”Högskolan Väst i Trollhättan har tillsammans med Stanford University och Lunds universitet fått 1,2 miljoner kronor för att utveckla grundskolans matematikundervisning med hjälp av IT och digitala whiteboard.”
Tidningsartikel Elektronik i Norden, 15/2008, fredag 17 oktober 2008 » Läs mer på s. 25

”Lågstadieelever kan bli bättre i matte än vad mycket äldre elever är idag. Lena Magnusson , matematik-, pedagogik- och datorvetare på Orust är säker på sin sak. Hon har ett år på sig att ta fram ett datorprogram som visar att hon har rätt.”
Tidningsartikel Bohusläningen, fredag 29 maj 1998, » Läs mer

”Konkret, Lekfullt. Roligt. Det är några omdömen om Rutiga familjen, ett grafiskt, digitalt matematikprogram som ger eleverna en djupare förståelse för positiva och negativa tal, decimalsystemet och de fyra räknesätten. Detta är ett annat sätt att se på matte, och programmet testas nu på Forshällaskolan utanför Uddevalla.”
Publicering: Räkna med Rutiga Familjen i Vestlin, Lena (red.)
Från wikis till mattefilmer – om IKT i skolan, s.47-52. Stockholm: Lärarförbundets förlag, 2009 » 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.

Rutiga Familjen har fått sin egen YouTube kanal! På begäran har vi gjort några korta instruktionsfilmer och vi hoppas de kan vara till hjälp. Instruktionsfilmerna är grundläggande och hjälper dig att komma igång, bekanta dig med menyerna, spela en del av spelen, räknesätten och spelmoden, mm.

Du lär dig spela:

• Hitta Paret upp till 10, 20, 100 med addition eller med både addition och subtraktion.
• Hitta Paret upp ner till 10, 20 med positiva och negativa tal med addition eller med både addition och subtraktion.
• Tiokompis där spelarna spelar med varandra.
• Inom Repet upp till 10, 100, 1000 där spelarna spelar mot varandra,

Håll utskick, det kommer flera instruktionsfilmer! Har du ett google konto, kan du prenumerera på RF:s kanal och automatiskt få de senaste upplagda instruktionsfilmerna i ditt nyhetsflöde på YouTube.

Till AIED konferensen 15th International Conference on Artificial Intelligence in Education, in Auckland, Nya Zeeland, presenterade Annika Silvervarg (Linköping Universitet) och kollegorna Lena Pareto, Magnus Haake, Thomas Strandberg samt Agneta Gulz (Lund Universitet) följande artikel 2011: An Educational Math Game with a Teachable Agent and a Social Chat (eftersom artikeln publiceras internationellt, är den på engelska.)
Abstrakt: We present an educational math game, including a teachable agent and a social chat, that trains basic arithmetic skills with a focus on grounding base-ten concepts in spatial representations. It employs a board-game design with a variety of different sub-games, game modes and levels of difficulty. [...] In other words, the basic game with the TA contains a form of on-task conversation between agent and student. But the game architecture also has been extended with a chat where the student can engage in conversation with the TA, writing freely by means of the keyboard and bring up basically any topic in a chat-like manner. [...] One reason to include off-task conversation is to enrich the game and its motivational qualities for the age group in question (12-14 year olds). Another is to be able to explore whether such a conversational module can enable pedagogical interventions, such as supporting pupils math self efficacy and change negative attitudes toward math in general. » Läs mer