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Record W4309782360 · doi:10.5539/ies.v15n6p84

Comparing Teachers’ and Students’ Perspectives of Student Engagement in Higher Education: Between Performativity and Invisibility

2022· article· en· W4309782360 on OpenAlexvenueno aff
Paulo Padilla Petry, Sara Pérez-Hernando, Julio Rodríguez Rodríguez, Cristina Martí

Bibliographic record

VenueInternational Education Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
FundersUniversitat de Barcelona
KeywordsStudent engagementPerformativityHigher educationPedagogyInvisibilitySociologyTeaching methodPsychologyMathematics educationPolitical science

Abstract

fetched live from OpenAlex

Student engagement in higher education has been studied from various perspectives, but few studies have compared teachers’ and students’ perspectives on the subject. Considering that student engagement may be reduced to a performativity scarcely related to learning outcomes and that a good deal of it may be invisible to teachers, further studies are needed to contrast teachers’ and students’ views of student engagement in higher education. This article presents the results of a quantitative study about definitions and indicators of student engagement carried out with 118 students and 45 teachers of Law, Education and Nursing from two Catalan public universities (Spain). The results confirm the performativity associated with the concept by both teachers and students, and reveal that students may appreciate silent and invisible engagement more than teachers. The results also show that teachers may conflate signs of student engagement with good academic results and learning, risking an oversimplification of both student engagement and learning.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.006
Scholarly communication0.0060.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.252
GPT teacher head0.498
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Education Studies→Same topicHigher Education Practises and Engagement→French-language works237,207→