Systematic Reviews and Meta Analysis
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Year 2023, Volume: 10 Issue: 3, 72 - 88, 01.05.2023
https://doi.org/10.17275/per.23.45.10.3

Abstract

References

  • Agarwal, C., & Chakraborty, P. (2019). A review of tools and techniques for computer aided pronunciation training (CAPT) in English. Education and Information Technologies, 24 (6), 3731-3743. https://doi.org/10.1007/s10639-019-09955-7
  • *Amrate, M. (2021). Collaborative vs. individual computer-assisted prosody training: a mixed-method case study with Algerian EFL undergraduates. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2021.1882503
  • Bajorek J.P (2017). L2 pronunciation in CALL: The unrealized potential of Rosetta Stone, Duolingo, Babbel, and Mango Languages. Issues and Trends in Educational Technology 5(1), 24–51. Retrieved from https://journals.librarypublishing.arizona.edu/itlt/article/id/1497/
  • *Barcomb, M., & Cardoso, W. (2020). Rock or lock? Gamifying an online course management system for pronunciation instruction: Focus on English /r/ and /l/. CALICO Journal, 37(2), 127-147. https://doi.org/10.1558/cj.36996
  • Bliss, H., Abel, J. & Gick, B. (2018). Computer-assisted visual articulation feedback in L2 pronunciation instruction: a review. Journal of Second Language Pronunciation 4, 129-153. https://doi.org/10.1075/jslp.00006.bli
  • *Bueno-Alastuey, C. (2010). Synchronous-voice computer-mediated communication: effects on Ppronunciation. CALICO Journal, 28(1), 1-20. https://doi.org/ 10.11139/cj.28.1.1-20
  • Busa, M. G. (2008). New perspectives in teaching pronunciation. In A. Baldry,
  • M. Pavesi, C. Taylor Torsello and C. Taylor (eds), From DIDACTAS to ECOLINGUA. An ongoing research project on translation and corpus linguistics (pp. 165–82). Trieste, Italy: Universita degli Studi di Trieste.
  • Chun, D. (2019). Computer-assisted pronunciation teaching.In Carol A. Chapelle (Eds.), The Encyclopedia of Applied Linguistics (pp.1-11). John Wiley & Sons.
  • Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46. https://doi.org/10.1177/001316446002000104
  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed. ). Boston, MA: Pearson.
  • Derwing, T. M., & Munro, M. J. (2005). Second language accent and pronunciation teaching: A research-based approach. TESOL Quarterly, 39, 379–397. https://doi.org/10.2307/3588486
  • Derwing, T.M., Diepenbroek, L. G., & Foote, J. A. (2012). How well do general-skills ESL textbooks address pronunciation? TESL Canada Journal, 30(1), 22–44. https://doi.org/10.18806/tesl.v30i1.1124.
  • *Elimat, A. K. and AbuSeileek, A. F. (2014). Automatic speech recognition technology as an effective means for teaching pronunciation. JALT CALL Journal, 10(1), 21–47. Retrieved from https://eric.ed.gov/?id=EJ1107929
  • Engwall, O. (2012). Analysis of and feedback on phonetic features in pronunciation training with a virtual teacher. Computer Assisted Language Learning, 25(1), 37-64, https://doi.org/10.1080/09588221.2011.582845
  • *Evers, K.,& Chen, S. (2020): Effects of an automatic speech recognition system with peer feedback on pronunciation instruction for adults. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2020.1839504
  • *Foote, J.A., & McDonough, K. (2017). Using shadowing with mobile technology to improve L2 pronunciation. Journal of Second Language Pronunciation, 3(1) 34–56. https://doi.org/10.1075/jslp.3.1.02foo
  • Fouz-González, J. A. (2015). Trends and directions in computer-assisted pronunciation training. In M. A. Mompean & J. Fouz-Gonza´lez, J. (Eds.), Investigating English pronunciation: Trends and directions (pp. 314–42). Basingstoke, England: Palgrave Macmillan.
  • *Fouz-González, J. (2017). Pronunciation instruction through Twitter: The case of commonly mispronounced words. Computer Assisted Language Learning 30(7), 631–663. https://doi.org/10.1080/09588221.2017.1340309
