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Record W2909746260 · doi:10.1111/bjet.12738

Achievement emotions with location‐based mobile augmented reality: An examination of discourse processes in simulated guided walking tours

2019· article· en· W2909746260 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.

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

VenueBritish Journal of Educational Technology · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychological and Educational Research Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDialog boxAugmented realityMobile deviceContext (archaeology)Computer scienceRecallHuman–computer interactionField (mathematics)PsychologyMultimediaCognitive psychologyWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract The purpose of this study is to experimentally manipulate discourse processes hypothesized to impact the emotions students experience when interacting with handheld augmented reality devices in informal learning settings. Research conducted in the field is often limited by practical constraints, requiring heavy investments in time and resources to collect data from large samples of students. To demonstrate the feasibility of our proposed method, a guided walking tour with 60 students using a location‐based augmented reality app was simulated in the context of a controlled laboratory setting. The difference between groups of students clustered into distinct profiles of positive and negative self‐reported emotions was attributed to patterns in the mined dialog between students and tour guide. Furthermore, student engagement predicted the ability to recall topics covered in the tour. We discuss the implications and directions for future research in tour simulations conducted in a laboratory setting as a means to evaluate the role of mobile technologies in enhancing learning and desirable emotions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.044
GPT teacher head0.404
Teacher spread0.361 · 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