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ABSTRACTA key concern for most institutions and instructors is whether students are satisfied with their learning experience. However, relatively few studies have unpacked what the key drivers for learner satisfaction are in blended and online courses. Using logistical regression modelling, learner satisfaction data of 62,986 learners in 401 undergraduate blended and online modules was analyzed. The data included over 200 potential explanatory variables based on learner and module learning design characteristics. Findings indicate that learning design has a strong and significant impact on overall satisfaction for both new and continuing learners. Learners who are more satisfied with the quality of teaching materials, assessment strategies, and workload are more satisfied with the overall learning experience. Furthermore, long‐term goals of learners (i.e., qualifications and relevance of modules with learners' professional careers) are important predictors of learner satisfaction. Individual learner characteristics are mostly insignificant, indicating that despite a wide diversity of learners studying at the Open University, UK, the underlying learning experiences are similar. Future research should focus on how learning design changes can enhance the learning experiences of students.

Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Acknowledgments -- 1 MMSNA: an introduction of a tale of two communities -- Section 1 Why do mixed methods social network analysis? -- 2 Mapping mixed methods approaches to social network analysis in learning and education -- 3 Data collection for mixed method approaches in social network analysis -- 4 Integrating units of analysis -- 5 Visual methods and representations in mixed methods (and) social network research: a discussion -- 6 Minding the gap between culture and connectivity: laying the foundations for a relational mixed methods social network analysis -- 7 Ethnographic mixed methods social network analysis research: convergence, opportunities, and challenges -- 8 Mixed methods social network analysis to drive organizational development -- 9 Identity development through interactions in social networks: a complex systems approach -- Section 2 How do we do mixed methods social network analysis? -- 10 Social network analysis and activity theory: a symbiotic relationship -- 11 Exploring social relationships in "a mixed way": mixed structural analysis -- 12 Unpacking the collegial network structure of beginning teachers' primary school teams: a mixed method social network study -- 13 Around and around: the concentric circles method as a powerful tool to collect mixed method network data -- 14 Reflections about intersecting mixed methods research with social network analysis -- 15 The role of knowing and valuing others' expertise in accelerating information exchange -- 16 Is mixed methods social network analysis ethical? -- 17 Automation and the journey to mixed methods social network analysis -- 18 Power to the people?! Twitter discussions on (educational) policy processes -- 19 The PRICE of mixed methods social network analysis: toward an ethical process for MMSNA.

AbstractFlipped classroom (FC) approaches have gotten substantial attention in the last decade because they have a potential to stimulate student engagement as well as active and collaborative learning. The FC is generally defined as a strategy that flips the traditional education setting, i.e., the information transmission component of a traditional face-to-face lecture is moved out of class time. The FC relies on technology and is therefore suitable for online or blended learning, which were predominant forms of learning during the COVID-19 pandemic (March 2020–July 2021). In this paper we present a systematic literature review (SLR) of studies that covered online FC approaches in higher education during the pandemic. We analyzed 205 publications in total and 18 in detail. Our research questions were related to the main findings about the success of implementation of online FC and recommendations for future research. The findings indicated that those who had used FC approaches in face-to-face or blended learning environments more successfully continued to use them in online environments than those who had not used it before. The SLR opened possible questions for future research, such as the effectiveness of the FC for different courses and contexts, the cognitive and emotional aspects of student engagement, and students' data protection. It pointed to the need to examine different aspects of online delivery of the FC more comprehensively, and with more research rigor.

AbstractLearning analytics dashboards (LADs) can provide learners with insights about their study progress through visualisations of the learner and learning data. Despite their potential usefulness to support learning, very few studies on LADs have considered learners' needs and have engaged learners in the process of design and evaluation. Aligning with that, there is a limited understanding of what specific student cohorts, in particular distance and online learners, may seek from LADs to effectively support their studies. In this study, we present findings from 21 interviews with undergraduate distance learners, mainly high performers, that aimed to capture student perceptions about the usefulness of specific LAD features and the factors that explain these perceptions. Our findings revealed that amongst the LAD features favoured by students was the potential to receive study recommendations, whereas comparison with peers was amongst the least favoured elements, unless informed by qualitative information. Factors including information trust, attitudes, age, performance and academic self-confidence were found to explain these perceptions.

An increasing number of students, professionals, and job-recruiters are using Social Network Sites (SNSs) for sharing information. There has been limited research assessing the role of individuals seeking a job and receiving information about job openings in SNSs. In this regard, do students, non-managers, and managers benefit from job offers when they are a member of SNSs such as Facebook or LinkedIn? How can differences in receiving information about job openings be explained by the strength-of-weak-ties and structural holes theorems? Results of an online survey among 386 respondents indicate that users of SNSs with more contacts are more likely to receive information about job openings than others. Most information about job openings was transmitted via LinkedIn to professionals. Regression analyses indicate that LinkedIn professionals with more links are more likely to receive information about a job opening. In contrast, the structural holes theory is not supported in this setting. The authors argue that Higher education should actively encourage and train students to use LinkedIn to enhance their employability. Finally, new generation graduates' use of technology for different tasks and with different people than professionals is considered.