  • *Fouz-González, J. (2019). Podcast-based pronunciation training: Enhancing FL learners’ perception and production of fossilised segmental features. ReCALL, 31(2), 150-169, https://doi.org/10.1017/S0958344018000174
  • *Fouz-González, J. (2020). Using apps for pronunciation training: An empirical evaluation of the English File Pronunciation app. Language Learning & Technology 24(1), 62–85. https://doi.org/10125/44709
  • Franco, H., Bratt, H., Rossier, R., Rao Gadde, V., Shriberg, E., Abrash, V., & Precoda, K. (2010). EduSpeak®: A speech recognition and pronunciation scoring toolkit for computer-aided language learning applications. Language Testing, 27(3), 401–418. https://doi.org/10.1177/0265532210364408
  • *Gao, Y., & Hanna, B. E. (2016). Exploring optimal pronunciation teaching: Integrating instructional software into intermediate-level EFL classes in China. CALICO Journal, 33(2), 201–30. https://doi.org/10.1558/cj.v33i2.26054
  • *Garcia, C.,Nickolai,D., & Jones, L. (2020). Traditional versus ASR-based pronunciation instruction : An empirical study. Computer Assisted Language Learning, 37(3), 213–232. https://doi.org/10.1558/cj.40379
  • Gilakjani, A., & Rahimy, R. (2019). Using computer-assisted pronunciation teaching (CAPT) in English pronunciation instruction: A study on the impact and the teacher’s role. Education and Information Technologies, 25(2), 1129–1159. https://doi.org /101007/s10639-019-10009-1
  • *Hsu, L. (2016) An empirical examination of EFL learners' perceptual learning styles and acceptance of ASR-based computer-assisted pronunciation training. Computer Assisted Language Learning, 29(5), 881-900. https://doi.org/ 10.1080/09588221.2015.1069747.
  • Levis, J. (2007). Computer technology in teaching and researching. Annual Review of Applied Linguistics, 27, 184–202. https://doi.org/10.1017/S0267190508070098
  • Levis, J. (2016). The interaction of research and pedagogy. Journal of Second Language Pronunciation, 2(1), 1-7. [editorial]. https://doi.org/10.1075/jslp.2.1.001lev
  • Levis, J., & Suvorov, R. (2014). Automated speech recognition. In C. Chapelle (Ed.), The encyclopedia of applied linguistics. http://onlinelibrary.wiley.com/.
  • Li, M. (2018). Computer-mediated collaborative writing in L2 contexts: an analysis of empirical research. Computer Assisted Language Learning, 31(8), 882–904. https://doi.org/ 10.1080/09588221.2018.1465981
  • *Liakin, D., Cardoso, W. and Liakina, N. (2015). Learning L2 pronunciation with a mobile speech recognizer: French /y/. CALICO Journal, 32(1), 1–25. https://doi.org/10.1558/cj.v32i1.25962
  • *Liakin, D., Cardoso, W. & Liakina, N. (2017) The pedagogical use of mobile speech synthesis (TTS): focus on French liaison. Computer Assisted Language Learning, 30(3-4), 325-342. https://doi.org/10.1080/09588221.2017.1312463
  • Liao, H-C., Guan, Y-H., Tu, J-J., & Chen, J-C. (2014). A prototype of an adaptive Chinese pronunciation training. System. 45(1), 52-66. http://dx.doi.org/10.1016/j.system.2014.04.006
  • *Luo, B. (2016). Evaluating a computer-assisted pronunciation training (CAPT) technique for efficient classroom instruction, Computer Assisted Language Learning, 29(3), 451–476. https://doi.org/10.1080/09588221.2014.963123.
  • Mahdi, H.S., & Al Khateeb, A.A. (2019). Context and Implications Document for: The effectiveness of computer-assisted pronunciation training: A meta-analysis. Review of Education, 7(3), 754–756. https://doi.org/10.1002/rev3.3165
  • *Martin, I.A. (2020). Pronunciation development and instruction in distance language learning. Language Learning & Technology, 24(1), 86-106. https://doi.org/10125/44711
  • *Martinsen,R., Montgomery, C.,, & Willardson, V. (2017). The effectiveness of video-based shadowing and tracking pronunciation exercises for foreign language learners. Foreign Language Annals, 50(4), 661–680. https://doi.org/10.1111/flan.12306
  • *McCrocklin, S. (2016). Pronunciation learner autonomy: The potential of Automatic Speech Recognition. System, 57, 25-42. http://dx.doi.org/10.1016/j.system.2015.12.013
