Friday, November 8, 2013

How do you measure students’ social-emotional factors? - Part II

I am continuing to explore different measures of social-emotional factors in an attempt to provide SFUSD with as much information as possible in preparation from their development of the School Quality Improvement System involving measures of non-cognitive factors.

As I explored this topic further, and talked to a number of Stanford researchers in SFUSD focused on this study, Carissa Romero from PERTS (part of Stanford’s Psychology Department) pointed out the University of Chicago Consortium on Chicago Schools Research’s (CCSR) literature review titled, “Teaching Adolescents to Become Learners: The Role of Non-cognitive Factors in Shaping School Performance, A Critical Literature Review.”[1]  Published in June 2012, this report provides some helpful insights into what types of non-cognitive measures could be helpful for purposes of accountability.

One of the more helpful sets of findings from the report is where the CCSR authors outline in a table how each of the different non-cognitive factors relates to academic behaviors based on the findings from their literature review. Interestingly, non-cognitive factors like academic behaviors, academic mindsets, and learning strategies seem to have stronger relationships to academic behaviors than academic perseverance and social skills. Also, when exploring the malleability of these factors, academic perseverance, as defined as grit, is fairly stable as a characteristic in a person, but perseverance in academics is positively associated with positive academic mindsets. They suggest that, “The apparent success of many of the mindset interventions suggests that mindsets are malleable” and can be changed intentionally.[2] The tables also describe the role of classroom context in these factors, the clear strategies related to the factors, and whether changing this non-cognitive factor would narrow the achievement gap.

In the latter table, there is little research on whether changing a student’s academic behaviors, academic perseverance, learning strategies, and social skills could be factors in narrowing the achievement gap.  However, a number of interventions targeting mindsets have been shown to reduce gender and racial/ethnic achievement gaps.

What does this mean for the non-cognitive measures in the School Quality Improvement System being developed to support SFUSD’s and other California districts’ federal waiver? I might suggest paying close attention to the nature of the non-cognitive factors and whether measuring them helps SFUSD and the other districts measure the goals they want to achieve.  For example, if grit is not a malleable non-cognitive factor, then how can schools get better at developing grit in their students, and consequently, why bother measuring it?  On the other hand, if mindsets are a malleable non-cognitive factor, then schools can get better at developing certain types of mindsets in their students and hopefully the measure will give them an indication of whether they are successful in developing their students positive mindsets.

In general, the CCSR literature review by Farrington, et al. (2012) is worth exploring as SFUSD and these other California districts select the non-cognitive measures to be part of their School Quality Improvement System.



[1] Farrington, C.A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes, T.S., Johnson, D.W., & Beechum, N.O. (2012). Teaching adolescents to become learners. The role of noncognitive factors in shaping school performance: A critical literature review. Chicago: University of Chicago Consortium on Chicago School Research.
[2] Farrington, et al. (2012), p. 78.

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