View Item 

Show simple item record

Testing the effects of adaptive learning courseware on student performance: An experimental approach
dc.contributor.authorEau, Grace
dc.contributor.authorHoodin, Derek
dc.contributor.authorMusaddiq, Tareena
dc.date.accessioned2022-01-06T15:49:17Z
dc.date.available2023-02-06 10:49:16en
dc.date.available2022-01-06T15:49:17Z
dc.date.issued2022-01
dc.identifier.citationEau, Grace; Hoodin, Derek; Musaddiq, Tareena (2022). "Testing the effects of adaptive learning courseware on student performance: An experimental approach." Southern Economic Journal 88(3): 1086-1118.
dc.identifier.issn0038-4038
dc.identifier.issn2325-8012
dc.identifier.urihttps://hdl.handle.net/2027.42/171168
dc.description.abstractAn increasing number of college and university courses are being offered in an online format. Even for courses offered face‐to‐face, instructors are increasingly turning towards the use of online platforms to help with student learning, especially for courses with high enrollment. This study tests the efficacy of adaptive learning platforms in a sample of undergraduate students at a large urban university, using an experimental design that compares the learning outcomes of students in classrooms that used an adaptive learning tool to those that did not. The results indicate that better performing students, particularly female students, benefit the most from using adaptive learning tools.
dc.publisherJohn Wiley & Sons, Inc.
dc.subject.otheradaptive learning
dc.subject.otherexperimental design
dc.subject.otherundergraduate economics
dc.titleTesting the effects of adaptive learning courseware on student performance: An experimental approach
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelEconomics
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171168/1/soej12547_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/171168/2/soej12547.pdf
dc.identifier.doi10.1002/soej.12547
dc.identifier.sourceSouthern Economic Journal
dc.identifier.citedreferenceMulwa, C., Lawless, S., Sharp, M., Arnedillo‐Sanchez, I. & Wade, V. ( 2010 ) Adaptive educational hypermedia Systems in Technology Enhanced Learning: a literature review. In: Proceedings of the 2010 ACM conference on information technology education SIGITE ‘10. New York, NY, USA: ACM, pp. 73 – 84. https://doi.org/10.1145/1867651.1867672
dc.identifier.citedreferenceFiore, C. ( 1999 ) Awakening the tech bug in girls. Learning and Leading with Technology, 26, 10 – 17.
dc.identifier.citedreferenceForgasz, H.J. & Leder, G.C. ( 2008 ) Beliefs about mathematics and mathematics teaching. In: The handbook of mathematics teacher education, Vol. 1. Rotherdam, Netherlands: Brill Sense, pp. 173 – 192.
dc.identifier.citedreferenceGunn, C., French, S., McLeod, H., McSporran, M. & Conole, G. ( 2002 ) Gender issues in computer‐supported learning. ALT‐J, 10 ( 1 ), 32 – 44.
dc.identifier.citedreferenceJensen, E.J. & Owen, A.L. ( 2001 ) Pedagogy, gender, and interest in economics. The Journal of Economic Education, 32 ( 4 ), 323 – 343.
dc.identifier.citedreferenceJohnson, M. & Meder, M.E. ( 2021 ) A meta‐analysis of technology: interventions in collegiate economics classes. The Journal of Economic Education, 52 ( 1 ), 1 – 16. https://doi.org/10.1080/00220485.2020.1845261
dc.identifier.citedreferenceKulik, J.A. & Fletcher, J.D. ( 2016 ) Effectiveness of intelligent tutoring systems: a meta‐analytic review. Review of Educational Research, 86 ( 1 ), 42 – 78. https://doi.org/10.3102/0034654315581420
dc.identifier.citedreferenceLeder, G.C. & Forgasz, H.J. ( 2006 ) Affect and mathematics education: PME perspectives. In: Handbook of research on the psychology of mathematics education. Rotterdam, Netherlands: Brill Sense, pp. 403 – 427.
dc.identifier.citedreferenceLuik, P. ( 2011 ) Would boys and girls benefit from gender‐specific educational software? British Journal of Educational Technology, 42 ( 1 ), 128 – 144.
dc.identifier.citedreferenceMcEwan, P.J., Rogers, S. & Weerapana, A. ( 2021 ) Grade sensitivity and the economics major at a Women’s college. AEA papers and proceedings, 111, 102 – 106.
