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What is NLPTs

Chapter 14
Recent Tools for Computer- and Mobile-Assisted Foreign Language Learning
Natural Language Processing-Based Technologies.
Published in Chapter:
Designing In-Service Teacher Training for Computer- and Mobile-Assisted Foreign Language Learning: A Mixed-Methods and SWOT Analysis of the TELL-OP Training Module for Language Professionals
Alice Meurice (Université catholique de Louvain, Belgium) and Fanny Meunier (Université catholique de Louvain, Belgium)
Copyright: © 2020 |Pages: 18
DOI: 10.4018/978-1-7998-1097-1.ch014
Abstract
The chapter discusses the importance of in-service teacher training (INSET) to promote the use of open natural language processing (NLP)-based technologies (NLPTs). The first section briefly outlines the affordances of technology for second language acquisition and emphasizes the potential of open NLPTs. The second section presents the overall INSET design used in the TELL-OP ERASMUS+ project led by a team of researchers from several European universities. Section 3 provides a quantitative and qualitative analysis of the questionnaires and feedback data from Belgian French-speaking teachers (n = 86) on the TELL-OP online training module. A SWOT analysis (strengths, weaknesses, opportunities, and threats) is used to complement the teachers' feedback. In the fourth section, the authors put the course design into perspective using several theoretical models on the use of technology and open access resources in education, and provide suggestions for improving future similar INSET initiatives.
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