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Record W6990076137

Complete Issue Volume 13 Issue 2

2013· article· en· W6990076137 on OpenAlexfundno aff

Bibliographic record

VenueIndiana Magazine of History (Indiana University) · 2013
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
FundersUniversidade do MinhoYoungstown State UniversityMcMaster UniversityHigher Education Research and Development Society of AustralasiaUniversity of WyomingUniversity of Texas at San AntonioCarnegie Foundation for the Advancement of TeachingJohn W. Anderson FoundationIndiana University-Purdue University IndianapolisNational Science Foundation
KeywordsClickerFormative assessmentPurchasingPerceptionValue (mathematics)Volume (thermodynamics)
DOInot available

Abstract

fetched live from OpenAlex

This research study explored the effects of the use of clicker technology as a means of formative assessment in large, college introductory psychology courses.Academic achievement, as measured by performance on tests of knowledge, was compared between students who used clickers and students that did not use clickers.There was a significant difference between the two groups, although a small effect was noted.Students using the clickers responded to survey items created to solicit information regarding student perceptions of increased understanding, ability to self-identify content deficits, fun, and financial value of clickers.Data from the survey indicated that the majority of students perceived the usage of clickers increased their understanding of and ability to self-identify concept areas.All of the students reported that using clickers was fun, although approximately only one third of those same students reported that purchasing a clicker was worthwhile.Implications for administrators are discussed and alternative technologies are explored.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.575
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.012
GPT teacher head0.171
Teacher spread0.159 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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