Titlebook: Methods for Researching Professional Learning and Development; Challenges, Applicat Michael Goller,Eva Kyndt,Crina Damşa Book 2022 The Edit

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Investigating Interaction Dynamics: A Temporal Approach to Team Learningfrom one another through formal or informal learning experiences. Team learning is therefore a continuously changing phenomenon that develops and evolves over time as teams interact. In this chapter, we aim to promote the investigation of team learning as a temporal phenomenon, and suggest that its

Oratory

Bayesian Statistics in the Research Field of Professional Learning and Developmenttistics. It will start by briefly explaining why the frequentist (so-called classical) approach to analysing empirical data in professional learning and development research is so popular. Also, some conditions when this approach might not be the best solution is discussed and contrasted to the Baye

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A Primer to Latent Profile and Latent Class Analysisiduals in unobserved groups. Their primary goals are probing whether and, if so, how many latent classes can be identified in the data and estimating their proportional size and response profiles. Moreover, latent class membership can serve as a predictor or outcome for external variables. Substanti

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Participant’s Video Annotations as a Database to Measure Professional Developmentstructures are opaque and, therefore, can hardly be measured. The rise of studies in this research field is due to new opportunities offered by modern technologies to grasp more subtle elements of professional development (e.g., tools to measure skin conductance response and eye tracking, and to tak

CLASH

Data Mining and Analytics in the Context of Workplace Learning: Benefits and Affordancesocesses in organisations. The increased availability of vast and highly varied amounts of data from settings in the context of workplace learning is overwhelming. This chapter outlines standards in data mining with a specific focus on data from workplace learning. Further, different data mining and

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cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics, and life science, as well as the methodologies behind them..The book contains monographs, lecture notes, and edited volumes in computational intelli