Skip to main content

Wir unterrichten die Maschinen, die Maschinen unterrichten uns

Dialogbasiertes computergestütztes Erlernen von Fremdsprachen im Zeitalter der Chatbots und der Personalisierung

  • Chapter
  • First Online:
Maschinen der Kommunikation

Part of the book series: ars digitalis ((AD))

  • 6348 Accesses

Zusammenfassung

Bisher war der Bereich des computergestützten Fremdspracherwerbs, ob dialogbasiert oder nicht, hauptsächlich in der Theorie des Fremdspracherwerbs verankert, die ihren Ursprung in der Forschung des Sprachunterrichts hat. Dementsprechend orientieren sich die Benutzermodelle am Verhalten der Schüler im Sprachunterricht, und die Systemmodelle sollen den Sprachlehrer in der einen oder anderen Form simulieren. Allerdings zeigen die neusten Untersuchungen in der Konversationsanalyse, dass zum einen der Fremdspracherwerb bei Weitem nicht nur in den Formen stattfindet, die wir aus dem Sprachunterricht kennen, und zum anderen, dass die Sprachvarianz im Unterricht sehr beschränkt ist. Diese Beschränkung ist hauptsächlich durch die sozialen Identitäten der Lehrer und Schüler gegeben. Sie bestimmen, welche Typen von sozialen Aktionen, die wir in der Sprache zum Ausdruck bringen, angemessen sind. Dieser Artikel argumentiert, dass eine intensivere Kooperation zwischen Sprachtechnologie und Konversationsanalyse erforderlich ist, um Dialogsysteme zu entwickeln, die sich in ihrer Qualität menschlicher Interaktion nähern. Es werden Vorschläge gemacht, wie man dieses anspruchsvolle Ziel erreichen könnte. Die Datenqualität spielt dabei eine besondere Rolle.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 29.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Literatur

  • Amaral L, Meurers D (2007) Conceptualizing student models for ICALL. In: Conati C, McCoy K, Paliouras G (Hrsg) User Modeling 2007. 11th International conference. Proceedings. Springer, Berlin, S 340–344

    Google Scholar 

  • Amaral L, Meurers D (2008) From recording linguistic competence to supporting inferences about language acquisition in context. Comput Assist Lang Learn 21(4):323–338

    Article  Google Scholar 

  • Amaral LA, Meurers D (2011) On using intelligent computer-assisted language learning in real-life foreign language teaching and learning. ReCALL 23(1):4–24

    Article  Google Scholar 

  • Angelova G et al (2004) Towards deeper understanding and personalisation in CALL. In: Lemnitzer L, Meurers D, Hinrichs E (Hrsg) COLING – The 20th international conference on computational linguistics. Workshop eLearning for computational linguistics and computational linguistics for eLearning. Proceedings. Association for Computational Linguistics, S 45–52

    Google Scholar 

  • Deppermann A, Blühdorn H (2013) Negation als Verfahren des Adressatenzuschnitts: verstehenssteuerung durch Interpretationsrestriktionen. Deutsche Sprache 41(1):6–30

    Google Scholar 

  • Fischer K (2016) Designing speech for a recipient: the roles of partner modeling, alignment and feedback in so-called „simplified registers“. John Benjamins, Amsterdam

    Book  Google Scholar 

  • Greene CE et al (2004) Using NLP technology in CALL. In: Delmonte R, Delcloque P, Tonelli S (Hrsg) NLP and speech technologies in advanced language learning systems. Proceedings of InSTIL/ICALL 2004 symposium on computer assisted learning. Unipress, o. S, Padova

    Google Scholar 

  • Gülich E, Mondada L (2012) Konversationsanalyse: Eine Einführung am Beispiel des Französischen. De Gruyter, Berlin

    Google Scholar 

  • Hattie J, Timperley H (2007) The power of feedback. Rev Educ Res 77(1):81–112

    Article  Google Scholar 

  • Heift T (2003) Multiple learner errors and meaningful feedback: a challenge for ICALL systems. CALICO Journal 20(3):533–548

    Google Scholar 

  • Heift T (2007) Learner personas in CALL. CALICO Journal 25(1):1–10

    Google Scholar 

  • Heift T (2016) Web delivery of adaptive and interactive language tutoring: revisited. Int J Artif Intell Educ 26(1):489–503

    Article  Google Scholar 

  • Hjalmarsson A, Wik P, Brusk J (2007) Dealing with DEAL: a dialogue system for conversation training. In: Simon Keizer S, Bunt H, Paek T (Hrsg) Proceedings of the 8th SIGdial workshop on discourse and dialogue. Stroudsburg (PA): Association for Computational Linguistics, S 132–135

    Google Scholar 

  • Höhn S (2016) Data-driven repair models for text chat with language learners. Dissertation, Luxemburgische Universität, Luxembourg

    Google Scholar 

  • Höhn S (2017) A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language. In: SIGDIAL 2017. 18th Annual meeting of the special interest group on discourse and dialogue. Proceedings of the conference15–17 August 2017 Saarbrücken, Germany. Association for Computational Linguistics, Stroudsburg (PA), S 395–405

    Google Scholar 

  • Holquist M (2002) Dialogism. Bakhtin and his world. Routledge, London

    Google Scholar 

  • Hosoda Y (2006) Repair and relevance of differential language expertise in second language conversations. Appl Linguist 27(1):25–50

