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S032 1/2 | Data-driven learning: Expanding corpus-based applications and evaluating their effectiveness

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Session Information

Data-Driven Learning (DDL), i.e. teaching and learning languages with the help of corpora, has been shown to be effective and efficient for many pedagogical purposes and in various contexts. Nevertheless, in its canonical form it is still far from common educational practice. Furthermore, more methodologically rigorous empirical evaluations of DDL processes and outcomes are needed. To address these issues, we invite proposals that focus on one of two broad DDL strands: (1) DDL and open educational resources and practices. Proposals may address the use of open-access corpora in DDL, the development of open educational resources and practices in DDL (e.g., open educational tools, language and content course curricula, teacher and learner guides), DDL and the web/search engines, and more. (2) Empirical evaluation and research methodology in DDL. Proposals may report on quantitative, qualitative, or mixed-method empirical studies of DDL outcomes, behaviors, and representations in language and/or content courses, address intersections of DDL with other approaches and methodologies, or discuss methodological issues in DDL research. Collaborative proposals and proposals addressing DDL for languages other than English or beyond a university context are especially welcome.

Virtual Session Symposium
August 19, 2021 08:30 AM - August 19, 2022 12:00 Noon(Europe/Amsterdam)
Venue : Room 1
20210819T0830 20210819T1200 Europe/Amsterdam S032 1/2 | Data-driven learning: Expanding corpus-based applications and evaluating their effectiveness

Data-Driven Learning (DDL), i.e. teaching and learning languages with the help of corpora, has been shown to be effective and efficient for many pedagogical purposes and in various contexts. Nevertheless, in its canonical form it is still far from common educational practice. Furthermore, more methodologically rigorous empirical evaluations of DDL processes and outcomes are needed. To address these issues, we invite proposals that focus on one of two broad DDL strands: (1) DDL and open educational resources and practices. Proposals may address the use of open-access corpora in DDL, the development of open educational resources and practices in DDL (e.g., open educational tools, language and content course curricula, teacher and learner guides), DDL and the web/search engines, and more. (2) Empirical evaluation and research methodology in DDL. Proposals may report on quantitative, qualitative, or mixed-method empirical studies of DDL outcomes, behaviors, and representations in language and/or content courses, address intersections of DDL with other approaches and methodologies, or discuss methodological issues in DDL research. Collaborative proposals and proposals addressing DDL for languages other than English or beyond a university context are especially welcome.

 Room 1 AILA 2021 aila2021@gcb.nl
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View Abstract

Dynamic data-driven learning

FeaturedAILA Symposium 08:30 AM - 12:00 Noon (Europe/Amsterdam) 2021/08/19 06:30:00 UTC - 2022/08/19 10:00:00 UTC
Data-driven Learning (DDL) has taken two main directions. Learners can engage with corpora the hard, hands-on way, or they can observe pre-selected corpus output the soft, hands-off way. This paper proposes a third way of engaging with DDL: D-DDL, or Dynamic Data-Driven Learning. After explaining D-DDL, two examples will be given: (1) ColloCaid (a writing assistant providing D-DDL academic English collocation suggestions) and (2) BAWE Quicklinks (a tool for providing D-DDL essay feedback).
Presenters Ana Frankenberg-Garcia
University Of Surrey
View Abstract

Corpus-driven Approach of English Vocabulary Learning at Chinese Tertiary Level Program

StandardAILA Symposium 08:30 AM - 12:00 Noon (Europe/Amsterdam) 2021/08/19 06:30:00 UTC - 2022/08/19 10:00:00 UTC
This corpus-driven approach tries to raise the students’ consciousness of learning English vocabulary innovatively with the RIPE model: resource-providing, information-inputting, paradigm-setting and evaluation-enhancing. The application of RIPE model is encouraging in the way that this method has not only aroused the students’ motivation in learning, but also their critical thinking.
Presenters Yurong Zheng
Mentor, Harbin Engineering University
View Abstract

Learning L2 Non-Congruent Collocations: The Effect of a Corpus-assisted Contrastive Analysis and Translation Approach

StandardAILA Symposium 08:30 AM - 12:00 Noon (Europe/Amsterdam) 2021/08/19 06:30:00 UTC - 2022/08/19 10:00:00 UTC
Research on the acquisition of L2 collocations has examined different instructional conditions under which these can be best learnt. However, none has investigated the efficacy of a corpus-assisted contrastive analysis and translation approach on learning non-congruent collocations despite the evident theoretical and pedagogical grounds in support of the integration. The current study investigates this integration and argues for its implementation.
Presenters Rezan Alharbi
King Saud University
View Abstract

Direct and Indirect Data-Driven Learning: Affordances and Constraints

StandardAILA Symposium 08:30 AM - 12:00 Noon (Europe/Amsterdam) 2021/08/19 06:30:00 UTC - 2022/08/19 10:00:00 UTC
This presentation reports on an experimental study designed to compare the effectiveness and efficiency of a direct and an indirect approach to data-driven learning in facilitating Chinese learners’ mastery of hedging in an undergraduate English-as-a-foreign-language writing class.
Presenters Xiaoya Sun
Nanyang Technological University
View Abstract

Corpora in interaction: A conversational study of Data-Driven Learning interactions with the FLEURON database

StandardAILA Symposium 08:30 AM - 12:00 Noon (Europe/Amsterdam) 2021/08/19 06:30:00 UTC - 2022/08/19 10:00:00 UTC
From an interactional perspective, we provide a fine-grained qualitative analysis of Data-Driven Learning interactions between French as Foreign Language students and trainers, during the exploration of the FLEURON database. Conversational and multimodal resources play a pivotal role in the selection of concordance-based instances and the identification of recurrent linguistic patterns.
Presenters Biagio Ursi
Aix-Marseille University Co-authors
VA
 Virginie André
University Of Lorraine
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Featured Speaker
Dr. Ana Frankenberg-Garcia
University of Surrey
Dr. Yurong Zheng
mentor
,
Harbin Engineering University
Dr. Rezan Alharbi
King Saud University
Xiaoya Sun
Nanyang Technological University
Dr. Biagio Ursi
Aix-Marseille University
+ 1 more speakers. View All
Prof. Alex Boulton
Prof. Alex Boulton
University of Lorraine
Nina Vyatkina
Nina Vyatkina
University of Kansas
Iryna Menke-Bazhutkina
Iryna Menke-Bazhutkina
AILA2021 volunteer
,
University of Groningen
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Slides

AILA__DynamicDDL_Frankenberg_Garcia_AILA
Dynamic data-driven learning
 0 Submitted by Ana Frankenberg-Garcia
AILA__AILA_S_Presented_by_Sun_Xiaoya
Direct and Indirect Data-Driven Learn...
 0 Submitted by Xiaoya Sun
AILA__S_Corpus_driven_Approach_in_vocabulary_learning__ZHENG_Yurong_
Corpus-driven Approach of English Voc...
 0 Submitted by Yurong Zheng
AILA__AILA
Learning L2 Non-Congruent Collocation...
 0 Submitted by Rezan Alharbi
AILA_1629301314Bibliography_URSIANDRE.pdf
Corpora in interaction: A conversatio...
 0 Submitted by Biagio Ursi
AILA_1629368945Transcripts-Excerpts_URSIANDRE.pdf
Corpora in interaction: A conversatio...
 0 Submitted by Biagio Ursi
AILA__Ursi_Andre_AILA_presentation_LQ
Corpora in interaction: A conversatio...
 0 Submitted by Biagio Ursi

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