Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Henri Heiskanen"'
Publikováno v:
Journal of Early Childhood Education Research, Vol 12, Iss 2 (2023)
Varhaiskasvatuksen opettajien työ niin Suomessa kuin muuallakin maailmassa on alkanut sisältää aikaisempaa enemmän myös johtajuuden tehtäviä. Muutosta selittää pedagogiikan painottuminen varhaiskasvatuksen perustehtävässä sekä lisäänt
Externí odkaz:
https://doaj.org/article/a11e36cfc9464b32aec76c6f0efd398e
Publikováno v:
LUMAT, Vol 10, Iss 1 (2022)
Tutkimuksessa selvitetään matematiikan pedagogiikan kurssille osallistuneiden luokanopettajaopiskelijoiden (n = 122) motivaation yhteyttä ViLLE-oppimisympäristössä tapahtuvaan matematiikan opiskeluun erityyppisten tehtävien tekemisen ja ajank
Externí odkaz:
https://doaj.org/article/9b92a9568dcd470588c1cbf161985cad
Autor:
Asko Relas, Christian Guckelsberger, Henri Heiskanen, Shaghayegh Roohi, Jari Takatalo, Perttu Hämäläinen
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-17
This paper presents a novel approach to automated playtesting for the prediction of human player behavior and experience. We have previously demonstrated that Deep Reinforcement Learning (DRL) game-playing agents can predict both game difficulty and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a5d500e26d040f7cbb39078ad5ab7fc
https://doi.org/10.1145/3474658
https://doi.org/10.1145/3474658
Publikováno v:
Educational Management Administration & Leadership. :174114322311682
Expectations regarding team leadership in early childhood education (ECE) have grown in recent decades, both in Finland and elsewhere in the world. This change can be seen through the increased research knowledge regarding the importance of pedagogic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e76e1c208895d758781beddc7777ef1d
https://doi.org/10.1177/17411432231168234
https://doi.org/10.1177/17411432231168234
Publikováno v:
CHI PLAY
We propose a novel simulation model that is able to predict the per-level churn and pass rates of Angry Birds Dream Blast, a popular mobile free-to-play game. Our primary contribution is to combine AI gameplay using Deep Reinforcement Learning (DRL)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb006480e0f880045ddb37ebfa1e7213
https://aaltodoc.aalto.fi/handle/123456789/101628
https://aaltodoc.aalto.fi/handle/123456789/101628
Autor:
Asterios Katsifodimos, Volker Markl, Jeyhun Karimov, Henri Heiskanen, Tilmann Rabl, Roman Samarev
Publikováno v:
2018 IEEE 34th International Conference on Data Engineering (ICDE)
Proceedings-IEEE 34th International Conference on Data Engineering, ICDE 2018
Proceedings-IEEE 34th International Conference on Data Engineering, ICDE 2018
The need for scalable and efficient stream analysis has led to the development of many open-source streaming data processing systems (SDPSs) with highly diverging capabilities and performance characteristics. While first initiatives try to compare th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e4eb7d13fd699676b42d67bdd433036
Publikováno v:
ICST
The fact that model-based testing has not yet attained a high rate of adoption in industry can in part be attributed to the perceived difficulty of debugging long error traces often produced by the online version of this technology. Given the extensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::317174805e3bb9024976a053b60d6716
https://doi.org/10.1109/icst.2010.36
https://doi.org/10.1109/icst.2010.36
Autor:
Henri Heiskanen, Antti Kervinen, Tuula Pääkkönen, Mika Maunumaa, Antti Jääskeläinen, Mika Katara
Publikováno v:
Testing of Software and Communicating Systems ISBN: 9783540685142
TestCom/FATES
TestCom/FATES
Model-based testing (MBT) seems to be technically superior to conventional test automation. However, MBT features some difficulties that can hamper its deployment in industrial contexts. We are developing a domain-specific MBT solution for graphical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dde11c847c3700c8305cf754e6fb6d5
https://doi.org/10.1007/978-3-540-68524-1_5
https://doi.org/10.1007/978-3-540-68524-1_5