The purpose of this study was to identify if a functional relationship exists between a treatment combination of interview practice in a mixed-reality learning modality (TLE TeachLivETM) and the use of individualized coaching sessions on the interview performance of young adults with intellectual disabilities (ID). Student participants took part in live preinterviews with the University of Central Florida (UCF) Office of Career Services measuring their current levels of employment interview performance. Student participants then engaged in interviews with avatars in the TLE TeachLivETM lab. After each treatment interview in the lab, student participants received individualized coaching sessions to assist them in improving their interview performance. Interview performance was rated in order to determine if the combination of interview practice and coaching increased student participant performance as measured on an interview rubric. Finally, student participants participated in live post-interviews with Office of Career Services to determine if the two-step instructional training intervention resulted in the improvement of interview performance in a natural, live setting. In addition, student participants, parents/primary caregivers, and an employee expert panel participated in a survey rating the goals, procedures, and outcomes of the study. Results indicated that the combination of interview practice in the TLE TeachLivETM setting and coaching was associated with immediate gains in the interview performance of student participants. Student participant performance also improved in live interview settings. Social validity data indicated that using this combination intervention was both valuable and appropriate in preparing individuals with ID for employment interviews.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-3248 |
| Date | 01 January 2012 |
| Creators | Walker, Zachary M |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
Page generated in 0.0017 seconds