Friday, June 17, 2016

Beginning at the Beginning



Educators are optimistic folks.  We have to be, as we rarely know how our charges ever turn out, whether we made much of a difference one way or the other.  I teach college, used to teach high school.  I don’t know how elementary school teachers feel about it, but their distance is even greater.  We have to believe we are doing some good, that students learn, that their lives will generally work out in the end, and perhaps we played some small part in that.

Sometimes our judgments are flawed in the other direction.  My son had a tough time in grade school, even after his ADD diagnosis.  When my wife, who taught in the same district for over thirty years, chances to meet one of his former grade school teachers, they tend to furrow their brow and ask sympathetically how he’s doing.  They are astonished to learn that he finished college in four years at the most exclusive University of Minnesota campus (everything’s relative) and ten years later is a senior developer for a large financial software company based in Kansas, making considerably more than his old man. 

He blossomed in junior high, and in high school was drawn to an English teacher, a former seminarian who applied Greek and Latin to the language of literature in a compelling way.  He started to push me, reading my dusty, unread copies of Tom Jones and War and Peace before I had gotten around to them.

Who’d a thunk?

But look at the advantages he started with.  Both my wife and I were college educated, had stacks of books around the house, read to the kids from the time they could sit up, talked to and with them frequently, took them places of “culture,” enrolled them in organized (there was hardly any other kind!) activities like scouting and sports, encouraged their predilections (Dan, origami; Amy, art), and suffered little privation.  All of which is typical for a middle class family, according to the researchers Betty Hart and Todd Risley in Meaningful Differences in the Everyday Experience of Young American Children, and Annette Lareau in Unequal Childhoods: Class, Race, and Family Life.  They detail the ways in which middle class life is different from life in lower rungs of the SES ladder:

            In this historical moment, middle-class parents tend to adopt a cultural logic of child rearing that stresses the concerted cultivation of children.  Working-class and poor parents, by contrast, tend to undertake the accomplishment of natural growth.  In the accomplishment of natural growth, children experience long stretches of leisure time, child-initiated play, clear boundaries between adults and children, and daily interactions with kin.  Working-class and poor children, despite tremendous economic strain, often have more “childlike” lives, with autonomy from adults and control over their extended leisure time.  Although middle-class children miss out on kin relationships and leisure time, they appear to (at least potentially) gain important institutional advantages.  From the experience of concerted cultivation, they acquire skills that could be valuable in the future when they enter the world of work.  Middle-class white and Black children in my study did exhibit some key differences; yet the biggest gaps were not within social classes but, as I show, across them.  It is these class differences and how they are enacted in family life and child rearing that shape the ways children view themselves in relation to the rest of the world. (Lareau, 2011, 3,4)

Verbal interaction differs greatly between middle, and working-class and poor families.  This verbal behavior can make a difference in a number of later academic areas, particularly reading.  First, though, Hart and Ridley discuss the differences between the children in two different home lives, working-class and poor in the first case (Turner House) and professional (college professors):

Parent talk defines and labels what children should notice and think about the world, their family, and themselves and suggests how interesting and important various objects, events, and relationships are.  Words and sentences, internalized as symbols, become a means for organizing experience and rationalizing and relating it, as well as the basis for logical thinking, problem solving, and self-control.  The words and expressions that give nuance and preciseness to talk [and, eventually, writing] to other people also serve when talking to oneself as thinking (p. 100).

 What does the language “experience” differential look like? 

In a 5,200-hour year, the amount [of words of “language experience”] would be 11 million words for a child in a professional family, 6 million words for a child in a working-class family, and 3 million words for a child in a welfare family.  In 4 years of such experience, an average child in a professional family would have accumulated experience with almost 45 million words, an average child in a working-class family would have accumulated experience with 26 million words, and an average child in a welfare family would have accumulated experience with 13 million words (p. 199).

This talk differential leads to a vocabulary differential:

For the Turner House children, the rate of adding words to the dictionary in daily use was markedly slower than the rate at which the professors’ children were adding words…Projecting the developmental trajectories of the growth curves into the future, we could see an ever-widening gap between the vocabulary resources the Turner House children and the professors’ children would bring to school.  This seemed to predict the reality of the findings of school research:  that in high school many children from families in poverty lack the vocabulary used in more advanced textbooks (p. 10, 11).

Hart and Risley soberly assess the mountain educators and families have to climb to narrow the divide:

we saw that by the age of 4, when the children had become competent users of the syntax and pragmatic function of their language, patterns of vocabulary growth were already established and intractable (emphasis added) (p. 16).

Just to provide an average welfare child with an amount of weekly language experience equal to that of an average working class child would require 41 hours per week of out-of-home experience as rich in words addressed to the child as that in an average professional home (p. 201).

We teachers know such disadvantages can be overcome.  I’ve taught the excerpt from The Autobiography of Malcolm X where he describes his ignorance of words and his copying pages from the dictionary he was allowed to have in prison.  So we know it can be done.  How many are motivated to do so, and what is the hook?  Will only the extraordinary bite?  I think we all know that the answer is “of course.”
The most cogent article Paul Tough has written about education is not about grit but about the need for parents of all SES levels to own responsibility for the intellectual growth of their children, because that seems to be the closest thing we have to an answer (Tough, 2016).  Many, of course, need to learn what to do, and I suspect many won’t be able to do what is necessary.  We aren’t even considering the potentially high handed paternalism this implies.  In any case, as Laureau has describe, the financial pressures on working class and poor families make such a change unlikely.  Until we stop blaming schools for outcome disparities and talk seriously about the inequities inherent in capitalism as practiced in the United States, our efforts at real solutions will be misdirected.  I think, frankly, that this is intentional, since the monied class seems to control the political debate these days, and we certainly don’t want to seriously question the merits of unrestrained capitalism.
Consequently, our efforts to intervene in the lives of our students will have success only at the margin.  The conclusion I draw from the multiplicity of studies is that there is no silver bullet, that we aren’t really sure what to do to increase graduation and transfer rates, so we are willing to try all sorts of things. We are going to have to come to grips with the facts of the matter soon, because the coffers to support interventions are bleeding cash and patience is wearing thin, which is behind the misguided appeal to business efficiency to save the day.
That doesn’t mean we give up trying to be the best teachers we can be, or that we stop helping students who want our help.  That is the social contract we signed when we first walked into a classroom.  But the hand-wringing should stop.  The coercion should stop:  programs like Achieving the Dream and NYC’s ASAP focus only on full-time students, which is a distinct minority in community college.  It may be true that full-timers are more likely to graduate or transfer to a four-year school, but limiting our notion of student success to those two outcomes  is short-sighted and more appropriate for four-year colleges.  Wild and Ebbers have the best advice yet for getting perspective on community college retention: focus first on identifying each individual student’s goal and their persistence toward achieving it.  It may be that students are in school just to try it out, to see if it’s something they can do.  It may be that a few classes are all they need to get the better job they seek.  It may simply be that they are curious about something and that’s it.  They tell us they want an A.A., or a certificate, or to transfer to the local university, but whether their stated goal is real or not may escape the instructor and the researcher.  Beware self-reporting.
The defensible course for us is to find out what our students want as well as what they need, and to simply tell them when the two don’t match.  Giving students options on how to cope with the discrepancy would foster agency and maturity, whether they stick it out or not.  Letting young people make mistakes and accept the consequences is also an empowering move which educators, more and more emulating helicopter parents, seem unable to accept.  It’s time we did.


References

Goleman, D. (1985, May 12). Insights into Self-Deception. New York TImes. Retrieved June 10, 2016.
Hart, B., & Risley, T. R. (1995). Meaningful differences in the everyday experience of young American children. Baltimore: P.H. Brookes.
Lareau, A. (2011). Unequal childhoods: Class, race, and family life. Berkeley: University of California Press.
Tough, P. (2016, May 21). To Help Kids Thrive, Coach Their Parents. NY Times. Retrieved May 21, 2016.
X, Malcolm. “Learning to Read” excerpt from The Autobiography of Malcolm X.  Prof. Rachel Bell’s Home Page. San Mateo Community College. Accessed June 10, 2016. http://accounts.smccd.edu/bellr/readerlearningtoread.htm



Monday, June 13, 2016

Under Water Retention



Just as research into classroom best practices is equivocal, so too is the research related to attainment and retention.  It seems that the more we find out, the less we know.  The less we know, the more difficult a time we have defending what we’re doing, fixing what we perceive is a problem.