  • *McCrocklin, S. (2019a). ASR-based dictation practice for second language pronunciation improvement. Journal of Second Language Pronunciation, 5(1), 98–118. https://doi.org/10.1075/jslp.16034.mcc
  • *McCrocklin, S. (2019b). ASR-based dictation practice for second language pronunciation improvement. Journal of Second Language Pronunciation 5(1), 98–118. https://doi.org/10.1075/jslp.16034.mcc
  • McMillan, J. H. (2000). Educational research: Fundamentals for the consumer (3rd ed.). New York, NY: Harper Collins.
  • *Mompean, J. A, 6, Fouz-Gonzalez, J. (2016). Twitter-based EFL pronunciation instruction. Language Learning and Technology, 20(1), 166-190. Retrieved from http://llt.msu.edu/issues/february2016/mompeanfouzgonzalez.pdf
  • Morin, R. (2007). A neglected aspect of the standards: Preparing foreign language Spanish teachers to teach Ppronunciation. Foreign Language Annals, 40 (2), 342-260. Retrieved from https://www.actfl.org/i4a/pages/index.cfm?pageid=3320
  • Neri, A. Cucchiarini, C., & Strik, H. (2003). Automatic Speech Recognition for second language learning: How and why it actually works. In Proceedings of 15th International Congress of Phonetic Sciences, pp. 1157–1160.
  • O’Brien, M. G. (2011). Teaching and assessing pronunciation with computer technology. In
  • N. Arnold & L. Ducate (Eds.), Present and Future Promises of CALL: From Theory and Research to New Directions in Language Teaching (2nd ed.) (pp. 375–406). San Marcos, Texas: CALICO Monograph Series, 375-406.
  • *Olson, D. J. (2014). Benefits of visual feedback on segmental production in the L2 classroom. Language Learning & Technology, 18(3), 173–92. Retrieved from http://llt.msu.edu/issues/october2014/olson.pdf
  • Ouni, S. (2014) Tongue control and its implication in pronunciation training. Computer Assisted Language Learning, 27(5), 439-453. https://doi.org/10.1080/09588221.2012.761637
  • Peng, X., Chen, H., Wang, L., & Wang, H. (2018). Evaluating a 3-D virtual talking head on pronunciation learning. International Journal of Human-Computer Studies, 109, 26–40. https://doi.org/10.1016/j.ijhcs.2017.08.001
  • Peterson, M. (2021). Digital simulation games in CALL: a research review. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2021.1954954
  • *Qian, M., Chukharev-Hudalainen, E., & Levis, J. (2018). A system for adaptive high- variability segmental-perceptual training: Implementation, effectiveness, and transfer. Language Learning and Technology, 22, 69–96. https://doi.org/10125/44582
  • *Quintana-Lara, M. (2014) Effect of Acoustic Spectrographic Instruction on production of English /i/ and /I/ by Spanish pre-service English teachers, Computer Assisted Language Learning, 27(3), 207-227. https://doi.org/10.1080/09588221.2012.724424
  • Rogerson-Revell, P. (2021). Computer-assisted pronunciation training (CAPT): Current Issues and Future Directions. RELC Journal, 52(1), 189-205. https://doi.org/10.1177/003368822097740
  • Scovel, T. (2000). A critical review of the critical period research. Annual Review of Applied Linguistics, 20, 213-223. https://doi.org/10.1017/S0267190500200135
  • Stemler, S. (2001). An overview of content analysis. Practical Assessment, Research and Evaluation, 7(17), 137-146. https://doi.org/10.7275/z6fm-2e34
  • *Thomson, R.I. (2011). Computer- assisted pronunciation training: Target-ing second language vowel perception improves pronunciation. CALICO Journal, 28(3), 744-765. Retrieved from https://www.jstor.org/stable/calicojournal.28.3.744
  • *Tsai, P. (2019). Beyond self-directed computer-assisted pronunciation learning: A qualitative investigation of a collaborative approach. Computer Assisted Language Learning 32(7), 713-744. https://doi.org/10.1080/09588221.2019. 1614069
  • van Doremalen, J., Boves, L., Colpaert, J., Cucchiarini, C., & Strik, H. (2016). Evaluating automatic speech recognition-based language learning systems: A case study. Computer Assisted Language Learning, 29(4), 833–851. https://doi.org/10.1080/09588221.2016.1 167090

