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Strengthen Students’ Self-Awareness, Foster Their Creative Spirit: “Open-Type” Teaching Philosophy-Based Art Design Teaching Discussion and Practice

2013· article· en· W2168592154 on OpenAlexvenueno aff
Liu Dong-feng

Bibliographic record

VenueCanadian social science · 2013
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsnot available
Fundersnot available
KeywordsCuriosityCreativityPerspective (graphical)Set (abstract data type)Creative educationTeam SpiritMathematics educationPsychologyMode (computer interface)Teaching methodCreative thinkingPedagogySociologyComputer scienceSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

The first that education should endow the students is the active participation as main part if it wants to change students and foster their creative spirit indeed. For this perspective, it is shown that the key of creative education or the immediate mission of teaching is to create subjects and activities suitable for students to participate and explore independently, and to provide students with the necessary method, conditions and environment for fostering creative spirit. In this paper, we, in combination with our own teaching practice, propose an open-type teaching mode, attempt to break restraints set up by traditional art design teaching mode, and explore a path of teaching in favor of fostering students’ creative spirit and practical ability, as well as being beneficial to induce students’ interests, and build their curiosity, imagination and creativity, thus to find an effective path of practically implementing goal of innovation education in design.

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)0.005
metaresearch head score (Gemma)0.006
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.082
GPT teacher head0.400
Teacher spread0.318 · 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
Published2013
Admission routes1
Has abstractyes

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