5 Mitacs Globalink (GRI) research projects for Summer 2027.
1. Cross lingual and intralingual language teaching in Quebec
This project aims to examine teachers’ cross-lingual and intralingual pedagogical practices in primary and secondary education. Drawing on current literature on first and target language use, as well as foundational work on cross-lingual and intralingual teaching approaches (Stern, 1992), the study will develop and administer questionnaires to teachers. The objective is to document language use in the classroom, identify the types of instructional activities employed, and analyze teachers’ perspectives on language practices and related pedagogical approaches.
Research area, student roles & skills
Research area: My research interests are in the general area of applied linguistics. I use discourse analysis methodologies such as conversation analysis and corpus linguistics to investigate language use in the language classroom and atypical interactions in the workplace. I am particularly interested in students’ use of French and English in the foreign language classroom in Quebec when they work in small groups. Finally, I investigate VOCA users’ interactions in the workplace with the ANAWC corpus.
Student roles:
Conduct a systematic review of the literature on cross-lingual and intralingual approaches to language teaching, as well as on first and target language use in classroom contexts.
Synthesize findings from the literature to contribute to the development of a conceptual and analytical framework for the project.
Collaborate with the Principal Investigator (PI) to design, refine, and pilot a questionnaire instrument for administration to primary and secondary school teachers.
Contribute to the development of survey items, ensuring clarity, validity, and alignment with the research objectives.
Assist in the preparation and submission of the research ethics application, including drafting required documentation.
Complete training modules on the responsible conduct of research and adhere to established ethical guidelines throughout the project.
Participate actively in regular research team meetings to discuss progress, address challenges, and receive methodological and technical training.
Support participant recruitment and communication with schools and teachers, as appropriate.
Assist in data collection, organization, and management, ensuring data integrity and confidentiality.
Participate in preliminary data analysis (e.g., coding of responses, descriptive statistics, thematic analysis) under the supervision of the PI.
Contribute to the interpretation of findings in relation to the research questions and theoretical framework.
Assist in the preparation of research outputs, including reports, conference presentations, and scholarly publications.
Maintain clear and organized research documentation (e.g., meeting notes, research logs, version control of instruments).
Skills required:
The ideal applicants will have an interest in language teaching or interactions in the secondary classroom. The applicants need to have good organization and time management skills to organize their work. They will need to be able to gather and summarize information from scientific articles. Good communication skills to communicate effectively with the research team and the PI are also important. The work with the data requires good attention to details, analysis and observation skills. Finally, the applicant will need to show integrity and ethical conduct as the project includes human research.
2. English, Employability, and Linguistic Legitimacy in Multilingual Higher Education
This project examines how English is framed as a language of employability, mobility, and professional legitimacy in multilingual higher education. Across many university contexts, English is promoted as a pathway to global opportunity, career readiness, academic success, and institutional competitiveness. However, these discourses may also reproduce unequal assumptions about whose English counts as valuable, professional, or legitimate.
Drawing on critical applied linguistics and educational sociolinguistics, the project analyzes how universities, programs, career materials, and policy documents represent English in relation to employability, internationalization, globalization, and student success. The project will focus on publicly available documents such as university websites, program descriptions, career-readiness materials, language policies, internationalization statements, and related institutional texts. The goal is to understand how English is positioned within higher education and how these representations may shape students’ imagined futures, linguistic identities, and access to professional opportunity.
The intern will contribute to a literature review, help identify and organize relevant documents, assist with qualitative coding, and support discourse analysis of recurring themes and patterns. Possible analytic categories include employability, professionalism, global mobility, language proficiency, communication skills, internationalization, competitiveness, multilingualism, and linguistic legitimacy.
Expected outputs may include a literature review matrix, a small organized corpus of institutional documents, a coded dataset, a short internal research report, and possible contributions to a conference proposal or journal manuscript. The project will provide training in critical applied linguistics, document analysis, discourse analysis, and scholarly writing.
