Anglia Ruskin Research Online (ARRO)
Browse
Eleot2015_Extended.pdf (115.03 kB)

Using Augmented Reality to Engage STEM Students with an Authentic Curriculum

Download (115.03 kB)
conference contribution
posted on 2023-08-30, 14:17 authored by Mike Hobbs, Debbie Holley
This paper reports on the introduction of a set of 'Augmented Reality' (AR) tasks, offering an innovative, real world and problem based set of activities for a group of first year University Gaming and Computer Science students. Our initial research identifies a gap in the perceptions of STEM students between the usefulness of discipline based modules and a compulsory 'Professional Development' module where more ‘employability’ based skills were delivered. It had a history of poor student engagement and attendance, and failed to provide a compelling narrative/links to the outside world. The AR tasks were designed to facilitate group-working and multi-channel communication, and to engage students through the use of a more creative technology. Framed as a rich case study, insights are captured through student blogs, video interviews and a questionnaire. Initial findings indicate higher levels of satisfaction, enhanced student engagement and a greater awareness of the value of transferable skills.

History

Volume

160

Page range

110-117

Number of pages

218

Series

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Publisher

Springer

Place of publication

Cham

ISBN

978-3-319-28882-6

Conference proceeding

E-Learning, E-Education, and Online Training: Second International Conference, eLEOT 2015

Name of event

eLEOT: Second International Conference on E-Learning, E-Education, and Online Training

Location

Novedrate, Italy

Event start date

2015-09-16

Event finish date

2015-09-18

Editors

Giovanni Vincenti, Alberto Bucciero, Carlos Vaz de Carvalho

File version

  • Accepted version

Language

  • eng

Legacy posted date

2016-06-15

Legacy creation date

2020-06-18

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC