Peer instruction in computer science at small liberal arts colleges
Porter L.; Garcia S.; Glick J.; Matusiewicz A.; Taylor C.
2013
Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
21
10.1145/2462476.2465587
Peer Instruction (PI) has been shown to be successful at improving pass-rates and improving retention of majors in large classes at large research-intensive institutions. At these institutions, students have been shown to learn from peer discussion in PI and both students and faculty have reported that they value PI in their classrooms. However, little is known about the effectiveness of PI in small classrooms at teaching-focused liberal arts colleges. This study evaluates results from seven lower-division classes and four upper-division classes taught at three different liberal arts institutions using PI. In these classes, PI experienced similar success as that reported at large-research intensive universities, both in terms of student learning from peer discussion and from student attitudinal surveys. Most notably, of 137 surveyed students, 91% recommend more faculty use PI in their classes. Copyright 2013 ACM.
Active learning; Liberal arts colleges; Peer instruction
Crouch C.H., Mazur E., Peer instruction: Ten years of experience and results, American Journal of Physics, 69, pp. 970-977, (2001); Crouch C.H., Watkins J., Fagen A.P., Mazur E., Peer instruction: Engaging students one-on-one, all at once, Research-Based Reform of University Physics, (2007); Cutts Q., Esper S., Fecho M., Foster S.R., Simon B., The abstraction transition taxonomy: Developing desired learning outcomes through the lens of situated cognition, Proc. of ICER '12, (2012); Cutts Q., Esper S., Simon B., Computing as the 4th r: A general education approach to computing education, Proc. of ICER '11, pp. 133-138, (2011); Forte A., Guzdial M., Motivation and nonmajors in computer science: Identifying discrete audiences for introductory courses, Education, 48, 2, pp. 248-253, (2005); Hake R., Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses, American Journal of Physics, 66, (1998); Lasry N., Mazur E., Watkins J., Peer instruction: From harvard to the two-year college, American Journal of Physics, 76, pp. 1066-1069, (2008); Martyn M., Clickers in the classroom: An active learning approach, EDUCAUSE Quarterly, 30, 2, pp. 71-74, (2007); McDowell C., Werner L., Bullock H., Fernald J., Pair programming improves student retention, confidence, and program quality, Communications of the ACM, 49, 8, pp. 90-95, (2006); Porter L., Bailey-Lee C., Simon B., Halving fail rates using peer instruction: A study of four computer science courses, Proc. of the 44th SIGCSE, (2013); Porter L., Bailey Lee C., Simon B., Cutts Q., Zingaro D., Experience report: A multi-classroom report on the value of peer instruction, Proc. of ITiCSE '11, (2011); Porter L., Bailey-Lee C., Simon B., Zingaro D., Peer instruction: Do students really learn from peer discussion in computing?, Proc. of ICER '11, (2011); Porter L., Simon B., Retaining nearly one-third more majors with a trio of instructional best practices in cs1, Proc. of the 44th SIGCSE, (2013); Simon B., Peer Instruction for Computer Science, (2012); Simon B., Kohanfars M., Lee J., Tamayo K., Cutts Q., Experience report: Peer instruction in introductory computing, Proc. of the 41st SIGCSE, pp. 341-345, (2010); Smith M.K., Wood W.B., Adams W.K., Wieman C., Knight J.K., Guild N., Su T.T., Why peer discussion improves student performance on in-class concept questions, Science, 323, pp. 122-124, (2009); Spacco J., Parris J., Simon B., How we teach impacts learning: Peer instruction vs. lecture in cs0, Proc. of the 44th SIGCSE, (2013); Zingaro D., Experience report: Peer instruction in remedial computer science, Proc. of Ed-Media 2010, (2010); Zingaro D., Lee C., Porter L., Peer instruction in computing: The role of reading quizzes, Proc. of the 44th SIGCSE, (2013)
Conference paper
Scopus