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Outputs (247)

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.

A Bayesian Network-based model to understand the role of soft requirements in technology acceptance: the Case of the NHS COVID-19 Test and Trace App in England and Wales (2022)
Presentation / Conference Contribution

Soft requirements (such as human values, motivations, and personal attitudes) can strongly influence technology acceptance. As such, we need to understand, model and predict decisions made by end users regarding the adoption and utilization of softwa... Read More about A Bayesian Network-based model to understand the role of soft requirements in technology acceptance: the Case of the NHS COVID-19 Test and Trace App in England and Wales.

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.

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.

Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm (2019)
Presentation / Conference Contribution

Many researchers have started extracting student behaviour by cleaning data collected from web environments and using it as features in machine learning (ML) models. Using log data collected from an online judge, we have compiled a set of successful... Read More about Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm.

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.

Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics (2018)
Presentation / Conference Contribution

In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups.... Read More about Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics.