Primary and Secondary Schools. The winners were presented in a special ceremony
held during the ECSS 2013 in Amsterdam, The Netherlands. Two teams from
Eastern/Central Europe (Romania: Sapientia Hungarian University of Transylvania;
Poland: Warsaw School of Computer Science) shared that year’s award. The official
website of Informatics Europe states:
The evaluation committee praised the originality of the proposal by Zoltan
Kátai, László Tóth, and Alpár Károly Adorjáni: Multi-Sensory Informatics Education.
Mixing algorithm-learning with sensory experience is a very innovative teaching
experiment. The key concept of this proposal is Computer Science (CS) education
for all, using a creative approach. The committee was impressed and appreciated
this approach of abstracting away almost all details that might hinder understand¬
ing the idea or principle of an algorithm or a paradigm. The enactments thus not
only can be used flexibly in teaching environments irrespective of a particular
programming or spoken-language but can be used as a starting point for the teacher
to drill down into more technical concepts. Another particularity of the project is
its inter-cultural character — sorting algorithms illustrated by Central European folk
dancing (Informatics Europe, 2013).
In the years since 2013, the AlgoRythmics project has expanded in a number
of areas. In this book, we provide a brief description of our fifteen-year research on
the topic of technologically and artistically enhanced multi-sensory computer-pro¬
gramming education. This overview is based on the following research papers:
— On the role of senses in education (Kätai, Juhäsz, & Adorjäni, 2008);
— Technologically and artistically enhanced multi-sensory computer-program¬
ming education (Kátai g Tóth, 2010);
— Multi-sensory method for teaching-learning recursion (Kátai, 2011);
— Selective hiding for improved algorithmic visualization (Kátai, 2014a);
— Intercultural Computer Science education (Katai, 2014b);
— The challenge of promoting algorithmic thinking of both sciences- and hu¬
manities-oriented learners (Katai, 2015);
— Promoting computational thinking of both sciences- and humanities-oriented
students: An instructional and motivational design perspective (Katai, 2020);
— Algorithm visualization environments: Degree of interactivity as an influence
on student learning (Osztiän, Kätai, & Osztiän, 2020).