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Record W4400835628 · doi:10.54254/2753-7064/2/20220600

The Phenomenal Class Teaching to Individual Learners

2023· article· en· W4400835628 on OpenAlex
Wayne DeFehr

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

VenueCommunications in Humanities Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsClass (philosophy)Mathematics educationPsychologyPedagogyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This paper investigates some of the practical implications of a phenomenology of education, exploring how this philosophy can have a daily application to work that takes place in the classroom. Beginning with an overview of key principles in the philosophy of phenomenology, including ideas from Edmund Husserl’s and Martin Heidegger’s writings in the 19th-century, the paper examines more recent applications of this philosophy as an approach to pedagogy. The discussion includes the work of Malte Brinkmann and Norm Friesen, and then also that of the philosopher Hubert Dreyfus to consider the ways in which phenomenology would shape a teaching practice. The challenge here involves attempting to form authentic and genuine relationships, despite, or through, the various education technologies and platforms that are available these days. These technologies are often promoted as leading to student “immersion” in the subject matter, while the reality is, at the same time, that the teacher becomes distanced from the students, through the mediating effect of all this media. One example that is proposed as a way to address this issue, involves discussing the example of a class that I teach, where the students need to collaborate to build a playable video game in RPG Maker MV. They become immersed in learning the technology required to create an interactive game, while at the same time remaining in contact with their fellow collaborators as they develop the narrative and game play along the inclusive and enriched story telling principles that are presented in class.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.502
GPT teacher head0.552
Teacher spread0.050 · 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