Research area, student roles & skills
Research area: My research is situated in applied linguistics, TESOL, and educational sociolinguistics. I examine how language ideologies shape perceptions of teachers, learners, accents, multilingualism, and professional legitimacy in educational contexts. My work draws on critical approaches to standard language ideology, raciolinguistics, native-speakerism, and the global spread of English. I am especially interested in how English becomes linked to employability, mobility, and institutional value in multilingual higher education.
Student roles:
The intern will work closely with the supervisor on a 12-week research project examining how English is represented as a language of employability and professional legitimacy in multilingual higher education. In the first phase, the intern will read and summarize scholarship on English language ideologies, employability, internationalization, multilingual higher education, language policy, and the global spread of English. They will help create an annotated bibliography or literature review matrix identifying key concepts, methods, and research gaps.
In the second phase, the intern will assist with building a small corpus of publicly available institutional documents. These may include university websites, program descriptions, career-readiness materials, language policy documents, internationalization statements, and other texts that connect English to professional or academic success. The intern will help organize these materials in a spreadsheet with relevant metadata, such as institution type, country/context, document type, key terms, and thematic notes.
In the third phase, the intern will support qualitative coding and discourse analysis. This may include identifying recurring themes such as employability, professionalism, competitiveness, global citizenship, communication skills, proficiency, mobility, multilingualism, and linguistic legitimacy. The intern will participate in regular meetings to discuss emerging patterns and connect findings to the literature.
By the end of the internship, the student is expected to contribute to a literature review matrix, an organized document corpus, preliminary coding notes, and a short research report. Depending on progress, the intern may also contribute to the development of a conference proposal or manuscript outline.
Skills required:
The ideal student will have a background in applied linguistics, TESOL, education, sociolinguistics, communication, sociology, discourse analysis, or a related field. Familiarity with qualitative research, language policy, multilingualism, higher education, or employability research is welcome but not required. The student should have strong academic reading and writing skills in English, careful attention to detail, and an interest in language, inequality, globalization, and education. Experience with spreadsheets, literature review matrices, or qualitative coding tools would be an asset.
3. Investigating response processes underlying the completion of language test items
The overarching purpose of this project is to investigate the response processes that underlie second‑language (L2) learners’ performance on item types commonly used in high‑stakes language proficiency tests (e.g., Duolingo English Test, IELTS, TOEFL iBT). The project comprises several experimental studies that aim to examine cognitive processes, moment‑to‑moment processing, and physiological arousal (test anxiety) as participants complete selected‑response (e.g., multiple‑choice) and constructed‑response (e.g., c‑test, short answer) items. The studies will utilise technologies such as eye tracking to capture visual attention and viewing/reading patterns, electroencephalography (EEG) to measure neural indicators of cognitive load and processing stages, and electrodermal activity (EDA) to index physiological arousal of L2 learners engaged with different item types.
A successful summer intern will play an active role in one of such experimental studies, gaining hands‑on experience across the research lifecycle. Comprehensive training will be provided for all tasks, including participant recruitment, experiment design, setup and use of specialised equipment (i.e., eye-tracker, EEG, and/or EDA sensors), data collection, and data analysis. The position offers mentorship in experimental design, multimodal data integration, and academic communication; interns will also have the opportunity to contribute to conference presentations and/or manuscript drafts based on study results. This position is ideal for candidates interested in language assessment and testing, psycholinguistics, applied linguistics, cognitive neuroscience, or educational measurement seeking practical experience with biometric research methods.
Research area, student roles & skills
Research area: My research focusses on applying biometric research methods such as eye tracking, electrodermal activity (EDA), and electroencephalography (EEG) to investigate response processes (e.g., cognitive processes, test-taking strategies, physiological arousal) underlying performance on second language (L2) assessment tasks that use selected-response formats (e.g., multiple-choice items) and constructed-response formats (e.g., c-test items).
