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Mistaken Goal: Where Student Affairs & Technology Meet


"...technology is not something that happens to us. It is something we create. We must not confuse a tool with a goal. We must, therefore, be sure that technology serves the fundamental purposes of higher education." Stanley N. Katz in "In Information Technology, Don't Mistake a Tool for a Goal"

Thumbs Down for CBS News NSSE Article

There are many different angles one could take in reporting on the 2011 NSSE Annual Results; it’s a dense 50-page report. I know that every group has its own agenda and every reporter has his or her own personal interests but it’s very disappointing that CBS News chose the snide headline “Business majors: College’s worst slackers?” for their article. In an ordered list, something must be last. In this case, some major must rank last in the number of hours students typically study each week. But to label that group of students “slackers” simply because they fall at the bottom of the list is unnecessarily mean and unprofessional.

Fun Time of Year: NSSE Annual Results Released

The 2011 NSSE Annual Results were released today. I don’t want to focus on the content of the report in this blog post. Instead, I am briefly noting how fun it is to work on a project with a large impact that regularly receives attention from the press (even if some of the attention is sometimes negative, a very interesting experience itself). It’s gotten more fun each year as I’ve become more involved in much of what we do; this year I directly contributed by writing part of the report itself. Yes, it’s ego-boosting to see my work in print but more importantly it helps address a very serious and difficult problem that vexes many researchers and administrators in higher education: It’s hard to explain to others, especially our parents and extended families, what we do. Instead of trying to convince them that I really have graduated (several times!) and am not wasting my whole life in college, I can send them the report and articles from the New York Times and USA Today and say, “Look – this is what I do!”

Now I get to watch media reports and subsequent discussions to see how they play out and what they will emphasize. This process is unpredictable and it has surprised me in previous years when relatively small bits of information have caught on to the exclusion of other interesting and important information. As The Chronicle of Higher Education notes, this year may be a bit different given recent events but who knows how things will play out.

Part-time Students Are Not (Yet) The Majority

Right after I posted a screed about how some recent research about Twitter’s relationship with students’ grades has been misunderstood, along came another study that is being mischaracterized. I’m not looking for these things; I don’t want to be some kind of education research watchdog or bully. But this is important and I must speak up.

The demographics of U.S. college students are changing and too many of us are not changing our practices to match. Recently, Complete College America released a report focusing on these changing demographics with a specific focus on part-time students and the continued growth of non-traditional students. It focuses on some very important and often overlooked topics and it should elicit discussion and promote action.

Frustratingly, several of the media reports are misreporting what is in this study, particularly in their headlines and summaries. The study very explicitly says that “4 of every 10 public college students are able to attend only part-time” on its second page. So why are some reporters and commentators summarizing the report with headlines proclaiming that part-time students are the new majority? I can understand a relatively small shop making this mistake, particularly if they’re in a rush to try to get the word out about this important study and happy to make corrections. But why is the Washington Post getting it wrong and letting the error persist for days? And why are higher education professionals passing along this report with incorrect information, blindly repeating headlines and summaries that get it wrong?

(Not everyone is getting this wrong. For example, The Atlantic gets it just right.)

This is so frustrating to me because the topics discussed in this report are so important. Non-traditional students do make up the majority of students. The federal government does a poor job collecting information about these students by often focusing exclusively on first-time, first year students (which, coincidentally, was an issue I wrote about in my qualifying exam). Too many of us have tunnel vision and only focus on the students on our campus or – more accurately – the students we think are on our campus. In the context of student affairs, I worry particularly about the next generation of professionals and whether these demographic changes are being addressed in their coursework. My impression is that they are not; I hope I am wrong!

Limitations and Lost Nuance: Twitter Does Not Improve Grades

I’ve watched with interest over the last several months as media outlets and individuals have discussed, blogged, and tweeted a study conducted by Junco, Heiberger, and Loken. Their study reported that a group of students who used Twitter as part of a class earned higher grades than classmates in sections of the class that did not use Twitter. It’s a nice study that is clearly described and methodologically sound. Like all studies, it has significant limitations and they are concisely and honestly discussed in the study but those limitations have been ignored by too many people who have made the study into something it’s not.

The study concluded that “Twitter can be used to engage students in ways that are important for their academic and psychosocial development” (p. 10). But is that what has been reported and discussed by others? No, of course not; if it were then I wouldn’t be writing this sanctimonious blog post! Mashable, a very widely-read and influential technology blog, reported on the study using the headline “Twitter Increases Student Engagement [STUDY].” A recently-created infographic proclaims that “Students in classes that use Twitter to increase engagement have been found to average .5 grade points higher than those in normal classes.” Another infographic proclaims that “[Students get] grades up half a gradepoint in classes that use Twitter.”

I get that pithy headlines and concise summaries are necessary to grab attention. But by overlooking or ignoring the details of this study, those headlines and summaries get this all wrong. Let’s return to the original study to understand why.

In the study, the researchers assigned some sections of a class to use Twitter. While the entire class used Ning, these sections also used Twitter to complete some received additional assignments. They also received guidance and encouragement to use Twitter to communicate not only with one another but also with instructors. At the end of the semester, these students had earned higher grades than their non-Twittering classmates.

If I understand the study’s methodology (Rey, please correct me if I got anything wrong!), it seems that this study does not show that “Twitter improves grades.” It shows us that students who do more work and spend more time concentrating on class materials can earn higher grades. It shows us that students who have additional opportunities to communicate and collaborate with one can another earn higher grades. It also shows us that students who have greater access to instructors can earn higher grades. It shows us that Twitter can be a viable medium for students to communicate and coordinate with one another and instructors. And, yes, it shows that Twitter can be an effective educational tool when skillfully incorporated into a class with appropriate support and structure. In a critique of one of the infographics, Junco specifically mentions this: “Yes, that’s our study about Twitter and grades. Unfortunately, what’s missing is that we used Twitter in specific, educationally-relevant ways—in other words, examining what students are doing on the platform is more important than a binary user/nonuser variable.”

This illustrates the challenge with testing the efficacy of educational tools and techniques: It’s really, really hard to isolate just the impact of the tool or technique. To test the tool or technique, you almost always have to make other changes and it’s usually impossible to tell if those changes changed the results of your study more than the tool or technique you intended to study. It’s a limitation of nearly every study focusing on the effect of particular media on education and it may be an inherent limitation for this kind of work. (Richard Clark has been pointing this out for decades; look into his writings for more detailed discussions. He’s also been wonderful in creating dialog with his detractors so there are well-documented and substantive discussions between many different scholars with different opinions.)

Hence my frustration with how this study has been summarized and passed around: By ignoring the limitations and nuance of this study, these summaries miss the boat and draw a grandiose conclusion that the authors of the study never attempt to draw themselves. That’s a shame because this is a nice study that is interesting and informative. But like most research, it’s a small step forward and not a giant, earthshaking leap. Summarizing this study by proclaiming that Twitter is a magic ingredient that can be added to classes to increase grades is irresponsible and misleading.

Update 1: Thanks for the clarification about Ning, Liz!

Update 2: Another example of how headlines can distort or misrepresent research has just popped up. Before correcting the headline, Colorlines reported that the majority of college students are part-time students (full headline before being corrected: “Study: Majority of College Students are Part-Timers, Less Likely to Graduate”) But the actual report doesn’t say that. Instead, it says that “4 of every 10 public college students are able to attend only part-time” (p. 2). It’s a shame that the research was initially being reported incorrectly because the changing demographics of college students is incredibly important and very misunderstood and overlooked. I know there is a lot nuance in discussions of demographics – race, ethnicity, SES status, privilege, etc. – but if we cover up or ignore the details then we haven’t made any progress.

To their credit, Colorlines corrected their headline once I pointed this out to them. They made a mistake in their initial headline and it’s great they they’re willing to correct their public mistake!

Quick Update: NSSE/EDUCAUSE Partnership

(I’m working on a longer post but I keep getting interrupted by life so this short post will have to do for now.)

I’m super excited that I’m going to the 2011 EDUCAUSE Annual Conference next month in Philadelphia to work with EDUCAUSE staff and members to develop potential questions for the next version of NSSE! I’ve always been a huge fan of EDUCAUSE and the work they do so I’m very hopeful that this collaboration will be fruitful and help us figure out the right kinds of questions to ask about technology. Over the past four years I’ve been involved in several efforts to address technology in NSSE and it’s very difficult so I’m really excited that we’ll be able to tap into the experience and expertise of technology experts.

I’m also a bit trepidatious about this collaboration. It’s young and in many ways undefined. I am hopeful that it bears fruit but it may fizzle out or even backfire since there is so much ground we have yet to cover and these are two large, complex organizations. Like many such efforts, it also feels like it is very dependent on a small number of people. While we’re all very talented and dedicated, we’re also incredibly busy and it may turn out that our interests are incompatible.

