A Course Redesign Project

Adaptive Courseware in Biology





Adaptive Courseware, Biology, General Education, Open Education Resources, Course Redesign


In the summer of 2019, a cooperative team of Biology faculty and a principal investigator worked to develop a solid set of aligned student learning outcomes across the sections of first semester (BIOL 1305) and second semester (BIOL 1306) of introductory Biology.  Additionally, the group worked on course objectives alignment within the scope and sequence of the courses, as well as aligned syllabi. A full course redesign was initiated over the summer, where the goal was to align student learning outcomes (SLOs), assessments, and develop a shared set of syllabi for six sections across two courses of introductory biology. 

At UTEP, the overall goal was to integrate adaptive courseware technology tools, open education resources (OER) and active learning strategies within a course redesign in our Learning Management System (LMS), Blackboard, for a number of sections in Biology 1305 and Biology 1306 beginning in the spring of 2020. This is challenging, as much of adaptive courseware technology is not as strong in content as the Biology faculty would like for these classes, although it can help to substantially reduce the costs for students.  The information that follows defines the case study for integrating adaptive courseware within the course redesign process for a series of high enrollment introductory Biology courses


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Author Biography

William H. Robertson, The University of Texas at El Paso

Teacher Education Department, The College of Education


Association of Public and Land-grant Universities (2018). A Guide for Implementing Adaptive Courseware: From Planning Through Scaling, pp. 3.

Davis, B., & Sumara, D. (2014). Complexity and education: Inquiries into learning, teaching, and research. Hoboken: Taylor and Francis. DOI: https://doi.org/10.4324/9780203764015

De Bra, P. (2002). Adaptive educational hypermedia on the web. Communications of the ACM, 45(5), 60-61. doi:10.1145/506218.506247 DOI: https://doi.org/10.1145/506218.506247

Foshee, C. M., Elliott, S. N., & Atkinson, R. K. (2016). Technology-enhanced learning in college mathematics remediation. British Journal of Educational Technology, 47(5), 893-905. doi:10.1111/bjet.12285 DOI: https://doi.org/10.1111/bjet.12285

Ghadirli, H. M., & Rastgarpour, M. 2.,. (2012). A model for an intelligent and adaptive tutor based on web by jackson's learning styles profiler and expert systems, 1. Retrieved from http://0-search.ebscohost.com.lib.utep.edu/login.aspx?direct=true&db=aci&AN=82785137&site=eds-live&scope=site DOI: https://doi.org/10.1142/9789814439084_0019

Koedinger, K. R., & Aleven, V. (2007). Exploring the assistance dilemma in experiments with cognitive tutors. Educational Psychology Review, 19(3), 239. Retrieved from http://0-search.ebscohost.com.lib.utep.edu/login.aspx?direct=true&db=edsjsr&AN=edsjsr.23363951&site=eds-live&scope=site DOI: https://doi.org/10.1007/s10648-007-9049-0

Sosnovsky, S., & Brusilovsky, P. (2015). Evaluation of topic-based adaptation and student modeling in QuizGuide, 25, 371-424. doi:10.1007/s11257-015-9164-4 DOI: https://doi.org/10.1007/s11257-015-9164-4

Ullrich, C., & Melis, E. (2010). Complex course generation adapted to pedagogical scenarios and its evaluation. Journal of Educational Technology & Society, 13(2), 102-115. Retrieved from http://0-search.ebscohost.com.lib.utep.edu/login.aspx?direct=true&db=a9h&AN=52045407&site=eds-live&scope=site

Zhuge, H., & Li, Y. (2006). Learning with an active e-course in the knowledge grid environment. Concurrency & Computation: Practice & Experience, 18(3), 333. Retrieved from http://0-search.ebscohost.com.lib.utep.edu/login.aspx?direct=true&db=edb&AN=19529865&site=eds-live&scope=site DOI: https://doi.org/10.1002/cpe.941




How to Cite

Robertson, W. H. (2021). A Course Redesign Project: Adaptive Courseware in Biology. International Journal for Innovation Education and Research, 9(10), 333–341. https://doi.org/10.31686/ijier.vol9.iss10.3455