Exam statistics are far more than an evaluation of student knowledge and retention. Assessment data provide limitless insights into curricular structure, our performance as instructors, and teaching methods. While there is great utility in reviewing how we can improve our teaching and assessment methods, we are selling ourselves short as professionals if we stop there. The robust statistics that can be extracted from student assessment can also be used for scholarly research projects and to prove our successes in the classroom. This presentation will address the process of utilizing ExamSoft categorization techniques to both harness useful exam statistics and then apply them in data-driven research projects—creating scholarly activities to build a professional portfolio and prepare for promotion and tenure.
Presented by: Dan holds a Master of Science in Technology Enhanced Learning and a Bachelor of Science in Adolescent/Young Adult Education from the University of Dayton. His background as a secondary-level educator drives his research and professional interests, including the appropriate use of summative and formative assessment and how the data they produce can be used to positively impact teaching and learning. Dan currently assists faculty at Oklahoma State University Center for Health Sciences in course design and development, while also introducing new methods of utilizing educational technology in the curriculum to create a learner-centered environment.