People

Renato Pavlekovic

Assistant Lecturer
Department of Language and Linguistics
Visiting Fellow
Department of Language and Linguistics
 Renato Pavlekovic

Profile

Biography

Renato is a data scientist and quantitative researcher at the University of Essex, specializing in the cognitive processes involved in second language (L2) learning. His research explores how individual differences such as language aptitude and working memory impact L2 acquisition. A key aspect of his work is examining how these cognitive abilities interact with L2 proficiency and the difficulty of linguistic structures. With expertise in both cross-sectional and longitudinal research designs, Renato applies advanced statistical and machine learning techniques to analyze language learning patterns. His methodological approach includes regression analysis, multilevel modeling, structural equation modeling, and unsupervised learning methods like cluster analysis. His work bridges data science and cognitive research, leveraging quantitative methods to uncover insights into how cognitive abilities influence language learning outcomes.

Qualifications

  • BSc Computer Science University of Rijeka,

  • MA TESOL University of Essex,

  • PhD Applied Linguistics University of Essex,

Research and professional activities

Research interests

Explicit and implicit knowledge and learning

As a researcher in second language acquisition, my focus is on the investigation of explicit and implicit language knowledge. Explicit knowledge involves conscious awareness of the linguistic structure, while implicit knowledge is acquired subconsciously through exposure and interaction. Understanding the interaction of these knowledge types (the interface issue) is crucial for effective second language learning. My research provides insights into effective second language learning methods.

Key words: explicit knowledge

Language aptitude and working memory in SLA

Explicit and implicit language aptitude and working memory play a significant role in second language acquisition. Specifically, the intricate interplay between these factors is critical for comprehending individual differences in SLA. My research aims to investigate this interplay and its effect on successful SLA by examining the extent to which language aptitude and working memory predict second language proficiency, as well as the underlying mechanisms that mediate this relationship.

Key words: explicit language aptitude

Reaction time measures in applied linguistics

My research interest lies in the use of reaction time (RT) experiments in applied linguistics. Specifically, I am interested in developing and validating RT-based measures to assess various aspects of language processing in second language contexts. RT experiments have the potential to provide valuable insights into the cognitive mechanisms underlying language use and acquisition. I aim to contribute to the refinement and advancement of RT methods for investigating language processing.

Key words: reaction time experiments in applied linguistics

Measures of explicit and implicit language aptitude

I focus on validating and refining the measures of explicit and implicit language aptitude, such as LLAMA (Language Learning and Aptitude Measurement in Adults) and SRT (Serial Reaction Time) tasks. LLAMA (putatively) measures explicit and implicit language aptitude, while SRT measures implicit language aptitude. By exploring their relationship with other factors like working memory I aim to deepen the understanding of individual differences in second language learning.

Key words: LLAMA

Statistical models in linguistics

My research interest lies in exploring the application of advanced statistical techniques, such as Rasch analysis, regression analysis, factor analysis, and structural equation modeling in the examination of complex linguistic data. Specifically, I am focused on developing innovative and robust statistical methods that can effectively model and interpret linguistic data, with the ultimate goal of contributing to the advancement of the field of applied linguistics.

Key words: regression

Publications

Journal articles (4)

Roehr-Brackin, K. and Pavlekovic, R., Language learning aptitude as a predictor of late-life L2 learning at beginner level. Language Teaching Research

Roehr-Brackin, K., Baranowska, K., Pavlekovic, R. and Scheffler, P., (2024). The role of individual learner differences in explicit language instruction. The Modern Language Journal. 108 (4), 815-845

Pavlekovic, R. and Roehr-Brackin, K., (2024). Aptitude for explicit and implicit learning. Journal of the European Second Language Association. 8 (1), 1-17

Roehr-Brackin, K., Loaiza, V. and Pavlekovic, R., (2023). Language learning aptitude in older adults. Journal of the European Second Language Association. 7 (1), 1-15

Contact

r.pavlekovic@essex.ac.uk

Location:

Colchester Campus