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Record W4306784218 · doi:10.5430/jct.v11n7p1

Research on Digital Media Art Teaching Mode Based on Maker Education Concept-Taking Shanxi Communication University as an Example

2022· article· en· W4306784218 on OpenAlexvenueno aff
Jiaqin Guo, Wei Chen

Bibliographic record

VenueJournal of Curriculum and Teaching · 2022
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsCreativitySituational ethicsMathematics educationMode (computer interface)Digital mediaComputer scienceMultimediaPsychologySociologyHuman–computer interaction

Abstract

fetched live from OpenAlex

Cultivating college students’ innovation ability is an important task of higher education. Innovation is regarded as the soul of a nation and the basic driving force of a country’s sustainable development. The purpose of the current study is to explore and examine the practical path of maker education mode on the improvement of the innovation ability of Chinese college students majoring in digital media art, as well as through the teaching strategy exploration and teaching method practice on the basis of the five stages of teaching mode of I-E-C-E-E including situational inspiration, architecture design, project creation, maker’s experience and demonstrating evaluation to conduct action research, summarize the practical application of maker teaching mode in the teaching of digital media art, and also to promote the development of the teaching mode of digital media art in application-oriented undergraduate colleges. The results of this study show that the experimental group is more desirable than the control group in creativity, practicability and technical characteristic.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.055
GPT teacher head0.357
Teacher spread0.302 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2022
Admission routes1
Has abstractyes

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