Ruslan Suvorov
Biographic Data
| ID | 5997930 |
|---|---|
| NAME | Ruslan Suvorov |
| GIVEN NAMES | Ruslan |
| FAMILY NAME | Suvorov |
| SIGNATURE | SUVOROV R |
| AFFILIATIONS | Western University |
| ORCID | 0000-0003-2736-5205 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Quantitative Methods
Quantitative approaches to studying issues in applied linguistics call for an understanding of a wide array of key concepts and selection of relevant statistical techniques. This overview summarizes a collection of 44 updated and new entries in the second edition of The Encyclopedia of Applied Linguistics covering quantitative methods in the field. The topics include the basic concepts in statistics (e.g., variables, parametric, and nonparametric…
Interactive Videos in Multimodal Listening Assessments
The academic success of international students who speak English as a second language (L2) hinges on their ability to effectively communicate and comprehend information in English, which requires well‐developed listening skills. Given that real‐world listening mostly involves processing both auditory and visual information, incorporating multimodal formats into formative assessments can provide a more authentic measure of L2 listening ability. On…
Test‐Taking Processes and Strategies
Test‐taking processes and strategies are considered to be of paramount importance for research on second language (L2) assessment. Without knowing what exactly test takers are doing while answering test items, it is not possible to make valid interpretations of their scores. In particular, understanding what test‐taking strategies and processes are used during language tests can yield valuable insights into how and why test takers arrive at corre…
A scoping review of research on second language test preparation
Test preparation has garnered considerable attention in second language (L2) education due to the significant implications that successful performance on a language test may have for academic advancement, future career opportunities, and immigration prospects. Meanwhile, an overemphasis on test preparation has been criticized for encouraging the cultivation of construct-irrelevant test-taking strategies at the expense of developing general langua…
Ukrainian language proficiency test review
Automatic Speech Recognition
Recent advances in technology and computing have made a profound impact on automatic speech recognition (ASR). With the advent of deep learning and a proliferation of digital devices, interactive ASR‐based systems such as Siri, Cortana, and Alexa have become an integral component of many people's daily lives. The application of ASR technology in applied linguistics has been demonstrated to provide unique affordances for the development of second …
Computer‐Assisted Language Learning Effectiveness Research
Over forty years of research on CALL indicates a strong potential for technology in language learning. Researchers investigate a variety of learning processes and outcomes in view of various learning goals and contextual factors that also come into play in technology use. In addition to comparing technology to teacher‐fronted classrooms, researchers investigate the quality of interactions, acquisition of particular linguistic features, benefits o…
The use of eye tracking in research on video-based second language (L2) listening assessment
Investigating how visuals affect test takers’ performance on video-based L2 listening tests has been the focus of many recent studies. While most existing research has been based on test scores and self-reported verbal data, few studies have examined test takers’ viewing behavior (Ockey, 2007; Wagner, 2007, 2010a). To address this gap, in the present study I employ eye-tracking technology to record the eye movements of 33 test takers during the V…
Automatic Speech Recognition
Automatic speech recognition (ASR) is an independent, machine‐based process of decoding and transcribing oral speech. A typical ASR system receives acoustic input from a speaker through a microphone, analyzes it using some pattern, model, or algorithm, and produces an output, usually in the form of a text (Lai, Karat, & Yankelovich, 2008).
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Automatic Speech Recognition
Automatic speech recognition (ASR) is an independent, machine‐based process of decoding and transcribing oral speech. A typical ASR system receives acoustic input from a speaker through a microphone, analyzes it using some pattern, model, or algorithm, and produces an output, usually in the form of a text (Lai, Karat, & Yankelovich, 2008).
The use of eye tracking in research on video-based second language (L2) listening assessment
Investigating how visuals affect test takers’ performance on video-based L2 listening tests has been the focus of many recent studies. While most existing research has been based on test scores and self-reported verbal data, few studies have examined test takers’ viewing behavior (Ockey, 2007; Wagner, 2007, 2010a). To address this gap, in the present study I employ eye-tracking technology to record the eye movements of 33 test takers during the V…
Computer‐Assisted Language Learning Effectiveness Research
Over forty years of research on CALL indicates a strong potential for technology in language learning. Researchers investigate a variety of learning processes and outcomes in view of various learning goals and contextual factors that also come into play in technology use. In addition to comparing technology to teacher‐fronted classrooms, researchers investigate the quality of interactions, acquisition of particular linguistic features, benefits o…
Automatic Speech Recognition
Recent advances in technology and computing have made a profound impact on automatic speech recognition (ASR). With the advent of deep learning and a proliferation of digital devices, interactive ASR‐based systems such as Siri, Cortana, and Alexa have become an integral component of many people's daily lives. The application of ASR technology in applied linguistics has been demonstrated to provide unique affordances for the development of second …
Ukrainian language proficiency test review
Test‐Taking Processes and Strategies
Test‐taking processes and strategies are considered to be of paramount importance for research on second language (L2) assessment. Without knowing what exactly test takers are doing while answering test items, it is not possible to make valid interpretations of their scores. In particular, understanding what test‐taking strategies and processes are used during language tests can yield valuable insights into how and why test takers arrive at corre…
A scoping review of research on second language test preparation
Test preparation has garnered considerable attention in second language (L2) education due to the significant implications that successful performance on a language test may have for academic advancement, future career opportunities, and immigration prospects. Meanwhile, an overemphasis on test preparation has been criticized for encouraging the cultivation of construct-irrelevant test-taking strategies at the expense of developing general langua…
Quantitative Methods
Quantitative approaches to studying issues in applied linguistics call for an understanding of a wide array of key concepts and selection of relevant statistical techniques. This overview summarizes a collection of 44 updated and new entries in the second edition of The Encyclopedia of Applied Linguistics covering quantitative methods in the field. The topics include the basic concepts in statistics (e.g., variables, parametric, and nonparametric…
Interactive Videos in Multimodal Listening Assessments
The academic success of international students who speak English as a second language (L2) hinges on their ability to effectively communicate and comprehend information in English, which requires well‐developed listening skills. Given that real‐world listening mostly involves processing both auditory and visual information, incorporating multimodal formats into formative assessments can provide a more authentic measure of L2 listening ability. On…
Computer Science (4 works) · EFL/ESL Teaching and Learning (4 works) · Linguistics (4 works) · Psychology (4 works) · Mathematics education (3 works) · Active listening (2 works) · Artificial Intelligence (2 works) · Key (lock) (2 works) · Language assessment (2 works) · Language proficiency (2 works)