Sunday 6 October 2019

student perceptions of active learning (3)

Before I discuss this paper, let me make it clear that I think the balance between lecture and active learning is completely dependent upon the class context. This is not an either/or situation. Teaching involves careful consideration of what our students need to learn and how to best support their learning efforts. Sometimes this will involve telling students something to clear up a misconception. Sometimes this will involve having our students apply or discuss their learning in order to make their learning stick by having them realize that they have not yet deeply learned a concept. I liken the situation to tuning the dial of a radio tuner.


Thus, whenever someone asks me how much active learning they should introduce into their classroom I answer: it depends. It depends upon the student cohort (their experiences and preparation), the year level of the course, the discipline of the course, whether the course is heavy on learning theory, or producing an assignment, what the learning culture is of the particular campus on which you find yourself teaching. All of these things will influence the right balance of lecturing and active learning that happens in your class. What I can say is that if only one is happening in class, then likely not enough of the other is occurring.

Having said that, I really liked this paper (Deslauriers et al 2019). It seems to me to be a well-controlled and thoughtful paper. The authors used a randomized, cross-over design to determine whether students' feeling of learning (FOL) correlate with their actual learning (as assessed with a test of learning - TOL) in an intro physics course taught with active learning vs lecture.

The results clearly indicate that students' FOL was greater when lecture was used whereas their TOL was greater in the active learning environment. This agrees with the Dunning-Kruger effect which suggests that novices have poor metacognition with which to assess their own learning. Their results also agree with other published results which show that students do not appreciate active learning (van Sickle 2016; Smith et al 2011) despite active learning producing better learning outcomes (Freeman et al 2014).

The FOL survey used in this study allowed the authors to also consider the impact of lecture fluency and they found that FOL was positively impacted by fluency. The literature suggests that fluency can inflate students' perceptions of learning as cited in Deslauriers et al (2019).

In a good mixed-methods design, the researchers followed up a subset of the participating students with interviews and they found that students' perceptions of learning were negatively impacted by the struggle required with active learning. When it was pointed out to them that studies show that cognitive effort positively impacts learning, students suggested that knowledge would influence their perception of learning in active learning courses.

So what is impacting the disconnect among novice students' perceptions of their own learning? As suggested above, one is that novices do not have well-developed metacognition. They have difficulties recognizing good judgement and, as a result, have difficulties judging their own learning. In addition, lecture fluency can mislead students into thinking they have learned something when in fact they have not. Finally, students unfamiliar with the cognitive effort required for active learning may resent the effort required to master a body of knowledge.

This resonates with my own teaching experience. Before I implemented active learning in my own classrooms a number of years ago, I was perplexed when students informed me of their frustration with their own learning because I explained things so well in class that they thought they understood what I was teaching but that perception did not translate into good exam performance. It was that student feedback that compelled me to look for other ways of teaching that would make it explicit to students what they did and did not know, what they had and had not learned. Team-based learning is the active learning structure I have implemented in my courses and it works well by hitting a number of the known factors by which active learning promotes student learning (Ambrose et al 2010; Brown et al 2014; Mazur 2009): pre-class preparation, attempting new problems in class, interacting with peers to practice their understanding of what they have learned. What these strategies do is make apparent to students what they do and do not know thereby enabling them to follow up and address the points of misunderstanding they have. In addition, being able to teach each other is a powerful way to cement their learning and create a robust knowledge structure and mental model of what they are learning that integrates with their existing understanding of their world.

So what are we to do to help students accept and embrace active learning despite the cognitive effort required with this teaching strategy? The authors conclude their paper by reporting on the results of an intervention they ran after receiving their study results. They spent time at the beginning of a subsequent term to show students the results of the research and explain how cognitive effort leads to increased learning. This was a 20-minute presentation of the results of the impact of active learning on learning gains and the influence of fluency on perceptions of learning. The researchers observed that students in the Q&A following the presentation were most interested in the idea that FOL and fluency can mislead their judgement about how their learning is progressing. A student survey showed that most students had a more favourable view of active learning as a result of the initial intervention.

These results agree with the earlier Finelli et al (2018) study that suggested that how instructors prepare students for active learning (explain why they are using a particular active learning strategy) goes a long way to mitigate students' resistance to active learning. More significantly in my mind is that the same Finelli study found that how instructors facilitated an active learning activity played a more important role in students response to active learning: being engaged with students during the activity promoted students' perceptions that active learning was enabling their learning.

Please notice, that as I stated above, in both the Finelli and Deslauriers papers it is not that lecturing is completely absent. Read carefully their papers and you will read that they note that mini-lectures were used as necessary. Similar to how I opened this blog post, it is not that lecturing is bad. It is that the injudicious use of lecture is bad. But of course, this can also be applied to active learning. Active learning will not fix bad teaching. Good teachers will be judicious about their use of lecture and active learning and implement either as the context dictates. Having students engaged in active learning for the sake of active learning is not the lesson here. The lesson here is that good instructors will implement lecturing and active learning as required by the particular context and that this will change from year to year, cohort to cohort, class to class, minute to minute.

This is what makes teaching such an interesting challenge as we support our students' learning efforts.

