22 SES 02 A, Dialogues between Peers through Feedback, Observation and Instruction
This paper evaluates the impact of a teaching methodology aimed at enhancing student learning and self-assessment skills in a large-class flipped learning environment involving a cohort of First Year students in Economics. In Flipped Classroom approaches students and teachers make use of contact time to conduct interactive activities aimed at practicing, discussing, and consolidating the mastery of material previously acquired, mainly outside the classroom, and through computer-based asynchronous individual learning. There is controversy on the definition of what characterises a Flipped Classroom environment, ranging from the identification of activities conducted inside and outside the classroom to the modes of delivery (Bishop and Verleger, 2013). In flipped learning spaces active learning is promoted as fundamental catalyst for success, largely taking the form of problem-based learning, cooperative learning, and collaborative learning. In this context Peer-instruction seems emerging as one of the dominant pedagogies nowadays. Further to Mazur’s (1997) seminal contribution on the role of Peer-instruction in learning, this teaching technique has been widely applied and researched, with particular reference to Physics education (Henderson and Dancy, 2009) and other STEM subjects (Perez et al., 2010). Often aided by the use of interactive technologies, such as Student Response Systems (SRS), Peer-instruction facilitates the creation of an engaging environment for students, and also offers the opportunity to gather useful data to evaluate teaching effectiveness, student opinions, and student learning (Cossgrove and Curran, 2008). Engaging with this literature, our research develops an appraisal of a Flipped Classroom pedagogy devised for the Introductory Economics module at the University of East Anglia, with the aim of evaluating the effectiveness of its SRS-aided Peer-instruction practices. The pedagogy analysed in this paper is based on an algorithm that alternates formative assessment questions, self-assessment questions, and Peer-instruction moments, in a sequence of learning cycles iterated over the duration of each Flipped Classroom session. Thus, using data collected in multiple Flipped Classroom sessions, we develop an analytic framework to investigate four distinct features of the learning process, comprising: (i) students’ ability to self-assess their performance, (ii) the association between learning gains generated by Peer-instruction and student self-assessment statements, (iii) the correlation between learning gains and student attainment, and (iv) students’ perceptions of their learning experience. Blending self-assessment practices with the activities performed during Peer-instruction constitutes the most innovative contribution of our pedagogical design, which, in turn, offers novel insights to educational research on active learning teaching techniques. From a pedagogical perspective, we envisage that enriching collaborative learning with reflective practice displays great potential in stimulating engagement since students self-assess their performance while they are on-task, and are enabled to make better informed use of Peer-instruction time. We also argue (Aricò et al., 2014) that this approach facilitates the development of Academic Self-efficacy beliefs (Bandura, 1977 and 1997, Pajares, 1996, and Chemers et al., 2001), student Self-regulation behaviours (Zimmerman, 2002), as well as Student Motivation (McMillan and Hearn, 2008). Aside from developing an appraisal of the relationship between self-assessment and Peer-instruction, our investigation also addresses the role of Peer-instruction in ‘levelling the playfield’ in the classroom. By comparing the proportion of correct responses to formative assessment questions before and after Peer-instruction, we find that learning gains are significantly higher (after Peer-instruction) when student initial attainment is lower (before Peer-instruction). Finally, our analysis also considers student perceptions of Peer-instruction sessions. We demonstrate that while students are initially resistant to the idea of learning from their peers, they change their opinion as they are exposed to Peer-instruction.
Aricò F.R., and Watson, D., (2014), “Assessing Self-Assessment: another argument for Blended Learning”, paper presented at the Society for Research in Higher Education Annual Conference, Newport, Wales, UK. Aricò F.R., Lane, K., and Thomson, C., (2014), “Does it Click? Assessing the Role of a Student Response Systems in the Formation of Academic Self-Efficacy Beliefs within a Diverse Student Population”, paper presented at the Society for Research in Higher Education Annual Conference, Newport, Wales, UK. Bates, S., and Galloway, R., (2012), “The Inverted Classroom in a Large Enrolment Introductory Physics Course: a Case Study”, Proceedings of the HEA STEM Learning and Teaching Conference, www.journals.heacademy.ac.uk: DOI: 10.11120/stem.hea.2012.067, 10/7/14. Bishop, J. L., and Verleger, M. A., (2013), “The Flipped Classroom: A survey of the research”, Paper presented at the American Society for Engineering Education, Atlanta, GA. Chemers, M. M., Hu, L., and Garcia, B.F., (2001), “Academic Self-efficacy and First Year College Student Performance and Adjustment”, Journal of Educational Psychology, 93,1, 55-64. Cossgrove, K., and Curran, K.L., (2008), “Using Clickers in Nonmajors- and Majors-level Biology Courses: student opinion, learning, and long-term retention of course material”, CHE Life Sciences Education, 7, 146-154. Dunning, D., Johnson, K., Ehrlinger, J., and Kruger, J., (2003), “Why People Fail to Recognise their Own Incompetence”, Current Directions in Psychological Science, 12, 3, 83-87. Henderson, C., and Dancy, M., (2009), “Impact of Physics Education Research on the Teaching of Introductory Quantitative Physics in the United States”, Physics Education Research, 5, 2, 020107-1/9. Henderson, C., Harper, K. A., (2009), “Quiz Corrections: Improving Learning by Encouraging Students to Reflect on their Mistakes”, The Physics Teacher, 47, 9, 581-586. Mazur, E., (1997), “Peer Instruction: A User's Manual”, Prentice Hall, Englewood Cliffs. McMillan, J., and Hearn, J., (2008), “Student Self-Assessment: The Key to Stronger Student Motivation and Higher Achievement”, Educational Horizons, 87, 1, 40-49. Perez K.E., Strauss, E.A., Downey, N., Galbraith, A., Jeanne, R., and Cooper, S., (2010) “Does Displaying the Class Results Affect Student Discussion during Peer Instruction?”, Life Sciences Education, 9, 133-140. Usher, E.L., and Pajares, F., (2007), “Self-Efficacy for Self-Regulated Learning: A Validation Study”, Educational and Psychological Measurement, 68, 3, 443-463. Zimmerman, B.J., (1995), "Self-Efficacy and Educational Development", in: Self-Efficacy in Changing Societies, edited by A. Bandura, Cambridge: Cambridge University Press. Zimmerman, B.J., (2002), “Becoming a Self-regulated Learner: An overview”, Theory Into Practice, 41, 64-70.
- Search for keywords and phrases in "Text Search"
- Restrict in which part of the abstracts to search in "Where to search"
- Search for authors and in the respective field.
- For planning your conference attendance you may want to use the conference app, which will be issued some weeks before the conference
- If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.