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Record W4283724800 · doi:10.19044/esj.2022.v18n18p62

The Use of Literature in EFL Classroom: Italian Canadian Short Stories as a Teaching Innovation Experience Through Flipped Classroom Strategy

2022· article· en· W4283724800 on OpenAlexaboutno aff
Concetta Maria Sigona

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsFlipped classroomMathematics educationPsychologyFlipped learningSociologyPedagogy

Abstract

fetched live from OpenAlex

The aim of this article consists of showing that motivation is necessary for the success of a teaching and learning experience in an online classroom. By using the flipped learning method, the student becomes the central part of learning, being more active than in the traditional class and taking responsibility for his/her learning. He/she goes from being a mere spectator who only listens to the teacher's speech to someone with a voice in the classroom structured to allow student to acquire knowledge and build different competencies. The experience described below by implementing the flipped learning in the subject Contemporary Culture and Society of the Anglophone Communities, of the online Bachelor's Degree in Spanish Language and Literature, at the University of Burgos, excitement and self-expression replaced fear and dread. This awareness helped students in the construction of critical thinking and, in this specific case, culture and literature represented a better way for students to understand and know the society in which the language used in the texts is the language spoken (Valdes, 1986). During the first phase of this experience, the 56 students were divided into 14 groups of four members in each one; they were given instructions by different videos recorded by the teacher and during which she explained what to do, how to develop the project and how to proceed and deliver the final task. She also introduced the general topic of the Unit “Acculturation, adaptation and sense of belonging in women emigrants through Italian Canadian short stories” by uploading different readings by different women writers who had migrated from Italy to Canada for different reasons and in different periods since XX century until today. Mostly based on real events, these writings unveil the different coping strategies deployed by Italian Canadian women and how they dealt with the complex process of settling into life in a new country. After having chosen the writer to work on the 14 groups proceeded to research and investigate them. They also kept regular contact with the teacher by fora or tutorials so the teacher could track and monitor their learning progress and needs. The project consisted of preparing a presentation on the woman writer selected including the context she lived in and her work. During the last phase, after the task delivery, she asked all groups to share the posters and presentations and to ask questions and comments about them in a forum opened for that purpose. Finally, a questionnaire on their perception of the flipped learning approach in the course was prepared and distributed to the students. The result of this experience has shown that the flipped learning strategy succeeded in motivating the students to build and acquire knowledge and to reach beneficial outcomes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0140.009
Scholarly communication0.0060.003
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.138
GPT teacher head0.390
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations1
Published2022
Admission routes1
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