I have been working with my advisor Dr. Koen Van Gorp on a program of research related to a year-long TBLT course implementation in China starting from October, 2019 when I was a master student.
We collaborated on the research design, task-based needs analysis, course materials design, and assessment tasks design. I instructed two intact class (42 students each) during the implementation, and collected the data.
With the collaboration of senior cohorts in the SLS program at Michigan State University, we have analyzed student learning outcomes (assessment data), student motivation, the teacher's experience implementing TBLT, and are preparing reports detailing the course development and implementation process. We shared preliminary findings in a colloquium at the TBLT conference in Innsbruck, Austria in 2022, in an invited colloquium at the 2023 AAAL conference and expect to share additional results in different venues soon.
In a recent interview, Dr. Rod Ellis gave this work a shoutout (p. 280).
In a recent interview, Dr. Jane Willis also gave this work a shoutout (p. 185-186).
Currently, some senior cohorts and I are exploring the development of automated speech assessments using artificial intelligence within a task-based language assessment (TBLA) framework. We are in the early stages, brainstorming and experimenting with ideas to evaluate the feasibility and practicality of implementing AI-driven solutions.