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Record W3138931558 · doi:10.33788/rcis.72.2

A Study of Effects of E-Learning Based Exploratory Education on Students’ Self-Efficacy and Interpersonal Relationship

2021· article· en· W3138931558 on OpenAlexaff
Lingke Kong, Zhenlong CHU, You Li

Bibliographic record

VenueRevista de Cercetare si Interventie Sociala · 2021
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsPsychologyExploratory researchAutonomyInterpersonal communicationAffect (linguistics)Interpersonal relationshipAdventureSocial psychologyMedical educationSociologyComputer science

Abstract

fetched live from OpenAlex

Under constant education reform to cultivate students with transferable skills, it is necessary to effectively release excessive competition for school admission and guide normal teaching and balanced development of five ways of life. By re-positioning book knowledge as footprints commonly accumulated by humans, it might be able to recover current rigid education. Students should not be restrained from formal education, but should positively cultivate learning autonomy aiming at living to successfully seek for goals and ideal. Taking a university in Fujian Province as the empirical object, total 214 students are preceded the 15-week e-learning based exploratory education experiment (3 hours per week for total 45 hours). The research results show that exploratory education would affect self-efficacy, exploratory education would affect interpersonal relationship, and self-efficacy reveals significantly positive effects on interpersonal relationship. According to the results to propose suggestions, it is expected to help students discuss, communicate, establish goals, solve problems, and generate trust in the interaction process in learning activities as well as connect specific experience in activities with life experience, transfer and generate meanings, encourage adventure and self-challenge, self-awareness, and finally discover innovative thinking and new potential to generate the natural development for learning and change.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.032
GPT teacher head0.369
Teacher spread0.337 · 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 teacher head, 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".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevista de Cercetare si Interventie SocialaSame topicEducational Games and GamificationFrench-language works237,207