All Outputs (107)

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach (2021)
Journal Article

With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing... Read More about An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach.

A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns (2021)
Presentation / Conference Contribution

Recently, methods enabling humans and Artificial Intelligent (AI) agents to collaborate towards improving the efficiency of Reinforcement Learning - also called Collaborative Reinforcement Learning (CRL) - have been receiving increasing attention. In... Read More about A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns.

Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours (2021)
Presentation / Conference Contribution

Schoolchildren's academic progress is known to be affected by the classroom environment. It is important for teachers and administrators to under-stand their pupils' status and how various factors in the classroom may affect them, as it can help them... Read More about Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours.

Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study (2021)
Book Chapter

This study aims to explore and improve ways of handling a continuous variable dataset, in order to predict student dropout in MOOCs, by implementing various models, including the ones most successful across various domains, such as recurrent neural n... Read More about Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study.

AraCust: a Saudi Telecom Tweets corpus for sentiment analysis (2021)
Journal Article

Comparing Arabic to other languages, Arabic lacks large corpora for Natural Language Processing (Assiri, Emam & Al-Dossari, 2018; Gamal et al., 2019). A number of scholars depended on translation from one language to another to construct their corpus... Read More about AraCust: a Saudi Telecom Tweets corpus for sentiment analysis.

Automatic creating variation of CS1 assignments and exams (2021)
Presentation / Conference Contribution

Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners (2021)
Presentation / Conference Contribution

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

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

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

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.

Automatic Subject-based Contextualisation of Programming Assignment Lists (2020)
Presentation / Conference Contribution

As programming must be learned by doing, introductory programming course learners need to solve many problems, e.g., on systems such as ’Online Judges’. However, as such courses are often compulsory for non-Computer Science (nonCS) undergraduates, th... Read More about Automatic Subject-based Contextualisation of Programming Assignment Lists.

For whom should we gamify? Insights on the users intentions and context towards gamification in education (2020)
Presentation / Conference Contribution

Gamification design in educational environments is not trivial and many variables need to be considered to achieve positive outcomes. Often, educators and designers do not know when the students intend on the use of gamified environments might influe... Read More about For whom should we gamify? Insights on the users intentions and context towards gamification in education.

Sequential Recommender via Time-aware Attentive Memory Network (2020)
Presentation / Conference Contribution

Recommendation systems aim to assist users to discover desirable contents from an ever-growing corpus of items. Although recommenders have been greatly improved by deep learning, they still face several challenges: (1) behaviours are much more comple... Read More about Sequential Recommender via Time-aware Attentive Memory Network.

GamiCSM: relating education, culture and gamification - a link between worlds (2020)
Presentation / Conference Contribution

The potential of gamification to improve users' motivation and engagement influenced many researchers and professionals to analyse its effects in educational settings. While some studies focus on adapting game elements according to demographic and be... Read More about GamiCSM: relating education, culture and gamification - a link between worlds.

Deep learning for early performance prediction of introductory programming students: a comparative and explanatory study (2020)
Journal Article

Introductory programming may be complex for many students. Moreover, there is a high failure and dropout rate in these courses. A potential way to tackle this problem is to predict student performance at an early stage, as it facilitates human-AI col... Read More about Deep learning for early performance prediction of introductory programming students: a comparative and explanatory study.

Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study (2020)
Presentation / Conference Contribution

The TechUPWomen programme takes 100 women from the Midlands and North of England, particularly from underrepresented communities, with degrees or experience in any subject area, retrains them in technology and upon graduation guarantees an interview... Read More about Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study.

Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course (2020)
Presentation / Conference Contribution

Social media is ubiquitous, a continuous part of our daily lives; it offers new ways of communication. This is especially crucial in education, where various online systems make use of (perceived) public or private communication, as a means to suppor... Read More about Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course.

Investigating users’ experience on social media ads: perceptions of young users (2020)
Journal Article

Social media platforms changed from being socialization platforms to serve businesses through advertisements. This research aims at investigating active young users' experience with social media ads by studying the personalization and the usefulness... Read More about Investigating users’ experience on social media ads: perceptions of young users.

Exploring Navigation Styles in a FutureLearn MOOC (2020)
Book Chapter

This paper presents for the first time a detailed analysis of fine-grained navigation style identification in MOOCs backed by a large number of active learners. The result shows 1) whilst the sequential style is clearly in evidence, the global style... Read More about Exploring Navigation Styles in a FutureLearn MOOC.

A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts (2020)
Presentation / Conference Contribution

In recent years, massive open online courses (MOOCs) have become one of the most exciting innovations in e-learning environments. Thousands of learners around the world enroll on these online platforms to satisfy their learning needs (mostly) free of... Read More about A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts.