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Record W3156740863

Innovation in Workplace Learning: Perceptions of the Value of Game-based Learning among Training and Development Professionals

2020· dissertation· en· W3156740863 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace · 2020
Typedissertation
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)PerceptionValue (mathematics)Game based learningKnowledge managementWorkplace learningPsychologyMedical educationMathematics educationComputer scienceEngineeringGeographyMedicineWork (physics)Machine learningMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Games are a fundamental part of the fabric of human existence. Their utility extend beyond the sole purpose of entertainment and transcends to the realm of games for learning. The impetus of this study was to examine the perceptions of game-based learning (GBL) through the lens of training and development professionals in Canada. Employing a mixed-method approach, a survey questionnaire was used to explore experience using GBL, intention to use GBL and barriers to adoption. A descriptive analysis of frequencies was performed on the quantitative data and content analysis for the open-ended qualitative survey responses. Based on the results of 172 respondents, only 43.6 percent were using GBL. Majority of respondents lacked GBL knowledge and experienced low self-efficacy for GBL design and application. This was exacerbated by social, organizational and systems-wide barriers. Increased GBL knowledge and support from leadership and peers were among the factors to mitigate GBL adoption barriers.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.389
Teacher spread0.332 · 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