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Enhancing the student learning experience through greater engagement and interaction in Mathematics and Statistics

Enhancing the student learning experience through greater engagement and interaction in Mathematics and Statistics

Ramesh, Nadarajah (2012) Enhancing the student learning experience through greater engagement and interaction in Mathematics and Statistics. In: STEM Annual Conference 2012: Aiming for excellence in STEM learning and teaching. Proceedings. The Higher Education Academy, London / York. ISBN 9781907207457

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Abstract

The student learning experience is a key element of successful provision in higher education institutions. In fact it plays a vital part in teaching and learning as it lays the foundation for developing students’ knowledge and understanding of the subject as well as building up their confidence and employability skills. A positive learning experience stems from active engagement with the lesson and greater interaction in learning activities. This paper describes how the student learning experience is enhanced using greater engagement and interaction in Mathematics and Statistics classes using Electronic Voting Systems (EVS) and other learning-related activities at our Institution.

Item Type: Conference Proceedings
Title of Proceedings: STEM Annual Conference 2012: Aiming for excellence in STEM learning and teaching. Proceedings
Additional Information: [1] This paper was first presented at the Higher Education Academy's (HEA) STEM first Annual Conference held from 12-13 April 2012 at Imperial College London and the Royal Geographical Society, London, UK.
Uncontrolled Keywords: learning experience, student engagement, interaction, mathematics, EVS, employability
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > Q Science (General)
Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:24
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/9895

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