Filipe D. Pereira

Orcid: 0000-0003-4914-3347

According to our database1, Filipe D. Pereira authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Complexidade versus dificuldade: Uma análise da sua correlação em questões de programação em juízes on-line.
Revista Brasileira de Informática na Educ., 2024

2023
Toward Human-AI Collaboration: A Recommender System to Support CS1 Instructors to Select Problems for Assignments and Exams.
IEEE Trans. Learn. Technol., June, 2023

Learning Analytics in Introductory Programming Courses: A Showcase from the Federal University of Amazonas.
Revista Brasileira de Informática na Educ., 2023

Education in the age of Generative AI: Context and Recent Developments.
CoRR, 2023

Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges.
IEEE Access, 2023

G is for Generalisation: Predicting Student Success from Keystrokes.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs.
Proceedings of the 6th Workshop on Human Factors in Hypertext, 2023

Evaluation of a Hybrid AI-Human Recommender for CS1 Instructors in a Real Educational Scenario.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

Question Classification with Constrained Resources: A Study with Coding Exercises.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

A Recommendation System for Nurturing Students' Sense of Belonging.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
Are They Learning or Playing? Moderator Conditions of Gamification's Success in Programming Classrooms.
ACM Trans. Comput. Educ., 2022

Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts.
Proceedings of the Learning Technologies and Systems, 2022

Towards the understanding of cultural differences in between gamification preferences: A data-driven comparison between the US and Brazil.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Gamification Through the Looking Glass - Perceived Biases and Ethical Concerns of Brazilian Teachers.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

GARFIELD: A Recommender System to Personalize Gamified Learning.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
Uso de atributos de código para classificar a dificuldade de questões de programação em juízes online.
Revista Brasileira de Informática na Educ., 2021

Explaining Individual and Collective Programming Students' Behavior by Interpreting a Black-Box Predictive Model.
IEEE Access, 2021

Towards a Human-AI Hybrid System for Categorising Programming Problems.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

2020
Deep learning for early performance prediction of introductory programming students: a comparative and explanatory study.
Revista Brasileira de Informática na Educ., 2020

Using learning analytics in the Amazonas: understanding students' behaviour in introductory programming.
Br. J. Educ. Technol., 2020

Can We Use Gamification to Predict Students' Performance? A Case Study Supported by an Online Judge.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Prediction of Users' Professional Profile in MOOCs Only by Utilising Learners' Written Texts.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Automatic Subject-based Contextualisation of Programming Assignment Lists.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities.
Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Early Dropout Prediction for Programming Courses Supported by Online Judges.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019


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