visual topic exploration – for reals?

March 31st, 2009 § 1 Comment

Remember back when I was sad about the demise of Ebsco’s visual search?  I got over it, but I never replaced it with the beginning composition students.  They still explore in Wikipedia, and a lot of them have fun with that, and I still talk about news browsing tools like newsmap in the advanced composition classes, but I haven’t had something to show that gets at that general idea of visual browse and topic exploration since the old visual search went away.

Until now?

Well, I don’t actually know.  But I know the answer is “maybe” which is something.  I was pointed to this tool this morning (still in beta, first area of concern is that I can’t tell if its going to stay free) — eyePlorer.com.

It’s a way to visualize Wikipedia information, which is something we’ve seen before.  But there’s something kind of fun and compelling about how it works.  And there are some add-on tools within the interface that could be really, really useful in the topic exploration phase of the research process.  Still, there are a couple of things that are giving me pause – I’ll get to those at the end.

First, the good.  It’s got circles.  No, seriously, I mean it.  It’s a fun interface to browse around in.

When you start the tool, you get an empty circle with a search box.  It does okay at figuring out the topic you want.  My first try was the topic of a student paper from a while ago.  I remembered this one because I had been pleased at the time that Wikipedia had a page for this student, specifically on their topic – orcas san juan.

EyePlorer wasn’t able to figure out what I meant by that search, but when I backtracked broader to just orcas, it did.  And better yet, one of the clusters of additional information was about places – and I was able to click and connect to information on the specific topic.

There’s a tool at the bottom of the screen that lets you zoom in to see more connections:

or out to see fewer:

If you click on the topics, you get a snippet from Wikipedia, and the option to get a little more.  The snippet is a link which will take you to the wikipedia page.  You can drag these snippets over to a notebook space, and move them around.

(Note – you have to have popups enabled for these things to work)

The note book thing in particular seems really potentially useful during topic exploration.

So why am I hesitant?  Two things.  First, I don’t really get the being able to click through to the Wikipedia page thing, because all of these subtopics and broader topics took me to the same page – the killer whale page from which they were all drawn.  It didn’t even take me to the part of the page the snippet was on, which would have put me closer to being able to click to another page — but I kept expecting to do that, to switch topics, within the tool and as far as I could tell in 10 minutes, I couldn’t.

This connects to the notebook as well – unless you do another search on another set of keywords, the notes that you pull over and rearrange are really just rearranging an existing Wikipedia article.  That’s not very useful.  Your notes do stay on the notebook from search to search, so that’s good – but I think you would need to build in specific guidance about research as an iterative, back and forth process, and make it clear that to use this tool to its fullest they should expect to search on multiple keywords.

That’s fine – research is like that and they should be prepared for back and forth and trying different things.  But when the term you want is right there, and you know that it is a hyperlink in the initial article, it is a little frustrating to have to re-search to get it.

The other, and more important hesitation is the clustering.  Much of the informational material on the site is in German, which I don’t read, or in the form of videos, which I don’t use.  So the answers to this might be there and I was too ignorant/lazy to figure them out.  But I don’t really understand how these different clusters (like slices of pie – color coded?  These areas are representing some kind of clustering) work.  If you mouse over the edge of the pie, you get a label – and some of those made sense (like “place”) but others – not so much.

Check this one out -

That refers to the little blue snippet – mean of transportation.  The Hudson Strait, that I can understand (though I’m not sure how it is different than the other bodies of water which go under “infrastructure”) – but Squid?  If you click on the dot, the snippet tells you that squid are a food source, so it seems like they should be below, in purple, with “milk.”

This might be a beta issue, right now it looks like the same categories attach no matter what the topic – at least I saw the same ones for peak oil and orcas.  And it also might be a language issue.  But I think this is worth keeping an eye on as a tool to encourage broad topic exploration.

follow-up to the doodling as pedagogy post

March 30th, 2009 § 1 Comment

but not really because I think that the doodling article was about better attention – not about better notetaking.  And this post is about notetaking – conference notetaking to be precise – conference notetaking that even those who weren’t at the conference might get something out of to be even more precise.

