scholarly journals The Critical Intersection of Heritage Language Learning and eTandem Learning Environments

2018 ◽  
Vol 48 ◽  
pp. 97-112
Author(s):  
Alexis Vollmer Rivera ◽  
Kaitlyn Teske

At first glance, the growing popularity of eTandem mobile applications for language learning purposes seems to facilitate the connection and collaboration of speakers from all different locations and walks of life. However, when looking more deeply at the design of these applications, an exclusive dichotomy is revealed that prescribes use only by Native Speakers (NS) and Second Language Learners (L2), leaving no consideration for the needs of Heritage Language Learners (HLL). This perpetuation of the hierarchical ranking of language learners and speakers mirrors these same power structures that are present in society (Valdés, González, López García, & Márquez, 2003). In order to explore the apparent lack of space for HLL, this study critically analyzes two eTandem mobile applications, HelloTalk and Tandem. By means of Content Analysis (Krippendorff, 1989) of the applications’ affordances informed by a Critical Applied Linguistics framework (Pennycook, 2001), the study finds that there are various features that might offer HLL a space within this environment and foster their affective and educational needs. However, these features are not a primary focus of the application design and the way in which these features could be used to support HLLs’ development is totally dependent on the individual experiences of each user. Utilizing these findings, the investigators offer a set of suggestions for future research in order to advocate for social change manifested by the inclusion of HLL in language learning technologies. In addition, they discuss pedagogical implications for the current state of affairs in order to prepare HLL for interaction with these virtual power structures.

2014 ◽  
Vol 11 (1) ◽  
pp. 29-44 ◽  
Author(s):  
Janet S. Oh ◽  
Bertha A. Nash

Research on background factors in adult language learners’ success has largely focused on first-time learners of a second language. In this study, we utilize a well-established second language learner model (the Socioeducational Model; Gardner, 1985a) to compare heritage language and second language learners in a first-semester college Spanish class. Participants (31 heritage language learners; 80 second language learners) completed a survey at the end of the semester assessing their ethnic identity, language backgrounds, attitudes and motivation toward learning Spanish. Course grades were collected as a measure of language learning success. Results indicate that heritage language learners and second language learners are similar on most background factors, but that the background factors predicting each group’s language learning success are quite different. Implications for our understanding of language learners and future research directions are discussed.


2004 ◽  
Vol 2 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Maria Carreira

What is a heritage language learner (HLL)? We argue that a pedagogically valuable answer to this question must do more than describe all individuals who ought be considered HLLs; it should also offer a roadmap for meeting the needs of HLLs with regard to language learning. To achieve this goal, which we refer to as achieving “explanatory adequacy”, the answer to the above question must 1) differentiate HLLs from second-language learners (SLLs), 2) differentiate HLLs from first-language learners (L1Ls), and 3) differentiate between different types of HLLs. In reference to the first task, we propose that HLLs are students whose identity and/or linguistic needs differ from those of second language learners by virtue of having a family background in the heritage language (HL) or culture (HC). In reference to the second task, we argue that unlike L1L-s, HLLs do not receive sufficient exposure to their language and culture to fulfill basic identity and linguistic needs. Consequently, they pursue language learning to fulfill these needs. Finally, with regard to the third task, we map out four categories of HLLs, each with different identity and linguistic needs. Along the way, we advocate for endowing all language courses where HLLs are enrolled with a focus on identity and language issues, as these relate to family background.


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.


Author(s):  
Angelene McLaren

Language teachers and students are making a mass exodus in theory and practice in the field of secondlanguage instruction. They are leaving behind boring drills, nonsensical memorizations and endless strings of grammatical rules and are demanding a shift from traditional language learning to modern language acquisition. Language acquisition means being culturally literate and commutatively competent in a language (Byrnes, 2001). This change requires finding effective ways to facilitate this paradigm shift. This chapter will try to answer the following questions: Can language simulations foster language acquisition and communicative competence in adult second-language learners? It will also explore: what language acquisition is and how it is obtained; theoretical foundations of language acquisition; learning simulations and what makes them effective; language simulations – how and why they work; what simulations can do to promote communicative competence; a practical example; future applications and importance of language simulations; and what future research is necessary to fulfill this promise.


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 ◽  
Vol 30 ◽  
pp. 3-23 ◽  
Author(s):  
Silvina Montrul

An increasing trend in many postsecondary foreign language classes in North America is the presence of heritage language learners. Heritage language learners are speakers of ethnolinguistically minority languages who were exposed to the language in the family since childhood and as adults wish to learn, relearn, or improve their current level of linguistic proficiency in their family language. This article discusses the development of the linguistic and grammatical knowledge of heritage language speakers from childhood to adulthood and the conditions under which language learning does or does not occur. Placing heritage language acquisition within current and viable cognitive and linguistic theories of acquisition, I discuss what most recent basic research has so far uncovered about heritage speakers of different languages and their language learning process. I conclude with directions for future research.


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.


2011 ◽  
pp. 1954-1966
Author(s):  
Angelene McLaren

Language teachers and students are making a mass exodus in theory and practice in the field of secondlanguage instruction. They are leaving behind boring drills, nonsensical memorizations and endless strings of grammatical rules and are demanding a shift from traditional language learning to modern language acquisition. Language acquisition means being culturally literate and commutatively competent in a language (Byrnes, 2001). This change requires finding effective ways to facilitate this paradigm shift. This chapter will try to answer the following questions: Can language simulations foster language acquisition and communicative competence in adult second-language learners? It will also explore: what language acquisition is and how it is obtained; theoretical foundations of language acquisition; learning simulations and what makes them effective; language simulations – how and why they work; what simulations can do to promote communicative competence; a practical example; future applications and importance of language simulations; and what future research is necessary to fulfill this promise.


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.


2005 ◽  
Vol 2 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Derrin Pinto

This cross-sectional study in interlanguage pragmatics analyzes the requests employed by English-speaking learners of L2 Spanish, using data collected from university students at four different levels of language learning. The most common request strategies are first identified in a cross-linguistic analysis of Spanish and English and are then compared to the interlanguage data. The requests of lower-level students are found to be more idiosyncratic and pragmatically ambiguous than those of advanced learners, although not necessarily more direct. Advanced learners show signs of improvement, but still rely largely on L1 request behavior. Learners at all levels display more difficulties in areas in which there is cross-linguistic variation between the L1 and L2.


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