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Record W4301360284

Self-Directed Learning and Student Attitudes

2007· article· en· W4301360284 on OpenAlexaboutno aff
Jennifer SCHWARTZ

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2007
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsAutodidacticismPsychologyMathematics education
DOInot available

Abstract

fetched live from OpenAlex

It is a commonly held belief that students who enjoy their experience of school perform better academically. Thus, educators often struggle with the questions of how best to motivate students and how to make learning fun. Some parents and educators, however, have simply moved away from traditional educational practices and are choosing to let students take charge of their own learning. The intent of this study is to evaluate the attitudes of students in two Sudbury model schools - schools in which students from ages 4-19 are completely responsible for their own education - and to show the positive correlation between freedom and choice in the learning environment and positive student attitudes. This study involves the opinions of 23 students from two Sudbury model schools, forming a small focus group. The schools both volunteered for the study, and students were asked if they would like to participate. The students who participated ranged in age from 4-16. Each completed a questionnaire that included both scaled questions and open-ended questions. Overall, students reported having a very positive experience of school as assessed by the questionnaire. There were also recognizable trends in their narrative answers that pointed towards an overall appreciation for the level of freedom in their schools. In general, the study proved that in the group surveyed there is a positive correlation between freedom in the educational environment and the students' attitudes about school. This study points to the validity of self-direction in the learning environment, and notes several options for follow-up studies.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.282
GPT teacher head0.649
Teacher spread0.367 · 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.

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

Citations1
Published2007
Admission routes1
Has abstractyes

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