I thought I might follow the twitterstream from Computers in Libraries this year, but found that I have not really done so.  Is it inherent that there is poor wireless at that conference, or is that just my faulty memory from discussions gone by?  I’ve never been to know myself.  Anyway, if the twitterstream was like this – I would check in more often.

madinkbeard (flickr)

what do huge numbers + powerful computers tell us about scholarly literature? (peer-reviewed Monday)

March 23rd, 2009 § Leave a Comment

ResearchBlogging.org A little more than a month ago, I saw a reference to an article called Complexity and Social Science (by a LOT of authors).  The title intrigued me, but when I clicked through I found out that it was about a different kind of complexity than I had been expecting.

Still, because the authors had made the pre-print available, I started to read it anyway and found myself making my way through the whole thing. The article is about what might be possible with computers and data and powerful computers able to crunch lots of data – what might be possible for the social sciences, not just the life sciences or the physical sciences. The reason it grabbed me was this here -

Computational social science could easily become the almost exclusive domain of private companies and government agencies. Alternatively, there might emerge a “Dead Sea Scrolls” model, with a privileged set of academic researchers sitting on private data from which they produce papers that cannot be critiqued or replicated. Neither scenario will serve the long-term public interest in the accumulation, verification, and dissemination of knowledge.

See, the paper opens by making the point that research in fields like biology and physics have been incontrovertibly transformed by “capacity to collect and analyze massive amounts of data” but while lots and lots of people are doing stuff online every day – stuff that leaves “breadcrumbs” that can be noticed, counted, tracked and analyzed, the literature in the social sciences includes precious few examples of that kind of data analysis.  Which isn’t to say that it isn’t happening – it is and we know it is, but it’s the googles and the facebooks and the NSA’s that are doing it. The quotation about gets at the implications of that.

The article is brief and well worth a scan even if you, like me, need a primer to really understand the kind of analysis they are talking about.  I read it, bookmarked it, briefly thought about writing about it here but couldn’t really come up with the information literacy connection I wanted (there is definitely stuff there – if nowhere else it’s in the discussion of privacy, but the connection I wasn’t looking for wasn’t there for me at that moment) so I didn’t.

But then last week, I saw this article, Clickstream Data Yields High-Resolution Maps of Science, linked in the ResearchBlogs twitter feed (and since then at Visual Complexity, elearnspaceStephen’s Web, Orgtheory.net, and EcoTone).

And they connect – because while this specific type of inquiry isn’t one of the examples listed in the Science article, this is exactly what happens when you turn the huge amounts of data available, all of those digital breadcrumbs, into a big picture of what people are doing on the web — in this case what they are doing when they work with the scholarly literature. And it’s a really cool picture:

The research is based on data gathered from “scholarly web portals” – from publishers, journals, aggregators and institutions.  The researchers collected nearly 1 billion interactions from these portals, and used them to develop a journal clickstream model, which was then visualized as a network.

For librarians, this is interesting because it adds richness to our picture of how people, scholars, engage with the scholarly literature – dimensions not captured by traditional measures of impact data.  For example, what people cite and what they actually access on the web aren’t necessarily the same thing, and a focus on citation as the only measure of significance has always provided only a part of whatever picture there is out there.  Beyond this, as the authors point out, clickstream data allows analysis of scholarly activity in real-time, while to do citation analysis one has to wait out the months-and-years delay of the publication cycle.

It’s also interesting in that it includes data not just from the physical or natural sciences, but from the social sciences and humanities as well.

What I also like about this, as an instruction librarian, is the picture that it provides of how scholarship connects.  It’s another way of providing context to students who don’t really know what disciplines are, don’t really know that there are a lot of different scholarly discourses, and who don’t really have the tools yet to contextualize the scholarly literature they are required to use in their work.  Presenting it as a visual network only highlights this potential for this kind of research more.

And finally – and pulling this back to the Science article mentioned at the top, this article is open – published in an open-access journal and I have to think that the big flurry of attention is has received in the blogs I read, blogs with no inherent disciplinary or topical connection to each other, is in part because of that.

