Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Tahani Aljohani"'
Autor:
Tahani Aljohani, Alexandra I. Cristea
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 6 (2021)
Massive Open Online Courses (MOOCs) have become universal learning resources, and the COVID-19 pandemic is rendering these platforms even more necessary. In this paper, we seek to improve Learner Profiling (LP), i.e. estimating the demographic charac
Externí odkaz:
https://doaj.org/article/d65d5a67716b4e49a131c1e3afd6844d
Publikováno v:
Mercedes Rodrigo, Maria & Matsuda, Noburu & Cristea, Alexandra I. & Dimitrova, Vania (Eds.). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. : Springer, pp. 424-427, Lecture Notes in Computer Science, Vol.13356
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469
Deciding upon instructor intervention based on learners’ comments that need an urgent response in MOOC environments is a known challenge. The best solutions proposed used automatic machine learning (ML) models to predict the urgency. These are ‘b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1024aca8bc97dded636fd47e9f822721
http://dro.dur.ac.uk/37036/
http://dro.dur.ac.uk/37036/
Publikováno v:
Mercedes Rodrigo, Maria & Matsuda, Noburu & Cristea, Alexandra I. & Dimitrova, Vania (Eds.). Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. : Springer, pp. 396-399, Lecture Notes in Computer Science, Vol.13356
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469
Automatically identifying the learner gender, which serves as this paper’s focus, can provide valuable information to personalised learners’ experiences in MOOCs. However, extracting the gender from learner-generated data (discussion forum) is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::867bab6500b860cf22de256eb19f6c3e
http://dro.dur.ac.uk/37033/1/37033.pdf
http://dro.dur.ac.uk/37033/1/37033.pdf
Autor:
Tahani Aljohani, Alexandra I. Cristea
Publikováno v:
Cristea, Alexandra I. & Troussas, Christos (Eds.). Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. : Springer, pp. 136-147, Lecture Notes in Computer Science, Vol.12677(12677)
Intelligent Tutoring Systems ISBN: 9783030804206
ITS
Intelligent Tutoring Systems ISBN: 9783030804206
ITS
Massive Open Online Courses (MOOCs) have become universal learning resources, and the COVID-19 pandemic is rendering these platforms even more necessary. These platforms also bring incredible diversity of learners in terms of their traits. A research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc23eaf987f3e4517a03b8a26f94212e
https://doi.org/10.1007/978-3-030-80421-3_17
https://doi.org/10.1007/978-3-030-80421-3_17
The more an educational system knows about a learner, the more personalised interaction it can provide, which leads to better learning. However, asking a learner directly is potentially disruptive, and often ignored by learners. Especially in the boo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56af5f88f0668f2eb5314f92c6eb0195
Autor:
Tahani Aljohani, Ning Zhang
Publikováno v:
Critical Information Infrastructures Security ISBN: 9783030582944
CRITIS
CRITIS
Mobile patient monitoring systems monitor and treat chronic diseases by collecting health data from wearable sensors through mobile devices carried out by patients. In the future, these systems may be hosted by a third-party service provider. This wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f2236d91de6607d05f54823b6311b52
https://doi.org/10.1007/978-3-030-58295-1_7
https://doi.org/10.1007/978-3-030-58295-1_7
Autor:
Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani, Elaine Harada Teixeira de Oliveira
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783030496623
ITS
ITS
Identifying users’ demographic characteristics is called Author Profiling task (AP), which is a useful task in providing a robust automatic prediction for different social user aspects, and subsequently supporting decision making on massive informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a39b16ac904120e2f3c653d18faf9a56
https://doi.org/10.1007/978-3-030-49663-0_20
https://doi.org/10.1007/978-3-030-49663-0_20
Autor:
Tahani Aljohani, Ning Zhang
Publikováno v:
EasyChair Preprints.
Third-party based mobile health monitoring systems are vulnerable to threats not only imposed by outsiders but also authorized insiders, e.g. employees of the third-party service provider. This paper examines issues in this context and proposes a nov
Autor:
Tahani Aljohani, Alexandra I. Cristea
Publikováno v:
Proceedings of the 2019 4th International Conference on Information and Education Innovations - ICIEI 2019.
Author Profiling (AP), which aims to predict an author's demographics characteristics automatically by using texts written by the author, is an important mechanism for many applications, as well as highly challenging. In this research, we analyse var
This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022.The 40 full papers and 40 short papers presented t