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THE SPEAKING SECTION OF THE TOEFL IBT™ (SSTIBT): TEST‐TAKERS' REPORTED STRATEGIC BEHAVIORS

2009· article· en· W1980407112 on OpenAlex
Merrill Swain, Li‐Shih Huang, Khaled Barkaoui, Lindsay Brooks, Sharon Lapkin

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.

Bibliographic record

VenueETS Research Report Series · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of VictoriaYork UniversityInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsTest of English as a Foreign LanguagePsychologyTest (biology)MetacognitionConstruct (python library)CognitionVariety (cybernetics)Social psychologyCognitive psychologyMathematics educationApplied psychologyLanguage assessmentComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

ABSTRACT This study responds to the Test of English as a Foreign Language™ (TOEFL ® ) research agenda concerning the need to understand the processes and knowledge that test‐takers utilize. Specifically, it investigates the strategic behaviors test‐takers reported using when taking the Speaking section of the TOEFL iBT™ (SSTiBT). It also investigates how the reported strategic behaviors differed across integrated and independent tasks in the SSTiBT, as well as the relationship between test‐takers' reported strategic behaviors and their performance on the tasks as determined by their test scores. The participating students were 14 graduate and 16 undergraduate engineering students whose first language was Chinese. The results indicate that test‐takers reported using 49 separate strategies when completing the SSTiBT tasks. Of the five strategy categories, the metacognitive, communication, and cognitive strategies were proportionally the most frequently reported. The interrelationships among these three categories were negative. Undergraduates reported using significantly more communication strategies, whereas graduates reported using significantly more cognitive and affective strategies. No statistically significant differences were found in reported strategy use across proficiency levels. The integrated tasks were more alike with respect to reported strategy use than were the independent and integrated tasks. Furthermore, the integrated tasks elicited a wider variety of reported strategy use than the independent tasks. Overall, we found no relationship between the total number of reported strategic behaviors and total test score on the SSTiBT. We conclude that strategy use is integral to performing SSTiBT tasks and should therefore be considered as part of the construct of communicative performance. However, the relationship between strategy use and test performance is varied and is due to complex interactions among test‐taker characteristics, tasks, and contexts.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.144
GPT teacher head0.373
Teacher spread0.229 · 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