    Article  Google Scholar 

  • Hutchby I, Wooffitt R (2008) Conversation analysis, 2. Aufl. Polity, Cambridge

    Google Scholar 

  • John-Steiner V, Panofsky CP, Smith LW (Hrsg) (1994) Sociocultural approaches to language and literacy. An interactionist perspective. Cambridge University Press, Cambridge

    Google Scholar 

  • Kasper G (2004) Participant orientations in German conversation-for-learning. Mod Lang J 88(4):551–567

    Article  Google Scholar 

  • Kasper G (2006) Beyond repair: conversation analysis as an approach to SLA. AILA Review 19(1):83–99

    Article  Google Scholar 

  • Lee A, Chen NF, Glass J (2016) Personalized mispronunciation detection and diagnosis based on unsupervised error pattern discovery. In: IEEE international conference on acoustics, speech and signal processing. Proceedings, IEEE, Piscataway, S 6145–6149

    Google Scholar 

  • Linell P (2009) Rethinking language, mind, and world dialogically. Interactional and contextual theories of human sense-making. Information Age Publishing, Charlotte

    Google Scholar 

  • Lipowsky F (2015) Unterricht. In: Wild E, Möller J (Hrsg) Pädagogische Psychologie, 2. Aufl. Springer, Berlin, S 69–105

    Google Scholar 

  • Mackey A, Abbuhl R, Gass SM (2012) Interactionist approach. In: Gass S, Mackey A (Hrsg) The routledge handbook of second language acquisition. Routledge, London, S 7–23

    Google Scholar 

  • Markee N (2000) Conversation analysis. Lawrence Erlbaum, Mahwah

    Book  Google Scholar 

  • Marques-Schäfer G (2013) Deutsch lernen online. Eine Analyse interkultureller Interaktionen im Chat. Gunter Narr, Tübingen

    Google Scholar 

  • McGinn JJ, Kotamraju N (2008) Data-driven persona development. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, New York, S 1521–1524

    Google Scholar 

  • Sacks H (1972) An initial investigation of the usability of conversational data for sociology. In: Sudnow D (Hrsg) Studies in social interaction. Free Press, New York, S 31–74

    Google Scholar 

  • Sagae A, Johnson WL, Valente A (2011) Conversational agents in language and culture training. In: Pascual-Nieto I, Perez-Marin D (Hrsg) Conversational agents and natural language interaction. Techniques and effective practices. Information Science Reference, Hershey, S 358–377

    Chapter  Google Scholar 

  • Schegloff EA (1972) Notes on a conversational practice: formulating place. In: Sudnow D (Hrsg) Studies in social interaction. Free Press, New York, S 75–119

    Google Scholar 

  • Schegloff EA (2007) Sequence organization in interaction. A primer in conversation analysis, Bd. 1. University Press, Cambridge

    Google Scholar 

  • Schulze M (2008) AI in CALL – Artificially inflated or almost imminent? CALICO Journal 25(3):510–527

    Article  Google Scholar 

  • Shevat A (2017) Designing bots. Creating conversational experiences. O’Reilly, Beijing

    Google Scholar 

  • Swartz ML, Yazdani M (Hrsg) (1992) Intelligent tutoring systems for foreign language learning. The bridge to international communication. Springer, Berlin

    Google Scholar 

  • ten Have P (2007) Doing conversation analysis. Sage, Los Angeles

    Book  Google Scholar 

  • Tudini V (2010) Online second language acquisition. Conversation analysis of online chat. Bloomsbury, London

    Google Scholar 

  • Vandewaetere M, Clarebout G (2014) Advanced technologies for personalized learning, instruction, and performance. In: Spector JM et al (Hrsg) Handbook of research on educational communications and technology, 4. Aufl. Springer, New York, S 425–437

    Chapter  Google Scholar 

  • VanPatten B, Williams J (Hrsg) (2014) Theories in second language acquisition. An introduction, 2. Aufl. Routledge, New York

    Google Scholar 

  • Vickers CH (2010) Language competence and the construction of expert-novice in NS-NNS interaction. J Pragmat 42(1):116–138

    Article  Google Scholar 

  • Wagner J, Gardner R (2004) Introduction. In: Gardner R, Wagner J (Hrsg) Second language conversations. Continuum, London, S 1–17

    Google Scholar 

  • Wahlster W, Kobsa A (1986) Dialogue-based user models. Proc IEEE 74(7):948–960

    Article  Google Scholar 

  • Webb N et al (2010) Wizard of Oz experiments for a companion dialogue system: eliciting companionable conversation. In: Proceedings of the seventh international conference on language resources and evaluation: LREC 2010. European Language Resources Association, Valletta, S 875–879

    Google Scholar 

  • Yang H-C, Zapata-Rivera D (2010) Interlanguage pragmatics with a pedagogical agent: the request game. Comput Assist Lang Learn 23(5):395–412

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sviatlana Höhn .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Höhn, S. (2020). Wir unterrichten die Maschinen, die Maschinen unterrichten uns. In: Klimczak, P., Petersen, C., Schilling, S. (eds) Maschinen der Kommunikation. ars digitalis. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-27852-6_5

Download citation

Publish with us

Policies and ethics