Modeling Learners to Early Predict Their Performance in Educational Computer Games

Autor: Danial Hooshyar, Nour El Mawas, Marcelo Milrad, Yeongwook Yang

Publikováno v: IEEE Access, Vol 11, Pp 20399-20417 (2023)

Data mining approaches have proven to be successful in improving learners’ interaction with educational computer games. Despite the potential of predictive modelling in providing timely adaptive learning and gameplay experience, there is a lack of

Externí odkaz: https://doaj.org/article/b5a9c205ce874896bfdc2ae21f4eadc6

Investigating the impact of an adventure-based 3D solar system game on primary school learning process

Autor: Nour El Mawas, Irina Tal, Arghir-Nicolae Moldovan, Diana Bogusevschi, Josephine Andrews, Gabriel-Miro Muntean, Cristina Hava Muntean

Publikováno v: Knowledge Management & E-Learning: An International Journal, Vol 12, Iss 2, Pp 165-190 (2020)

Teachers face many difficulties in the motivation, engagement, and improvement of learning outcomes for students in Science, Technology, Engineering, and Mathematics (STEM). In this paper, we present a research study on the learning experience of a n

Externí odkaz: https://doaj.org/article/30c3a207037b4e31b3188a186060471f

Towards a Machine Learning flow-predicting model in a MOOC context

Autor: Sergio Ramírez Luelmo, Nour El Mawas, Rémi Bachelet, Jean Heutte

Publikováno v: 14th International Conference on Computer Supported Education (CSEDU 2022)
14th International Conference on Computer Supported Education (CSEDU 2022), Apr 2022, Online Streaming, United Kingdom

International audience; Flow is a human psychological state positively correlated to self-efficacy, motivation, engagement, and academic achievement, all of which positively affect learning. However, automatic, real-time flow prediction is quite diff

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1256402d69a6edf92e39ae92e051d98
https://halshs.archives-ouvertes.fr/halshs-03606527

Deep Learner Modelling in Educational Computer Games

Autor: Danial Hooshyar, Nour El Mawas, Yeongwook Yang

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::708d033419babe02b4a44f2e7e887031
https://doi.org/10.2139/ssrn.4288729

Effects of Adaptive Educational Games on Adults’ Computational Thinking

Autor: Nour El Mawas, Danial Hooshyar, Yeongwook Yang

Publikováno v: Communications in Computer and Information Science ISBN: 9783030864385
CSEDU (Selected Papers)
Lecture notes in Communications in Computer and Information Science (CCIS)
H. Chad Lane; Susan Zvacek; James Uhomoibhi. Lecture notes in Communications in Computer and Information Science (CCIS), Springer, pp.162-176, 2020, ⟨10.1007/978-3-030-86439-2_9⟩

International audience; Individuals including adults would mostly need to keep their knowledge and skill updated in order to maintain or advance in their job. Computational Thinking (CT) is considered as one of the 21st century skills that adults mus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b4aa6b199c28168ffaa35c2adb92368
https://doi.org/10.1007/978-3-030-86439-2_9