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Record W1566408683 · doi:10.1177/104515959901100304

Satisfying the Itch: Addressing Problems in Adult Literacy Programs with Action Research

2000· article· en· W1566408683 on OpenAlexaff
Drucie Weirauch, Gary William Kuhne

Bibliographic record

VenueAdult Learning · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsCanadian Association for the Study of Adult Education
Fundersnot available
KeywordsAction researchEmpowermentAction (physics)LiteracyPsychologyProfessional developmentProcess (computing)Medical educationPedagogySociologyPolitical scienceMedicineComputer science

Abstract

fetched live from OpenAlex

Most would agree that for change to be successful and positive, those carrying out the change must be involved and engaged in the process itself. By engaging practitioners in the change process, action research provides ownership and often results in a sense of efficacy In recent years, researchers exploring K-12 issues have identified several outcomes of participation in action research. For instance, they have found that educators grow professionally, intellectually and establish more meaningful relationships with their learners using action research (Shalaway, 1990). They feel a sense of empowerment and increased self-esteem. They also are more open to change, more reflective about practice and decision-making and are better problem-solvers. Overall, they have greater expertise in the field and a fresher attitude toward the educational process (Bennett, 1994). In adult literacy, Quigley (1995) discusses how practitioners can use action research to satisfy the itch about problems in their own This work has led to a practitioner-based movement in professional development and program improvement in Pennsylvania. Literacy Action Research in Pennsylvania In 1995, Pennsylvania created a statewide effort to bring action research to adult literacy practitioners as a professional development tool. Supported by the Bureau of Adult Basic and Literacy Education (ABLE) of the Department of Education, one project in this Learning from initiative was the Pennsylvania Action Research Network (PAARN). We trained practitioners (administrators, teachers, trainers and volunteers) to develop better problem-posing and problem-solving skills to improve their practice using this systematic approach of action research. The Pennsylvania Action Research Handbook and Project Planner (Quigley, 1995) and Creating Practical Knowledge through Action Research: Posing Problems and Improving Daily Practice (Quigley & Kuhne, 1997) have been used to facilitate the training. PAARN was committed to sharing the results with others; therefore, each participant wrote a monograph about the action research project. These were published and made available through a literature network, and are posted on the Web site (www.learningfrompractice.org.) PAARN was evaluated annually in two ways. First, practitioners were interviewed to determine their perception of success, the usefulness of the model and their professional growth. Second, one year after the project was completed, the participants' supervisor was interviewed to evaluate the lasting impact that the action research project may have had on the agency itself. This article shares the synthesized results of the supervisor evaluations to show how the process is transferable, and we offer snapshots of four projects highlighting outcomes that have been made part of the literacy institutions for long-term change. Four Snapshots of Success For four consecutive years, an annual impact survey was conducted with supervisors of action research participants. A total of 33 supervisors were interviewed about their 61 participants. One question asked them to contrast the benefits of action research to those of traditional workshops for professional development. Forty five percent of the supervisors felt action research provided greater benefits, 37 percent said it was hard to tell and only 18 percent felt that workshops were more valuable. As one supervisor commented in 1998, Those who have taken action research are much less hesitant to share information, are comfortable making suggestions and are able to receive constructive criticism. They are able to work on a project, follow through and implement, have a more questioning attitude and are more willing to examine their practice. In 2000, another observed, Those in action research see their everyday attempts at program improvement as meaningful, not futile, attempts. Each year, we asked if the participating staff had experienced an attitude change. …

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)0.133
metaresearch head score (Gemma)0.101
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: Empirical · Consensus signal: none
Teacher disagreement score0.133
Threshold uncertainty score0.706

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1330.101
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0080.018
Scholarly communication0.0110.020
Open science0.0050.023
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.172
GPT teacher head0.466
Teacher spread0.294 · 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
Published2000
Admission routes1
Has abstractyes

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