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and presenting levels of the OET outperformed students who merely viewed a visualization. The relative<br />

impact of the higher levels has been little studied within CER, however. For more information on the<br />

evaluations covered by Urquiza-Fuentes and Velázquez-Iturbide’s survey, see their article and references<br />

therein.<br />

Lauer (2006) used the OET to compare the performance of three groups of students using the MA&DA<br />

AV system for viewing, changing, andconstructing visualizations, respectively. He found no significant<br />

differences between the groups’ performance, which he suggests may be due to the interfering effects of<br />

other factors in the experimental setup.<br />

Myller, Korhonen, and Laakso have compared the controlled viewing and changing levels in the EET in<br />

the TRAKLA2 AV system. Myller et al. (2007b) found no significant difference between a group that used<br />

the system in a controlled viewing mode and another group which engaged with the tool on the changing<br />

level as well. The authors conclude, however, that “students without previous knowledge seem to gain<br />

more from using visualizations on [a] higher engagement level”. Continuing the study, Laakso et al. (2009)<br />

also found no statistically significant differences between a controlled viewing group and a changing group.<br />

They report that this may be in part due to the fact that the students in the changing group did not use<br />

the tool as intended. Korhonen et al. (2009b) found that when AV users who work in collaboration are<br />

engaged on a higher level of the EET, they also communicate more and discuss the topic of the lesson<br />

on more levels of abstraction than when engaged on a lower level. Myller et al. (2009) got similar results<br />

with the Jeliot 3 PV system.<br />

To summarize, it can be said that empirical work to date does tentatively support various claims<br />

behind the engagement taxonomies, but a solid general validation of the taxonomies does not exist at<br />

present. In Section 11.4, I will return to what is known about learner engagement in the specific context<br />

of the PV tools for visualizing notional machines that are the focus of my review.<br />

11.2.3 I prefer a new two-dimensional taxonomy for describing modes of interaction<br />

In Section 11.3 below, one of the aspects that I describe for each of the tools that I review is its support<br />

for different modes of learner engagement. I might have used the OET or EET for this purpose, but have<br />

decided instead to use my own adaptation of them. I will briefly explain the reasons for this before I<br />

outline the framework that I used.<br />

Comments on the OET and EET<br />

The constructing category in the OET seems crowded. Creating a visualization from scratch or from<br />

primitive components is a cognitively demanding task, which requires a kind of reflection on the properties<br />

of the visualization that is distinct in nature from what is required to manipulate a given visualization or<br />

to add annotations (of given kinds) to source code. 5<br />

The EET splits the activities originally placed in the changing and constructing categories variously into<br />

entering input, changing, modifying, andconstructing. The reasoning behind the order of the categories<br />

in the EET is not clear, and some specific choices seem questionable. For instance, is directly changing<br />

a visualization necessarily less engaging than modifying the visualization’s input set? Does entering input<br />

during viewing belong three levels lower than providing an input set before viewing (which counts as<br />

modifying)?<br />

The EET’s introduction of additional categories seems reasonable and potentially helpful. However,<br />

the EET (especially) conflates two dimensions that might best be analyzed separately: how the learner<br />

engages with the visualization itself, and the relationship that the learner has with the software being<br />

visualized.<br />

Finally, the responding category in both taxonomies is somewhat troublesome, as there are many<br />

different kinds of questions that may be asked, some of which demand rather more cognitive effort than<br />

others. This concern does apply to other levels as well, but responding is arguably the vaguest. (Cf. the<br />

criticism of Bloom’s taxonomy at the beginning of Section 2.2.)<br />

The following is my analytical attempt to improve on the taxonomies.<br />

5 A similar criticism has been made by Lauer (2006).<br />

148

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