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Conference Paper/Proceeding/Abstract 640 views

Pedagogical evaluation employing Turning Technology student response system (or how to make your teaching better using Clickers)

David Gallimore Orcid Logo

Swansea Academy of Learning and Teaching annual conference 2015

Swansea University Author: David Gallimore Orcid Logo

Abstract

Teaching large groups of students sitting at some distance in enormous lecture halls can often be problematic. The lecturer is often left unclear as to depth of the learning taking place, if any at all. Numerous approaches have been suggested to evaluate the level of student interaction and learning...

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Published in: Swansea Academy of Learning and Teaching annual conference 2015
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa29030
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Abstract: Teaching large groups of students sitting at some distance in enormous lecture halls can often be problematic. The lecturer is often left unclear as to depth of the learning taking place, if any at all. Numerous approaches have been suggested to evaluate the level of student interaction and learning in lead lectures. These range from the students simply being asked to hold up cards for voting to more complex web based solutions using the students’ smart phones or tablets. One technique that has been used widely in Swansea University is the Turning Technologies student engagement system, more commonly known as “clickers”. These have been shown to increase engagement of students when being taught in large groups, and can enhance their learning. Competitive elements such as quizzes can be set up using clickers and the students can compete based on formal groups, seating area of the lecture hall, or gender. The aim of this presentation is to demonstrate the often less used element of clickers that allow the academic to evaluate the learning that has been achieved in the lecture. This is by using the Manage tab of the Turning Technologies software. At the most basic level this data can inform the lecturer which area of the topic the students find the most difficult. More usefully the data can also be analysed by demographic and academic categories such as educational background, age range, gender, and any almost any parameters the lecturer feels is relevant.
Keywords: Student response system, clickers, evaluation, student feedback,
College: College of Human and Health Sciences