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Record W2095947440 · doi:10.3928/0148-4834-20020101-06

A New Perspective on Competencies for Self-Directed Learning

2002· review· en· W2095947440 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Nursing Education · 2002
Typereview
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAutodidacticismLifelong learningPerspective (graphical)PsychologySelf-assessmentMedical educationReflection (computer programming)Knowledge managementPedagogyComputer scienceMedicine

Abstract

fetched live from OpenAlex

In baccalaureate in nursing programs, self-directed methods of education have been used for many decades. A major goal of this type of approach to education is to provide students with the necessary competencies to become lifelong learners. Students must be exposed to self-directed learning competencies to obtain the knowledge, skills, and attributes unique to their personal and professional growth. It has been proposed that six competencies are required for students to become self-directed learners: self-assessment of learning gaps; evaluation of self and others; reflection; information management; critical thinking; and critical appraisal. Each of these skills are not mutually exclusive but are interrelated in such a way that students use all or a combination of them simultaneously to direct and control their learning.

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.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.925
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.137
GPT teacher head0.525
Teacher spread0.389 · 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