Teaching Syntax with Clarin Corpora and Resources
Document type :
Communication dans un congrès avec actes
Title :
Teaching Syntax with Clarin Corpora and Resources
Author(s) :
Conference title :
CLARIN Annual Conference 2023
Conference organizers(s) :
CLARIN ERIC
City :
Leuven (BE)
Country :
Belgique
Start date of the conference :
2023-10-16
Book title :
CLARIN Annual Conference Proceedings
Publication date :
2023
English keyword(s) :
Corpus linguistics
natural language processing
exercise generation
syntax
natural language processing
exercise generation
syntax
HAL domain(s) :
Sciences de l'Homme et Société/Linguistique
Informatique [cs]/Informatique et langage [cs.CL]
Informatique [cs]/Informatique et langage [cs.CL]
English abstract : [en]
The recent COVID-19 pandemic has brought online learning to the forefront for learners andteachers. As a consequence, the demand for self-paced and adaptive learning resources hasreached unprecedented levels. Prior to the ...
Show more >The recent COVID-19 pandemic has brought online learning to the forefront for learners andteachers. As a consequence, the demand for self-paced and adaptive learning resources hasreached unprecedented levels. Prior to the virus outbreak and consecutive lockdowns, universitieshad been using Moodle (and other SCORM1 compliant platforms) as a Learning ManagementSystem (LMS), which has helped make the transition from on-site to online learning. But teach-ers still have had to face the challenge of designing and implementing assessment activities inthe form of self-correcting activities (true/false, multiple answer questions, mark the words, fill inthe blanks questions, etc.), instead of plain printed quizzes and tests. This step has proved to be amajor hurdle since designing, and most of all, manually editing formative and evaluative assess-ment activities is a very labor-intensive task. In this article, we present a framework that buildsupon corpora and resources available from the LINDAT / CLARIAH-CZ Data & Tools platformin order to generate quizzes and other activities related to syntax, for the Moodle platform. Aftersome background on using Natural Language Processing (NLP) and electronic corpora for teach-ing syntax, we present our corpus-to-quiz processing chain, and we outline preliminary resultson deploying automatically generated French syntax quizzes in the classroom.Show less >
Show more >The recent COVID-19 pandemic has brought online learning to the forefront for learners andteachers. As a consequence, the demand for self-paced and adaptive learning resources hasreached unprecedented levels. Prior to the virus outbreak and consecutive lockdowns, universitieshad been using Moodle (and other SCORM1 compliant platforms) as a Learning ManagementSystem (LMS), which has helped make the transition from on-site to online learning. But teach-ers still have had to face the challenge of designing and implementing assessment activities inthe form of self-correcting activities (true/false, multiple answer questions, mark the words, fill inthe blanks questions, etc.), instead of plain printed quizzes and tests. This step has proved to be amajor hurdle since designing, and most of all, manually editing formative and evaluative assess-ment activities is a very labor-intensive task. In this article, we present a framework that buildsupon corpora and resources available from the LINDAT / CLARIAH-CZ Data & Tools platformin order to generate quizzes and other activities related to syntax, for the Moodle platform. Aftersome background on using Natural Language Processing (NLP) and electronic corpora for teach-ing syntax, we present our corpus-to-quiz processing chain, and we outline preliminary resultson deploying automatically generated French syntax quizzes in the classroom.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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