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Record W2258579076 · doi:10.20381/ruor-5641

Effects of Explicit and Implicit Focus on Form Instructional Methods on the Acquisition of Spanish L2 Future of Probability

2016· dissertation· en· W2258579076 on OpenAlexaboutno aff
Irina Goundareva

Bibliographic record

VenueuO Research (University of Ottawa) · 2016
Typedissertation
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFocus (optics)Computer scienceMathematics educationMathematicsPsychologyCognitive psychologyStatisticsPhysics

Abstract

fetched live from OpenAlex

This thesis investigated possible effects of explicit and implicit focus on form (FonF) instruction on the acquisition of Spanish future of probability (SFP) by Anglophone and Francophone students at a Canadian bilingual university. We also analyzed a possible L1 transfer from French to L2 Spanish in the acquisition of SFP, due to the typological similarity of this linguistic feature in the two languages. Twenty seven B1/B2 Spanish level students including L1 English and L1 French learners of L2 Spanish were divided into three groups according to the instruction type: explicit focus on form instruction group, implicit focus on form instruction group and control group, which received no additional instruction. All the participants were tested before the lesson (pretest), immediately after (posttest) and four weeks later (delayed posttest). The battery of tests included Untimed Grammaticality Judgment (UGJT), Written Production (WPT) and Oral Production (OPT) tasks. They aimed to test our four hypotheses which focused on both short-term and long-term effects of the two types of instruction on grammaticality judgment, written and oral production of SFP, respectively. The results demonstrated a positive effect of explicit and implicit FonF instruction on grammaticality judgment, oral and written production of SFP compared to the control group. In particular, both instructional groups distinguished grammatical and ungrammatical uses of SFP with state and activity verbs immediately after the treatment. After four weeks, both groups retained the acquired knowledge equally well. In the implicit FonF group we found an advantage of the L1 French over the L1 English students, possibly due to the similarity of the future tense morphology in Spanish and French, as well as the fact that French uses future morphology for present time probability, although in very limited contexts (a subset of state verbs). The results of the WPT suggest an advantage of the explicit FonF group in both immediate and long-term results and showed no difference between the L1s in either of the instructional groups. We also noticed an overgeneralization of the use of SFP with telic verbs in both instructional groups after the treatment, which is considered ungrammatical. Therefore, our participants did not distinguish the written use of telic and atelic verbs in epistemic conditions after the two types of treatment provided. The OPT results demonstrated that similarly to the previous two tasks both experimental groups performed better than the Control group. However, there was no significant difference between the two instructional groups. L1 had no significant effect on the oral production of SFP either. Similarly to the WPT, we found an overgeneralization of the use of SFP in telic verb conditions. Overall, Anglophone and Francophone students appear to have similar opportunities for successful acquisition of SFP and both explicit and implicit FonF instruction, activities and feedback may lead to positive results in the acquisition of SFP. To conclude this thesis, we discuss some challenges of this study and possible directions of future research.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.995

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.029
GPT teacher head0.362
Teacher spread0.333 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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