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

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

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.

”Sveriges bästa uppsats i systemvetenskap skrevs av studenten Ann Nilsson från Högskolan Väst. Därför tilldelas hon årets BEST-stipendium för uppsatsen Lärsituationens komplexitet för elever som upplever svårigheter i matematik – Rutiga Familjen i ny lärmiljö.”
Pressrelease JUSEK, lördag 14 november 2009 » Läs mer

Lena Magnusson medverkar i den 11:e Matematikbiennalen i Göteborg. Hon presenterar matematikspelet Rutiga Familjen under ett seminarium och tar emot intressenter i ett eget utställningsmonter.

I montern finns RF:s broschyr att hämta.

Idag har vi vår första kreativa workshop tillsammans med 12 lärare från Dalabergsskolan. Lärarna arbetar utifrån vad klassen arbetar med, hur klassen arbetar med det, vilka mål som styr och vilka utmaningar som finns. Sedan väljer varje årskurs en utmaning och ett mål att arbeta utifrån under tre lektioner där eleverna spelar med matematikspelet Rutiga Familjen.

Utmaningarna och målen som valdes per årskurs samt lektionernas upplägg (mål, innehåll, val av spelpartner) ser ut som följande:
Spår 1 ÅK 1-2
Vald utmaning
-
Valt mål
10-kamraterna
Valt upplägg (klicka på bilden för förstoring)

Spår 1 ÅK 3-5
Vald utmaning
-
Valt mål
Förstå och använda 10-kompisar
Valt upplägg (klicka på bilden för förstoring)

Spår 2 & 3 ÅK 1-3
Vald utmaning
Svårt att få eleverna att förstå likamedtecknets betydelse
Valt mål
Att förstå vad likamedtecknet betyder
Istället för att planera in sina tre lektioner, utvecklade lärarna en ny spelidé som har resulterat i flera nya spel!

Spår 2 & 3 ÅK 2-5
Vald utmaning
Att eleverna ska bli säkra på multiplikationstabeller. Att kunna använda multiplikation i problemlösning: area, räknesagor
Valt mål
Kunna koppla multiplikationstabellen med areaberäkning
Valt upplägg (klicka på bilden för förstoring)

Spår 4 & 5  ÅK 1-3 & lilla gruppen
Vald utmaning
Öppna utsagor t ex: 7 + _ = 10 och 10  – _ = 4
Valt mål
Kunna 10-kamraterna utan att tveka
Valt upplägg (klicka på bilden för förstoring)