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Making ICALL’s intelligence accessible and understandable : evaluation, validation, and future directions of ICALL ecosystems

Jasper Degraeuwe (UGent) and Patrick Goethals (UGent)
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Abstract
In this paper, we will reflect upon the revised and expanded version of the Intelligent Computer-Assisted Language Learning (ICALL) ecosystem developed in Degraeuwe and Goethals (2022a). We portray the upgraded version of the ecosystem and perform a reflective analysis on it following the same methodology as presented in Degraeuwe and Goethals (2022a). The analysis is carried out by means of a case study with 22 participants who study Spanish as a foreign language and who work with the ecosystem in a blended writing course focused on vocabulary learning and lexical ambiguity. Students’ attitudes towards engaging in the ICALL ecosystem are gauged through a questionnaire, which revealed a slight but non-significant positive change in attitude (compared to a statistically significant positive change in Degraeuwe and Goethals 2022a). However, it should be noted that the initial attitudes before engaging with the ecosystem were already very positive (5.32 on an 8-point Likert scale), which might have made it more challenging for the ecosystem to have a considerable impact. Additionally, an analysis at question level showed that sparking curiosity about language technology and providing a good user experience remain challenging aspects.
Keywords
Intelligent Computer-Assisted Language Learning, Natural Language Processing, reflective analysis, user attitudes

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MLA
Degraeuwe, Jasper, and Patrick Goethals. “Making ICALL’s Intelligence Accessible and Understandable : Evaluation, Validation, and Future Directions of ICALL Ecosystems.” CALL for All Languages : EUROCALL 2023 Short Papers, edited by Branislav Bédi et al., Editorial Universitat Politécnica de Valéncia, 2023, pp. 145–52, doi:10.4995/eurocall2023.2023.16952.
APA
Degraeuwe, J., & Goethals, P. (2023). Making ICALL’s intelligence accessible and understandable : evaluation, validation, and future directions of ICALL ecosystems. In B. Bédi, Y. Choubsaz, K. Friðriksdóttir, A. Gimeno-Sanz, S. B. Vilhjálmsdóttir, & S. Zahova (Eds.), CALL for all Languages : EUROCALL 2023 Short Papers (pp. 145–152). https://doi.org/10.4995/eurocall2023.2023.16952
Chicago author-date
Degraeuwe, Jasper, and Patrick Goethals. 2023. “Making ICALL’s Intelligence Accessible and Understandable : Evaluation, Validation, and Future Directions of ICALL Ecosystems.” In CALL for All Languages : EUROCALL 2023 Short Papers, edited by Branislav Bédi, Yazdan Choubsaz, Kolbrún Friðriksdóttir, Ana Gimeno-Sanz, Súsanna Björg Vilhjálmsdóttir, and Sofiya Zahova, 145–52. Editorial Universitat Politécnica de Valéncia. https://doi.org/10.4995/eurocall2023.2023.16952.
Chicago author-date (all authors)
Degraeuwe, Jasper, and Patrick Goethals. 2023. “Making ICALL’s Intelligence Accessible and Understandable : Evaluation, Validation, and Future Directions of ICALL Ecosystems.” In CALL for All Languages : EUROCALL 2023 Short Papers, ed by. Branislav Bédi, Yazdan Choubsaz, Kolbrún Friðriksdóttir, Ana Gimeno-Sanz, Súsanna Björg Vilhjálmsdóttir, and Sofiya Zahova, 145–152. Editorial Universitat Politécnica de Valéncia. doi:10.4995/eurocall2023.2023.16952.
Vancouver
1.
Degraeuwe J, Goethals P. Making ICALL’s intelligence accessible and understandable : evaluation, validation, and future directions of ICALL ecosystems. In: Bédi B, Choubsaz Y, Friðriksdóttir K, Gimeno-Sanz A, Vilhjálmsdóttir SB, Zahova S, editors. CALL for all Languages : EUROCALL 2023 Short Papers. Editorial Universitat Politécnica de Valéncia; 2023. p. 145–52.
IEEE
[1]
J. Degraeuwe and P. Goethals, “Making ICALL’s intelligence accessible and understandable : evaluation, validation, and future directions of ICALL ecosystems,” in CALL for all Languages : EUROCALL 2023 Short Papers, Reykjavik, Iceland, 2023, pp. 145–152.
@inproceedings{01HPT420NCAVXH4M0YX9YEN9P7,
  abstract     = {{In this paper, we will reflect upon the revised and expanded version of the Intelligent Computer-Assisted Language Learning (ICALL) ecosystem developed in Degraeuwe and Goethals (2022a). We portray the upgraded version of the ecosystem and perform a reflective analysis on it following the same methodology as presented in Degraeuwe and Goethals (2022a). The analysis is carried out by means of a case study with 22 participants who study Spanish as a foreign language and who work with the ecosystem in a blended writing course focused on vocabulary learning and lexical ambiguity. Students’ attitudes towards engaging in the ICALL ecosystem are gauged through a questionnaire, which revealed a slight but non-significant positive change in attitude (compared to a statistically significant positive change in Degraeuwe and Goethals 2022a). However, it should be noted that the initial attitudes before engaging with the ecosystem were already very positive (5.32 on an 8-point Likert scale), which might have made it more challenging for the ecosystem to have a considerable impact. Additionally, an analysis at question level showed that sparking curiosity about language technology and providing a good user experience remain challenging aspects.}},
  author       = {{Degraeuwe, Jasper and Goethals, Patrick}},
  booktitle    = {{CALL for all Languages : EUROCALL 2023 Short Papers}},
  editor       = {{Bédi, Branislav and Choubsaz, Yazdan and Friðriksdóttir, Kolbrún and Gimeno-Sanz, Ana and Vilhjálmsdóttir, Súsanna Björg and Zahova, Sofiya}},
  isbn         = {{9788413961316}},
  keywords     = {{Intelligent Computer-Assisted Language Learning,Natural Language Processing,reflective analysis,user attitudes}},
  language     = {{eng}},
  location     = {{Reykjavik, Iceland}},
  pages        = {{145--152}},
  publisher    = {{Editorial Universitat Politécnica de Valéncia}},
  title        = {{Making ICALL’s intelligence accessible and understandable : evaluation, validation, and future directions of ICALL ecosystems}},
  url          = {{http://doi.org/10.4995/eurocall2023.2023.16952}},
  year         = {{2023}},
}

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