e-Literate

Present is Prologue

Category: Research

Empirical studies, good and bad.

  • College Scorecard Problem Gets Worse: One in three associate’s degree institutions are not included

    Late yesterday I posted about the Education Department (ED) new College Scorecard and how it omits a large number of community colleges based on an arbitrary metric.

    In particular, the Education Department (ED) is using a questionable method of determining whether an institution is degree-granting rather than relying on the IPEDS data source. In a nutshell, if an institution awarded more certificates than degrees, then it is not labeled as “predominantly awarded 2-year or 4-yeard degrees” and therefore excluded.

    I am not quite confident that the explanation for the vast majority of missing schools is based on this finding. In short, if an institutions awards more certificates than degrees, ED removes them from the public-facing website even if they are technically degree-granting institutions.

    Originally it appeared this situation encompassed 17% of all community colleges, but further analysis shows it to be more significant. (more…)

  • 17% Of Community Colleges Are Not Included In College Scorecard

    In addition to the highly-misleading usage of ‘first-time full-time’ qualification for official graduate rates reported in the College Scorecard, there appears to be another major issue with the data. In particular, the Education Department (ED) is using a questionable method of determining whether an institution is degree-granting rather than relying on the IPEDS data source. In a nutshell, if an institution awarded more certificates than degrees, then it is not labeled as “predominantly awarded 2-year or 4-yeard degrees” and therefore excluded.

    Russ Poulin noted in his WCET post that several community colleges were missing from the Scorecard based on a quick spot check:

    • Colorado – Aims, Front Range, Pueblo, and Otero Community Colleges.
    • Arizona – Rio Salado College.
    • California – Bakersfield College.

    The consumer website itself offers no explanation that certain degree-granting schools are excluded. The Technical Paper that corresponds to the data release explains that selection of schools on page 28: (more…)

  • Personalized Learning is Hard

    Paul Fain has written a really good, nuanced article at IHE covering the update that Essex County College gave of their developmental math adaptive learning pilot at a recent conference in Washington, DC. We did a two–part case study on ECC in our e-Literate TV series). The headline results are as follows:

    • In the first year, the pass rate was worse than  in the traditional classes. (The first semester was “disastrous.”)
    • This year—the second year—the pass rate is coming closer to the traditional class but is still underperforming.
    • The article seems to imply that students who earn a C in the personalized learning class do better than students who earn a C in the traditional class, but the article is not explicit about that.

    There is no magic pill. As Phil and I have been saying all along—most recently in my last post, which mentioned ECC’s use of adaptive learning—the software is, at best, an enabler. It’s the work that the students and teachers do around the software that makes the difference. Or not. In ECC’s case, they are trying to implement a pretty radical change in pedagogy with an at-risk population. It’s worth digging into the details.

    (more…)

  • 68 Percent of Statistics Are Meaningless, Purdue University Edition

    I don’t know of any other way to put this. Purdue University is harming higher education by knowingly peddling questionable research for the purpose of institutional self-aggrandizement. Purdue leadership should issue a retraction and an apology.

    We have covered Purdue’s Course Signals extensively here at e-Literate. It is a pioneering program, and evidence does suggest that it helps at-risk students pass courses. That said, Purdue came out with a later study that is suspect. The study in question claimed that students who used Course Signals in consecutive classes were more likely to see improved performance over time, even in courses that did not use the tool. Mike Caulfield looked at the results and had an intuition that the result of the study was actually caused by selection bias. Students who stuck around to take courses in consecutive semesters were more likely to…stick around and take more courses in consecutive semesters. So students who stuck around to take more Course Signals courses in consecutive semesters would, like their peers, be more likely to stick around and take more courses. Al Essa did a mathematical simulation and proved Mike’s intuition that Purdue’s results could be the result of selection bias. Mike wrote up a great explainer here on e-Literate that goes into all the details. If there was indeed a mistake in the research, it was almost certainly an honest one. Nevertheless, there was an obligation on Purdue’s part to re-examine the research in light of the new critique. After all, the school was getting positive press from the research and had licensed the platform to SunGard (now Ellucian). Furthermore, as a pioneering and high-profile foray into learning analytics, Course Signals was getting a lot of attention and influencing future research and product development in the field. We needed a clearer answer regarding the validity of the findings.

    Despite our calls here on the blog, and our efforts to contact Purdue directly, and attention the issue got in the academic press, Purdue chose to remain silent on the issue. Our sources informed us at the time that Purdue leadership was aware of the controversy surrounding the study and made a decision not to respond. Keep in mind that the research was conducted by Purdue staff rather than faculty. As a results, those researchers did not have the cover of academic freedom and were not free to address the study on their own without first getting a green light from their employer. To make matters more complicated, none of the researchers on that project still work at Purdue anymore. So the onus was on the institution to respond. They chose not to do so.

