Filipe D. Pereira

According to our database, Filipe D. Pereira authored at least 38 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums.

Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira

User Model. User Adapt. Interact., July, 2024

Mathematics intelligent tutoring systems with handwritten input: a scoping review.

Luiz A. L. Rodrigues, Filipe Dwan Pereira, Marcelo Marinho, Valmir Macario, Ig Ibert Bittencourt, Seiji Isotani, Diego Dermeval, Rafael Ferreira Mello

Educ. Inf. Technol., June, 2024

How Personalization Affects Motivation in Gamified Review Assessments.

Luiz A. L. Rodrigues, Paula T. Palomino, Armando M. Toda, Ana C. T. Klock, Marcela Pessoa, Filipe D. Pereira, Elaine H. T. Oliveira, David Braga Fernandes de Oliveira, Alexandra I. Cristea, Isabela Gasparini, Seiji Isotani

Int. J. Artif. Intell. Educ., June, 2024

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation.

Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Filipe Dwan Pereira, Armando M. Toda, Elaine Harada T. de Oliveira, Craig D. Stewart

User Model. User Adapt. Interact., April, 2024

Complexidade versus dificuldade: Uma análise da sua correlação em questões de programação em juízes on-line.

Jackson Celestino Fernandes, Leandro Silva Galvão de Carvalho, David Braga Fernandes de Oliveira, Elaine Harada Teixeira de Oliveira, Filipe Dwan Pereira, Tanara Lauschner

Revista Brasileira de Informática na Educ., 2024

From Sparse to Smart: Leveraging AI for Effective Online Judge Problem Classification in Programming Education.

Filipe Dwan Pereira, Maely Moraes, Marcelo Henrique Oliveira Henklain, Arto Hellas, Elaine Oliveira, Dragan Gasevic, Raimundo S. Barreto, Rafael Mello

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Can GPT4 Answer Educational Tests? Empirical Analysis of Answer Quality Based on Question Complexity and Difficulty.

Luiz A. L. Rodrigues, Filipe Dwan Pereira, Luciano de Souza Cabral, Geber L. Ramalho, Dragan Gasevic, Rafael Ferreira Mello

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

Enhancing Algorithmic Fairness in Student Performance Prediction Through Unbiased and Equitable Machine Learning Models.

Luciano de Souza Cabral, Filipe Dwan Pereira, Rafael Ferreira Mello

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, 2024

MOOCRev: A Large-Scale Data Repository for Course Reviews.

Mohammad Alshehri, Fahd Alfarsi, Ahmed Alamri, Laila Alrajhi, Saman Rizvi, Filipe Dwan Pereira, Seiji Isotani, Alexandra I. Cristea

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, 2024

2023

Toward Human-AI Collaboration: A Recommender System to Support CS1 Instructors to Select Problems for Assignments and Exams.

Filipe Dwan Pereira, Luiz A. L. Rodrigues, Marcelo Henrique Oliveira Henklain, Hermino B. F. Junior, David B. F. Oliveira, Alexandra I. Cristea, Leandro S. G. Carvalho, Seiji Isotani, Aileen Benedict, Mohsen Dorodchi, Elaine Harada Teixeira de Oliveira

IEEE Trans. Learn. Technol., June, 2023

Learning Analytics in Introductory Programming Courses: A Showcase from the Federal University of Amazonas.

Flávio José Mendes Coelho, Elaine H. T. Oliveira, Filipe D. Pereira, David B. F. Oliveira, Leandro S. G. Carvalho, Eduardo James Pereira Souto, Marcela Pessoa, Rafaela Melo, Marcos A. P. Lima, Fabíola G. Nakamura

Revista Brasileira de Informática na Educ., 2023

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

Rafael Ferreira Mello, Elyda L. S. X. Freitas, Filipe Dwan Pereira, Luciano de Souza Cabral, Patrícia C. A. R. Tedesco, Geber L. Ramalho

CoRR, 2023

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

Filipe Dwan Pereira, Samuel C. Fonseca, Sandra Wiktor, David B. F. Oliveira, Alexandra I. Cristea, Aileen Benedict, Mohammadali Fallahian, Mohsen Dorodchi, Leandro S. G. Carvalho, Rafael Ferreira Mello, Elaine H. T. Oliveira

IEEE Access, 2023

G is for Generalisation: Predicting Student Success from Keystrokes.

Zac Pullar-Strecker, Filipe Dwan Pereira, Paul Denny, Andrew Luxton-Reilly, Juho Leinonen

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.

Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Ahmed Alamri

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.

Filipe Dwan Pereira, Elaine H. T. Oliveira, Luiz A. L. Rodrigues, Luciano de Souza Cabral, David B. F. Oliveira, Leandro S. G. Carvalho, Dragan Gasevic, Alexandra I. Cristea, Diego Dermeval, Rafael Ferreira Mello

Proceedings of the Responsive and Sustainable Educational Futures, 2023

Question Classification with Constrained Resources: A Study with Coding Exercises.