We spend a lot of time studying students:  their educational background, their ethnicity, race, socio-economic status (SES), growth mindedness, levels of “engagement.” Or we look at institutional behavior:  program effectiveness, developmental education (see previous post), New Student Seminar-type classes, advising resources and practices.

Yet Wyman found that 65% of retention could be explained by two exogenous variables:  the ratio of institutional academic and support spending per student head count and regional employment per capita.  This actually makes sense—many of our older students are in school to improve their credentials in order to get better jobs.  If the job market is favorable to workers, students have less incentive to stick around.  Similarly, if their need for advising services is frustrated or they find class sizes overwhelming, it is reasonable to imagine them being daunted and bail.  Still, researchers otherwise seem to ignore economic or institutional funding variables in their hunt for THE ANSWER.

If nothing else, it should warn us how far we are from understanding what we’re dealing with.  It appears to be more complex than we can fathom.  And if we don’t understand the cause—or causes—then our responses will also be suspect, even if results are initially positive. 

Some researchers think the main connection is between school and career goals (Luke, et al; Achieving the Dream; NY’s ASAP).  They stress full-time enrollment and counselor support.  Trouble is, a large majority of community college students can’t manage a full-time schedule.  How you come up with THE ANSWER that doesn’t fit the profile of most of your students is possibly at the heart of what is wrong with the reform movement—people supplying solutions that redefine the scope and purpose of community colleges to gain efficiencies.  Do we really want to go in that direction and make community colleges “successful” by merely ridding them of problematic students?  Is that the final solution?

Others seek to test a variety of possible factors associated with retention and failure with the view to constructing programs and practices to enhance the first and minimize the second.  The plethora of factors studied or ignored is such that it is difficult to get any sense of what significance the studies have beyond meeting a department publishing quota.  The factors might include age, gender, ethnicity, race, SES (rarely), course load, remedial placement, receipt of financial aid, tutor use, technology aptitude (Mertes and Hoover: 2012), parent’s college level, high school GPA, college GPA, school rank, ACT score, and a host of psychological characteristics, including amiability, intent to return, school to work connections, personal agency, conscientiousness, “engagement,” and so on. 

There are several problems with the procedures followed to gain the relevant information about these factors.  First, the data are often unreliable or sketchy, either because it is self-reported or incomplete.  High school GPA is unreliable because it is often unavailable and researchers rely on students’ recall.  Furthermore, how representative of a student’s knowledge and academic skills, as well as the soft skills required of successful students, is largely dependent on the rigor imposed by high school, which can vary greatly.  Race is becoming more difficult to sort out all the time, as intermarriage has introduced the complications of multiracial identity (Patten: 2015):  the “one drop of blood” test is headed toward the oblivion it deserves.  While psychological tests may exhibit internal reliability—the results vary little from different dates with the same sample—their ability to describe real qualities outside of behavioral observation is contestable, particularly as the data are self-reported, and consistency does not mitigate self-deception (Goleman: 1985; Brown, 102ff: 2014; Sanders and Katz: 2013).

Some variables make sense, but generate further problems.  “Engagement,” loosely defined, is about how much studying and homework a student does.  It sounds like a no-brainer factor in student success.  A committed student, even if she is not always using the most effective methods to study and do homework, will do better than most students who spend little time on their coursework.  But this isn’t anything teachers don’t already know.  The question is how to get students to be committed to such activities.  That’s the rub.  How to teach students to be better students is the task of most First Year Seminars, but many of my students, even those who had been successful in high school, struggle to meet the intellectual demands or achieve the required self-discipline to be as successful in college.  Engagement is too amorphous a virtue if a student has trouble reading, doesn’t make sense of all the new vocabulary and ways of talking about things, can’t touch-type or navigate Word, struggles with Desire 2 Learn, can’t organize his time, can’t bounce back from failures, or negotiate better hours from his employer. 

