The treatment of error in learners of Russian as a foreign language: Visual analytics

Authors

DOI:

https://doi.org/10.30827/portalin.viX.27276

Keywords:

Visual analytics, Education data mining, Foreign language teaching, Russian

Abstract

There are well-known challenges in the assessment of learning in general, and especially in foreign language learning. The treatment of error in the classroom is a recent topic of research and one that has given rise to multiple approaches to pinpoint, identify and classify the errors made by learners of foreign and second languages. This article presents a methodological model based on visual analytics and education data mining to optimise teacher intervention in the face of individual and collective errors in the Russian language classroom. The methodology has been tested on learners of Russian as a foreign language at the University of Granada. It comprised an online questionnaire for skills assessment, with 75 questions that were classified by grammatical category and sub-category. It was filled out by the learners of the 2021/2022 academic year, yielding 31 responses. The responses were then analysed through visual analytics and education data mining techniques. Clustering questions and learners allowed the identification of different error patterns and groups of learners with common errors. This serves to demonstrate the usefulness of these techniques for classroom assessment.

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Author Biographies

I. A. González-Hidalgo, University of Granada

Inés de los Ángeles González Hidalgo holds a degree in Modern Languages and their Literatures with a major in Russian Language (UGR). She is currently studying for a master’s degree in Secondary Teacher Training (UGR) and looks forward to starting her PhD next year. Her scientific activity and interests are focused on error analysis and foreign language teaching and learning.

Benamí Barros García, University of Granada

Benami Barros Garcia holds a PhD in Slavic Philology & Indo-European Linguistics (UGR 2011, extraordinary doctoral award), a master’s degree in Psychobiology & Cognitive Neuroscience (UAB 2015) and a degree in Slavic Philology (UGR 2006). Currently, he is the head of the Slavic Philology department at UGR. He focuses on Second Language Teaching & Learning, Digital Humanities, Russian Studies, Translation Teaching and Discourse Analysis.

Wenceslao Arroyo-Machado, University of Granada

Wenceslao Arroyo Machado is PhD student in Information and Communication Technologies, supported by a FPU predoctoral fellowship at the Department of Information and Communication of the University of Granada (UGR). He holds a degree in Information and Documentation and a master’s degree in Data Science and Computer Engineering (UGR). He is a member of EC3 Research Group. His works focus on scientometrics, altmetrics and data science. 

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Published

2024-03-08

How to Cite

González-Hidalgo, I. A., Barros García, B., & Arroyo-Machado, W. (2024). The treatment of error in learners of Russian as a foreign language: Visual analytics. Porta Linguarum An International Journal of Foreign Language Teaching and Learning, (X), 31–46. https://doi.org/10.30827/portalin.viX.27276