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Enregistrement W1481709142 · doi:10.24382/4715

GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN HIGHER EDUCATION: A STUDY OF PROVISION, PEDAGOGY AND EMPLOYABILITY IN THE UNITED KINGDOM AND TURKEY

2013· dissertation· en· W1481709142 sur OpenAlexfundno aff
Mehmet Şeremet

Notice bibliographique

RevuePEARL (University of Plymouth) · 2013
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueGeography Education and Pedagogy
Établissements canadiensnon disponible
Organismes subventionnairesEconomic and Social Research CouncilKeele UniversityUlster UniversityDurham UniversityUniversity of BristolLoughborough UniversityUniversity of ReadingUniversity of SussexUniversity of LeedsNewcastle UniversityUniversity of OxfordUniversity of St AndrewsManchester Metropolitan UniversityUniversity of LeicesterUniversity of WorcesterUniversity of Salford ManchesterOxford Brookes UniversityUniversity of HullKingston UniversityUniversity of SouthamptonLiverpool John Moores UniversityUniversity of AberdeenAberystwyth UniversityUniversity of StirlingUniversity of GlasgowUniversity of GloucestershireUniversity of GreenwichUniversity of Central LancashireLondon School of Economics and Political ScienceUniversity of BrightonNottingham Trent UniversityUniversity of WolverhamptonLiverpool Hope UniversityKing's College LondonUniversity of HertfordshireUniversity of PortsmouthQueen's UniversityTrent UniversityQueen Mary University of LondonUniversity of ExeterCoventry UniversityRyerson University
Mots-clésEmployabilityGeographic information systemKingdomGeographyPedagogyPolitical scienceRegional scienceSociologyCartography

Résumé

récupéré en direct d'OpenAlex

Geographical Information Systems (GIS) are computer-based systems designed to store, organize, analyse and present spatial data. They can be used to help understand and answer a wide variety of problems in fields such as environmental management, resource planning and retail location and development. This thesis aims to explore the GIS education provided within university Geography departments (or units) in both the UK and Turkey. The main topics for investigation are the nature and scale of the GIS provision, the principal characteristic of the teaching, learning and assessment processes and also graduate employability – how far the courses and their students satisfied employer needs. Although there is a substantial literature on GIS education, this thesis is different for two reasons. First, because it takes a more holistic approach to examining many aspects of GIS education within a number of case study departments. Second, because it covers two different countries, which can then be compared. With reference to the research methods, this PhD examined ten case study departments, six from the UK and four from Turkey. The data collected were derived from a combination of student questionnaires, staff interviews, teaching observations and reading course documents. Both qualitative and quantitative were used to examine the data. In the UK the main types of provision were found to be some 90 GIS named modules within Geography undergraduate programmes, 22 GIS Masters degrees and 7 UG GIS programmes. In Turkey, where engineering is the leading GIS discipline, there were 61 modules in undergraduate Geography, two Geography-based Masters programmes and no GIS undergraduate degrees. In the UK the great majority of GIS II provision in Geography degrees takes the form of modules which are optional, with the result that most Geographers obtain only a very limited understanding of GIS and its applications. By contrast, in Turkey, the GIS modules are typically compulsory and the subject therefore occupies a more central and prominent position in the curriculum. In both countries, more than 70 percent of students said they were satisfied with their GIS teaching (with no statistically difference in satisfaction levels related to the gender or year of study). Although this is a positive finding, there were some weakness and disappointments. With respect to curriculum design and delivery, insufficient attention was given to use of Intended Learning Outcomes (ILOs) and in both countries students complained about too much theory and about teaching which was too heavily based on lectures and not sufficiently active and student centred (especially in Turkey). GIS staff rarely took part in teaching related CPD and GIS was little used outside the formally designated modules. GIS employer opinions were varied on the quality of graduates but common criticisms were that they lacked the business awareness and in Turkey had often poor standards of English. The links between academia and the GIS profession were patchy. The thesis ends with over 20 recommendations, the most important of which is for Geography as a discipline to give more priority to GIS. Particularly in the UK (though less so in Turkey), many Geographers graduate with little knowledge or experience of GIS. In the age of the information economy, this is a significant missed opportunity.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,767
Score d'incertitude au seuil0,870

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,040
Tête enseignante GPT0,319
Écart entre enseignants0,278 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2013
Routes d'admission1
Résumé présentoui

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