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Record W2799516879 · doi:10.24124/2014/bpgub1658

The effectiveness of student response systems on engagement and achievement in high school science instruction

2014· dissertation· en· W2799516879 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsCanadian Mennonite UniversityUniversity of AlbertaUniversity of Northern British Columbia
Fundersnot available
KeywordsSummative assessmentInteractive whiteboardWhiteboardStudent engagementMathematics educationClass (philosophy)Context (archaeology)ClickerGovernment (linguistics)Student achievementPsychologyComputer sciencePedagogyAcademic achievementMultimediaFormative assessmentGeography

Abstract

fetched live from OpenAlex

The use of technology to extend and change the daily experience of education in traditional classrooms continues to rise. The Alberta government is committed to using technology in classrooms and has provided direct funding to install an LCD projector and an interactive whiteboard in nearly every classroom in the province . Motivating this change is a common belief that technology will engage students and transform the classroom into a learning environment in which younger generations can underst and and excel. This study evaluated those beliefs in the context of another common technology; student response systems. A comparison was made between science units taught with and without these systems to answer the following question: Do student response systems increase class engagement and summative achievement? This study concluded that in public high school science classrooms these systems increased some measures of engagement but did not significantly improve student exam scores.

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)0.085
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0850.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.412
Teacher spread0.379 · 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

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

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