Student roles:
A successful summer intern will actively contribute to all stages of one of the experimental studies. Core responsibilities include conducting targeted literature reviews, assisting with participant recruitment and screening, and collaborating on experiment design and preparation of data collection instruments/materials. In the lab, the intern will set up and operate specialised equipment (e.g., eye‑tracker, EEG, and/or EDA sensors), conduct one-on-one data collection sessions following ethical and safety protocols, and continuously monitor the data collection process to ensure high‑quality data. The intern will also assist with data preprocessing, cleaning, and analysis (e.g., extracting and analysing eye‑movement metrics, EEG event‑related potentials/time‑frequency features, and/or EDA metrics), and contribute to visualisation and interpretation of results.
Successful candidates are detail-oriented, comfortable with hands-on lab work, and motivated to learn and be involved in various aspects of a research study. Interns who demonstrate strong contributions will have opportunities to participate in dissemination activities and may be invited to co-author manuscripts and/or conference presentations based on their role in the project.
Skills required:
- background in linguistics, psychology, cognitive science, neuroscience, educational measurement, or a related field;
- experience with experimental methods and basic statistics––or strong willingness to learn;
- familiarity with eye‑tracking, electroencephalography (EEG), and/or electrodermal activity (EDA) research––or strong willingness to learn;
- familiarity with PsychoPy, R, MATLAB, Python, or related tools––or strong willingness to learn;
- excellent attention to detail, strong interpersonal and organisational skills for lab work and participant handling;
- commitment to ethical research practices;
- prior lab experience and/or interest in language assessment are a plus.
4. More than words: a conversation analytic study of code-switching in the language classroom
This project investigates the development of English language learners’ interactional competence over time. Knowing the proper way of responding to and initiating actions (such as a disagreement) allows language learners and interactants in general to get the response they want from other participants in the interaction. As this interactional competence in the target language is difficult to teach in the classroom, it develops and becomes more adequate over time (Wagner et al., 2018) as learners interact with the language and its speakers. Knowing how language learners do these actions and how they evolve through time is important to better understand language learning and to improve language teaching in general.
In this project, we look at the development of language learners in the classroom over three years. We also look at their development in the native language over the same period of time. This will allow us to make links between the development of the interactional competences in both languages. To do so, we will audio and video record students twice a year during the three first years of their secondary schooling in their English class and in another class taught in their mother tongue. This data will be transcribed and analyzed using conversation analysis procedures.
For this part of the project, we will focus on word searches. They are important actions that are produced frequently by language learners and by native speakers. When a speaker cannot remember or retrieve a word, they initiate a word search. We will investigate how word searches are deployed and how their constructions progress over time in English, the target language and in French, the native language.
Research area, student roles & skills
Research area: My research interests are in the general area of applied linguistics. I use discourse analysis methodologies such as conversation analysis and corpus linguistics to investigate language use in the language classroom and atypical interactions in the workplace. I am particularly interested in students’ use of French and English in the foreign language classroom in Quebec when they work in small groups. I also work with a primary school to help the homeroom teachers incorporate English as a foreign language in their routine to support their students’ learning. Finally, I investigate VOCA users’ interactions in the workplace with the ANAWC corpus.
Student roles:
The students will work with audio and video data recorded in secondary school in an English as a foreign language class and in another class taught in French. The students will work with the data to transcribe and clean it. To do so the students will listen and watch the recordings of the data, choose the extracts that need to be transcribed following the guidelines built for this project and transcribe the data following the transcription conventions they will learn to use with the other members of the team. The students will also clean data that will already have been transcribed to ensure accuracy of the transcripts.
The students will also work on collection building. Following a set of criteria, the students will gather the transcribed data in collections to be ready for analysis. This may include clipping and organizing video extracts and corresponding sound files in order to facilitate analysis. The students will be trained to be able to do some analysis accompanied by other members of the team.
The students will participate in team meetings to discuss their work assignments, the problems and successes they face, and to receive trainings on different aspects of their tasks.
