MétaCan
Menu
Back to cohort
Record W4297982396 · doi:10.5430/ijhe.v11n5p210

The Motives, Expectations and Preparedness of Learners Embarking on An Undergraduate Accounting Degree in South Africa

2022· article· en· W4297982396 on OpenAlexvenueno aff
Jade Jansen, Badrunessa Williams, Azmatulla Latief

Bibliographic record

VenueInternational Journal of Higher Education · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessPsychologyAccountingHigher educationDisadvantagedInterpersonal communicationMedical educationDescriptive statisticsInstitutionSociologyPolitical scienceBusinessSocial psychologySocial scienceMedicineManagementEconomics

Abstract

fetched live from OpenAlex

University success is impacted largely by the successful transition of students in their first year. This study’s objective is to identify the motives, expectations and preparedness of first-year accounting students enrolled for an accounting degree at the University Of the Western Cape (UWC) for higher education. Students’ motives, expectations and preparedness for higher education have been found to impact their success in their tertiary studies. A quantitative approach was used for this study. A questionnaire was administered to first-year accounting students at UWC during the first lecture of their first accounting module. Descriptive statistics was used in order to analyse the data obtained from the questionnaire. The findings include that students’ time commitments were aligned to that proposed by the university, that they were motivated by a mixture of internal and external factors and that they expected to grow intellectually as a result of studying B.Com (Accounting) at UWC but did not expect to develop better social skills. Educators should acknowledge the importance of and incorporate initiatives to develop the interpersonal skills in the training of accounting graduates. The study contributes to understanding the first-year experience of students studying at a historically disadvantaged institution in South Africa.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.026
GPT teacher head0.291
Teacher spread0.264 · 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 designObservational
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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Higher EducationSame topicAccounting Education and CareersFrench-language works237,207