All Outputs (13)

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.

Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs (2020)
Presentation / Conference Contribution

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,... Read More about Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs.

Can We Use Gamification to Predict Students’ Performance? A Case Study Supported by an Online Judge (2020)
Presentation / Conference Contribution

The impact of gamification has been typically evaluated via self-report assessments (questionnaires, surveys, etc.). In this work, we analise the use of gamification elements as parameters, to predict whether students are going to fail or not in a pr... Read More about Can We Use Gamification to Predict Students’ Performance? A Case Study Supported by an Online Judge.

Using learning analytics in the Amazonas: understanding students’ behaviour in introductory programming (2020)
Journal Article

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better unders... Read More about Using learning analytics in the Amazonas: understanding students’ behaviour in introductory programming.