I’m also very thankful that this collaboration has even made it this far. It’s very gratifying that my colleagues are still willing to take risks on public ventures like this even as we continue to experience sharp public criticism. It’s more incredible for me to know that my supervisors have been supportive of this effort even though it has largely been championed by one graduate student. Of course, I haven’t done this or anything here by myself; I’ve had wonderful support from many people in nearly everything I’ve done here, especially from my current supervisor Allison BrckaLorenz who has been an enthusiastic supporter and wonderfully capable advisor from day one. Despite all of her other important responsibilities, Allison is neck deep in this EDUCAUSE/technology-thing with me and I’m so happy that she is involved!

So even though I’m a little fearful that this particular effort could fizzle out or even publicly blow up (which seems extraordinarily unlikely but I’m always a bit paranoid), I go into this knowing I’m not alone and I’m working with and for people as supportive as they are brilliant. I really want this collaboration between two of my favorite organizations to work. If this all works out well – and it will be a couple of years before we really know – it could be very powerful in helping U.S. higher education better understand and use technology to teach and communicate with undergraduates. I know that’s a very lofty aspiration but these two organizations are more than capable of fulfilling it.

More #sachat analysis: One Illuminating Figure

Laura Pasquini and I are working on analyzing #sachat data, a follow-up to work I’ve done previously but did not formally publish. Part of our work involves looking at a few other student affairs-related hashtags to help us understand #sachat in context. This figure shows the number of Twitter messages posted with particular hashtags – #highered, #sachat, #sadoc, #sagrad, #sajobs, and #studentaffairs – during the week of June 27, 2011. The #sachat session really stands out here both in the number of messages posted and in how it interrupts an otherwise regular daily and weekly pattern. This isn’t a profound discovery but it’s an easy way of illustrating that #sachat sessions are relatively unique and prominent uses of Twitter among some users.

Visualizing #sachat Data (First Draft)

It took me much longer than I had hoped but today I finally finished a first draft of a visualization of some of the #sachat data I’ve been working with:

The method of analysis used in this video is dynamic topic analysis (DTA). DTA was developed by Dr. Susan Herring and more information about the method can be found in one of her papers published in 2003. This method of visualizing DTA data was created by Andrew Kurtz and Dr. Susan Herring. Andrew’s original Java tool isn’t working for me any more so I developed the graphs in this video using Excel macros to generate R scripts (which has been an adventure because this is the first time I’ve used R).

The music in this video is Tutto L’Amor Perduto by Giorgio Costantini. It is available under a Creative Common license at BeatPick.com.

I created this and publicly posted it for several reasons. First, this really is a first draft and I would love feedback so I can improve it. I’ve already noticed a few small mistakes that will be corrected in the next version. I’ve also received some feedback and suggestions for possible improvements. If you have some, please let me know!

Second, I hope that some in the #sachat community find even this very rough first draft interesting, informative, and possibly even useful. Even though I’m comfortable studying a group that is so very public with their actions and membership, I still believe that I should give back to that community in ways that are appropriate and helpful. It just seems like a nice thing to do and it’s a small way of showing my appreciation to them.

Finally, I’m interested in seeing if there is interest in helping me continue this kind of work. One of the reasons why this is only a rough draft is that I’m the only one who has analyzed these data. DTA is a specialized form of content analysis and, like any content analysis, it should be performed by multiple persons to ensure the codes are being applied consistently (which is why good content analysis studies report interrater reliability figures to help bolster the credibility of the findings). This analysis – and it should hold up well even when other coders are added – shows that this particular use of Twitter is moderator-led discussion with coherent threads of discussion. I need to analyze a few other #sachat sessions to ensure this is consistent for other sessions. I also need to analyze some other Twitter data so I have some useful points of comparison.

I think this use of Twitter is fairly unusual and it would be great to be able to publicly discuss that with confidence. This is a wonderful example of a group of people using a very limited tool to do very good things that transcend (my) expectations and it should be represented in the research literature.

CFP for Articles About Technology and Greek Life

The editors of Oracle: The Research Journal of the Association of Fraternity and Sorority Advisors are putting together an issue dedicated to “empirical research on technology.” Examples of such research may include:

  • Technology’s effect on fraternity/sorority recruitment
  • Studies regarding the ways alumni(ae) connect online
  • Relationship of technology use and fraternity/sorority involvement
  • Impact of email/twitter/facebook and other social networks for Greek organizations

Kim Nehls, Executive Director of ASHE and Visiting Assistant Professor at UNLV, is the guest editor of this issue. Please contact her at kim.nehls@unlv.edu if you’d like to contribute to this issue or have questions.

Coverage and Prominence of U.S. College and University Wikipedia Articles

A colleague and I are presenting a paper at ASHE in a few months discussing the content of Wikipedia college and university articles.  The most common comment the reviewers made of our paper proposal was that we did not quite answer the “So what?” question.  In other words, we didn’t quite convince them that our topic is important and interesting.  Part of the answer lies in convincing you that U.S. college and university Wikipedia articles are (a) very common and (b) very popular.

First, let’s see how common U.S. college and university Wikipedia articles are.  To do this, I need to figure out how many institutions have a Wikipedia article.  I randomly selected 10% (732 units) of the 2008 IPEDS universe, a listing of every Title-IV-participating institution (e.g. virtually every accredited institution in the United States and its territories).  I then checked to see if these units have Wikipedia articles.  Broken down by sector and control and ignoring the handful of system offices and unclassified institutions pulled into the sample, here is what I found:

Table 1: Coverage of Wikipedia Articles
Less than 2-year 2-year 4-year All
Public 20.69% 87.16% 100.00% 82.04%
Private not-for-profit 9.09% 31.25% 91.28% 81.91%
Private for-profit 13.75% 40.21% 85.96% 35.03%
All 14.50% 62.61% 92.26% 61.47%

Considering that most people in the U.S. think of 4-year institutions when they think of “college” or “university,” Table 1 shows us that it’s fair to say that college and university Wikipedia articles are very common.  Not only are they ubiquitous for public 4-year institutions, they’re very common for private 4-year institutions and community colleges.  The primary types of institutions for which they are uncommon are private 2-year institutions and all types of less than 2-year institutions, institutions typically associated with specialized technical training and usually omitted when talking about colleges and universities.

Next, we need to figure out the popularity of U.S. college and university Wikipedia articles.  In this context, I am defining “popular” by examining where the top three search engines – Google, Yahoo!, and Bing – place U.S. college and university Wikipedia articles.  To do this, I selected a random sample of these Wikipedia articles; the sample is also stratified, including 12 articles from each major quality classification assigned by the Wikiproject Universities (Featured, Good/A, B, C, Start, and Stub).

Table 2: Search Engine Placement
Google Yahoo! Bing
Average placement 6.9 2.3 2.3
Percentage first unofficial link 79% 96% 96%

As shown in Table 2, when you search for these institutions in each of the three leading search engines, Wikipedia articles are not only among the very first results but they’re usually the first result that isn’t controlled by the institution.  Google seemed to struggle with providing accurate results for the institutions who do not have unique names (i.e. Southwestern College, Sierra College), listing several other similarly-named institutions above the Wikipedia article.  Yahoo! and Bing did not have this problem, almost always listing the Wikipedia article immediately after the institution’s official website or immediately after the institution’s official website and the official athletics website (of course, Yahoo! and Bing provided the same results since they use the same search technology).

Based on a random sample of the accredited colleges and universities in the United States, Wikipedia has articles for the majority of institutions.  This is particularly true when considering 2- and 4-year institutions, especially public ones.  Further, those Wikipedia articles are placed very highly in search results, usually immediately proceeding the institution’s official website.  Not only are U.S. college and university Wikipedia articles very common, they’re extremely popular.

(The data are available here:

A few of the spreadsheets are rather large for Google spreadsheets so they’re a bit sluggish.  Sorry!)

Framework for Understanding Historical View of Housing Technology

(This is largely a note for myself.  I had an epiphany while showering this morning and I don’t want to forget it!)

I haven’t touched it for a while but for a few years I’ve been working on historical research focused on entertainment and communications technologies in American college and university residence halls. As is often the case, I began this research as it was a topic of interest to me; I placed only superficial thought on practical applications and implications. In other words, I did it only because I liked it and it interested me. But that won’t convince others to care about this research, to listen to me discuss it, or allow me to publish it.

This morning I finally found my hook. This will be the first time I’ve written it down so let’s see how it looks in print:

Understanding the history of entertainment and communications technologies in residence halls provides us with a means for understanding the tapestry of forces that have shaped not only residence halls but academia in the United States. These technologies provide rich examples of innovations motivated by economic competitiveness, cultural expectations, and academic experimentation.

Not only does this provide me with a much-needed organizational framework for this work but it also provides others with a motivation for understanding and supporting this historical research.

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