dc.identifier.citedreferenceNewman, A., Stokes, P. & Bryant, G. ( 2013 ) Learning to adapt: a case for accelerating adaptive learning in higher education. Boston, MA: Education Growth Advisors.
dc.identifier.citedreferenceOwen, A.L. ( 2010 ) Grades, gender, and encouragement: a regression discontinuity analysis. The Journal of Economic Education, 41 ( 3 ), 217 – 234.
dc.identifier.citedreferencePerry, N.E., Phillips, L. & Hutchinson, L. ( 2006 ) Mentoring student teachers to support self‐regulated learning. Elementary School Journal, 106 ( 3 ), 237 – 254. https://doi.org/10.1086/501485
dc.identifier.citedreferencePintrich, P.R. & Schunk, D.H. ( 2002 ) Motivation in education: theory, research, and applications. New Jersey: Prentice Hall.
dc.identifier.citedreferenceRask, K. & Tiefenthaler, J. ( 2008 ) The role of grade sensitivity in explaining the gender imbalance in undergraduate economics. Economics of Education Review, 27 ( 6 ), 676 – 687.
dc.identifier.citedreferenceSantana, S. J., Paiva, R., Bittencourt, I. I., Ospina, P. E., de Amorim Silva, R., & Isotani S.. 2016. Evaluating the impact of Mars and Venus effect on the use of an adaptive learning Technology for Portuguese and Mathematics. In 2016 IEEE 16th international conference on advanced learning technologies (ICALT), 31 – 35. https://doi.org/10.1109/ICALT.2016.58.
dc.identifier.citedreferenceSosin, K., Blecha, B.J., Agarwal, R., Bartlett, R.L. & Daniel, J.I. ( 2004 ) Efficiency in the use of Technology in Economic Education: some preliminary results. American Economic Review, 94 ( 2 ), 253 – 258. https://doi.org/10.1257/0002828041301623
dc.identifier.citedreferenceWalstad, W.B. & Rebeck, K. ( 2008 ) The test of understanding of college economics. American Economic Review, 98 ( 2 ), 547 – 551.
dc.identifier.citedreferenceWatts, M. & Schaur, G. ( 2011 ) Teaching and assessment methods in undergraduate economics: a fourth National Quinquennial Survey. The Journal of Economic Education, 42 ( 3 ), 294 – 309.
dc.identifier.citedreferenceWinne, P.H. & Perry, N.E. ( 2000 ) Measuring self‐regulated learning. In: Handbook of self‐regulation. San Diego, California: Elsevier, pp. 531 – 566.
dc.identifier.citedreferenceYarnall, L., Means, B. & Wetzel, T. ( 2016 ) Lessons learned from early implementations of adaptive courseware. Menlo Park, CA: SRI Education.
dc.identifier.citedreferenceAllgood, S., Walstad, W.B. & Siegfried, J.J. ( 2015 ) Research on teaching economics to undergraduates. Journal of Economic Literature, 53 ( 2 ), 285 – 325. https://doi.org/10.1257/jel.53.2.285
dc.identifier.citedreferenceAlpert, W.T., Couch, K.A. & Harmon, O.R. ( 2016 ) A randomized assessment of online learning. American Economic Review, 106 ( 5 ), 378 – 382. https://doi.org/10.1257/aer.p20161057
dc.identifier.citedreferenceAnderson, L.W. & Krathwohl, D.R. ( 2001 ) A taxonomy for learning, teaching, and assessing: a revision of Bloom’s taxonomy of educational objectives, Complete edition. New York, NY: Longman.
dc.identifier.citedreferenceArroyo, I., Burleson, W., Tai, M., Muldner, K. & Woolf, B.P. ( 2013 ) Gender differences in the use and benefit of advanced learning Technologies for Mathematics. Journal of Educational Psychology, 105 ( 4 ), 957 – 969. https://doi.org/10.1037/a0032748
dc.identifier.citedreferenceAvilova, T. & Goldin, C. ( 2018 ) What can UWE do for economics? AEA Papers and Proceedings, 108 ( May ), 186 – 190. https://doi.org/10.1257/pandp.20181103
dc.identifier.citedreferenceBaker, R.S.J.D., Corbett, A.T., Roll, I., Koedinger, K.R., Aleven, V., Cocea, M. et al. ( 2013 ) Modeling and studying gaming the system with educational data mining. In: Azevedo, R. & Aleven, V. (Eds.) International handbook of metacognition and learning technologies, Vol. 28. New York, NY: Springer New York, pp. 97 – 115. https://doi.org/10.1007/978-1-4419-5546-3_7
dc.identifier.citedreferenceBaker, R.S., Corbett, A.T., Koedinger, K.R. & Wagner, A.Z. ( 2004 ) Off‐task behavior in the cognitive tutor classroom: when students game the system. In: Proceedings of the SIGCHI conference on human factors in computing systems. New York: ACM, pp. 383 – 390.
