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Record W1627402033 · doi:10.18438/b8pd1g

Learning Through Reflective Writing: A Teaching Strategy

2010· article· en· W1627402033 on OpenAlexvenueno aff
Kristen L. Young

Bibliographic record

VenueEvidence Based Library and Information Practice · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsReflective writingReflection (computer programming)PsychologyReflective practiceDescriptive statisticsTest (biology)Mathematics educationQualitative researchStatistical analysisQualitative analysisMedical educationPedagogyComputer scienceSociologyMedicine

Abstract

fetched live from OpenAlex

Objective – To explore student thought on both reflection and reflective writing as a process, and to analyze the writing by the application of clearly defined and identifiable outcomes. Design – Mixed method approach consisting of a qualitative analysis of 116 written reflections from master’s level students as well as a quantitative statistical analysis. Setting –The University of Sheffield masters-level librarianship program’s course INF6005, “Management for LIS.” Subjects – Of the 31 students registered the course during the 2007-2008 academic year, 22 (71%), allowed their reflections to be used for the purposes of research. Of these, 7 students identified themselves as male, and 15 were female. All students included were over 21 years of age and had previous library experience, with varying degrees of management experience in supervisory roles. Not all supervisory experience was gathered within the library domain. Methods –A total of 116 reflective journal entries were submitted by the participating students during the eight month period from October 2008 to May 2009. In order to identify themes, qualitative analysis was applied to the reflective writing responses. Descriptive statistics were also applied to test the hypothesis, illustrate the relationships between reflective writing and outcomes, and locate identifiable outcomes. Main Results – Practising reflection demonstrated benefits for individuals and groups both in and outside of the workplace. On the whole, individuals gained the most from reflection and saw it in the most positive light when it was practised as a daily activity. Quantitatively, when students began to master the practice of reflection, they demonstrated an increase in their ability to learn and an overall improvement of self-development and critical thinking skills, and gained a defined awareness of personal mental function. When decision making became easier, students understood they had begun to master the art of reflective practice and analytical reflective writing. Qualitatively, when the students’ reflections were assessed, ten different themes emerged: (1) Nature of reflection (2) Reflection seen as useful in providing support for a career and professional development (3) Reflective writing – benefits (4) Reflective writing – potential in future employment and workplace (5) Encouraging others to use reflective practice (6) Reflecting positively (7) Reflection applicable to both individuals and groups (8) Reflection in support of personal awareness (9) Exploration of different methods of reflection (10) Difficulties in focusing enough to be able to reflect deeply Conclusion – Reflection is a skill that can be practised and developed. Initially, not all students enrolled in the class and participating in the study knew what reflective writing was or what it entailed. Students were given support to educate them in this area. Support included academic reading, lectures, reflective writing workshops and an overall opportunity to develop their skills further. Reflective writing was demonstrated to have a very positive relationship with several key outcomes. The areas impacted include academic learning, self-development, and critical review, with key outcomes including an increased awareness of personal mental function and increased support for decision making, as well as empowerment and emancipation. The clearest benefit was represented when students wrote about their analytical reflections.

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)0.014
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0070.005
Open science0.0030.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.003

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 head0.028
GPT teacher head0.387
Teacher spread0.359 · 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 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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