Correcting spellings in second language learners’ computer-assisted collaborative writing

2015 ◽  
Vol 7 (1) ◽  
pp. 36-57 ◽  
Author(s):  
Nigel Musk
2017 ◽  
pp. 367-389 ◽  
Author(s):  
Catia Cucchiarini ◽  
Helmer Strik

This chapter examines the use of Automatic Speech Recognition (ASR) technology in the context of Computer Assisted Language Learning (CALL) and language learning and teaching research. A brief introduction to ASR is first provided, to make it clear why and how this technology can be used to the benefit of learning and development in second language (L2) spoken discourse. This is followed by an overview of the state of the art in research on ASR-based CALL. Subsequently, a number of relevant projects on ASR-based CALL conducted at the Centre for Language and Speech Technology of the Radboud University in Nijmegen (the Netherlands) are presented. Possible solutions and recommendations are discussed given the current state of the technology with an explanation of how such systems can be used to the benefit of Discourse Analysis research. The chapter concludes with a discussion of possible perspectives for future research and development.


2009 ◽  
Vol 26 (3) ◽  
pp. 445-466 ◽  
Author(s):  
Gillian Wigglesworth ◽  
Neomy Storch

The assessment of oral language is now quite commonly done in pairs or groups, and there is a growing body of research which investigates the related issues (e.g. May, 2007). Writing generally tends to be thought of as an individual activity, although a small number of studies have documented the advantages of collaboration in writing in the second language classroom (e.g. DiCamilla & Anton, 1997; Storch, 2005; Swain & Lapkin, 1998). Particularly in university contexts, group or pair assignments are widely used in many disciplines. In addition, collaborative writing could be used in second language classroom assessment contexts as formative assessment. However, research which compares texts produced by learners collaboratively to texts produced individually, and the implications of this for assessment practices, is rare. This study is a first step in the investigation of using collaborative writing in second language contexts and comparing the performance of two groups of second language learners: one group worked individually, and the other group worked in pairs. When writing in pairs, each pair produced a single text. All participants completed one writing task: an argumentative essay. The performances of the individuals (N = 48) and the pairs (N = 48) were compared on detailed discourse analytic measures of fluency, complexity and accuracy. This comparison revealed that collaboration impacted positively on accuracy, but did not affect fluency and complexity. A detailed analysis of the pair transcripts recorded during the writing activity provides insights into the ways in which pairs work together, and the foci of their endeavour. The implications of these findings for in-class assessment of second language writing are discussed.


Author(s):  
Catia Cucchiarini ◽  
Helmer Strik

This chapter examines the use of Automatic Speech Recognition (ASR) technology in the context of Computer Assisted Language Learning (CALL) and language learning and teaching research. A brief introduction to ASR is first provided, to make it clear why and how this technology can be used to the benefit of learning and development in second language (L2) spoken discourse. This is followed by an overview of the state of the art in research on ASR-based CALL. Subsequently, a number of relevant projects on ASR-based CALL conducted at the Centre for Language and Speech Technology of the Radboud University in Nijmegen (the Netherlands) are presented. Possible solutions and recommendations are discussed given the current state of the technology with an explanation of how such systems can be used to the benefit of Discourse Analysis research. The chapter concludes with a discussion of possible perspectives for future research and development.


2018 ◽  
Vol 15 (3) ◽  
pp. 341-368
Author(s):  
Laura Walls

Many studies have demonstrated the benefits of learner-learner interactions in the second language classroom; however, despite the growing number of heritage language learners (HLLs) that enroll in language courses, only recently have researchers begun to examine interactions among second language learners and HLLs. Still, HLL-HLL interactions go unexamined. The present study fills this gap in the literature by analyzing HLL-HLL interactions during collaborative writing activities in a Spanish classroom. Results indicate that learners resolve lexical, grammatical, and orthographic issues accurately in most cases. It also shows that learners rely heavily on their strengths in Spanish and thus, utilize their implicit knowledge of the language. Their intuition enables them to critically assess the appropriateness of certain words and structures according to their needs and intentions; however, it also means that they tend to not fully utilize the resources at their disposal. Pedagogical implications are discussed.


Author(s):  
Catia Cucchiarini ◽  
Helmer Strik

This chapter examines the use of Automatic Speech Recognition (ASR) technology in the context of Computer Assisted Language Learning (CALL) and language learning and teaching research. A brief introduction to ASR is first provided, to make it clear why and how this technology can be used to the benefit of learning and development in second language (L2) spoken discourse. This is followed by an overview of the state of the art in research on ASR-based CALL. Subsequently, a number of relevant projects on ASR-based CALL conducted at the Centre for Language and Speech Technology of the Radboud University in Nijmegen (the Netherlands) are presented. Possible solutions and recommendations are discussed given the current state of the technology with an explanation of how such systems can be used to the benefit of Discourse Analysis research. The chapter concludes with a discussion of possible perspectives for future research and development.


2014 ◽  
pp. 618-639
Author(s):  
Catia Cucchiarini ◽  
Helmer Strik

This chapter examines the use of Automatic Speech Recognition (ASR) technology in the context of Computer Assisted Language Learning (CALL) and language learning and teaching research. A brief introduction to ASR is first provided, to make it clear why and how this technology can be used to the benefit of learning and development in second language (L2) spoken discourse. This is followed by an overview of the state of the art in research on ASR-based CALL. Subsequently, a number of relevant projects on ASR-based CALL conducted at the Centre for Language and Speech Technology of the Radboud University in Nijmegen (the Netherlands) are presented. Possible solutions and recommendations are discussed given the current state of the technology with an explanation of how such systems can be used to the benefit of Discourse Analysis research. The chapter concludes with a discussion of possible perspectives for future research and development.


2010 ◽  
Author(s):  
Katherine J. Midgley ◽  
Laura N. Soskey ◽  
Phillip J. Holcomb ◽  
Jonathan Grainger

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