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Record W185899887

Learning business English in virtual worlds : effectiveness and acceptance in a Malaysian context : a thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Management Information Systems at Massey University, Palmerston North

2013· dissertation· en· W185899887 on OpenAlex
Harmi Izzuan Baharum

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.

fundA Canadian funder is recorded on the work.
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

VenueMassey Research Online (Massey University) · 2013
Typedissertation
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
FundersUniversiti Kebangsaan MalaysiaMassey UniversityAthabasca University
KeywordsDegree (music)Context (archaeology)Knowledge managementPsychologySociologyComputer scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

Motivated by the need to provide better opportunities for Malays in Malaysia to improve their oral business English communication skills, the research focused on the use of multiuser virtual environment (MUVE) for learning English and pursued the following research questions: (1) Is MUVE based learning effective in facilitating situated scenario-based learning of oral business English communication skills by Malay learners? (2) Which factors influence the acceptance of MUVE based learning of oral business English communication skills by Malay learners? To address the first research question, a controlled experiment was conducted to compare the learning gains in traditional classroom and in MUVE environment. To address the second research question, an acceptance model based on the social cognitive theory and the technology acceptance model was tested by fitting it to the data obtained by using a questionnaire. The experiment involved 152 Malay tertiary learners, who also filled in the questionnaire. Findings indicated that MUVE was effective in facilitating scenario-based learning of business English by Malay learners. Learners‘ oral skills showed statistically significant improvement following learning in MUVE. However, the difference between the improvement in the classroom environment and in MUVE was not statistically significant. As for MUVE acceptance, Video Games Affect, English Class Anxiety, and Perceived Usefulness affected the learners' Intention to Use MUVE for e-Learning, although the effect size for Video Games Affect and English Class Anxiety was small. The results of the study suggest that MUVE based learning is an effective environment for learning oral business English communication skills. MUVE is particularly suitable for distance learning, when traditional classroom learning is not available. The study confirmed the claims in the literature that MUVE is particularly suitable for anxious learners and for learners who like to play video games. The study involved Malay university students as participants, and the results are not necessarily generalizable to other types of learners.

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)0.002
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 score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.276
Teacher spread0.206 · 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