Výsledky vyhledávání - "Millán, Eva"

Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning

Autor: Rușeți, Ștefan, Lala, R., Gutu-Robu, Gabriel, Dascălu, Mihai, Jeuring, J.T., Van Geest, Marcell, Isotani, Seiji, Millán, Eva, Ogan, Amy, Hastings, Peter, McLaren, Bruce, Luckin, Rose

Publikováno v: Rușeți, Ș, Lala, R, Gutu-Robu, G, Dascălu, M, Jeuring, J T & Van Geest, M 2019, Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning . in S Isotani, E Millán, A Ogan, P Hastings, B McLaren & R Luckin (eds), Artificial Intelligence in Education : 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II . vol. 2, Springer, Cham, Lecture Notes in Computer Science, vol. 11626, pp. 242-246, 20th International Conference on Artificial Intelligence in Education, Chicago, Illinois, United States, 25/06/19 . https://doi.org/10.1007/978-3-030-23207-8_45
Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II, 2, 242-246
Lecture Notes in Computer Science ISBN: 9783030232061
AIED (2)

Gamification is frequently employed in learning environments to enhance learner interactions and engagement. However, most games use pre-scripted dialogues and interactions with players, which limit their immersion and cognition. Our aim is to develo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e70c5e0bd023321537ace4892b612009
https://doi.org/10.1007/978-3-030-23207-8_45

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Real-Time Multimodal Feedback with the CPR Tutor

Autor: Di Mitri, D., Schneider Barnes, J., Trebing, Kevin, Sopka, Sasa, Specht, M.M., Drachsler, H.J., Bittencourt, Ig Ibert, Cukurova, Mutlu, Muldner, Kasia, Luckin, Rose, Millán, Eva

Publikováno v: Di Mitri, D, Schneider Barnes, J, Trebing, K, Sopka, S, Specht, M M & Drachsler, H J 2020, Real-Time Multimodal Feedback with the CPR Tutor . in I I Bittencourt, M Cukurova, K Muldner, R Luckin & E Millán (eds), Artificial Intelligence in Education : 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part I . vol. 1, Springer International Publishing, Cham, Lecture Notes in Computer Science (LNCS) series, vol. 12163, Lecture Notes in Artificial Intelligence (subseries), vol. 12163, pp. 141-152, 21st International Conference on Artificial Intelligence in Education, Unknown, 6/07/20 . https://doi.org/10.1007/978-3-030-52237-7_12
Artificial Intelligence in Education: 21st International Conference, AIED 2020, Ifrane, Morocco, July 6–10, 2020, Proceedings, Part I, 1, 141-152
Artificial Intelligence in Education-21st International Conference, AIED 2020, Proceedings, Part I: 21st International Conference, AIED 2020, Proceedings, Part I
Artificial Intelligence in Education-21st International Conference, AIED 2020, Proceedings, Part I
Lecture Notes in Computer Science ISBN: 9783030522360
AIED (1)

We developed the CPR Tutor, a real-time multimodal feedback system for cardiopulmonary resuscitation (CPR) training. The CPR Tutor detects mistakes using recurrent neural networks for real-time time-series classification. From a multimodal data strea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb8988d6e318613cdf902fe85a5e852
https://hdl.handle.net/1820/4d3e26c2-6af1-4a90-904b-816aad7ded68

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Automated feedback on the structure of hypothesis tests

Autor: Tacoma, Sietske, Heeren, Bastiaan, Jeuring, Johan, Drijvers, Paul, Goebel, Randy, Tanaka, Yuzuru, Wahlster, Wolfgang, Siekmann, Jörg, Isotani, Seiji, Millán, Eva, Ogan, Amy, Hastings, Peter, McLaren, Bruce, Luckin, Rose

Hypothesis testing is a challenging topic for many students in introductory university statistics courses. In this paper we explore how automated feedback in an Intelligent Tutoring System can foster students’ ability to carry out hypothesis tests.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::06a7b6e83d77cc85c08f916b56688a00
https://dspace.library.uu.nl/handle/1874/394066

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Model-based characterization of text discourse content to evaluate online group collaboration

Autor: Adeniran, Adetunji, Masthoff, Judith, Beacham, Nigel, Isotani, Seiji, Millán, Eva, Ogan, Amy, McLaren, Bruce, Hastings, Peter, Luckin, Rose

This paper presents a model that characterizes textual discourse contents of online groups and provides a visualization of the level of collaboration within groups. This approach is envisioned to provide an insight into a real-time intervention to sc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::8d58cf5a514959a89950b7bf4778ec4e
https://dspace.library.uu.nl/handle/1874/390762

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Group formation for collaborative learning: A systematic literature review

Autor: Odo, Chinasa, Masthoff, Judith, Beacham, Nigel, Isotani, Seiji, Millán, Eva, Ogan, Amy, McLaren, Bruce, Hastings, Peter, Luckin, Rose

This paper presents a systematic literature review (SLR) that investigates group formation, as a first step towards automated group formation for collaborative learning. Out of 105 papers selected for review, after using specific selection and a qual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::eddf9619bc9e7c34c9d0f26522a97861
https://dspace.library.uu.nl/handle/1874/390761

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Group Formation for Collaborative Learning

Autor: Odo, Chinasa, Masthoff, Judith, Beacham, Nigel, Isotani, Seiji, Millán, Eva, Ogan, Amy, McLaren, Bruce, Hastings, Peter, Luckin, Rose, Sub Human-Centered Computing, Human-Centered Computing

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030232061
AIED (2)
Artificial Intelligence in Education-20th International Conference, AIED 2019, Proceedings, 11626 LNAI, 206. Springer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::287ab3bd315c720f0a5133a1bb3bbb65
https://doi.org/10.1007/978-3-030-23207-8_39

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