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Record W3130144609 · doi:10.5539/jel.v10n2p84

Exploring the Influence of Teacher-Student Interaction on University Students’ Self-Efficacy in the Flipped Classroom

2021· article· en· W3130144609 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.

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 Education and Learning · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
FundersChengdu UniversityMinistry of Education of the People's Republic of China
KeywordsFlipped classroomPsychologyBlended learningPreferenceMathematics educationSelf-efficacyPedagogyEducational technologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study is to explore the impact of teacher-student interaction on undergraduate students’ self-efficacy in a Chinese university setting. Students came from natural science, management, economics, medicine, engineering and humanities. The empirical results demonstrate that teacher-student interaction has positive impact on students’ self-efficacy and their preference of the flipped classroom. Furthermore, the positive relationship between teacher-student interaction and students’ self-efficacy is partially mediated by students’ preference of the flipped classroom. Educators should focus on student-centered learning and motivate students’ preference of the flipped classroom. Students should be encouraged to actively participate in the flipped learning as well. It contributes to the reform of the flipped classroom and improvement of teaching quality in the universities.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
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 integrity0.0000.001
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 head0.093
GPT teacher head0.422
Teacher spread0.329 · 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