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Record W3173404382 · doi:10.23977/aetp.2021.53019

Action Research on Impact of Project-based Learning on Intrinsic Motivation of Private College Students Learning English in China

2021· article· en· W3173404382 on OpenAlex
Ying Zhang

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

VenueAdvances in Educational Technology and Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyIntrinsic motivationCompetence (human resources)Self-determination theoryMathematics educationActive learning (machine learning)AutonomyChinaCooperative learningMotivation to learnPedagogyMedical educationTeaching methodSocial psychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The study investigates the effect of project-based learning on the intrinsic motivation of private college students learning English in China. Motivation is instrumental to students’ learning process, private college students in China are less academically motivated than their counterparts in public institutions. Project-based learning is an effective instructional technique that empowers students to be the center of learning. In this action research, 21 students learning English in a private Chinese college were administered with the Intrinsic Motivation Inventory to examine the difference of their intrinsic motivation level before and after a project. The result of the study shows significant difference existing in interest, autonomy, competence and pressure students perceived before and after the project, which supports project-based learning has a positive impact on students’ intrinsic motivation for learning. Based on this result, it is highly suggested that more considerations should be given to incorporate PBL in course design to enhance intrinsic motivation of private college students in China.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.105
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.082
GPT teacher head0.539
Teacher spread0.457 · 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