Finally, the students will need to read articles to familiarize themselves with the work that needs to be done and the procedures of conversation analysis. They will also read relevant work on current related research. They may have to write literature reviews related to the work and participate in knowledge dissemination.
Skills required:
The ideal applicants will have an interest in language teaching or interactions in the secondary classroom. The applicants need to have good organization and time management skills to organize their work. They will need to be able to gather and summarize information from scientific articles. Good communication skills to communicate effectively with the research team and the PI are also important. The work with the data requires good attention to details, analysis and observation skills. Finally, the applicant will need to show integrity and ethical conduct as the project includes human research.
5. When AI Listens: Accent Bias and Automated Evaluation in TESOL
This project examines how existing AI systems evaluate accented English speech in TESOL-related contexts. As voice-enabled AI tools increasingly enter education, teacher training, language assessment, and hiring-related decision-making, it is important to understand whether these systems reproduce accent-based bias and standard language ideologies. The project uses a critical applied linguistics framework to analyze how AI systems rate and describe speakers with different English accents when asked to evaluate short teaching-related speech samples.
The intern will contribute to a study that treats AI not as a neutral evaluator, but as a sociotechnical listener whose judgments may reflect broader hierarchies of language, accent, race, and perceived professionalism. The project will involve reviewing relevant literature on accent bias, raciolinguistics, native-speakerism, automated language assessment, and AI bias; helping organize or prepare a small set of standardized speech or transcript-based materials; assisting with the collection of AI-generated ratings and written rationales from existing systems; and supporting qualitative analysis of the language used in AI explanations.
The project does not aim to develop, train, or improve an AI model. Rather, it critically examines existing AI systems as objects of educational and sociolinguistic analysis. Expected outputs may include a literature review matrix, a coded dataset of AI-generated evaluation language, a short internal research report, and possible contributions to a conference proposal or journal manuscript on AI, accent bias, and TESOL teacher evaluation.
Research area, student roles & skills
Research area: My research is situated in applied linguistics, TESOL, and educational sociolinguistics. I examine how language ideologies shape perceptions of teachers, learners, accents, and linguistic legitimacy in English language education. My work draws on critical approaches to standard language ideology, raciolinguistics, native-speakerism, and the global spread of English. I am especially interested in how emerging AI technologies may reproduce or challenge existing inequalities in language teaching, assessment, and teacher evaluation.
Student roles:
The intern will work closely with the supervisor on a 12-week research project examining accent bias and AI-mediated evaluation in TESOL. In the first phase, the intern will read and summarize research on accent bias, standard language ideology, raciolinguistics, native-speakerism, automated language assessment, and AI bias in education. They will help build an annotated bibliography or literature review matrix that identifies key concepts, methods, and gaps in the field.
In the second phase, the intern will assist with preparing research materials, which may include organizing short teaching-related speech samples, transcripts, prompts, and rating forms. The intern will help collect AI-generated ratings and written explanations from existing AI systems using a standardized protocol. No AI model development, training, or programming is required.
In the third phase, the intern will support data organization and qualitative analysis. This may include coding AI-generated rationales for recurring evaluative patterns, such as references to clarity, professionalism, fluency, pronunciation, comprehensibility, confidence, neutrality, or native-like speech. The intern will participate in regular meetings to discuss emerging patterns and connect findings to relevant literature.
By the end of the internship, the student is expected to contribute to a short research report, a cleaned and organized dataset, and possibly an outline for a conference proposal or manuscript. The project will provide training in critical applied linguistics, qualitative analysis, AI and education research, and scholarly writing.
Skills required:
The ideal student will have a background in applied linguistics, TESOL, education, sociolinguistics, communication, discourse analysis, or a related field. Familiarity with qualitative research, literature reviews, language teaching, accent variation, or AI in education is welcome but not required. The student should have strong academic reading and writing skills in English, careful attention to detail, and an interest in issues of language, inequality, technology, and education. Basic organizational skills with spreadsheets or qualitative coding tools would be an asset.