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Record W4405730203 · doi:10.5430/jnep.v15n3p69

Achievement emotions within simulation in baccalaureate nursing education–A mixed methods study

2024· article· en· W4405730203 on OpenAlex
Melanie Breznik, Kathrin Radl, Anna-Theresa Mark, Valentina Pezer, Isabella Wilhelmer

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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Nursing Education and Practice · 2024
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsNursingPsychologyNurse educationMultimethodologyMedical educationMedicineMathematics education

Abstract

fetched live from OpenAlex

Objective: Simulation-based training equips students to meet the increasing demands of healthcare. While these trainings positively impact learning, the emotions experienced during simulations can influence these in learning outcomes. Achievement emotions, which are closely linked to academic performance, are considered to affect learning but have been underexplored in the context of simulation-based nursing education. Therefore, this study investigated the achievement emotions nursing students experience during simulation training and analyzed how they describe these emotions.Methods: A concurrent mixed-methods design was used. The Achievement Emotions Questionnaire was administered to a sample of nursing students (n = 101) assessing their emotions during simulation training. Additionally, 31 problem-centered interviews were conducted to delve deeper into the students' emotional experiences. Quantitative data were analyzed using IBM SPSS Statistics Version 28, while qualitative data were analyzed using content analysis following Kuckartz methodology, utilizing MAXQDA (Version 24.2.0) for coding and analysis.Results: Nursing students reported a range of achievement emotions, with positive emotions like enjoyment, pride, and hope scoring higher than negative emotions, such as boredom, hopelessness, and shame. Notably, anxiety levels were comparable to those of the positive emotions. Significant emotional shifts were observed during the simulation training. However, while quantitative data indicated a decrease in shame, interviews revealed students still felt shame after simulation, especially when knowledge gaps were exposed. Qualitative findings suggest that students' experience with simulation, the debriefing process, the training design, and their role in the simulation influence the achievement emotions experienced.Conclusions: The dynamic nature of achievement emotions during simulation training calls for further research to better understand their complexity. The discrepancy regarding shame between quantitative and qualitative findings also requires more investigation. Nursing educators should consider achievement emotions in simulation design, as factors like training structure influence students' emotional experiences.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.174
GPT teacher head0.576
Teacher spread0.402 · 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