Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs

Autor: Laila Alrajhi, Alexandra I. Cristea

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031328824

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bc30405d9a5b2e3b5fde6bc84388761
https://doi.org/10.1007/978-3-031-32883-1_57

A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs

Autor: Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani

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

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/

Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs

Autor: Tahani Aljohani, Alexandra I. Cristea, Laila Alrajhi

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

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

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums

Autor: Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Lei Shi, Alexandra I. Cristea, Jialin Yu

Publikováno v: Intelligent Tutoring Systems, Athens, Greece / Virtual, 7-11 Jun 2021 [Conference proceedings]
Intelligent Tutoring Systems ISBN: 9783030804206
ITS

Massive Open Online Courses (MOOCs) have become a popular choice for e-learning thanks to their great flexibility. However, due to large numbers of learners and their diverse backgrounds, it is taxing to offer real-time support. Learners may post the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b4a889b08224d93758eb8d18b45c65b
http://dro.dur.ac.uk/32843/

Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs

Autor: Seiji Isotani, Alexandra I. Cristea, Laila Alrajhi, Ig Ibert Bittencourt, Khulood Alharbi, Annie James

Publikováno v: Intelligent Tutoring Systems ISBN: 9783030496623
ITS
Kumar, Vivekanandan & Troussas, Christos (Eds.). Intelligent Tutoring Systems. : Springer, pp. 142-151, Lecture Notes in Computer Science, Vol.12149

Welfare and economic development is directly dependent on the availability of highly skilled and educated individuals in society. In the UK, higher education is accessed by a large percentage of high school graduates (50% in 2017). Still, in Brazil,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63016f0cf9ac12f9f41b01b8a3a56d85
https://doi.org/10.1007/978-3-030-49663-0_18