———————-

Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabasi, A., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., & Van Alstyne, M. (2009). SOCIAL SCIENCE: Computational Social Science Science, 323 (5915), 721-723 DOI: 10.1126/science.1167742

Bollen, J., Van de Sompel, H., Hagberg, A., Bettencourt, L., Chute, R., Rodriguez, M., & Balakireva, L. (2009). Clickstream Data Yields High-Resolution Maps of Science PLoS ONE, 4 (3) DOI: 10.1371/journal.pone.0004803

peer-review, what it is good for? (peer-reviewed Monday)

March 18th, 2009 § 2 Comments

ResearchBlogging.org

In a lot of disciplines, the peer reviewed literature is all about the new, but while the stories may be new, they’re usually told in the same same same old ways.  This is a genre that definitely has its generic conventions.  So while the what of the articles is new, it’s pretty unusual to see someone try to find a new way to share the what.  I’ll admit it, that was part of the attraction here.

And also attractive is that it is available.  Not really openly available, but it is in the free “sample” issue of the journal Perspectives on Psychological Science.  I’m pulling this one thing out of that issue, but there are seriously LOTS of articles that look interesting and relevant if you think about scholarship, research, or teaching/learning those things — articles about peer review, IRB, research methods, evidence-based practice, and more.

Trafimow, D., & Rice, S. (2009). What If Social Scientists Had Reviewed Great Scientific Works of the Past? Perspectives on Psychological Science, 4 (1), 65-78 DOI: 10.1111/j.1745-6924.2009.01107.x

So here’s the conceit – the authors take several key scientific discoveries, pretend they have been submitted to social science/ psychology journals, and write up some typical social-science-y editors’ decisions.  The obvious argument of the paper is that reviewers in social science journals are harsher than those in the sciences, and as a result they are less likely to publish genius research.

No Matter Project (flickr)

I think that argument is a little bit of a red herring; the real argument of the paper is more nuanced.  The analogy I kept thinking about was the search committee with 120 application packets to go through – that first pass through, you have to look for reasons to take people out of the running, right?  That’s what they argue is going on with too many reviewers – they’re looking for reasons to reject.  They further argue that any reviewer can find things to criticize in any manuscript, and that just because an article can be criticized doesn’t mean it shouldn’t be published:

A major goal is to dramatize that a review who wishes to find fault is always able to do so.  Therefore, the mere fact that a manuscript can be criticized provides insufficient reason to evaluate it negatively.

So, according to their little dramatizations, Eratosthenes, Galileo, Newton, Harvey, Stahl, Michelson and Morley, Einstein, and Borlaug would each have been rejected by social science reviewers, or at least some social science reviewers.  I won’t get into the specifics of the rejection letters – Einstein is called “insane” (though also genius – reviewers disagree, you know) and Harvey “fanciful” but beyond these obviously amusing conclusions are some deeper ideas about peer review and epistemology.

In their analysis section, Trafimow and Rice come up with 9 reasons why manuscripts are frequently rejected:

  • it’s implausible
  • there’s nothing new here
  • there are alternative explanations
  • it’s too complex
  • there’s a problem with methodology (or statistics)
  • incapable of falsification
  • the reasoning is circular
  • I have different questions I ask about applied work
  • I am making value judgments

A few of these relate to the inherent conservatism of science and peer review, that has been well established (and which was brought up here a few months ago).  For example, plausibility refers to reviewers are inclined to accept what is already “known” as plausible, and challenges to that received knowledge as implausible, no matter how strong the reasoning behind the challenging interpretation.

A few get at that “trying to find fault” thing I mentioned above.  You can always come up with some “alternative explanation” for a researcher’s results, and you can always suggest some other test or some other measurement a researcher “should have” done.  The trick is to suggest rejection only when you can show how that missing test, or alternative explanation really matters, but they suggest that a lot of reviewers don’t do this.

Interestingly, Female Science Professor had a similar post today, about reviewers who claim that things are not new, but who do not provide citations to verify that claim.  Trafimow and Rice spend a bit of time themselves on the “nothing new” reason for rejectin.  They suggest that there are five levels at which new research or knowledge can make a new contribution:

  • new experimental paradigm
  • new finding
  • new hypothesis
  • new theory
  • new unifying principle

They posit that few articles will be “new” in all of these ways, and that reviewers who want to reject an article can focus on the dimension where the research isn’t new, while ignoring what is.

