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Record 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 on OpenAlexfundno aff
Mehmet Şeremet

Bibliographic record

VenuePEARL (University of Plymouth) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsnot available
FundersEconomic 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
KeywordsEmployabilityGeographic information systemKingdomGeographyPedagogyPolitical scienceRegional scienceSociologyCartography

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.319
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2013
Admission routes1
Has abstractyes

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