Luiz A. L. Rodrigues, Filipe D. Pereira, Jário José Santos, Elaine H. T. Oliveira, Isabela Gasparini, Rafael Ferreira Leite de Mello, Leonardo Brandão Marques, Diego Dermeval, Ig Ibert Bittencourt, Seiji Isotani

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.

Aileen Benedict, Sandra Wiktor, Mohammadali Fallahian, Mohsen Dorodchi, Filipe Dwan Pereira, David Gary

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.

Luiz A. L. Rodrigues, Filipe D. Pereira, Armando M. Toda, Paula T. Palomino, Wilk Oliveira, Marcela Pessoa, Leandro S. G. Carvalho, David B. F. Oliveira, Elaine Harada T. de Oliveira, Alexandra I. Cristea, Seiji Isotani

ACM Trans. Comput. Educ., 2022

Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts.

Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea, Filipe Dwan Pereira

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.

Armando M. Toda, Ana C. T. Klock, Filipe Dwan Pereira, Luiz A. L. Rodrigues, Paula Toledo Palomino, Vinícius Lopes, Craig D. Stewart, Elaine H. T. Oliveira, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Gamification Through the Looking Glass - Perceived Biases and Ethical Concerns of Brazilian Teachers.

Armando M. Toda, Paula T. Palomino, Luiz A. L. Rodrigues, Ana C. T. Klock, Filipe D. Pereira, Simone de Sousa Borges, Isabela Gasparini, Elaine H. Teixeira, Seiji Isotani, Alexandra I. Cristea

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.

Luiz A. L. Rodrigues, Armando M. Toda, Filipe D. Pereira, Paula T. Palomino, Ana C. T. Klock, Marcela Pessoa, David B. F. Oliveira, Isabela Gasparini, Elaine H. T. Oliveira, Alexandra I. Cristea, Seiji Isotani

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.

Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani

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.

Marcos A. P. Lima, Leandro S. G. Carvalho, Elaine Harada T. de Oliveira, David B. F. Oliveira, Filipe D. Pereira

Revista Brasileira de Informática na Educ., 2021

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

Filipe Dwan Pereira, Samuel C. Fonseca, Elaine H. T. Oliveira, Alexandra I. Cristea, Henrik Bellhäuser, Luiz A. L. Rodrigues, David B. F. Oliveira, Seiji Isotani, Leandro S. G. Carvalho

IEEE Access, 2021

Towards a Human-AI Hybrid System for Categorising Programming Problems.

Filipe Dwan Pereira, Francisco Pires, Samuel C. Fonseca, Elaine H. T. Oliveira, Leandro S. G. Carvalho, David B. F. Oliveira, Alexandra I. Cristea

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.

Filipe D. Pereira, Hermino B. F. Junior, Luiz Rodriguez, Armando M. Toda, Elaine H. T. Oliveira, Alexandra I. Cristea, David B. F. Oliveira, Leandro S. G. Carvalho, Samuel C. Fonseca, Ahmed Alamri, Seiji Isotani

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.

Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns.

Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig D. Stewart, Filipe Dwan Pereira

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.

Filipe Dwan Pereira, Samuel C. Fonseca, Elaine H. T. Oliveira, David B. F. Oliveira, Alexandra I. Cristea, Leandro S. G. Carvalho

Revista Brasileira de Informática na Educ., 2020

Using learning analytics in the Amazonas: understanding students' behaviour in introductory programming.

Filipe D. Pereira, Elaine H. T. Oliveira, David B. F. Oliveira, Alexandra I. Cristea, Leandro S. G. Carvalho, Samuel C. Fonseca, Armando Maciel Toda, Seiji Isotani

Br. J. Educ. Technol., 2020

Can We Use Gamification to Predict Students' Performance? A Case Study Supported by an Online Judge.

Filipe D. Pereira, Armando Maciel Toda, Elaine H. T. Oliveira, Alexandra I. Cristea, Seiji Isotani, Dion Laranjeira, Adriano Almeida, Jonas Mendonça

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Prediction of Users' Professional Profile in MOOCs Only by Utilising Learners' Written Texts.

Tahani Aljohani, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Automatic Subject-based Contextualisation of Programming Assignment Lists.

Samuel C. Fonseca, Filipe Dwan Pereira, Elaine H. T. Oliveira, David Fernandes, Leandro S. G. Carvalho, Alexandra I. Cristea

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.

Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart

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.

Filipe D. Pereira, Elaine H. T. Oliveira, David Fernandes, Alexandra I. Cristea

Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Early Dropout Prediction for Programming Courses Supported by Online Judges.

Filipe D. Pereira, Elaine H. T. Oliveira, Alexandra I. Cristea, David Fernandes, Luciano Silva, Gene Aguiar, Ahmed Alamri, Mohammad Alshehri

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019