Which relates to the value judgments, or at least to the value judgment they spend the most time on – the idea that social science reviewers value data, empirical data, more than anything else, even at the expense of potentially groundbreaking new theory that might push the discourse in that field forward.  They suggest that a really brilliant theory should be published in advance of the data – that other, subsequent researchers can work on that part.

And that piece is really interesting to me because the central conceit of this article focuses our attention, with hindsight, on rejections of stuff that would fairly routinely be considered genius.  And even the most knee-jerk, die hard advocate of the peer review process would not make the argument that most of the knowledge reported in peer-reviewed journals is also genius.  So what they’re really getting at here isn’t does the process work for most stuff so much as it is, are most reviewers in this field able to recognize genius when they see it, and are our accepted practices likely to help them or hinder them?

More Revision, Djenan (flickr)

And here’s the thing – I am almost thinking that they think that recognizing genius isn’t up to the reviewers.  I know!  Crazytalk.  But one of the clearest advantages to peer review is that revision based on thoughtful, critical, constructive commentary by experts in the field will, inherently, make a paper better.  That’s an absolute statement but one I’m pretty comfortable making.

What I found striking about Trafimow and Rice’s piece is that over and over again I kept thinking that the problems with the problems they were identifying was that they led to reviews that weren’t helpful to the authors.  They criticize suggestions that won’t make the paper better, that conventions that shouldn’t apply to all research, and the like.  They focus more on bad reviews than good and they don’t really talk explicitly about the value of peer review but if I had to point at the implicit value of peer review as suggested by this paper, that would be it.

There are two response pieces alongside this article, and the first one picks up this theme.  Raymond Nickerson does spend some time talking about one purpose of reviews being to ensure that published research meets some standard of quality, but he talks more about what works in peer review and what authors want from reviewers – and in this part of his response he talks about reviews that help authors make papers better.  In a small survey he did:

Ninety percent of the respondents expected reviewers to do substantially more than advise an editor regarding a manuscript’s publishability.  A majority (77%) expressed preferences for an editorial decision with detailed substantive feedback regarding problems and suggestions for improvement…

(Nickerson also takes issue with the other argument implied by the paper’s title – that the natural and physical sciences have been so much kinder to their geniuses.  And in my limited knowledge of this area, that is a point well taken.  That inherent conservatism of peer rview certainly attaches in other fields – there’s a reason why Einstein’s Theory of Special Relativity is so often put forward as the example of the theory published in advance of the data.  It’s not the only one, but it is not like there are zillions of examples to choose from.)

Nickerson does agree with Trafimow and Rice’s central idea – that just because criticisms exist doesn’t mean new knowledge should be rejected.  M. Lynne Cooper, in the second response piece, also agrees with this premise but spends most of her time talking about the gatekeeper, or quality control, aspects of the peer review process.  And as a result, her argument, at least to me, is less compelling.

She seems too worried that potential reviewers will read Trafimow and Rice and conclude that they should not ever question methodology, or whether something is new — that just because Trafimow and Rice argue that these lines of evaluation can be mis-used, that potential reviewers will assume that they cannot be properly used.  That seems far-fetched to me, but what do I know?  This isn’t my field.

Cooper focuses on what Trafimow and Rice don’t: what makes a good review.  A good review should:

  • Be evaluative and balanced between positives and negatives
  • Evaluate connections to the literature
  • Be factually accurate and provide examples and citations where criticisms are made
  • Be fair and unbiased
  • Be tactful
  • Treat the author as an equal

But I’m less convinced by Cooper’s suggestions for making this happen.  She rejects the idea of open peer review in two sentences, but argues that the idea of authors giving (still anonymous) reviewers written feedback at the end of the process might cause reviewers to be more careful with their work.  She does call, as does Nickerson, for formal training.  She also suggests that the reviewers’ burden needs to decrease to give them time to do a good job, but given other things I have read make me wonder about her suggestion that there be fewer reviewers per paper.

In any event, these seem at best like bandaid solutions for a much bigger problem.   See, what none of these papers do (and it’s not their intent to do this) is talk about the bigger picture of scholarly communication and peer review.  And that’s relevant, particularly when you start looking at these solutions.  I was just at a presentation recently where someone argued that peer review was on it’s way out not for any of the usual reasons but because they were being asked to review more stuff, and they had time to review less.  Can limiting reviewing gigs to the best reviewers really work; can the burden on those reviewers be lightened enough?

