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Record W4382600541 · doi:10.21977/d918154081

Effective Learning in the Modern Classroom

2023· article· en· W4382600541 on OpenAlexaff
Christopher Nokes

Bibliographic record

VenueJournal for Learning through the Arts A Research Journal on Arts Integration in Schools and Communities · 2023
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsAssociation of Canadian College and University Teachers of EnglishEtobicoke School of the Arts
Fundersnot available
KeywordsPsychologyIntellectTheory of multiple intelligencesValue (mathematics)PedagogyEpistemologySocial psychology

Abstract

fetched live from OpenAlex

Abstract: Effective learning is viewed as an evolutionary process, and as such, it involves an expanded version of the Crenshaw-Collins view of intersectionality. It demands an in-depth view of the complex socio-cultural-ethnic milieu in which students are embedded. Even more, effective learning requires effectance problem-solving, investigation and semiotics, along with effectance motivation, to form a quadripartite framework for effectance holism, which becomes the foundation for equity. Equity in the classroom requires shared human experience, research, process, ideas, as well as product. Effectance motivation associates walking, awareness, attention, perception, thinking and adapting to one’s environmental conditions that encourage effective, competent interactions of students with their surroundings. Arguably, effectance, rather effective , motivation is evidentiary in childhood development, and is responsible for acquisition of increased intellectual awakenings in the home and in the classroom. However, effective motivation alone is self-limiting. I include effective problem-solving, investigation and semiotics into the equation. That students are active, constructive participants in the learning process is also evidentiary. With Susan Harter effectance motivation encompasses the developing intellect of children and evolution of their independence, mastery, competency and success. Against this background of scholarship research, Gardner’s multiple intelligences portray student success and motivation as a pathway only to stereotypical roles, without any educational value. In contrast, egosystem provides a viable framework for understanding students and their complex makeup. In fact, I argue that frames of reference should replace frames of mind . In terms of the value of learning through the arts, early modernism, especially Dada and Surrealism, have inspired students to reimagine their own art as having, not only intrinsic aesthetic value, but also extrinsic narrative value as social-political commentary. Essentially, art and design education must reimagine what students could do, if only they did not have to conform to a set curriculum, and were allowed to research art history on their own, explore their personal passions and experiment with various art forms.

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)0.014
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.008
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 head0.208
GPT teacher head0.489
Teacher spread0.281 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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