Talking back to theory: the missed opportunities in learning technology research

Research into learning technology has developed a reputation for being drivenby rhetoric about the revolutionary nature of new developments, for payingscant attention to theories that might be used to frame and inform research, andfor producing shallow analyses that do little to inform the practice...

Full description

Bibliographic Details
Main Authors: Martin Oliver, Sue Bennett
Format: Article
Language:English
Published: Association for Learning Technology 2011-12-01
Series:Research in Learning Technology
Online Access:http://www.researchinlearningtechnology.net/index.php/rlt/article/view/17108
id doaj-02c28c51c49a4a8697fffb31ca221f28
record_format Article
spelling doaj-02c28c51c49a4a8697fffb31ca221f282020-11-25T00:01:29ZengAssociation for Learning Technology Research in Learning Technology2156-70692156-70772011-12-0119310.3402/rlt.v19i3.17108Talking back to theory: the missed opportunities in learning technology researchMartin OliverSue BennettResearch into learning technology has developed a reputation for being drivenby rhetoric about the revolutionary nature of new developments, for payingscant attention to theories that might be used to frame and inform research, andfor producing shallow analyses that do little to inform the practice of education.Although there is theoretically-informed research in learning technology, this isin the minority, and has been actively marginalised by calls for applied designwork. This limits opportunities to advance knowledge in the field. Using threeexamples, alternative ways to engage with theory are identified. The paper concludesby calling for greater engagement with theory, and the development of ascholarship of learning technology, in order to enrich practice within the fieldand demonstrate its relevance to other fields of work.http://www.researchinlearningtechnology.net/index.php/rlt/article/view/17108
collection DOAJ
language English
format Article
sources DOAJ
author Martin Oliver
Sue Bennett
spellingShingle Martin Oliver
Sue Bennett
Talking back to theory: the missed opportunities in learning technology research
Research in Learning Technology
author_facet Martin Oliver
Sue Bennett
author_sort Martin Oliver
title Talking back to theory: the missed opportunities in learning technology research
title_short Talking back to theory: the missed opportunities in learning technology research
title_full Talking back to theory: the missed opportunities in learning technology research
title_fullStr Talking back to theory: the missed opportunities in learning technology research
title_full_unstemmed Talking back to theory: the missed opportunities in learning technology research
title_sort talking back to theory: the missed opportunities in learning technology research
publisher Association for Learning Technology
series Research in Learning Technology
issn 2156-7069
2156-7077
publishDate 2011-12-01
description Research into learning technology has developed a reputation for being drivenby rhetoric about the revolutionary nature of new developments, for payingscant attention to theories that might be used to frame and inform research, andfor producing shallow analyses that do little to inform the practice of education.Although there is theoretically-informed research in learning technology, this isin the minority, and has been actively marginalised by calls for applied designwork. This limits opportunities to advance knowledge in the field. Using threeexamples, alternative ways to engage with theory are identified. The paper concludesby calling for greater engagement with theory, and the development of ascholarship of learning technology, in order to enrich practice within the fieldand demonstrate its relevance to other fields of work.
url http://www.researchinlearningtechnology.net/index.php/rlt/article/view/17108
work_keys_str_mv AT martinoliver talkingbacktotheorythemissedopportunitiesinlearningtechnologyresearch
AT suebennett talkingbacktotheorythemissedopportunitiesinlearningtechnologyresearch
_version_ 1725441737160130560