Outputs (25)

Automatic creating variation of CS1 assignments and exams (2021)
Presentation / Conference Contribution
Pereira, F. D., Júnior, H. B. D. F., Oliveira, E. H. T. D., Carvalho, L. S. G. D., Oliveira, D. B. F. D., Benedict, A., Dorodchi, M., & Cristea, A. I. (2021, April). Automatic creating variation of CS1 assignments and exams. Presented at Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (EDUCOMP Estendido 2021), Online

Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners (2021)
Presentation / Conference Contribution
Pereira, F. D., Oliveira, E. H. T. D., Oliveira, D. B. F. D., Carvalho, L. S. G. D., & Cristea, A. I. (2021, April). Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners. Presented at Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (EDUCOMP Estendido 2021), Online

Building predictive models to estimate the learner performance in the beginning of CS1 courses is essential in education to allow early interventions. However, the educational literature notes the lack of studies on early learner behaviours that can... Read More about Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners.

COVID-19’s Impact on the Telecommunications Companies (2021)
Presentation / Conference Contribution
Almuqren, L., & Cristea, A. I. (2021, December). COVID-19’s Impact on the Telecommunications Companies. Presented at World Conference on Information Systems and Technologies

Now the world is witnessing most significant challenges due the Covid-19 crisis. Beyond health effects, it has social and economic effects. With the enormous amount of data available and the widespread use of social web globally, research can and sho... Read More about COVID-19’s Impact on the Telecommunications Companies.

Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs (2021)
Journal Article
Alshehri, M., Alamri, A., Cristea, A. I., & Stewart, C. D. (2021). Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. International Journal of Artificial Intelligence in Education, 31(2), 215-233. https://doi.org/10.1007/s40593-021-00246-2

Since their ‘official’ emergence in 2012 (Gardner and Brooks 2018), massive open online courses (MOOCs) have been growing rapidly. They offer low-cost education for both students and content providers; however, currently there is a very low level of... Read More about Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs.

Towards a Human-AI hybrid system for categorising programming problems (2021)
Presentation / Conference Contribution
Pereira, F. D., Piris, F., Cristo da Fonseca, S., Cristea, A., Oliveira, E. H., Carvalho, L., & Fernandes, D. (2021, March). Towards a Human-AI hybrid system for categorising programming problems. Presented at SIGCSE Technical Symposium

As programming skills are increasingly required world-wide and across disciplines, many students use online platforms that provide automatic feedback through a Programming Online Judge (POJ) mechanism. POJs are very popular e-learning tools, boasting... Read More about Towards a Human-AI hybrid system for categorising programming problems.