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10th International Conference on Optimization and Applications, ICOA 2024

作者： Da Silva, Breno Caetano Franco, Jorge Luiz Branco, Hermes Manoel Galvão Castelo Tokuda, Eric Delbem, Alexandre Claudio Botazzo Federal Institute of Maranhão Computer Science Department Teresina Brazil Inst. of Math. and Computer Science University of São Paulo São Carlos Brazil Federal University of Piaui Electrical Engineering Department Teresina Brazil

ISBN: (纸本)9798350387353

In Active Learning (AL) applications, it is crucial to develop a model that efficiently represents data using a limited number of labeled samples. In this context, an oracle is often employed to label samples that are deemed representative and informative. However, one of the primary limitations of AL lies in the need for an initial set of labeled samples, which may not be representative of the entire data space. To address this issue, cold-start strategies are implemented with the goal of selecting an appropriate initial set of samples for labeling, ensuring that the initial model is robust and effective. We propose a novel approach - PhyIL - that harness the advantages of phylogram analysis and community detection techniques to smartly perform the cold-start selection in AL. The method facilitates the choice of samples that best represent the diversity and complexity of the data, which is fundamental for the subsequent success of the active learning process. We evaluated the proposed approach using nine real-world databases and nine traditional ML models. The findings indicate that PhyIL offers an effective and viable solution for the initial sample selection, when compared to the random selection. © 2024 IEEE.

关键词： Active learning

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Enzigame: An Educational Game About Enzymes and Metabolism 53

Enzigame: An Educational Game About Enzymes and Metabolism

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： De Carvalho Ferreira, Gustavo M. S. Faria, Michel Hecker Dias Cirilo, math.us Henrique De Oliveira, Alexandre Ponce De Oliveira Carvalho, Carla Roberta De Souza, Paulo Sergio Lopes Inst. of Math. and Computer Sciences Engineering School of Sao Carlos University of Sao Paulo Sao Carlos Brazil University of Sao Paulo Technology Faculty of Lins Sao Carlos Brazil Institute of Biomedical Sciences University of Sao Paulo Sao Paulo Brazil Inst. of Math. and Computer Sciences University of Sao Paulo Sao Carlos Brazil

ISBN: (纸本)9798350336429

This paper presents a novel game to teach metabolism and enzymatic activity concepts, exploring game-based and active learning. This study is part of a larger project that aims to update primary and secondary school teachers with scientific knowledge, allowing them to include novel teaching strategies and general discussions about eating habits and health with their students. The game impact was measured by qualitative assessment of 75 teachers who used the game, and overall, the feedback was very positive. Enzigame has been developed to explore essential concepts of metabolism and enzymatic activity. A heterogeneous group of people from computing and biomedical science participated in creating the game's software, and another group worked on reviewing the pedagogic issues in the game to make it able to be used in the classroom. The computing subgroup created a game design document describing the game's features, mechanics, elements, and scenarios. The game's development was cyclic, constantly reviewing the requirements for pedagogic, content, and computing technical aspects. Our results show the strong game's evolution, which was possible through the constant feedback from teachers from middle school, high school, and university education. Now, we have Enzigame's stable final version, with several mechanics that approach the contents in a playful and didactic way. Enzigame teaches about metabolism and enzymes, and, at the same time, it tests the motor and reasoning player's capacity through its gameplay, where the player controls an enzyme and needs to lead that one to its substrates, regulating the body's metabolism. The gameplay is accompanied by the 'Teacher' character, who appears occasionally and explains things to the player, like an enzyme and how it works. The game has different levels, representing distinct places of the body. Such levels allow us to explore the various kinds of enzymes and the different phases of our metabolism. Through game development a

关键词： enzyme activity game-based learning healthy habits learning obesity

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Metabuleiro: a Digital Board Game About the Human Body and a Healthy Diet 53

Metabuleiro: a Digital Board Game About the Human Body and a...

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： De Oliveira, Alexandre Ponce Dias Cirilo, math.us Henrique Sarenci De Carvalho Ferreira, Gustavo M. Faria, Michel Hecker De Oliveira Carvalho, Carla Roberta Lopes De Souza, Paulo Sergio University of Sao Paulo Technology Faculty of Lins Sao Carlos Brazil Inst. of Math. and Computer Sciences Engineering School of Sao Carlos University of Sao Paulo Sao Carlos Brazil Institute of Biomedical Sciences University of Sao Paulo Sao Paulo Brazil Inst. of Math. and Computer Sciences University of Sao Paulo Sao Carlos Brazil

ISBN: (纸本)9798350336429

Traditional teaching methods often need help engaging students and effectively fostering active participation and knowledge retention. There is a growing need for innovative educational tools to address this challenge that can enhance student engagement and learning outcomes. Educational games have gained significant attention as an effective method to improve motivation, engagement, and learning outcomes in educational settings. This paper introduces Metabuleiro, a digital multiplayer board game developed as a gamified learning tool. While initially focused on teaching metabolism, obesity, and a healthy diet, Metabuleiro's versatility allows its application in various subjects. The objective is to provide teachers with a unique and engaging resource that enhances student engagement and promotes effective learning. Experts collaboratively developed Metabuleiro from computer science and biomedical science. The game combines elements of board games and quizzes to offer a collaborative and competitive learning experience. Careful consideration was given to the game's features, mechanics, and components to ensure an effective learning environment while maintaining an enjoyable gameplay experience. Throughout the development process, feedback from teachers at different educational levels was collected and incorporated into the game's revisions. The final version of Metabuleiro received positive evaluations from teachers, demonstrating high satisfaction and intentions to integrate the educational game or similar tools into their classes. This positive feedback highlights Metabuleiro's potential as an effective educational tool for enhancing student engagement and learning outcomes. Furthermore, the game's adaptability allows it to be applied across various fields of study, making it a valuable resource for educators seeking to incorporate game-based learning and active educational methodologies in their classes. To further enhance our understanding of the game's education

关键词： game-based learning healthy diet learning metabolism obesity

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Food Battle: Game-Based Learning to Teach Healthy Eating Habits 53

Food Battle: Game-Based Learning to Teach Healthy Eating Hab...

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Faria, Michel Hecker De Carvalho Ferreira, Gustavo M. S. Cirilo, math.us Henrique Dias De Oliveira, Alexandre Ponce De Oliveira Carvalho, Carla Roberta De Souza, Paulo Sergio Lopes Inst. of Math. and Computer Sciences Engineering School of Sao Carlos University of Sao Paulo Sao Carlos Brazil University of Sao Paulo Technology Faculty of Lins Sao Carlos Brazil Institute of Biomedical Sciences University of Sao Paulo Sao Paulo Brazil Inst. of Math. and Computer Sciences University of Sao Paulo Sao Carlos Brazil

ISBN: (纸本)9798350336429

Game-based learning has gained popularity in recent years, as it is an effective method to engage students and improve their learning experience. The present study aimed to investigate the use of game-based learning in teaching eating habits and health to elementary school students, focusing on nutrition and obesity. The study was part of a larger project to update elementary and high school teachers in Brazil on metabolism and obesity, linked to the World Health Organization (WHO) campaign entitled Beat Diabetes. Our research can be split into three methodological stages. In the first stage, we established the requirements for the topics covered in the game through meetings with experts in metabolism and obesity. The digital game was developed in the second stage using the Unity Engine and the C# language. The game was titled Food Battle and was inspired by another popular game called Plants vs. Zombies. In this game, the players had to choose healthy and unhealthy food options while fighting off junk food monsters. The third and final stage of the study was responsible for the verification, validation, and testing (VV&T) of the game. Programmers, computers, and medical teachers initially tested the Food Battle game. Then, the game was validated by its end-users, which included elementary and high school teachers and undergraduate students in biomedical sciences. The study's results showed a positive acceptance of the game as a teaching tool. The Food Battle game was playful, engaging, and effective in reaching various age groups of students. The use of games in education can offer various benefits to students, including increased motivation, engagement, and interest in the topic being taught. Additionally, games can assist teachers in the classroom by providing them with a tool that facilitates teaching complex issues such as obesity and healthy eating. The present study highlights the importance and benefits of games in education and how they can effectively impr

关键词： eating habits games learning metabolism obesity

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Health Tycoon: An Educational Simulation Game on Positive Habits 53

Health Tycoon: An Educational Simulation Game on Positive Ha...

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Cirilo, math.us Henrique Dias De Carvalho Ferreira, Gustavo M. Sarenci Faria, Michel Hecker De Oliveira, Alexandre Ponce De Oliveira Carvalho, Carla Roberta De Souza, Paulo Sergio Lopes Inst. of Math. and Computer Sciences Engineering School of Sao Carlos University of Sao Paulo Sao Carlos Brazil University of Sao Paulo Technology Faculty of Lins Sao Carlos Brazil Institute of Biomedical Sciences University of Sao Paulo Sao Paulo Brazil Inst. of Math. and Computer Sciences University of Sao Paulo Sao Carlos Brazil

