Lena Pareto deltar i AIED konferensen 15th International Conference on Artificial Intelligence in Education, in Auckland, Nya Zeeland, och presenterar tillsammans med kollegorna Björn Sjödén, Betty Tärning samt Agneta Gulz från Lund Universitet följande artikel: Transferring Teaching to Testing – An Unexplored Aspect of Teachable Agents.

Tillsammans med kollegorna Annika Silvervarg från Linköping Universitet, Magnus Haake, Thomas Strandberg samt Agneta Gulz  från Lund Universitet presenterar Lena följande artikel: An Educational Math Game with a Teachable Agent and a Social Chat.

Med kollegorna Tobias Arvemo  från Högskolan Väst, Ylva Dahl från Uddevalla Skolor, Magnus Haake samt Agneta Gulz  från Lund Universitet, presenterar hon: A Teachable-Agent Arithmetic Game’s effects on Mathematics Understanding, Attitude and Self-Efficacy.

”Forskning och pedagogik går hand i hand när Wallenbergsstiftelsen storsatsar på matematik och IT i Uddevalla. Genom ett anslag på 1,2 miljoner kronor sätter IT-hungriga lärare Forshällaskolan på kartan.”
Tidningsartikel Bohusläningen, Del 2, fredag 26 september 2008 » Läs mer

Lena Pareto är på ACM SIGACCESS konferensen Conference on Computers and Accessibility in Baltimore, USA, och presenterar följande artikel: Graphical Arithmetic for Learners with Dyscalculia.

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.

Idag har vi vår kreativa workshop tillsammans med 5 lärare från Lane Ryr skola. 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 ser ut som följande:
Åk 1
Vald utmaning
10-kompisar, ”Hemlig agent”
Valt mål
Att få klassen helt säkra på 10-kompisar samt se sambandet mellan 10-kompisar i spelet och boken/verkligheten
Valt upplägg (klicka på bilden för förstoring)

Åk 2
Vald utmaning
Lära barnen att generalisera
Valt mål
Kunna tiotalsövergångar även på större tal
Valt upplägg (klicka på bilden för förstoring)

Åk 3
Vald utmaning
Tiotals- och hundratalsövergångar
Valt mål
Tiotalsövergångar
Valt upplägg (klicka på bilden för förstoring)

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