    That was bad enough. Today it became clear that Purdue is actively promoting that questionable research. In a piece published today in Education Dive, Purdue’s “senior communications and marketing specialist” Steve Tally said

    the initial five- and six-year raw data about the impact of Signals showed students who took at least two Signals-enabled courses had graduation rates that were 20% higher. Tally said the program is most effective in freshman and sophomore year classes.

    “We’re changing students’ academic behaviors,” Tally said, “which is why the effect is so much stronger after two courses with Signals rather than one.” A second semester with Signals early on in students’ degree programs could set behaviors for the rest of their academic careers.

    It’s hard to read this as anything other than a reference the study that Mike and Al challenged. Furthermore, the comment about “raw data” suggests that Purdue has made no effort to control for the selection bias in question. Two years after the study was challenged, they have not responded, not looked into it, and continue to use it to promote the image of the university.

    This is unconscionable. If an academic scholar behaved that way, she would be ostracized in her field. And if a big vendor like Pearson or Blackboard behaved that way, it would be broadly vilified in the academic press and academic community. Purdue needs to come clean. They need to defend the basis on which they continue to make claims about their program the same way a scholar applying for tenure at their institution would be expected to be responsible for her claims. Purdue’s peer institutions likewise need to hold the school accountable and let them know that their reputation for integrity and credibility is at stake.

  • IBM’s Misleading or Just Incorrect National Ad on Student Retention

    Thanks to Chris Edwards for alerting me to this one. In a nutshell, IBM launched a national ad campaign last month that included commercials during Wimbledon on the weekend. They’re spending big money on this campaign about big data, learning analytics, and reducing “dropout rates” [emphasis added below].

    In the US, 3 in 10 college students drop out, but how can you spot who is at risk? The one who lives far from campus? The one who works the night shift? The one with new responsibilities? One thing can’t tell you, but the right combination can. Universities are using IBM Analytics to understand pressures in and out of the classroom. Some expect to cut dropout rates by 25%. IBM Analytics is working to make education smarter every day.

    If you follow the URL listed at the end of the YouTube video and select ‘Education’, you get to the main page that highlights the same video as above. For further explanation: (more…)

  • Giving D2L Credit Where Credit Is Due

    Michael and I have made several specific criticisms of D2L’s marketing claims lately culminating in this blog post about examples based on work at the University of Wisconsin-Milwaukee (UWM) and California State University at Long Beach (CSULB).

    I understand that other ed tech vendors make marketing claims that cannot always be tied to reality, but these examples cross a line. They misuse and misrepresent academic outcomes data – whether public research-based on internal research – and essentially take credit for their technology “delivering results”.

    This week brought welcome updates from D2L that go a long way towards addressing the issues we raised. As of Monday, I noticed that the ‘Why Brightspace? Results’ page now has links to supporting material for each claim, and the UWM claim has been reworded. Today, D2L released a blog post explaining these changes and admitting the mistakes. D2L even changed the web page to allow text selection for copy / paste. From the blog post: (more…)

  • Promising Research Results On Specific Forms Of Adaptive Learning / ITS

    Recently I described an unpublished study by Dragan Gasevic and team on the use of Knowillage / LeaP adaptive platform. ((When the study started Knowillage was an independent company; mid-way through study D2L bought Knowillage and renamed product as LeaP.)) The context of article was on D2L’s misuse of the results, but the study itself is interesting in terms of its findings that adaptive learning usage (specifically LeaP in addition to Moodle within an Intro to Chemistry course) can improve academic performance. I will share more when and if the results become public.

    If we look to published research reports there are other studies that back up the potential of adaptive approaches, but the most promising results appear to be for a subset of adaptive systems that provide not just content selection but also tutoring. Last year a research team from Simon Fraser University and Washington State University published a meta-analysis on Intelligent Tutoring Systems (ITS) which they described as having origins from 1970 and the development of SCHOLAR. ((I would link to G+ post by George Station here if it were not for the ironic impossibility of searching within that platform.)) The study looked at 107 studies involving 14,321 participants and found:

    The use of ITS was associated with greater achievement in comparison with teacher-led, large-group instruction (g .42), non-ITS computer-based instruction (g .57), and textbooks or workbooks (g .35). There was no significant difference between learning from ITS and learning from individualized human tutoring (g –.11) or small-group instruction (g .05). Significant, positive mean effect sizes were found regardless of whether the ITS was used as the principal means of instruction, a supplement to teacher-led instruction, an integral component of teacher-led instruction, or an aid to homework. Significant, positive effect sizes were found at all levels of education, in almost all subject domains evaluated, and whether or not the ITS provided feedback or modeled student misconceptions. The claim that ITS are relatively effective tools for learning is consistent with our analysis of potential publication bias.

    (more…)