”En familj vid namn Rutiga familjen har hjälpt eleverna på Hovhultsskolan i Uddevalla att bli bättre på matematik. För i februari i år hakade två av skolans klasser på matematikprojektet Rutiga familjen.”
Sveriges Radio, Nyheter P4 Väst, fredag 8 oktober 2010 » Läs artikeln och lyssna på reportaget

Till AIED konferensen 15th International Conference on Artificial Intelligence in Education, in Auckland, Nya Zeeland, presenterade kollegan Björn Sjödén tillsammans med Lena Pareto, Betty Tärning samt Agneta Gulz (Lund Universitet) följande artikel 2011: Transferring Teaching to Testing – An Unexplored Aspect of Teachable Agents (eftersom artikeln publiceras internationellt, är den på engelska.)
Abstrakt: The present study examined whether socio-motivational effects from working with a Teachable Agent (TA) might transfer from the formative learning phase to a summative test situation. Forty-nine students (9-10 years old) performed a digital pretest of math skills, then played a TA-based educational math game in school over a period of eight weeks. Thereafter, the students were divided into two groups, matched according to their pretest scores, and randomly assigned one of two posttest conditions: either with the TA present, or without the TA. Results showed that low-performers on the pretest improved significantly more on the posttest than did high-performers, but only when tested with the TA. We reason that low-performers might be more susceptible to a supportive social context – as provided by their TA – for performing well in a test situation. » Läs mer

Samhällsanalytiker och frilansskribent Stefan Pålson skriver om Rutiga Familjens forskningsprojekt ”Talking and Seeing Math in Games” på Omvärldsbloggen som sköts av honom och drivs av Skolverket, It i skolan. Han tar upp RF som ett av redan pågående ” intressanta projekt som stakar ut lämpliga vägar för undervisning och lärande.”
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Rutiga Familjen deltar och används i  Lund Universitets projekt  ”Digitala dialoger – interaktion med digitala karaktärer via persondatorer och interaktiva skrivtavlor” som ingår i KK Stiftelsens program Unga Nätkulturer. Projektet handlar om att i samverkan med ungdomar i åldern 12 – 16 år kartlägga skeenden i pedagogiska dialoger mellan ungdomar och digitala karaktärer i digitala läromedel.

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.

Lena Magnusson är på MDI-konferensen Conference on Human Factors in Computing Systems i Los Angeles, USA. I år handlar två av konferensens tre teman om utbildning och underhållning. Lenas mål är att hitta alla nya rön inom forskningen.

Intryck från konferensen:
Det är en mycket intressant och lärorik konferens, även om det visat sig att inget direkt revolutionerande har hänt inom utbildningsområden det senaste året. Men en sak är säker: det är barn och datorer som gäller just nu!