dc.identifier.citedreferenceBaker, R., Walonoski, J., Heffernan, N., Roll, I., Corbett, A. & Koedinger, K. ( 2008 ) Why students engage in ‘gaming the system’ behavior in interactive learning environments. Journal of Interactive Learning Research, 19 ( 2 ), 185 – 224.
dc.identifier.citedreferenceBayer, A. & Rouse, C.E. ( 2016 ) Diversity in the economics profession: a new attack on an old problem. Journal of Economic Perspectives, 30 ( 4 ), 221 – 242. https://doi.org/10.1257/jep.30.4.221
dc.identifier.citedreferenceBedard, K., Dodd, J. & Lundberg, S. ( 2021 ) Can positive feedback encourage female and minority undergraduates into economics? AEA papers and proceedings, 111, 128 – 132.
dc.identifier.citedreferenceBettinger, E.P., Fox, L., Loeb, S. & Taylor, E.S. ( 2017 ) Virtual classrooms: how online college courses affect student success. American Economic Review, 107 ( 9 ), 2855 – 2875. https://doi.org/10.1257/aer.20151193
dc.identifier.citedreferenceBloom, B.S., Englehart, M.D., Furst, E.J., Hill, W.H. & Krathwohl, D.R. ( 1956 ) Taxonomy of educational objectives: handbook I cognitive domain. New York, NY: David McKay Company, pp. 144 – 145.
dc.identifier.citedreferenceBosshardt, W. & Chiang, E.P. ( 2016 ) Targeting teaching lecture capture learning: do students perform better compared to face‐to‐face classes? Southern Economic Journal, 82 ( 3 ), 1021 – 1038. https://doi.org/10.1002/soej.12084
dc.identifier.citedreferenceBrusilovsky, P. & Christoph, P. ( 2003 ) Adaptive and intelligent web‐based educational systems. International Journal of Artificial Intelligence in Education (IOS Press), 13 ( 2–4 ), 159 – 172.
dc.identifier.citedreferenceButler, D.L. & Winne, P.H. ( 1995 ) Feedback and self‐regulated learning: a theoretical synthesis. Review of Educational Research, 65 ( 3 ), 245 – 281.
dc.identifier.citedreferenceChen, C.‐M. ( 2008 ) Intelligent web‐based learning system with personalized learning path guidance. Computers & Education, 51 ( 2 ), 787 – 814. https://doi.org/10.1016/j.compedu.2007.08.004
dc.identifier.citedreferenceCosgrove, S.B. & Olitsky, N.H. ( 2015 ) Knowledge retention, student learning, and blended course work: evidence from principles of economics courses. Southern Economic Journal, 82 ( 2 ), 556 – 579. https://doi.org/10.1002/soej.12045
dc.identifier.citedreferenceDi Bitonto, P., Roselli, T., Rossano, V. & Sinatra, M. ( 2013 ) Adaptive e‐learning environments: research dimensions and technological approaches. International Journal of Distance Education Technologies, 11 ( 3 ), 1 – 11. https://doi.org/10.4018/jdet.2013070101
dc.identifier.citedreferenceEmerson, T.L.N., McGoldrick, K.M. & Siegfried, J.J. ( 2018 ) The gender gap in economics degrees: an investigation of the role model and quantitative requirements hypotheses. Southern Economic Journal, 84 ( 3 ), 898 – 911. https://doi.org/10.1002/soej.12247
dc.identifier.citedreferenceEssalmi, F., Ayed, L.J.B., Jemni, M., Kinshuk & Graf, S. ( 2010 ) A fully personalization strategy of E‐learning scenarios. Computers in Human Behavior, Emerging and Scripted Roles in Computer‐supported Collaborative Learning, 26 ( 4 ), 581 – 591. https://doi.org/10.1016/j.chb.2009.12.010
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
soej12547_am.pdf
Size:
1.154MB
Format:
PDF
View/Open
Name:
soej12547.pdf
Size:
4.785MB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.