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Record W217469652 · doi:10.1177/104515950501600306

Instructor-Student Relations in Adult Literacy Programs

2005· article· en· W217469652 on OpenAlexaffabout
Marion Terry

Bibliographic record

VenueAdult Learning · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsGovernment of Saskatchewan
Fundersnot available
KeywordsAdult literacyAdult educationLiteracyPedagogyPsychologyAdult LearningMathematics educationSociologyMedical educationMedicine

Abstract

fetched live from OpenAlex

In 2003, I conducted a study to explore the perspectives and experiences of stakeholders connected to two provincially-funded adult literacy programs in Manitoba, Canada. These 70 research participants belonged to seven stakeholder categories: 37 learners, 2 coordinators/instructors, 11 other staff, 7 learners' parents or significant others, 2 program administrators, 8 civil servants and community agency workers who make literacy program referrals, and 2 government employees responsible for funding literacy programs. I collected information by means of one-to-one interviews with individuals from every category, and compositions written by learners, other staff, and one provincial funding agent. The 34 compositions consisted of written responses to questions about their program experiences. The 58 interviews consisted of 45-minute conversations based on more detailed questions about the same topics. Four themes emerged during my analysis of the data: program design, human relations, community context, and financial support. As an adult educator with many years of classroom and administrative experience, I expected interpersonal relations to emerge as a theme. What surprised me was the vehemence with which members from every stakeholder group espoused the necessity of positive instructor-student relations as a precursor to learning. The participants viewed staff-learner relations as the foundation of their adult literacy programs. Coordinators/instructors and other staff related how students had positively affected their professional and personal lives; learners, parents/significant others, and referral agents told parallel stories about the effects of staff members on students. Several people noted the value of having a variety of instructors with whom different students could bond. Of paramount importance to everyone was the adult nature of these instructor-student relationships. Participants from every category spoke of how staff treated students as equal partners in the learning process. Staff and learners called each other by first names, spent breaks and lunch hours together, and got to know each other's leisure interests and family situations. Positive regard for learners characterized these relationships. The program stakeholders lauded instructors' faith in students' learning abilities and the extra efforts that instructors made to ensure academic progress. Coordinators/ instructors and other staff admired students' efforts to overcome personal adversities and expressed pride in students' accomplishments at every academic level. They saw learners' socially unacceptable out-of-program behaviors as problems to be solved, rather than as reasons to reject them as students. However, while one instructor was more likely to suggest that learners with serious personal problems take a break from their studies in order to seek external guidance, the other instructor was more likely to address these issues within the program itself, and to recommend that students, under the care of community professionals, continue to attend the program while working through personal problems. …

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)0.004
metaresearch head score (Gemma)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.006
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.364
Teacher spread0.343 · 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
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
Published2005
Admission routes2
Has abstractyes

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