  The Keystroke Level Model (KLM) and Fitts Law constitute core teaching
subjects in most HCI courses, as well as many courses on software design and
evaluation. The KLM Form Analyzer (KLM_FA) has been introduced as a
practitioner s tool to facilitate web form design and evaluation, based on
these established HCI predictive models. It was also hypothesized that KLMFA
can also be used for educational purposes, since it provides step by step
tracing of the KLM modeling for any web form filling task, according to various
interaction strategies or users characteristics. In our previous work, we found
that KLM-FA supports teaching and learning of HCI modeling in the context of
distance education. This paper reports a study investigating the learning
effectiveness of KLM-FA in the context of campus-based higher education.
Students of a software quality course completed a knowledge test after the
lecture- based instruction (pre-test condition) and after being involved in a
KLMFA mediated learning activity (post-test condition). They also provided
posttest ratings for their educational experience and the tool s usability.
Results showed that KLM-FA can significantly improve learning of the HCI
modeling. In addition, participating students rated their perceived educational
experience as very satisfactory and the perceived usability of KLM-FA as good
to excellent.
