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Lost in Machine Translation: The Promises and Pitfalls of Machine Translation for Multilingual Group Work in Global Health Education

Title: Lost in Machine Translation: The Promises and Pitfalls of Machine Translation for Multilingual Group Work in Global Health Education
Language: English
Authors: David C. Hill (ORCID 0000-0003-0136-890X); Christy Gombay; Otto Sanchez; Bethel Woappi; Andrea S. Romero Vélez; Stuart Davidson; Emma Z. L. Richardson
Source: Discover Education. 2022 1(1).
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 5
Publication Date: 2022
Document Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Descriptors: Translation; Computational Linguistics; Computer Software; Second Languages; Language Processing; Equal Education; Universities; Blended Learning; Partnerships in Education; Institutional Cooperation; International Cooperation; Bilingualism; Tutors; Spanish; Pilot Projects; Consortia; Videoconferencing; English; English (Second Language); Second Language Learning; Multilingualism; Artificial Intelligence; Language of Instruction; Health Education; Inclusion; Foreign Countries; Graduate Students
Geographic Terms: Canada; Colombia
DOI: 10.1007/s44217-022-00004-z
ISSN: 2731-5525
Abstract: The rapid adoption of online technologies to deliver postsecondary education amid the COVID-19 pandemic has highlighted the potential for online learning, as well as important equity gaps to be addressed. For over ten years, McMaster University has delivered graduate global health education through a blended-learning approach. In partnership with universities in the Netherlands, India, Thailand, Norway, Colombia, and Sudan, experts from across the Consortium deliver lectures online to students around the world. In 2020, two courses were piloted with small groups of students from Canada and Colombia using machine translation supported by bilingual tutors. Students met weekly via video conferencing software, speaking in English and Spanish and relying on machine translation software to transcribe and translate for group members. Qualitative semi-structured interviews were conducted with students, tutors, and instructors to explore how artificial intelligence can be harnessed to integrate multilingual group work into course offerings, challenging the dominant use of English as the principal language of instruction in global health education. Findings highlight the potential for machine translation to bridge language divides, while also underscoring several key limitations of currently available technology. Further research is needed to investigate the potential for machine translation in facilitating multilingual online education as a pathway to more equitable and inclusive online learning environments.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1419552
Database: ERIC