The paper’s framing device includes science that pre-dates peer review, that pre-dates editorial peer review as we know it, that didn’t go through the full peer-review process, which begs the question – do we need editorial peer review to make this knowledge creation happen?  Because the examples they’re putting out there aren’t Normal Science examples.  These are the breaks and the shifts and the genius that Normal Science process kind of by definition has trouble dealing with.

And I’m not saying that editors and reviewers and traditional practices don’t work for genius, that’s would be ridiculous.  But I’m wondering if the peer-reviewed article is really the only way to get at all of the kinds of knowledge creation, of innovation, that the authors talk about in this article – is this process really the best way for scholars to communicate all of those five levels/kinds of new knowledge outlined above?  I don’t want to lose the idealistic picture of expert, mentor scholars lending their expertise and knowledge to help make others’ contributions stronger.  I don’t want to lose that which extended reflection, revision and collaboration can create.

I am really not sure that all kinds of scholarly communication or scholarly knowledge creation benefit from the iterative, lengthy, revision-based process of peer review.  I guess what I’m saying is that I don’t think problems with peer review by themselves are why genius sometimes gets stifled, and I don’t think fixing peer review will mean genius gets shared.  I don’t think the authors of any of these pieces think that either, but these pieces do beg that question – what else is there.

What we did at our last library faculty meeting

March 17th, 2009 § 1 Comment

Which I missed, because I was off campus that day.

But I totally, 100% supported this action from afar — we adopted an open access mandate!

Appropriately, it lives in the institutional repository.

Comment from Peter Suber at Open Access News.

More comments from my colleague Terry Reese.

This was made a little more meaningful to me because just in these last two weeks I’ve had a weird flurry of interest from different people/groups in this paper, which my co-author and I archived in the IR last year.  Pointing these people to the archived copy wasn’t just convenient – it actually did provide me with all of these golden opportunities to  talk to people (who might themselves be in a position to assert authors’ rights someday) about open access and author’s rights in a very organic way.

monday morning drive-by

March 16th, 2009 § Leave a Comment

I have been reading peer-reviewed articles. LOTS and LOTS of them. But the last two left me unclear on the concept – as in, I thought I understood the value of reflection and revision and I thought I liked thoughtful, academic writing but these went through the process and yet provided none of those things so far as I could see so is it the concept I’m not getting or just these articles. I just need to come across another one that leads me to go YES or NO, but that makes me think of something new. That’ll happen later today, I’m sure

For now, though, doesn’t it seem like this — Specifics on Newspapers from the “State of the News” Report (Editor & Publisher).

They don’t bury the lead here – The business of journalism is quickly running of out time to transform its model, a new study from the Project in Excellence in Journalism found.”

and this — News You can Endow (New York Times) — Yale’s Endowment officer David Swensen argues that newspapers should be endowed like colleges and universities, freeing them from a business model that won’t work and protecting them as necessary to the public good. (This one is a couple months old, but I just saw it today):

By endowing our most valued sources of news we would free them from the strictures of an obsolete business model and offer them a permanent place in society, like that of America’s colleges and universities. Endowments would transform newspapers into unshakable fixtures of American life, with greater stability and enhanced independence that would allow them to serve the public good more effectively.

ETA – related to this = How to Fix American Journalism, Part II (Sara Catania at Huffington Post)

and this — Daily News Habit Doubles among U.S. Mobile Users (TechCrunch)

The number of people who access news and information daily on their mobile phones doubled from 10.8 million in January, 2008 to 22.4 million in January, 2009.

are connected?

And connected as well to scholarly publishing – at least in the way that Alex Reid posits after getting back from the CCCC conference — the crisis of scholarly publication: a regurgitating choreography of CCCC 2009 (Digital Digs):

I think it is fair to say that we are in a related situation in terms of scholarly journals and books. Arguably the old system must break before a new one will have a chance to emerge. In the interim, and already, we can see a variety of measures and experiments–from blogs to online journals like Kairos to WAC Clearinghouse and Parlor Press to open source textbooks.

