Exploring the Working and Effectiveness of Norm-Model Feedback in Conceptual Modelling – A Preliminary Report

Autor: Spitz, Loek, Kragten, Marco, Bredeweg, Bert, Roll, I, McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V.

Publikováno v: Artificial Intelligence in Education: 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021 : proceedings, II, 325-330
Artificial Intelligence in Education: 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14–18, 2021 : proceedings, LNCS 12749(II), 325-330
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)

Having learners (K7–10) acquire system thinking skills is challenging. Together with teachers we deploy qualitative representations of complex systems to enable this learning process. Teachers select their own topics for their leaners to work on wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13b9919cea0a71b596c567ad1920a080
https://doi.org/10.1007/978-3-030-78270-2_58

Reading Comprehension Quiz Generation using Generative Pre-trained Transformers

Autor: Dijkstra, R., Genç, Z., Kayal, S., Kamps, J., Sosnovsky, S., Brusilovsky, P., Lan, A.

Publikováno v: Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022: co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022) : Durham, UK, July 27, 2022, 4-17
STARTPAGE=4;ENDPAGE=17;TITLE=Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022

Recent advances in AI have resulted in large pre-trained language models with superior performance on text generation tasks, prompting the question of whether we can use them to generate educationally useful text completions. This holds the potential

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3879fe765362a24e1a435e31a1724270
https://dare.uva.nl/personal/pure/en/publications/reading-comprehension-quiz-generation-using-generative-pretrained-transformers(a1109043-92d4-4c63-be33-6e238780d3b7).html

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Towards a Bayesian Student Model for Detecting Decimal Misconceptions

Autor: Goguadze, G., Sosnovsky, S., Seiji Isotani, Mclaren, B. M.

Publikováno v: Goguadze, G, Sosnovsky, S, McLaren, B & Isotani, S 2011, Towards a Bayesian Student Model for Detecting Decimal Misconceptions . in F-Y Yu, T Hirashima, T Supnithi & G Biswas (eds), Proceedings of the 19th International Conference on Computers in Education, ICCE 2011 : ICCE 2011 . Asia-Pacific Society for Computers in Education, Chiang Mai, pp. 34-41, 19th International Conference on Computers in Education-ICCE 2011, Chiang Mai, Thailand, 28.11.11 . < http://www.cs.cmu.edu/~bmclaren/pubs/GoguadzeEtAl-AdaptErrExBayesNetAnalysis-ICCE2011.pdf >
Scopus-Elsevier
Goguadze, G, Sosnovsky, S, McLaren, B & Isotani, S 2011, Towards a Bayesian Student Model for Detecting Decimal Misconceptions . in F-Y Yu, T Hirashima, T Supnithi & G Biswas (eds), In Proceedings of the 19th International Conference on Computers in Education (ICCE 2011) : ICCE 2011 . Asia-Pacific Society for Computers in Education, Chiang Mai, pp. 34-41, 19th International Conference on Computers in Education-ICCE 2011, Chiang Mai, Thailand, 28.11.11 .

This paper describes the development and evaluation of a Bayesian network model of student misconceptions in the domain of decimals. The Bayesian model supports a remote adaptation service for an intelligent tutoring system within a project focused o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::555e00b3b16bcce41d1a07ccc156f86d
https://pure.leuphana.de/ws/files/15221538/GoguadzeEtAl_AdaptErrExBayesNetAnalysis_ICCE2011.pdf