bioRxivScientific Communication & EducationPreprint
Barriers to Integration of Bioinformatics into Undergraduate Life Sciences Education
Jason J. WilliamsiD, Jennifer C. DrewiD, Sebastian Galindo-GonzaleziD, Srebrenka RobiciD, Elizabeth Dinsdale, William MorganiD, Eric W. TriplettiD, James BurnetteiD, Samuel DonovaniD, Sarah Elgin, Edison R. FowlksiD, Anya L. GoodmaniD, Nealy F. GrandgenettiD, Carlos GolleriD, Charles HauseriD, John R. JungckiD, Jeffrey D. NewmaniD, William PearsoniD, Elizabeth RyderiD, Melissa A. Wilson SayresiD, Michael SierkiD, Todd SmithiD, Rafael Tosado-AcevedoiD, William TapprichiD, Tammy C. TobiniD, , Mark A. PauleyiD
Abstract
Bioinformatics, a discipline that combines aspects of biology, statistics, and computer science, is increasingly important for biological research. However, bioinformatics instruction is rarely integrated into life sciences curricula at the undergraduate level. To understand why, the Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE, \"nibbles\") recently undertook an extensive survey of life sciences faculty in the United States. The survey responses to open-ended questions about barriers to integration were subjected to keyword analysis. The barrier most frequently reported by the ~1,260 respondents was lack of faculty training. Faculty at associates-granting institutions report the least training in bioinformatics and the least integration of bioinformatics into their teaching. Faculty from underrepresented minority groups (URMs) in STEM reported training barriers at a higher rate than others, although the number of URM respondents was small. Interestingly, the cohort of faculty with the most recently awarded PhD degrees reported the most training but were teaching bioinformatics at a lower rate than faculty who earned their degrees in previous decades. Other barriers reported included lack of student interest in bioinformatics; lack of student preparation in mathematics, statistics, and computer science; already overly full curricula; and limited access to resources, including hardware, software, and vetted teaching materials. The results of the survey, the largest to date on bioinformatics education, will guide efforts to further integrate bioinformatics instruction into undergraduate life sciences education.
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