BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Validity in Second Language Listening Assessment: Insights from Se
 nsor Technologies - Associate Professor Vahid Aryadoust National Institute
  of Education of Nanyang Technological University\, Singapore
DTSTART:20241021T040000Z
DTEND:20241021T053000Z
UID:TALK223186@talks.cam.ac.uk
CONTACT:Dr. Phung Dao
DESCRIPTION:Listening comprehension is the process of reconstructing and m
 aking sense of auditory messages through literal and inferential processin
 g. Traditionally\, examining the validity of listening comprehension tests
  has relied on psychometric analyses of test data\, verbal reports\, and e
 xpert evaluations of test content\, which have provided valuable insights 
 into validity studies. Recently\, a new trend has emerged in listening ass
 essment that involves gathering evidence through sensor technologies for t
 he purpose of test validation. This approach aims to examine the processes
  and behaviors of test takers under test conditions and\, where feasible\,
  compare them with those observed under non-test conditions. This talk wil
 l explore the application of two sensor technologies—eye-tracking and fu
 nctional near-infrared spectroscopy (fNIRS)— used in our research to exa
 mine the neurophysiological processes and behaviors of test-takers. Specif
 ically\, I will address the concept of validity in listening comprehension
  assessment\, the potential of sensor technologies in enhancing listening 
 assessment\, and how these tools may provide evidence for neurophysiologic
 al validity in language assessment. I will address the limitations of rese
 arch that uses these technologies. Finally\, I will suggest ways in which 
 educational researchers might employ these technologies in their own resea
 rch and how educators might wish to use the results to enhance their teach
 ing and assessment practices. 
LOCATION:Room 1S3 DMB\, Faculty of Education\, University of Cambridge
END:VEVENT
END:VCALENDAR