Computer-Assisted Pronunciation Teaching: An Analysis of Empirical Research

Year 2023, Volume: 10 Issue: 3, 72 - 88, 01.05.2023
https://doi.org/10.17275/per.23.45.10.3

Abstract

Computer-assisted pronunciation teaching has been shown to have favourable learning outcomes for language learners, which brought about the emergence of increasing body of research on this topic. Despite some attempted review studies, no systematic review of the line of the relevant literature has hitherto been observed. This study seeks to fill in this gap by reviewing the research on computer-assisted pronunciation teaching in L2 classes published between 2010 and 2021 May. 26 studies were scrutinized in terms of their contexts and participants, technology used, pronunciation aspect analysed, research design and focus, data collection tools and theoretical framework. The results showed that most of the studies were conducted with EFL/ESL learners at university level. Computer-assisted pronunciation training (CAPT) and Automatic Speech Recognition (ASR) programs were utilized more than other technological tools. Quantitative design was the dominant research method, which was followed by mixed method design while few studies were grounded in a theoretical framework. Segmental features of pronunciation received more attention. Pronunciation achievement, learner perceptions, relationship between some variables related to pronunciation learning and student interaction/ participation were the main topics of investigation. The findings suggested that teachers had a key role in promoting the effectiveness of computer-assisted pronunciation teaching by scaffolding, motivating, and guiding the learners as they use CAPT or technological tools. To this end teacher training that supports teachers in developing these competencies can be beneficial. Further research can focus on languages other than English, be conducted in primary and secondary school level and have longitudinal designs.

References

  • Agarwal, C., & Chakraborty, P. (2019). A review of tools and techniques for computer aided pronunciation training (CAPT) in English. Education and Information Technologies, 24 (6), 3731-3743. https://doi.org/10.1007/s10639-019-09955-7
  • *Amrate, M. (2021). Collaborative vs. individual computer-assisted prosody training: a mixed-method case study with Algerian EFL undergraduates. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2021.1882503
  • Bajorek J.P (2017). L2 pronunciation in CALL: The unrealized potential of Rosetta Stone, Duolingo, Babbel, and Mango Languages. Issues and Trends in Educational Technology 5(1), 24–51. Retrieved from https://journals.librarypublishing.arizona.edu/itlt/article/id/1497/
  • *Barcomb, M., & Cardoso, W. (2020). Rock or lock? Gamifying an online course management system for pronunciation instruction: Focus on English /r/ and /l/. CALICO Journal, 37(2), 127-147. https://doi.org/10.1558/cj.36996
  • Bliss, H., Abel, J. & Gick, B. (2018). Computer-assisted visual articulation feedback in L2 pronunciation instruction: a review. Journal of Second Language Pronunciation 4, 129-153. https://doi.org/10.1075/jslp.00006.bli
  • *Bueno-Alastuey, C. (2010). Synchronous-voice computer-mediated communication: effects on Ppronunciation. CALICO Journal, 28(1), 1-20. https://doi.org/ 10.11139/cj.28.1.1-20
  • Busa, M. G. (2008). New perspectives in teaching pronunciation. In A. Baldry,
  • M. Pavesi, C. Taylor Torsello and C. Taylor (eds), From DIDACTAS to ECOLINGUA. An ongoing research project on translation and corpus linguistics (pp. 165–82). Trieste, Italy: Universita degli Studi di Trieste.
  • Chun, D. (2019). Computer-assisted pronunciation teaching.In Carol A. Chapelle (Eds.), The Encyclopedia of Applied Linguistics (pp.1-11). John Wiley & Sons.
  • Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46. https://doi.org/10.1177/001316446002000104
  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed. ). Boston, MA: Pearson.
  • Derwing, T. M., & Munro, M. J. (2005). Second language accent and pronunciation teaching: A research-based approach. TESOL Quarterly, 39, 379–397. https://doi.org/10.2307/3588486
  • Derwing, T.M., Diepenbroek, L. G., & Foote, J. A. (2012). How well do general-skills ESL textbooks address pronunciation? TESL Canada Journal, 30(1), 22–44. https://doi.org/10.18806/tesl.v30i1.1124.
  • *Elimat, A. K. and AbuSeileek, A. F. (2014). Automatic speech recognition technology as an effective means for teaching pronunciation. JALT CALL Journal, 10(1), 21–47. Retrieved from https://eric.ed.gov/?id=EJ1107929
  • Engwall, O. (2012). Analysis of and feedback on phonetic features in pronunciation training with a virtual teacher. Computer Assisted Language Learning, 25(1), 37-64, https://doi.org/10.1080/09588221.2011.582845
  • *Evers, K.,& Chen, S. (2020): Effects of an automatic speech recognition system with peer feedback on pronunciation instruction for adults. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2020.1839504
  • *Foote, J.A., & McDonough, K. (2017). Using shadowing with mobile technology to improve L2 pronunciation. Journal of Second Language Pronunciation, 3(1) 34–56. https://doi.org/10.1075/jslp.3.1.02foo
  • Fouz-González, J. A. (2015). Trends and directions in computer-assisted pronunciation training. In M. A. Mompean & J. Fouz-Gonza´lez, J. (Eds.), Investigating English pronunciation: Trends and directions (pp. 314–42). Basingstoke, England: Palgrave Macmillan.
  • *Fouz-González, J. (2017). Pronunciation instruction through Twitter: The case of commonly mispronounced words. Computer Assisted Language Learning 30(7), 631–663. https://doi.org/10.1080/09588221.2017.1340309
  • *Fouz-González, J. (2019). Podcast-based pronunciation training: Enhancing FL learners’ perception and production of fossilised segmental features. ReCALL, 31(2), 150-169, https://doi.org/10.1017/S0958344018000174
  • *Fouz-González, J. (2020). Using apps for pronunciation training: An empirical evaluation of the English File Pronunciation app. Language Learning & Technology 24(1), 62–85. https://doi.org/10125/44709