Resources

Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., Norman, M. K., & Mayer, R. E. (2010). How learning works: Seven research-based principles for smart teaching (1st ed.). San Francisco, CA: Jossey-Bass.

Brown, P. C., McDaniel, M. A., & Roediger, H. L. (2014). Make it stick: The science of successful learning. Cambridge, Massachusetts: Harvard University Press.

Deslauriers, L., McCarty, L. S., Miller, K., Callaghan, K., & Kestin, G. (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proceedings of the National Academy of Sciences, 201821936.

Finelli, B. C. J., Nguyen, K., Demonbrun, M., Borrego, M., Prince, M., Husman, J., … Waters, C. K. (2018). Reducing student resistance to active learning: Strategies for instructors. Journal of College Science Teaching, 47(5), 80–91. A PDF of this paper is available from Harvard here.

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences of the United States of America, 111(23), 8410–8415.

Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality & Social Psychology, 77(6), 1121–1134.

Mazur, E. (2009). Farewell, Lecture? Science, 323(5910), 50–51.

Smith, C. V, & Cardaciotto, L. (2011). Is active learning like broccoli? Student perceptions of active learning in large lecture classes. Journal of the Scholarship of Teaching & Learning, 11(1), 53–61.

Van Sickle, J. R. (2016). Discrepancies between student perception and achievement of learning outcomes in a flipped classroom. Journal of the Scholarship of Teaching and Learning, 16(2), 29–38.

Tuesday 1 October 2019

student perceptions of active learning (2)

This study (Smith & Cardaciotto, 2011) is similar to the more recent study published by Jenna Van Sickle. Both studies report positive student outcomes with active learning but that students rated the active experience as less positive than the more passive learning experience. So it is interesting that although there is ample evidence to suggest that active learning is good for students, students do not appreciate the experience. The authors liken this to telling children to eat their broccoli because it is good for them.

The Van Sickle study considered a math course whereas the Smith & Cardaciotto broccoli study considered introductory psychology. Smith & Cardaciotto state at the end that active learning activities need to be embedded in sound pedagogy and not simply involve students “doing” something. I am not sure why they tacked this on at the end of their paper as their study design did not address this at all. It is an important consideration, but their study design has nothing to say about this.

A limitation of this study in terms of it being integrated with other active learning studies is that the authors interpreted active learning as any activity that engaged the students cognitively. Thus, their active learning activities were done outside of class rather than the more typical understanding that active learning involves transforming what happens in the traditional didactic lecture - the activities happen inside of the classroom. They make the comparison that what they are doing is similar to the sciences which have a didactic lecture associated with an active lab or tutorial. What is interesting is that most of the published research suggests that active learning in science classes regardless of an active lab or tutorial will promote student learning outcomes. This broccoli study is odd this way thinking that active learning outside of class will do the trick. And even their two-course modules on brain and behaviour showed no differences between the content review and the active learning conditions which they suggest is because those course sections use more active learning during class meetings.

Another limitation is that they did not specifically consider student learning outcomes but rather only student perceptions of their own learning. They acknowledge this and request that subsequent studies specifically consider student learning outcomes as exam or grade results. They cite literature that indicates that students self-reports of learning correlates with actual learning outcomes and so can indicate an impact on student learning. But still, this study did not specifically study this. The reason they give is that the different instructors administered different exams and thus were not comparable.

What I find odd is that the authors make the assumption that students can accurately assess their learning and thus student perception surveys can indicate student learning outcomes to some extent though they do explain that this needs to be studied directly. The reason that I find this odd is that although the authors cite a study indicating the reliability of student perception reports of their learning, the Dunning-Kruger effect suggests that weak students over-estimate their learning whereas good students under-estimate their learning. So it does not suggest that student self-reports are reliable measures of their own learning.

More recent students (e.g. Finelli et al, 2018) suggest that the manner in which instructors explain and facilitate the learning activities in their classroom can go a long way to mitigate students' resistance to learning

Resources

Finelli, B. C. J., Nguyen, K., Demonbrun, M., Borrego, M., Prince, M., Husman, J., … Waters, C. K. (2018). Reducing student resistance to active learning: Strategies for instructors. Journal of College Science Teaching, 47(5), 80–91.

Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of Personality & Social Psychology, 77(6), 1121–1134. https://doi.org/10.1037//0022-3514.77.6.1121

Smith, C. V, & Cardaciotto, L. (2011). Is active learning like broccoli? Student perceptions of active learning in large lecture classes. Journal of the Scholarship of Teaching & Learning, 11(1), 53–61. Retrieved from https://josotl.indiana.edu/article/view/1808/1805

Van Sickle, J. R. (2016). Discrepancies between student perception and achievement of learning outcomes in a flipped classroom. Journal of the Scholarship of Teaching and Learning, 16(2), 29–38. https://doi.org/10.14434/josotl.v16i2.19216

Wieman, C. E. (2014). Large-scale comparison of science teaching methods sends clear message. Proceedings of the National Academy of Sciences of the United States of America, 111(23), 8319–8320. https://doi.org/10.1073/pnas.1407304111