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EDU 553 Technology Assisted Language Learning and Assessment: Reading list

Module

EDU 553 Technology Assisted Language Learning and Assessment


Department: Master of Education

Module Description: This module examines the role of digital technologies and AI in language learning, teaching, and assessment. It explores theoretical frameworks and practical applications of technology-assisted language learning, including computer-assisted language learning (CALL), mobile learning, gamification, and online collaborative tools. Students will critically engage with current research and evaluate the effectiveness of various digital tools and platforms in enhancing language acquisition and learner autonomy. The module also investigates the use of technology in language assessment, addressing issues such as validity, reliability, and ethical considerations in digital testing environments.


Module texts

  • Zou, B., Thomas, M., Barr, D., & Jia, W. (Eds.). (2022). Emerging concepts in technology-enhanced language teaching and learning. IGI-Global.

  • McCallum, L., & Tafazoli, D. (Eds.). (2024). Computer-Assisted Language Learning in the Global South: Exploring Challenges and Opportunities for Students and Teachers. Taylor & Francis.

  • Sadeghi, K. (Ed.). (2022). Technology-assisted language assessment in diverse contexts: Lessons from the transition to online testing during COVID-19. Taylor & Francis.

Recommended readings

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