Development, validation and application of the Microbiology Concept Inventory

dc.contributor.authorPaustian, T. D.en
dc.contributor.authorBriggs, A. G.en
dc.contributor.authorBrennan, R. E.en
dc.contributor.authorBoury, N.en
dc.contributor.authorBuchner, J.en
dc.contributor.authorHarris, S.en
dc.contributor.authorHorak, R. E. A.en
dc.contributor.authorHughes, Lee E.en
dc.contributor.authorKatz Amburn, D. Sueen
dc.contributor.authorMassimelli, M. J.en
dc.contributor.authorMcDonald, A. H.en
dc.contributor.authorPrimm, T. P.en
dc.contributor.authorSmith, A. C.en
dc.contributor.authorStevens, Ann M.en
dc.contributor.authorYung, S. B.en
dc.contributor.departmentBiological Sciencesen
dc.contributor.departmentFralin Life Sciences Instituteen
dc.date.accessioned2018-02-09T18:59:01Zen
dc.date.available2018-02-09T18:59:01Zen
dc.date.issued2017-10en
dc.description.abstractIf we are to teach effectively, tools are needed to measure student learning. A widely used method for quickly measuring student understanding of core concepts in a discipline is the concept inventory (CI). Using the American Society for Microbiology Curriculum Guidelines (ASMCG) for microbiology, faculty from 11 academic institutions created and validated a new microbiology concept inventory (MCI). The MCI was developed in three phases. In phase one, learning outcomes and fundamental statements from the ASMCG were used to create T/F questions coupled with open responses. In phase two, the 743 responses to MCI 1.0 were examined to find the most common misconceptions, which were used to create distractors for multiple-choice questions. MCI 2.0 was then administered to 1,043 students. The responses of these students were used to create MCI 3.0, a 23-question CI that measures students’ understanding of all 27 fundamental statements. MCI 3.0 was found to be reliable, with a Cronbach’s alpha score of 0.705 and Ferguson’s delta of 0.97. Test item analysis demonstrated good validity and discriminatory power as judged by item difficulty, item discrimination, and point-biserial correlation coefficient. Comparison of pre- and posttest scores showed that microbiology students at 10 institutions showed an increase in understanding of concepts after instruction, except for questions probing metabolism (average normalized learning gain was 0.15). The MCI will enable quantitative analysis of student learning gains in understanding microbiology, help to identify misconceptions, and point toward areas where efforts should be made to develop teaching approaches to overcome them.en
dc.description.notesfalse (Extension publication?)en
dc.description.versionPublished versionen
dc.identifier.doihttps://doi.org/10.1128/jmbe.v18i3.1320en
dc.identifier.issue3en
dc.identifier.urihttp://hdl.handle.net/10919/82051en
dc.identifier.volume18en
dc.publisherAmerican Society for Microbiologyen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.titleDevelopment, validation and application of the Microbiology Concept Inventoryen
dc.title.serialJournal of Microbiology and Biology Educationen
dc.typeArticle - Refereeden
dc.type.otherArticleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/Biological Sciencesen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Fralin Affiliated Facultyen

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