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Record W2940790764

An e-mail tandem learning project involving ESL and FSL secondary school students : a sociocultural perspective

2007· article· en· W2940790764 on OpenAlexaboutno aff
Sabrina Priego

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Sociocultural perspectiveSociocultural evolutionMathematics educationPedagogyComputer sciencePsychologySociologyArtificial intelligenceAnthropology
DOInot available

Abstract

fetched live from OpenAlex

This study examined project-based, e-mail tandem exchanges between ESL and FSL secondary school students. Drawing on a sociocultural perspective (Lantolf, 2000; Parks, 2000; Wells, 1999), it sought to investigate (a) the strategies employed by secondary ESL and FSL students to provide scaffolding to their e-mail tandem partners, (b) the resources used by students when composing their e-mails, (c) the use of the feedback provided by their e-mail tandem partners when revising their reports, (d) the usefulness of the notion of motive, as defined by sociocultural theory, to explain the differences in the way the tandem partners oriented to the exchanges (i.e., how they engaged and invested themselves in the e-mail exchanges), and (e) the teachers' perceptions of the use of tandem e-mail as a language learning tool. One group of 30 intermediate-level Frenchspeaking ESL students in a secondary school (Secondary 4) in Québec was paired up with two groups of intermediate-level English-speaking FSL students (total 30) in a secondary school (Grade 11 ) in Ontario. The joint reading of articles taken from newspapers and magazines of interest to teenagers formed the basis for the e-mail discussions. Data, collected over an 18-week period during the 2004-2005 academic year, were obtained from four main sources: written documents, observations, questionnaires, and interviews. The main findings were the following: (1) Using a taxonomy adapted from Villamil and De Guerrero's (1996) taxonomy of substrategies for providing scaffolding, analysis of e-mails showed that both ESL and FSL students provided scaffolding to one another by resorting to various strategies. In both groups, giving explicit feedback was the most salient strategy employed by the students when functioning as the NS tutor. (2) Findings from various sources of data collection methods showed that during the composing of their e-mails, both groups drew on a variety of resources. (3) An analysis of first and second drafts revealed that ESL students incorporated 91 % of the corrections provided by their tandem partners, while the FSL students incorporated 74 %. (4) Although the findings showed that the majority of the students participating in the e-mail tandem project had minimally completed the basic course requirements, the analysis of eight case study participants revealed individual differences in the way the latter oriented to the tasks and subsequently carried them out. These results were linked to the notion of motive, as defined by sociocultural theory. (5) Although the teachers reported that their students had benefited from the authentic communication with native speakers and from the feedback they received from them, data also revealed that they had been confronted with a number of challenges. In contrast to previous research that has focused on adult L2 learners (e.g., Appel, 1997; Appel & Gilabert, 2002; Belz, 2001, 2002a, 2002b, 2003; Belz & Kinginger, 2002, 2003; Lee, 2004; Liaw & Johnson, 2001; Muller-Hartmann, 2000; O'Dowd, 2003), this study sheds light on the degree to which L2 secondary school students are capable of giving each other feedback.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
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
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.228
Teacher spread0.217 · 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 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

Citations1
Published2007
Admission routes1
Has abstractyes

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