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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Datasets from the study Peer learning as a key component of an Integrated Teaching Method in large size classes

Authors: Matteo Bozzi; Juliana Raffaghelli; Maurizio Zani;

Datasets from the study Peer learning as a key component of an Integrated Teaching Method in large size classes

Abstract

The theory and research on learning in higher education are pointing out that active methods are able to improve learners’ performance more than passive ones and to trigger situated and deep learning. However, some factors prevent their spread and trust amongst university instructors, like their complex logistics in large size lectures. Indeed, in academic crowded classes these interactive-engagement methodologies are sporadically employed and seem to be rarely successful. In this context, in the academic years 2017-2018 and 2018-2019 we carried out a quasi-experiment at Politecnico di Milano aimed at investigating the effectiveness of the integration of peer learning activities, strengthened by the use of technology, into traditional Physics lectures as a teaching method in large size classes. Data related to both an experimental and a control group were gathered and analysed through descriptive and inferential statistics; Shapiro-Wilk, Levene, Mann-Whitney U, Wilcoxon signed-rank and Kruskal-Wallis tests were employed. Our combined strategy appears to be effective with relation to learning Physics and more successful than traditional courses centred on academic lectures, regardless of the difficulty of the issues investigated. Furthermore, a threshold for the exposure to peer learning in order for it to be effective has been highlighed. In this page it is shared: 1) Dataset with reference to both 2017-2018 and 2018-2019 2) R Script with reference to both 2017-2018 and 2018-2019

Keywords

Peer learning, Physics teaching, higher education, large size classes, active learning, BYOD, students response systems, traditional lectures, Physics educational research, STEM

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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