Despite the promises of learning analytics and the existence of several learning analytics implementation frameworks, the large-scale adoption of learning analytics within higher educational institutions remains low. Extant frameworks either focus on a specific element of learning analytics implementation, for example, policy or privacy, or lack operationalization of the organizational capabilities necessary for successful deployment. Therefore, this literature review addresses the research question “What capabilities for the successful adoption of learning analytics can be identified in existing literature on big data analytics, business analytics, and learning analytics?” Our research is grounded in resource-based view theory and we extend the scope beyond the field of learning analytics and include capability frameworks for the more mature research fields of big data analytics and business analytics. This paper’s contribution is twofold: 1) it provides a literature review on known capabilities for big data analytics, business analytics, and learning analytics and 2) it introduces a capability model to support the implementation and uptake of learning analytics. During our study, we identified and analyzed 15 key studies. By synthesizing the results, we found 34 organizational capabilities important to the adoption of analytical activities within an institution and provide 461 ways to operationalize these capabilities. Five categories of capabilities can be distinguished – Data, Management, People, Technology, and Privacy & Ethics. Capabilities presently absent from existing learning analytics frameworks concern sourcing and integration, market, knowledge, training, automation, and connectivity. Based on the results of the review, we present the Learning Analytics Capability Model: a model that provides senior management and policymakers with concrete operationalizations to build the necessary capabilities for successful learning analytics adoption.
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The present study aimed to develop a football-specific self-report instrument measuring self-regulated learning in the context of daily practice, which can be used to monitor the extent to which players take responsibility for their own learning. Development of the instrument involved six steps: 1. Literature review based on Zimmerman's (2006) theory of self-regulated learning, 2. Item generation, 3. Item validation, 4. Pilot studies, 5. Exploratory factor analysis (EFA), and 6. Confirmatory factor analysis (CFA). The instrument was tested for reliability and validity among 204 elite youth football players aged 13-16 years (Mage = 14.6; s = 0.60; 123 boys, 81 girls). The EFA indicated that a five-factor model fitted the observed data best (reflection, evaluation, planning, speaking up, and coaching). However, the CFA showed that a three-factor structure including 22 items produced a satisfactory model fit (reflection, evaluation, and planning; non-normed fit index [NNFI] = 0.96, comparative fit index [CFI] = 0.95, root mean square error of approximation [RMSEA] = 0.067). While the self-regulation processes of reflection, evaluation, and planning are strongly related and fit well into one model, other self-regulated learning processes seem to be more individually determined. In conclusion, the questionnaire developed in this study is considered a reliable and valid instrument to measure self-regulated learning among elite football players.
This chapter explores qualitative career assessment as an identity learning process where meaning-oriented learning is essential and distinguished from conditioned or semantic types of learning. In order to construct a career identity in the form of a future-oriented narrative, it is essential that learners are helped through cognitive learning stages with the help of a dialogue about concrete experiences which aims to pay attention to emotions and broadens and deepens what is expressed.
Tango is among the most widespread world music genres nowadays. However, only partial information about the elements and techniques of composing, arranging and performing tango has been documented and made available so far. This research project aims at investigating tango’s main aspects in the oeuvre of relevant tango musicians, promoting its creative practice and expanding its artistic community. By making the implicit knowledge in scores and recordings explicit and ready for creative use by the greater artistic community, tango can be preserved, on one side; and musicians can experiment and reach new artistic horizons, securing its continuation and development as vivid, contemporary music, on the other. The project has two research questions: 1. What are the main features and techniques of tango music composition, arrangement and performance? 2. How can musicians nowadays integrate these features and techniques into their practice to deepen their understanding and enhance their artistic creations and performances? This research uses a mixed method design, including the analysis of scores and recordings, literature review, interviews, observational studies and experimentation. It expands the artistic community on the topic and bridges two top-notch institutions devoted to tango learning: Codarts and UNSAM (Argentina). The research also endeavours improvements in the Codarts curriculum as it complements and expands its educational programme by providing students with research tools to enhance their creative practice. Theoretical and artistic outcomes will be documented and disseminated in concerts, concert-lectures, papers, articles and a tailor-made website containing compositions, arrangements, videos, text, musical examples and annotated scores, so as to record: a) the musical materials and techniques found in the analysed scores and recordings, together with their applications in practice and performance; b) the artistic processes, reflections and production of the participants; c) information on how to create, arrange and perform tangos.
