Graduation Year
2019
Document Type
Thesis
Degree
M.S.
Degree Name
Master of Science (M.S.)
Degree Granting Department
Child and Family Studies
Major Professor
Kimberly Crosland, Ph.D., BCBA-D
Committee Member
Kwang-Sun Cho Blair, Ph.D., BCBA-D
Committee Member
Raymond Miltenberger, Ph.D., BCBA-D
Keywords
video based instruction, math skills, behavioral skills training, Academic performance
Abstract
Research has indicated video-based interventions are successful at teaching skills to individuals with varying types of disabilities. However, there is a gap in the literature regarding video-based intervention, such as video modeling, as an evidence-based practice for academic skills. As technology becomes more and more integrated into U.S. classrooms each year, it is important to evaluate the effectiveness of these interventions. Khan Academy videos are often used as supplemental resources by teachers to assist students with math work. The purposes of this study were to evaluate if in-class viewing of Khan Academy video models would increase math quiz performance for elementary age students with disabilities when used as a supplement to standard teacher instruction, to determine if the use of Khan Academy video models would decrease the total time required to complete a math quiz, and to evaluate the effects of behavioral skills training on math quiz scores in the event that Khan Academy was not effective. Results were evaluated using a non-concurrent multiple baseline across participants design and showed that overall, Khan Academy videos resulted in a slight increase in performance for two participants. The intervention was not effective for the other four. Overall, the duration to complete the quiz did not decrease with the implementation of Khan Academy. All 6 participants required behavioral skills training to increase their performances to mastery levels.
Scholar Commons Citation
Reed, Jacy M., "An Evaluation of Khan Academy Videos as a Supplement to Teacher Instruction for Elementary-Aged Students with Disabilities" (2019). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/7903