If you only click one of the links, I’d suggest the Digital Digs piece – it’s got a lot you’ve probably thought about before, but presented in a way that shook some things loose in my head

Why I love the ResearchBlogs twitter feed

March 13th, 2009 § Leave a Comment

I haven’t figured out why there are some things I just like hearing about on Twitter – but the new posts on ResearchBlogging.org are some of those things. I used to keep the RSS feed – which is the same information – in my reader, and I just didn’t look at it the same way as I do now that I’m finding it in Twitter.

It’s a mystery.

Anyway, here’s why. Over the past few days, I’ve been able to click through to a discussion of this article about how doctors are using evidence – excellent for thinking about how people use evidence and information literacy:

How strong is your evidence (BrainBlogger)

Which led me as well to a related discussion of this article about publication bias in pharmaceutical research, which sparks more thoughts about information literacy and evaluation.  And this nice summary of research methods and how research is reported in health psychology.

And back to the twitter feed – I also clicked through to this one, which is entirely awesome and fascinating and might still be the next peer-reviewed Monday, but I don’t want to keep it under my hat here.  It’s a discussion of an article from PLoS ONE analyzing and visualizing click-throughs at scholarly journals.  Again with the information literacy implications, but it goes beyond that into impact factor, scholarly practice and epistemology and makes a stab at uncovering research behaviors that have previously been un-capturable.

And this one – which is about teaching and what some research says about how to do it.  And this, which is a reminder of how the stuff researchers find out about the brain connects to how we teach, learn and remember (and which I can understand much more easily than the original article).

Maybe it’s because there’s so much else to read in my RSS feeds that these articles, which take a little more work than many blog posts, seem like too much.  But in twitter, I can focus more?  Who knows,  but I do know that I’m reading more scholarly articles, and discussions of scholarly articles, than I was before which is a good thing.

any instruction librarians

March 9th, 2009 § 5 Comments

willing to help me and a colleague test a survey? It’ll probably take a little bit of time – we’re guessing 20-30 minutes, but that’s one of the things we’re testing.

ETA – Covered! Thanks all, so much. Keep your eyes open for Peer-Reviewed, um, probably Wednesday.

Peer-reviewed Monday – knowing stuff makes you search better

March 2nd, 2009 § 3 Comments

ResearchBlogging.org

Actually, it doesn’t. But more on that later.

I might have to rethink the peer-reviewed Monday thing because sometimes there are Mondays when I just don’t have anything exciting to talk about. I knew I should have saved the doodling thing, but I just didn’t want to.

So today found me searching. And look what I found – from the psychology realm this time, published in Computers & Education.

Teena Willoughby, S. Alexandria Anderson, Eileen Wood, Julie Mueller, Craig Ross (2009). Fast searching for information on the Internet to use in a learning context: The impact of domain knowledge Computers & Education, 52 (3), 640-648 DOI: 10.1016/j.compedu.2008.11.009

I couldn’t find a pre-print (though, as Barbara pointed out a couple of weeks ago, Elsevier usually allows self-archiving.  And SHERPA/RoMEO says this particular journal allows authors to archive the post-print) so this link is just to the abstract & references.

The basic idea that knowing stuff makes you a better searcher is pretty well known in instruction circles – it’s the thing upon which we base the whole idea that people should “explore broadly before narrowing to a thesis.”  It’s a fundamental part of Kuhlthau’s Information Search Process model, and it’s a fundamental part of the work that we do with our beginning composition program.

This article, however, doesn’t really say that.  It doesn’t say that knowing stuff makes you a better searcher — in fact, it concludes that knowing stuff doesn’t seem to make you a better searcher.  And being a better searcher might not really matter.  Because knowing stuff makes you a better information-user.  If you know stuff, the authors found, you can more easily and quickly and efficiently get stuff out of what you find.  Which means you can more quickly make use of it.

A little bit about the method, especially for those of you who can’t just go read the article – the study population was 150 undergraduate students.  Half were studying science (and would thus have a high level of domain knowledge in biology) and half  were enrolled in an environmental studies program (and would thus have a high level of domain knowledge about urban environments).  All students were asked to write two essays: one about biology, and one about urban environments.  The idea was that everyone would have high domain knowledge for one essay, and low for the other.

