which social elements are visible in virtual groups? Addressing the categorization of social expressions

Learning is a social process. That is why it is extremely important to understand how students interact socially in online courses and how it affects the learning process. However, social aspects, understood as those expressions or comments that go beyond strictly academic interaction, i.e. the need to carry out group work, are not clearly defined. Researchers have proposed different models of categories to observe or measure social aspects. This paper contributes to this field through addressing the categorization of social expression in online groups through a qualitative research procedure. Specifically, 19 indicators have been identified and organized into 4 categories: formal, attitudinal, emotional and informal. The findings suggest that those indicators related to formal and attitudinal aspects appear more often than emotional and informal ones. Different profiles (Psychology or Computer Engineering) as well as different levels of experience in online learning (beginners or experts) have also been analyzed, concluding that Psychology students turn to social expressions more often than Computer Engineering ones. As students progress in their undergraduate studies, social expressions are perceived and used to the extent that they ease the learning process.     

Examining effectiveness of communities of practice in online English for academic purposes (EAP) assessment in virtual classes

The literature on English for academic purposes (EAP) methodology highlights the significance of learners' engagement in learning language (Hyland, 2006) in mainstream general and online contexts. Blogs have been recommended in many studies as having the potential to bring the sense of community and collaboration in online classes. Therefore, this study sought to investigate whether blogs in large classes would help students enhance their perceptions of learning. To this end, Forty-two undergraduate students of Information Technology (IT) at an Iranian university participated in a weblog writing course in order to promote collaboration and reflective learning. Instrumentation included a questionnaire of perceived learning and sense of community, semi-structured interviews, and participant observations. The findings revealed a significant difference in perceived learning between the students with low sense of community and those with a high sense of community. Based on the qualitative findings of the study, we suggest an assessment framework incorporating constructivist and social-interactionist theories of learning in order to treat students as members of a community of learning. The findings may promise implications for gearing EAP assessment to more collaborative modes in online courses and suggest a model framework for the assessment of students in EAP online classes.