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Record W1983429518 · doi:10.1080/09588221.2010.486577

Students' and instructors' attitudes toward the use of CALL in foreign language teaching and learning

2010· article· en· W1983429518 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.

Bibliographic record

VenueComputer Assisted Language Learning · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPerceptionClass (philosophy)Mathematics educationForeign languageLanguage acquisitionPsychologyLanguage educationTeaching methodEducational technologyComputer science

Abstract

fetched live from OpenAlex

This study examines the effects of educational technologies on the attitudes of both the instructors and the students. The results indicate that there is a discrepancy between the students' awareness of the instructors' goals for using new technologies and the importance instructors placed on computer assisted language learning (CALL). The data also indicate a disparity between the students' reported use of CALL and instructors' perceptions of students' use of CALL, as well as between the types of technologies instructors thought were useful for students' success and those that students thought were useful for their own success. A comparison of students' log-in frequencies and the average time they spent on CALL activities per week, with the instructors' daily journals for each class indicated that instructors' behaviour had an effect on students' patterns of CALL use. As very few studies have made a comparison between students' attitudes and instructors' perceptions of the use of educational technologies, this study helps to fill a gap in the literature and leads to a better understanding of the use of CALL in second language teaching.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.036
GPT teacher head0.281
Teacher spread0.245 · 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