”Uddevalla slog storslam i regeringens mattesatsning. En speciell satsning i staden får 2,5 miljoner kronor i bidrag från Skolverket, vilket är det tredje största i Sverige.”
Tidningsartikel Bohusläningen, onsdag 6 april 2011 » Läs mer

FAS I i Skolverkets ”Matematiksatsning 2011” dras igång med det första av 4 presentationsmöten, där deltagande skolor introduceras till Skolverkets matematiksatsning i Uddevalla.

Under mötet presenterar Lena Pareto detta 2 årsprojekt samt matematikspelet Rutiga Familjen. Även Kjell Svanström, projektets koordinator och lärare på Dalabergsskolan, kunnig inom Rutiga Familjen-konceptet genom Wallenbergsatsningen, presenterar sig och sin funktion inom projektet.

Först på tur är Dalabergsskolan och Hovhultskolan!

Till AIED International Conference on Artificial Intelligence in Education, in Brighton, Storbritannien, presenterade Lena Pareto följande artikel 2009: Teachable Agents that Learn by Observing Game Playing Behavior (eftersom artikeln publiceras internationellt, är den på engelska.)
Abstrakt:  An educational game in mathematics targets cognitive skills oincluding pattern finding and generalization from example by teaching an agent. These can be difficult for young children, let alone teaching about them. Therefore, we have designed a new way of teaching an agent, the teach-by-guiding model. We describe the model and its basic implementation. Because this is a work-inprogress, we end by raising questions of how such an agent is perceived, and in what respect it may differ from other pedagogical agents. » Läs mer på s.31

En ny artikel ”A Teachable Agent Game Engaging Primary School Children to Learn Arithmetic Concepts and Reasoning” har publicerats i en internationell tidskrift om intelligenta spel och andra digitala verktyg i skolmiljö: International Journal of Artificial Intelligence in Education av Springer

(eftersom artikeln publiceras internationellt, är den på engelska).
Abstrakt:  In this paper we will describe a learning environment designed to foster conceptual understanding and reasoning in mathematics among younger school children. The learning environment consists of 48 2-player game variants based on a graphical model of arithmetic where the mathematical content is intrinsically interwoven with the game idea. The environment also features teachable agents, which are computer programs that can be taught and behave according to their knowledge. Thus, the environment provides both learning-by-doing (playing the game) and learning-by-teaching (teaching the agent to play). It differs from other learning-by-teaching systems 1) by targeting basic mathematics and primary grade students; 2) by using teachable agents as an extension to educational games in order to leverage engagement, reflection and learning; and 3) by using an agent-driven question dialogue to challenge students’ mathematical thinking, to role-model learner behaviour and to transfer game knowledge to out-of-game mathematics. The teachable agent game is described and evaluated in an authentic classroom study enrolling 443 students from 22 classes in 9 schools. Students range from 2^nd to 6^th grade of mainstream classes and 7^th to 8^th grade for students with difficulties in mathematics. Part of the study was designed as a quasi-experimental study with controls; part was designed to examine students’ change in mental models of arithmetic before and after game play. All students took pre- and post mathematics tests. The 314 playing students used the game and taught their agents during regular math-classes for three months, whereas the control classes attended standard instruction and took the tests. A questionnaire was distributed in the end of the study to investigate students’ perceptions and performances of the agent-tutoring task. Results show that 1) there is a significant learning gain for playing student compared to controls, 2) the learning environment can engage children in advanced mathematical thinking in early education, 3) that young primary students can act as successful tutors. Thus, we conclude that teachable agents is a candidate for leveraging learning in educational games to deeper levels that transfer outside the game. This idea combines the motivational power of games with the reflective power of a teachable agent asking though-provoking, deep questions on the learning material during game play.

Pareto, L. (2014). A Teachable Agent Game Engaging Primary School Children to Learn Arithmetic Concepts and Reasoning. In International Journal of Artificial Intelligence in Education, Volume 24, Issue 3, pp 251-283. Springer New York.

Kjell Mäki, rektor på Gränsskolan i Haparanda och kommunens matematikutvecklare tipsar om matematikspelet Rutiga Familjen på Haparanda Stads webbplats.

Läs om tipset

Pia Börjesson, IKT pedagog i Majorna Linné i Göteborg, tipsar om spelet Rutiga Familjen och länkar till Sveriges Radio reportage om elever och lärare från Hovhultsskolan i Uddevalla som använder Rutiga Familjen  i matematikundervisningen.

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