The students were broken into four groups:

  • 1 group was given basic instruction in Internet searching skills, and used the Internet for 30 minutes before writing their essays (20 science students/ 20 environmental studies students)
  • 1 group was not given any instruction in Internet searching skills, and used the Internet for 30 minutes before writing their essays (20 science students/ 20 environmental studies students)
  • 1 (control) group wrote the essays immediately, with no access to the Internet (20 science students/ 20 environmental studies students)
  • 1 (control) group wrote the essays without using the Internet, but after taking 30 minutes of planning time (15 science students/ 15 environmental studies students)

The essays the students wrote were scored by the number of “factually correct statements or phrases… produced that directly addressed the assigned question.”  So, accuracy and relevance both went into the score but, probably obviously, things like originality, creativity, or the quality of the prose did not.

The only factor measured that played a measurable role in the quality of the students’ essays was their domain knowledge.  The best essays were those written by students with high domain knowledge and Internet access.  When students had low domain knowledge, using the Internet didn’t help – their essays were no better than those produced by the students who wrote without researching first.

More interesting for instruction librarians, teaching students search techniques did not produce better essays.  The authors suggest, interestingly, that this finding might be due to the fact that most of the students are decent searchers, or possibly that Internet search engines are good tools.

The researchers had access to the students’ Internet sessions and they suggest that most students found quality sources on the topics in question — whether or not they had searching instruction.  Similarly, most students were able to *find* decent sources no matter how much domain knowledge they had.  Those who had low levels of domain knowledge, however, apparently couldn’t do much with the sources they found, even when those sources were high-quality and relevant.

Now, of course, the situation created in this study design was very specific – the look something up really fast and then write about it scenario isn’t ideal for student learning.  We all know that.  And I was impressed with the care that the authors took to say that their results did not suggest that novice learners shouldn’t use the Internet.  Instead,

On the contrary, similar to learning from other sources, retrieving information from the Internet and then using that information in a learning context may need to be supported in novices. For example, novices may need to be provided with extra time for searching the Internet (see Desjarlais and Willoughby (2007) for a study supporting that suggestion). In addition, learners may need additional scaffolding such as strategic interventions to facilitate encoding and retrieval of the novel information ([Kuhn et al., 1988] and [Willoughby et al., 1999]).

What’s interesting about this finding to me is in the idea that most students can pretty much handle the searching side of things, especially on the Internet.  This certainly backs up my own anecdotal sense of things, and I’ve heard other instruction librarians suggest the same thing.  I don’t always feel that I have a ton of success convincing others – faculty, or people who work a lot on academic success-related programs – that the finding isn’t the problem though.  Something helping me to argue that my teaching them to find “the good stuff” won’t help all by itself – I like that.

I’m not saying that students don’t need help searching – that they can find the best sources without training.  Of course, I’ve written before about my skepticism about the whole best source concept.  I also don’t think they can search comprehensively without training.  But how often do undergraduates really need to do that?  Anyway, knowing that is harder for them to organize, contextualize, analyze and remember new information when their domain knowledge is low – that’s valuable.  Breaking down some of the assumptions that if they’re not using the good stuff it’s not inherently because they are too lazy or incompetent to find the good stuff – that’s valuable too.

making Google Scholar work harder

March 1st, 2009 § 3 Comments

This was weird. I followed the link from Catherine’s excellent comment on my last post over to her excellent instruction-focused blog and while I was browsing the archives to check it out, I came across this post, which I knew that I was going to share.

It’s a nifty tip on how to force Google Scholar to add a “cited by [insert scholarly work of choice here]” to a regular keyword search.  Or put another way, it’s a way to search within a list of “cited by” results within Google Scholar.  For anyone at an institution that doesn’t subscribe to a lot of databases that support cited-reference searching the value is obvious, but I would suspect most of us have wanted to do just that from time to time, access to Web of Science or no.

Then today, less than fifteen minutes after I browsed that post I opened Google Reader to see that Fred Stutzman has posted today on his (yes, excellent) blog exactly the same solution to exactly the same problem.  His post lays it out in step-by-step format, if that’s what your brain likes.

That’s some crazy synchronicity.

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