  • Franco, H., Bratt, H., Rossier, R., Rao Gadde, V., Shriberg, E., Abrash, V., & Precoda, K. (2010). EduSpeak®: A speech recognition and pronunciation scoring toolkit for computer-aided language learning applications. Language Testing, 27(3), 401–418. https://doi.org/10.1177/0265532210364408
  • *Gao, Y., & Hanna, B. E. (2016). Exploring optimal pronunciation teaching: Integrating instructional software into intermediate-level EFL classes in China. CALICO Journal, 33(2), 201–30. https://doi.org/10.1558/cj.v33i2.26054
  • *Garcia, C.,Nickolai,D., & Jones, L. (2020). Traditional versus ASR-based pronunciation instruction : An empirical study. Computer Assisted Language Learning, 37(3), 213–232. https://doi.org/10.1558/cj.40379
  • Gilakjani, A., & Rahimy, R. (2019). Using computer-assisted pronunciation teaching (CAPT) in English pronunciation instruction: A study on the impact and the teacher’s role. Education and Information Technologies, 25(2), 1129–1159. https://doi.org /101007/s10639-019-10009-1
  • *Hsu, L. (2016) An empirical examination of EFL learners' perceptual learning styles and acceptance of ASR-based computer-assisted pronunciation training. Computer Assisted Language Learning, 29(5), 881-900. https://doi.org/ 10.1080/09588221.2015.1069747.
  • Levis, J. (2007). Computer technology in teaching and researching. Annual Review of Applied Linguistics, 27, 184–202. https://doi.org/10.1017/S0267190508070098
  • Levis, J. (2016). The interaction of research and pedagogy. Journal of Second Language Pronunciation, 2(1), 1-7. [editorial]. https://doi.org/10.1075/jslp.2.1.001lev
  • Levis, J., & Suvorov, R. (2014). Automated speech recognition. In C. Chapelle (Ed.), The encyclopedia of applied linguistics. http://onlinelibrary.wiley.com/.
  • Li, M. (2018). Computer-mediated collaborative writing in L2 contexts: an analysis of empirical research. Computer Assisted Language Learning, 31(8), 882–904. https://doi.org/ 10.1080/09588221.2018.1465981
  • *Liakin, D., Cardoso, W. and Liakina, N. (2015). Learning L2 pronunciation with a mobile speech recognizer: French /y/. CALICO Journal, 32(1), 1–25. https://doi.org/10.1558/cj.v32i1.25962
  • *Liakin, D., Cardoso, W. & Liakina, N. (2017) The pedagogical use of mobile speech synthesis (TTS): focus on French liaison. Computer Assisted Language Learning, 30(3-4), 325-342. https://doi.org/10.1080/09588221.2017.1312463
  • Liao, H-C., Guan, Y-H., Tu, J-J., & Chen, J-C. (2014). A prototype of an adaptive Chinese pronunciation training. System. 45(1), 52-66. http://dx.doi.org/10.1016/j.system.2014.04.006
  • *Luo, B. (2016). Evaluating a computer-assisted pronunciation training (CAPT) technique for efficient classroom instruction, Computer Assisted Language Learning, 29(3), 451–476. https://doi.org/10.1080/09588221.2014.963123.
  • Mahdi, H.S., & Al Khateeb, A.A. (2019). Context and Implications Document for: The effectiveness of computer-assisted pronunciation training: A meta-analysis. Review of Education, 7(3), 754–756. https://doi.org/10.1002/rev3.3165
  • *Martin, I.A. (2020). Pronunciation development and instruction in distance language learning. Language Learning & Technology, 24(1), 86-106. https://doi.org/10125/44711
  • *Martinsen,R., Montgomery, C.,, & Willardson, V. (2017). The effectiveness of video-based shadowing and tracking pronunciation exercises for foreign language learners. Foreign Language Annals, 50(4), 661–680. https://doi.org/10.1111/flan.12306
  • *McCrocklin, S. (2016). Pronunciation learner autonomy: The potential of Automatic Speech Recognition. System, 57, 25-42. http://dx.doi.org/10.1016/j.system.2015.12.013
  • *McCrocklin, S. (2019a). ASR-based dictation practice for second language pronunciation improvement. Journal of Second Language Pronunciation, 5(1), 98–118. https://doi.org/10.1075/jslp.16034.mcc
  • *McCrocklin, S. (2019b). ASR-based dictation practice for second language pronunciation improvement. Journal of Second Language Pronunciation 5(1), 98–118. https://doi.org/10.1075/jslp.16034.mcc
