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Record W2802981624

Mixed methods development of a survey instrument for cataloguing student practices and perceptions

2016· dissertation· en· W2802981624 on OpenAlexaboutno aff
Doug Furey

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityDescriptive statisticsCategorizationPerceptionPsychologyMathematics educationQualitative propertyFocus groupCoding (social sciences)Data collectionMedical educationComputer sciencePolitical scienceSociologyMedicineMathematicsStatistics
DOInot available

Abstract

fetched live from OpenAlex

How can outside-the-classroom agencies (e.g., universities, school districts) contribute to effective schooling in terms of student self-development? How can external initiatives be designed, implemented, and institutionalized to lead students to change existing classroom practice? As a first step in answering these questions, a survey instrument was developed to map baseline and post-initiative perceptions of teacher practice, student responses, and self-initiated practices in various course and lesson situations in schools in Newfoundland Labrador, Canada. The mixed methods program of research included an Exploration Phase with major projects entitled Teacher Description of Practice (n = 80), Student Description of Practice (n = 60), and Student Journal of Teacher Practice (n = 75), and a Development Phase with projects entitled Student Explanation of Teacher Description (n = 60), the Development Study (n = 60), and the Final Survey (n = 180). The teacher project, for example, collected 80 teacher descriptions of practice in 16 long- and short-term situations as well as perceptions of effectiveness. A website was developed for project administration and to accept data entry from participants representing 30 geographically separate schools. Qualitative data analysis consisted of text mining, concept mapping, keyword coding, categorization, and theme recognition; quantitative analyses consisted of descriptive statistics, item associations, and reduction of equivalent expressions. Analysis was designed to carry the richness of description through to the Final Survey. Measures of credibility and validity included the mixed method structure, large samples for descriptive research, question duplication, active website administration, pilot groups, member checking, triangulated descriptions, focus groups, case studies, participation across the mixed methods paradigm shift, a study of student misconceptions, and survey redevelopment. The instrument, entitled Student Practice and Perception of Teacher Practice, was included in this work as were descriptions of survey administration and data analyses.

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)0.111
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.111
Threshold uncertainty score0.589

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1110.085
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0090.010
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0030.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.003

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 head0.147
GPT teacher head0.413
Teacher spread0.266 · 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 designQualitative
Domainnot available
GenreMethods

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

Citations0
Published2016
Admission routes1
Has abstractyes

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