Educational innovation in economics and business IX: - download pdf or read online

By Richard G. Milter, Valerie S. Perotti, Mien S.R. Segers

ISBN-10: 140203170X

ISBN-13: 9781402031700

This selection of articles describing various points of the advancements happening in modern-day place of work and the way they have an effect on company schooling presents really international insurance of innovation within the box.

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Extra info for Educational innovation in economics and business IX: Breaking boundaries for global learning

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Parcels were selected on both the similarity of item wordings and on descriptive item characteristics. In this research, a confirmatory factor analysis for the several measurement models (of inputs, of process variables, of outputs) is the first step in the model analysis, meaning that we set out to statistically test an a priori hypothesized factor structure that draws on knowledge of the theoretical structure of the variables. An exploratory factor analysis was undertaken whereby an improvement of the factor structure was investigated.

INTRODUCTION Research has shed light on different perspectives that are relevant to making collaborative learning successful (Slavin, 1996). Based on that research, we are able to develop quantitative models that explain the success of a collaborative learning group in terms of underlying motivational, cognitive, and interactional processes (Dolmans, Wolfhagen, & Van der Vleuten, (1998). Having measured the extent to which students in a problem-based learning group motivate each other, form a cohesive group, participate actively, or in contrast, sponge or withdraw, these models contribute to our understanding of why some groups are productive, and others are not.

In contrast to other research in this area, Vermunt starts from a broad and integrative definition of individual differences in learning. Based on that definition, the self-report instrument Inventory of Learning Styles (ILS) was constructed, covering four learning components: see Table 1. Table 1. Vermunt’s ILS Domains, Scales, and Subscales Domain AI: Processing strategies Scale 1: Deep processing, consisting of: Subscale 1a: Relating and structuring, and Subscale 1b: Critical processing; Scale 2: Stepwise processing, consisting of: Subscale 2a: Memorizing and rehearsing, and Subscale 2b: Analyzing; Scale 3: Concrete processing.

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Educational innovation in economics and business IX: Breaking boundaries for global learning by Richard G. Milter, Valerie S. Perotti, Mien S.R. Segers


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