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The generation of student engagement as a cognition-affect-behaviour process in a Twitter learning experience
Author(s) -
Raúl PérezLópez,
Raquel Gurrea-Sarasa,
Carolina Herrando,
María José MartínDe Hoyos,
Victoria BordonabaJuste,
Ana Utrillas-Acerete
Publication year - 2020
Publication title -
australasian journal of educational technology
Language(s) - English
Resource type - Journals
eISSN - 1449-5554
pISSN - 1449-3098
DOI - 10.14742/ajet.5751
Subject(s) - microblogging , social media , affect (linguistics) , process (computing) , student engagement , psychology , cognition , collaborative learning , sample (material) , active learning (machine learning) , computer science , mathematics education , world wide web , chemistry , communication , chromatography , neuroscience , artificial intelligence , operating system
Twitter is a microblog that allows users to interact about a topic in online discussion. This makes it an interesting interactive tool with possibilities to increase student engagement and learning performance through active collaboration in an informal learning environment. However, few articles take a quantitative approach to investigate the creation of student engagement using this social networking site. To address this gap, we propose a series of activities conducted through Twitter to analyse the engagement generation process in a sample of 110 students in the first year of a business and administration degree at a large Spanish university. The results show that the engagement process is created through active collaborative learning and enjoyment, and that engaged students are more satisfied with the activity and perceive greater learning performance. This leads us to recommend teachers to encourage active and collaborative activities to make students more engaged and satisfied, and improve their performance.

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