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Record W4388923784 · doi:10.5539/hes.v13n4p208

Developing Critical Thinking Dispositions through Academic Assertiveness among Higher Education Students in Thailand

2023· article· en· W4388923784 on OpenAlexvenueno aff
Keerthi Prabhakar PS, Chatupol Yongsorn, Chakrit Ponathong

Bibliographic record

VenueHigher Education Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsAssertivenessCritical thinkingPsychologyContext (archaeology)Psychological interventionHigher educationSocial psychologyPedagogy

Abstract

fetched live from OpenAlex

This research delves into the intricate landscape of academic assertiveness among higher education students in Thailand, focusing on developing critical thinking dispositions and related behaviors. Our investigation uncovered noteworthy patterns that resonated across diverse institutions, shedding light on the multifaceted challenges faced by students. These encompassed a common fear of negative consequences, the profound influence of cultural norms on assertive behaviors, a pervasive lack of self-confidence, a genuine desire for improved communication skills, susceptibility to peer influence, and the impact of the educational context itself. While an incremental improvement in academic assertiveness scores was discernible in the post-discussion phase, it is vital to acknowledge that this improvement did not attain statistical significance. This finding prompts reflection on the efficacy of the conducted discussion and suggests that it may need to be augmented by continuous and more potent interventions. It underscores the importance of cultivating an academic environment that values and nurtures academic assertiveness as an essential component of critical thinking development. The culmination of this study offers valuable insights into the intricate web of factors that influence academic assertiveness among higher education students. It underscores the necessity for a nuanced approach, encompassing ongoing interventions and creating a learning environment that empowers students to express themselves assertively, ultimately fostering the growth of critical thinking dispositions and behaviors.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.135
GPT teacher head0.497
Teacher spread0.362 · 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 designObservational
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

Citations2
Published2023
Admission routes1
Has abstractyes

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