Feedback images in university teaching
2019
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This contribution seeks to draw attention to the management of visual feedback processes to promote active learning within the scope of university didactics. Specifically, the focus is on the production of feedback-images by the students in e-learning platforms, with particular reference to their impact of learning and on the motivational dimension. For this purpose, an experimentation is presented within an e-learning university training pathway, finalised to understanding how feedback of a visual nature can support from the cognitive, socio-relational and emotional point of view the students’ learning processes. Immagini-feedback nella didattica universitaria. Questo contributo vuole fermare l’attenzione sulla gestione dei processi di feedback visivi per promuovere apprendimenti attivi nell’ambito della didattica universitaria. Nello specifico, il focus è rivolto alla produzione di immagini-feedback da parte degli studenti all’interno di piattaforme e-learning, con particolare riferimento al loro impatto sull’apprendimento e sulla dimensione motivazionale. A questo scopo viene presentata una sperimentazione effettuata all’interno di un percorso formativo universitario e-learning, finalizzata a comprendere come i feedback di natura visuale possono sostenere da un punto di vista cognitivo, socio-relazionale ed emotivo il processo di apprendimento degli studenti.
Bibliographic Details
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