The big picture: mining the student data resource to inform learning development provision

Accurately assessing student needs is a key concern for learning developers in order for provision to have a strong evidence base. Studies investigating student study needs in higher education tend to provide a snapshot in time and are limited to a certain number of students (Liu et al., 2011; Sloa...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Elizabeth Tanguay, Peter Hanratty
Formato: article
Lenguaje:EN
Publicado: Association for Learning Development in Higher Education (ALDinHE) 2017
Materias:
1
Acceso en línea:https://doaj.org/article/65c8ed1f109a4441a3d783d5d06639c2
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:65c8ed1f109a4441a3d783d5d06639c2
record_format dspace
spelling oai:doaj.org-article:65c8ed1f109a4441a3d783d5d06639c22021-11-29T14:03:02ZThe big picture: mining the student data resource to inform learning development provision10.47408/jldhe.v0i11.4011759-667Xhttps://doaj.org/article/65c8ed1f109a4441a3d783d5d06639c22017-03-01T00:00:00Zhttps://repl.gianfj.com/index.php/jldhe/article/view/401https://doaj.org/toc/1759-667X Accurately assessing student needs is a key concern for learning developers in order for provision to have a strong evidence base. Studies investigating student study needs in higher education tend to provide a snapshot in time and are limited to a certain number of students (Liu et al., 2011; Sloan et al., 2013). Others have surveyed users of learning development centres, but not their needs (Buchanan, 2015). In order to develop evolving needs-based writing provision across Swansea University, the Academic Success Programme (ASP) has implemented a web-based system for recording identified areas for improvement in 1:1 tutorial sessions. The ongoing needs analysis is based on student essays in progress and identifies textual and functional categories for improvement. Grouping records according to student metadata allows us to profile student needs according to discipline area and year of study. The emerging patterns enable us to create bespoke workshops for particular student cohorts. To illustrate this process, an example needs analysis and curriculum design for Swansea University's College of Human and Health Sciences is described. Elizabeth TanguayPeter HanrattyAssociation for Learning Development in Higher Education (ALDinHE)articlelearning developmentstudy skillsneeds analysiswriting provisioncurriculum design1Theory and practice of educationLB5-3640ENJournal of Learning Development in Higher Education, Iss 11 (2017)
institution DOAJ
collection DOAJ
language EN
topic learning development
study skills
needs analysis
writing provision
curriculum design
1
Theory and practice of education
LB5-3640
spellingShingle learning development
study skills
needs analysis
writing provision
curriculum design
1
Theory and practice of education
LB5-3640
Elizabeth Tanguay
Peter Hanratty
The big picture: mining the student data resource to inform learning development provision
description Accurately assessing student needs is a key concern for learning developers in order for provision to have a strong evidence base. Studies investigating student study needs in higher education tend to provide a snapshot in time and are limited to a certain number of students (Liu et al., 2011; Sloan et al., 2013). Others have surveyed users of learning development centres, but not their needs (Buchanan, 2015). In order to develop evolving needs-based writing provision across Swansea University, the Academic Success Programme (ASP) has implemented a web-based system for recording identified areas for improvement in 1:1 tutorial sessions. The ongoing needs analysis is based on student essays in progress and identifies textual and functional categories for improvement. Grouping records according to student metadata allows us to profile student needs according to discipline area and year of study. The emerging patterns enable us to create bespoke workshops for particular student cohorts. To illustrate this process, an example needs analysis and curriculum design for Swansea University's College of Human and Health Sciences is described.
format article
author Elizabeth Tanguay
Peter Hanratty
author_facet Elizabeth Tanguay
Peter Hanratty
author_sort Elizabeth Tanguay
title The big picture: mining the student data resource to inform learning development provision
title_short The big picture: mining the student data resource to inform learning development provision
title_full The big picture: mining the student data resource to inform learning development provision
title_fullStr The big picture: mining the student data resource to inform learning development provision
title_full_unstemmed The big picture: mining the student data resource to inform learning development provision
title_sort big picture: mining the student data resource to inform learning development provision
publisher Association for Learning Development in Higher Education (ALDinHE)
publishDate 2017
url https://doaj.org/article/65c8ed1f109a4441a3d783d5d06639c2
work_keys_str_mv AT elizabethtanguay thebigpictureminingthestudentdataresourcetoinformlearningdevelopmentprovision
AT peterhanratty thebigpictureminingthestudentdataresourcetoinformlearningdevelopmentprovision
AT elizabethtanguay bigpictureminingthestudentdataresourcetoinformlearningdevelopmentprovision
AT peterhanratty bigpictureminingthestudentdataresourcetoinformlearningdevelopmentprovision
_version_ 1718407288863064064