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Record W3131195351 · doi:10.48336/wd9e-f011

Perceptions and expectations of the technological proficiency levels of university business school graduates: representations of graduates and employers.

2021· dissertation· en· W3131195351 on OpenAlexaffabout
Muhammad Khurram

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPerceptionWork (physics)Medical educationValue (mathematics)Computer literacyPsychologyMathematics educationEngineeringComputer scienceMedicine

Abstract

fetched live from OpenAlex

The present study explores business school graduates’ experiences in acquiring computing skills, as well as employers’ experiences with the computer proficiency of recent business school graduates. Following on the work of Gibbs, Steel & Kuiper (2011) this study examines the experiences of business graduates from Memorial University of Newfoundland, Canada and local employers who hire these graduates. A qualitative research design was employed, and semi-structured interviews were conducted with eighteen (18) participants: twelve (12) business graduates and six (6) employers. Results were divided into three major themes: (1) graduate perceptions of their acquisition of computing skills within and outside their post-secondary program; (2) perceptions of the roles and responsibilities of business schools in the acquisition of computing skills, and; (3) employers’ perspectives on specific aspects of graduate computing skills. The findings show that graduates were positive in their appraisal of the value of computing skills in general, and have high levels of confidence about their ICT skills; however, the acquisition of such skills was found to be primarily learned informally, self-taught, or learned during work terms. Some graduates had little or no formal computing training and most participants had no more than a vague awareness of the scope and breadth of computing skills needed in a professional work environment. Thus, there appears to be some misalignment between workplace computer skill requirements, and program objectives. Employers perceive an appropriate balance between the computer proficiency of business graduates and the skills they need for the workplace. The data relating to skill deficits suggest that they are more prevalent in the areas of writing and communication – including grammar and spelling, and business writing. These findings raise questions about a potential gap or a weakness in the current approach to university education for business students. Although there is wide recognition that the primary aim of university business degree programs falls outside of technical training, there is clearly room for a more standardized approach to the teaching and assessment of computer skills. The findings suggest the need for better coordination between business schools and industry employers to better align the needs and expectations of employers with the goals and objectives of business programs, Recommendations are provided for greater collaboration between business graduates’ competencies, employer expectations and the ability of business schools to help standardize and assess computer skills and language proficiencies of their graduates. Finally, more research is necessary to study and help establish effective preparation, training, and intervention strategies for business school students with respect to ever-evolving technological changes and new business applications.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.054
GPT teacher head0.335
Teacher spread0.281 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes2
Has abstractyes

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