On the joint use of Artificial Intelligence and Brain-Imaging Techniques in Technology-enhanced Learning Environments: A Systematic Literature Review.

Autor: Tenório, Kamilla¹ kktas@ic.ufal.br, Santos, Jário² jariojj@usp.br, Accete, Victor¹ victoraccete@ic.ufal.br, Remigio, Sterfanno¹ ssrc@ic.ufal.br, Pedro da Silva, Alan¹ alanpedro@ic.ufal.br, Dermeval, Diego¹ diego.matos@famed.ufal.br, Ibert Bittencourt, Ig¹ ig.ibert@ic.ufal.br, Brandão Marquesq, Leonardo¹ leonardo.marques@cedu.ufal.br

Publikováno v: Revista Brasileira de Informática na Educação. 2021, Vol. 29, p502-518. 17p.

Helping Teachers Assist Their Students in Gamified Adaptive Educational Systems: Towards a Gamification Analytics Tool

Autor: Tenório, Kamilla, Chalco Challco, Geiser, Dermeval, Diego, Lemos, Bruno, Nascimento, Pedro, Santos, Rodrigo, Pedro da Silva, Alan

Publikováno v: Artificial Intelligence in Education

In this paper, we present the results of a case study conducted to validate the effectiveness of our gamification analytics model for teachers proposed in [20]. To conduct this case study, we developed a tool to monitor and adapt gamification designs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmc_________::af315c3c45402cf1a2cca30b6ffacd99
http://europepmc.org/articles/PMC7334680

Exploring Design Concepts to Enable Teachers to Monitor and Adapt Gamification in Adaptive Learning Systems: A Qualitative Research Approach.

Autor: Tenório, Kamilla, Dermeval, Diego, Monteiro, Mateus, Peixoto, Aristoteles, Silva, Alan Pedro da

Publikováno v: International Journal of Artificial Intelligence in Education (Springer Science & Business Media B.V.); Dec2022, Vol. 32 Issue 4, p867-891, 25p