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Record W2057990887 · doi:10.5539/hes.v4n2p77

Do Active-Learning Strategies Improve Students’ Critical Thinking?

2014· article· en· W2057990887 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHigher Education Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
FundersUniversity of Texas at Arlington
KeywordsCritical thinkingActive learning (machine learning)Mathematics educationPsychologyTeaching methodService-learningTracking (education)Field (mathematics)Cooperative learningPedagogyComputer science

Abstract

fetched live from OpenAlex

Improving students’ ability to recognize work-related problems and apply effective strategies and solutions to fundamental challenges in the field is at the crux of a good college preparation. This paper attempts to investigate if active-learning strategies improve students’ critical thinking ability in this regard. Participants were pre-service teachers in physical education and athletic training education taking a teaching methods service-learning course. Findings showed significant improvement with critical thinking measures across both quasi experimental conditions. As a result, gains were largely attributed to the service-learning field component common to both conditions. Furthermore, academic tracking showed students pursuing a B.A. in physical education benefitted significantly more from the active-learning assessment than students pursuing a B.S. in athletic training. The paper also discusses how the active-learning sequence was a preferred method of instruction and how these strategies were purposeful with problematizing teaching situations and engaging students with course content. This paper may draw interest from educators who are research-minded and eager to apply critical thinking approaches in a learning environment.

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)0.003
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.083
GPT teacher head0.513
Teacher spread0.430 · 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