Which brings me to the chief issue the research reveals:  causation.  Anyone reading a research report ought to know by now that even strong correlation doesn’t yield a cause, for the simple reason that preceding causes may explain both phenomena, both the dependent and independent variables.  If ACT is right, that high school GPA plus high ACT scores predict college success, we shouldn’t be surprised.  These are students who did well in high school, brought knowledge and skills with them to college, adjusted to the new conditions and moved through successfully.  But what of community college students, many of whom don’t take the ACT, and who often did not do well in high school?
I’ve already mentioned academic engagement as correlating positively with college retention.  It and college GPA earn top awards from Pruett and Absher.  Success (grades) leads to staying in school.  That is helpful information?  How can we use it without giving away A’s and B’s? 

Laskey and Hetzel, while studying students at a four year school but focusing on “at risk” freshmen, point to “agreeableness” and “conscientiousness” as key factors.  The first refers to trusting teachers and doing what they say, the latter seems to be similar to “engagement,” with the same limitations.  Should we only admit agreeable and conscientious students?  Perhaps have a class to teach them these virtues?  How successful do you think we can be?

If students believe they have power over their success and failure, and if they see credible connections between school and their career choice, Luke et al find that their chances of staying in school are high.  But what of those who haven’t figured out what their career goal is? What of those who are unaware of what efficacious behavior in school consists of, or simply are unwilling to commit to behavior that would work?

Cress et al argue that service learning is the key to the kind of engagement that leads to college success.  The programs at the community college level in their review are voluntary.  Do students who participate in community service succeed in school because of their engagement in that service, or were they good students to begin with?  Do students who don’t participate in such endeavors fail to stay in school because they don’t participate, or is something else going on?  Do students who work 20 or more hours a week with a child at home do service learning on the side?  From the 40 page report, it looks like the researchers didn’t ask the question.

Even if we start figuring out what the magic factors are that lead to success—and it seems to me we have more answers than we can use—we still have to figure out where those factors come from.  Stay tuned.


References

Brown, P., Roediger III, H., & McDaniel, M. (2014). Make It Stick: The Science of Successful Learning. Cambridge, MA: Belknap.
Cress, C. M., et al. (2010). A Promising Connection: Increasing College Access and Success through Civic Engagement. Retrieved June 10, 2016, from http://compact.org/resource-posts/a-promising-connection-increasing-college-access-and-success-through-civic-engagement/
Goleman, D. (1985, May 12). Insights into Self-Deception. New York TImes. Retrieved June 10, 2016, from http://www.nytimes.com/1985/05/12/magazine/insights-into-self-deception.html?pagewanted=all.
 Laskey, M. L., & Hetzel, C. J. (2011). Investigating factors related to retention of at-risk college students. The Learning Assistance Review, 16(1), p. 31.
Luke, C., Redekop, F., & Burgin, C. (2015). Psychological Factors in Community College Student Retention. Community College Journal of Research and Practice, 39(3), p. 222-234. doi:10.1080/105589252.2013.803940
Mertes, Scott J. and Richard E. Hoover (2014). Predictors of First-Year Retention in a Community College. Community College Journal of Research  and Practice, 38:7, p. 651-660.  DOI: 10.108/10668926.2012.711143
Pruett, P. S., and Beverly Absher (2015). Factors Influencing Retention of Developmental Education Students in Community Colleges. Delta Kappa Gamma Bulletin, 81(4), p. 32.
Sanders, J. D., & Katz, S. (2013). The Overuse and Misuse of Psychological Testing: Why Less Is More: 1. American Journal of Family Law, 26(4), p. 221.
Westrick, Paul A., et al. (2015). College Performance and Retention: a Meta-Analysis of the Predictive Validities of ACT Scores, High School Grades, and SES.  Educational Assessment, 20:1, p. 23-45, DOI: 10.10880/10527197.2015.997614.
Wyman, F. J. (1997).  A Predictive model of Retention Rate at Regional Two-Year Colleges. Community College Review, 25:1, 29-58.