{"title":"Unique Potential and Challenges of Students with ADHD in Engineering Programs","authors":"A. Zaghi, S. Reis, Joseph S. Renzulli, J. Kaufman","doi":"10.18260/p.27107","DOIUrl":"https://doi.org/10.18260/p.27107","url":null,"abstract":"A critical need exists in engineering education to draw on the non-traditional divergent thinking and risk-taking necessary for making radical technological breakthroughs. Literature suggests that individuals with Attention Deficit Hyperactivity Disorder (ADHD) characteristics demonstrate unparalleled creativity and risk-taking potential. While this group of students may offer significant benefits to the advancement of the nation, they are currently significantly underrepresented in engineering programs because of the major academic and emotional challenges that the rigidly structured engineering programs impose on them. Funded by the Division of Engineering Education and Centers of the National Science Foundation, this study is aimed at understanding creative potential and challenges of engineering students with ADHD characteristics. A cohort of 18 female and 36 male undergraduate students were recruited from the School of Engineering at the University of Connecticut ( n =54). To quantify the level of ADHD-related characteristics and the creative potential of the participants, the investigators administered Brown ADD Scales for Adults and Torrance Test of Creative Thinking (TTCT) Figural Form A, respectively. A 40-question instrument was designed and administered to understand the learning styles, the perception of current engineering programs in terms of rewarding creativity and risk-taking, and the difficulties of the participants in engineering programs. It was found that there is a statistically significant positive correlation between the Brown total score and the Creativity Index ( r =.45, p=.001). Among Brown subscale scores, attention was found to have the largest correlation with the Creativity Index. There were positive significant correlations with the Creativity Index and all of the Brown subscales except for memory . The Brown scores were found to have positive significant correlations with three of the TTCT sub-categories; fluency, originality","PeriodicalId":436145,"journal":{"name":"2016 ASEE Annual Conference & Exposition Proceedings","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134437298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}