| Prediction of users’ professional profile in moocs only by utilising learners’ written texts T Aljohani, FD Pereira, AI Cristea, E Oliveira International Conference on Intelligent Tutoring Systems, 163-173, 2020 | 11 | 2020 |
| Predicting Learners' Demographics Characteristics: Deep Learning Ensemble Architecture for Learners' Characteristics Prediction in MOOCs T Aljohani, AI Cristea Proceedings of the 2019 4th International Conference on Information and …, 2019 | 9 | 2019 |
| Learners demographics classification on MOOCs during the COVID-19: author profiling via deep learning based on semantic and syntactic representations T Aljohani, AI Cristea Frontiers in Research Metrics and Analytics, 34, 2021 | 5 | 2021 |
| Author profiling: prediction of learners’ gender on a mooc platform based on learners’ comments T Aljohani, J Yu, AI Cristea International Journal of Computer and Information Engineering 14 (1), 29-36, 2014 | 2 | 2014 |
| Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification T Aljohani, AI Cristea International Conference on Intelligent Tutoring Systems, 136-147, 2021 | 1 | 2021 |
| Prediction of Users’ Professional Profile in MOOCs Only by Utilising Learners’ Written Texts E Oliveira Intelligent Tutoring Systems: 16th International Conference, ITS 2020 …, 2020 | | 2020 |
| Predicting Learners' Demographics Characteristics T Aljohani, AI Cristea | | |
Alexandra I CristeaProfessor of Computer Science, University of Durham, UKE-mail confirmado em durham.ac.uk
