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Record W2065062859 · doi:10.3138/sim.2.3.001

Luddites or Sages? Why do Some Resist Technology/Technique in Classrooms?

2002· article· en· W2065062859 on OpenAlexvenueno aff
L. L. Morton, Christopher J. Clovis

Bibliographic record

VenueSIMILE Studies In Media & Information Literacy Education · 2002
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsResistComputer scienceMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

Approximately 500 post baccalaureate students were surveyed about 11 pedagogical techniques to which they were exposed in a media-friendly lecture hall. The data allowed for students to be grouped into “non-likers” (those who showed an absence of positive responses to a particular method) and “likers” (those who indicated they liked the method). Web-oriented methods showed “non-liking” rates ranging from 28–42%. Ironically, while brief stories (using speech, PowerPoint text and animation) generated the least amount of “non-liking,” an audio story by a classic storyteller generated the most “non-liking.” A psychodynamic model was constructed incorporating information-intake styles, information-expression styles, and demographics to examine the determinants of such “liking”/“non-liking” via Logistic Regression analyses. The model was reliable for six of the 11 variables, and numerous predictor variables revealed the complex interplay between pedagogical technique and the type of student. Even with popular techniques like sound-bites, PowerPoint, animation, MPEG, stories, and the use of the Internet, there was a substantial rate of “non-liking.”

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.072
GPT teacher head0.437
Teacher spread0.365 · 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 designNot applicable
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
Published2002
Admission routes1
Has abstractyes

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