  • McMillan, J. H. (2000). Educational research: Fundamentals for the consumer (3rd ed.). New York, NY: Harper Collins.
  • *Mompean, J. A, 6, Fouz-Gonzalez, J. (2016). Twitter-based EFL pronunciation instruction. Language Learning and Technology, 20(1), 166-190. Retrieved from http://llt.msu.edu/issues/february2016/mompeanfouzgonzalez.pdf
  • Morin, R. (2007). A neglected aspect of the standards: Preparing foreign language Spanish teachers to teach Ppronunciation. Foreign Language Annals, 40 (2), 342-260. Retrieved from https://www.actfl.org/i4a/pages/index.cfm?pageid=3320
  • Neri, A. Cucchiarini, C., & Strik, H. (2003). Automatic Speech Recognition for second language learning: How and why it actually works. In Proceedings of 15th International Congress of Phonetic Sciences, pp. 1157–1160.
  • O’Brien, M. G. (2011). Teaching and assessing pronunciation with computer technology. In
  • N. Arnold & L. Ducate (Eds.), Present and Future Promises of CALL: From Theory and Research to New Directions in Language Teaching (2nd ed.) (pp. 375–406). San Marcos, Texas: CALICO Monograph Series, 375-406.
  • *Olson, D. J. (2014). Benefits of visual feedback on segmental production in the L2 classroom. Language Learning & Technology, 18(3), 173–92. Retrieved from http://llt.msu.edu/issues/october2014/olson.pdf
  • Ouni, S. (2014) Tongue control and its implication in pronunciation training. Computer Assisted Language Learning, 27(5), 439-453. https://doi.org/10.1080/09588221.2012.761637
  • Peng, X., Chen, H., Wang, L., & Wang, H. (2018). Evaluating a 3-D virtual talking head on pronunciation learning. International Journal of Human-Computer Studies, 109, 26–40. https://doi.org/10.1016/j.ijhcs.2017.08.001
  • Peterson, M. (2021). Digital simulation games in CALL: a research review. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2021.1954954
  • *Qian, M., Chukharev-Hudalainen, E., & Levis, J. (2018). A system for adaptive high- variability segmental-perceptual training: Implementation, effectiveness, and transfer. Language Learning and Technology, 22, 69–96. https://doi.org/10125/44582
  • *Quintana-Lara, M. (2014) Effect of Acoustic Spectrographic Instruction on production of English /i/ and /I/ by Spanish pre-service English teachers, Computer Assisted Language Learning, 27(3), 207-227. https://doi.org/10.1080/09588221.2012.724424
  • Rogerson-Revell, P. (2021). Computer-assisted pronunciation training (CAPT): Current Issues and Future Directions. RELC Journal, 52(1), 189-205. https://doi.org/10.1177/003368822097740
  • Scovel, T. (2000). A critical review of the critical period research. Annual Review of Applied Linguistics, 20, 213-223. https://doi.org/10.1017/S0267190500200135
  • Stemler, S. (2001). An overview of content analysis. Practical Assessment, Research and Evaluation, 7(17), 137-146. https://doi.org/10.7275/z6fm-2e34
  • *Thomson, R.I. (2011). Computer- assisted pronunciation training: Target-ing second language vowel perception improves pronunciation. CALICO Journal, 28(3), 744-765. Retrieved from https://www.jstor.org/stable/calicojournal.28.3.744
  • *Tsai, P. (2019). Beyond self-directed computer-assisted pronunciation learning: A qualitative investigation of a collaborative approach. Computer Assisted Language Learning 32(7), 713-744. https://doi.org/10.1080/09588221.2019. 1614069
  • van Doremalen, J., Boves, L., Colpaert, J., Cucchiarini, C., & Strik, H. (2016). Evaluating automatic speech recognition-based language learning systems: A case study. Computer Assisted Language Learning, 29(4), 833–851. https://doi.org/10.1080/09588221.2016.1 167090
There are 58 citations in total.

Details

Primary Language English
Subjects Other Fields of Education
Journal Section Research Articles
Authors

Behice Ceyda Cengiz 0000-0002-9963-434X

Publication Date May 1, 2023
Acceptance Date March 2, 2023
Published in Issue Year 2023 Volume: 10 Issue: 3

Cite

APA Cengiz, B. C. (2023). Computer-Assisted Pronunciation Teaching: An Analysis of Empirical Research. Participatory Educational Research, 10(3), 72-88. https://doi.org/10.17275/per.23.45.10.3