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Take A Hike! The Impact of Adventure-based Learning on Psychological Wellbeing in Troubled Youth.

2015· article· en· W2463525759 on OpenAlexaff
Cynthia J. Thomson, Jamie F. Burr

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2015
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsPsychologyRecreationClinical psychologyLocus of controlSelf-esteemAdventure educationExperiential learningPsychological resiliencePersonal developmentMental healthDevelopmental psychologyPsychiatrySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Adventure based learning (ABL) programs involve experiential learning combined with outdoor recreation, including hiking, snowshoeing, biking, and kayaking. ABL activities push students outside of their comfort zone often resulting in learning and personal growth. A variety of psychological outcomes have been associated with participation in ABL programs, including improved self efficacy, self esteem, resilience, general well-being, and internalized locus of control, but many studies investigated short duration programs (<6 weeks); and fewer have considered the effects across multiple years. PURPOSE: To assess outcomes related to psychological wellbeing, deviant behaviours, and life skills over the course of a multi-year intensive ABL program in a group of at-risk teenagers. METHODS: Teenagers enrolled in a school-based program (43/5 m/f, 16.5±0.9 yr) completed questionnaires twice during the school year, and data was compared using paired t-tests. Questionnaires included validated measures of self esteem, self efficacy, wellbeing, distress, locus of control, substance (cigarette, alcohol, drug) use, and life effectiveness. RESULTS: In the full sample, end-of-year scores for self esteem (p = .03), wellbeing (p = .006), and emotional control (p < .001) increased from baseline. Additional analyses on subgroups of new (n = 26) and returning (n = 22) students revealed significant changes in wellbeing (p = .009) and emotional control (p = .001) only in students that were new to the program, but there were no significant changes (all p > .05) between pre- and post- measures in returning students. CONCLUSIONS: Students in a multi-year ABL program reported improved scores in variables related to positive mental health. These improvements occurred only during the first year of a multi-year program. Participants’ prior involvement in ABL and related programs should be considered when investigating mental health outcomes associated with ABL.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.388
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2015
Admission routes1
Has abstractyes

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