ISBN: (纸本)9798350336429

This study explores how a game can be an effective active learning methodology for promoting health education and healthy eating habits among young students. The primary objective of the research was to develop an educational game that emphasizes the importance of healthy behaviors. To achieve this, the team created a game design document that described the game's main features, including themes, game mechanics, characters, scenarios, challenges, and feedback. The team used the Unity platform, a game development tool, to develop the game to create a unique game that engages young students in healthy activities. The game's educational content is reinforced through math.matical simulations that give players feedback about healthy choices, such as healthy eating and regular exercise. The feedback system aims to highlight the significance of healthy habits for overall health, even when the results of these habits may not be immediately visible. The team collaborated with health and nutrition experts to ensure the game's educational content was accurate and up-to-date. Experts validated the game to ensure its quality and effectiveness, while teachers tested its usability to identify any issues that could affect its use in the classroom. As a result of the research, the team developed an educational simulation tool primarily aimed at slightly older students. The game demonstrates the impact of good habits, breaking the problem of delayed gratification that affects young people. The game development methodology presented in this study can be a helpful model for educators and developers working in educational technology. The game's potential as an educational tool and its success in fostering healthy behaviors must encourage further research and development. In conclusion, an educational game emphasizing the importance of healthy behaviors can promote health education among young students. As presented in this study, the educational game Health Tycoon shows evidence that te

关键词： eating habits educational game learning metabolism nutrition obesity

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A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs 37

A Theory of Link Prediction via Relational Weisfeiler-Leman ...

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37th Conference on Neural Information Processing Systems, NeurIPS 2023

作者： Huang, Xingyue Romero, Miguel Ceylan, Ismail Ilkan Barceló, Pablo Department of Computer Science University of Oxford Oxford United Kingdom Department of Computer Science Universidad Católica de Chile Chile CENIA Chile Chile Inst. for Math. and Comp. Eng. Universidad Católica de Chile Chile IMFD Chile Chile

ISBN: (纸本)9781713899921

Graph neural networks are prominent models for representation learning over graph-structured data. While the capabilities and limitations of these models are well-understood for simple graphs, our understanding remains incomplete in the context of knowledge graphs. Our goal is to provide a systematic understanding of the landscape of graph neural networks for knowledge graphs pertaining to the prominent task of link prediction. Our analysis entails a unifying perspective on seemingly unrelated models and unlocks a series of other models. The expressive power of various models is characterized via a corresponding relational Weisfeiler-Leman algorithm. This analysis is extended to provide a precise logical characterization of the class of functions captured by a class of graph neural networks. The theoretical findings presented in this paper explain the benefits of some widely employed practical design choices, which are validated empirically. © 2023 Neural information processing systems foundation. All rights reserved.

关键词： Graph neural networks

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A Robust Cold-Start Approach Using Phylogram

A Robust Cold-Start Approach Using Phylogram

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International Conference on Optimization and Applications (ICOA)

作者： Breno Caetano da Silva Jorge Luiz Franco Hermes Manoel Galvão Castelo Branco Eric Tokuda Alexandre Cláudio Botazzo Delbem Computer Science Department Federal Institute of Maranhão Teresina Brazil Inst. of Math. and Computer Science University of São Paulo São Carlos Brazil Electrical Engineering Department Federal University of Piaui Teresina Brazil

ISBN: (数字)9798350387353

ISBN: (纸本)9798350387360

In Active Learning (AL) applications, it is crucial to develop a model that efficiently represents data using a limited number of labeled samples. In this context, an oracle is often employed to label samples that are deemed representative and informative. However, one of the primary limitations of AL lies in the need for an initial set of labeled samples, which may not be representative of the entire data space. To address this issue, cold-start strategies are implemented with the goal of selecting an appropriate initial set of samples for labeling, ensuring that the initial model is robust and effective. We propose a novel approach – PhyIL – that harness the advantages of phylogram analysis and community detection techniques to smartly perform the cold-start selection in AL. The method facilitates the choice of samples that best represent the diversity and complexity of the data, which is fundamental for the subsequent success of the active learning process. We evaluated the proposed approach using nine real-world databases and nine traditional ML models. The findings indicate that PhyIL offers an effective and viable solution for the initial sample selection, when compared to the random selection.

关键词： Training Databases Data models Complexity theory Labeling Standards Optimization Context modeling

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Link Prediction with Relational Hypergraphs

arXiv

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arXiv 2024年

作者： Huang, Xingyue Romero, Miguel Barceló, Pablo Bronstein, Michael M. Ceylan, Ismail Ilkan Department of Computer Science University of Oxford United Kingdom Department of Computer Science Universidad Católica Chile Inst. for Math. and Comp. Eng. Universidad Católica de Chile & IMFD Chile CENIA Chile

Link prediction with knowledge graphs has been thoroughly studied in graph machine learning, leading to a rich landscape of graph neural network architectures with successful applications. Nonetheless, it remains challenging to transfer the success of these architectures to relational hypergraphs, where the task of link prediction is over k-ary relations, which is substantially harder than link prediction with knowledge graphs. In this paper, we propose a framework for link prediction with relational hypergraphs, unlocking applications of graph neural networks to fully relational structures. Theoretically, we conduct a thorough analysis of the expressive power of the resulting model architectures via corresponding relational Weisfeiler-Leman algorithms and also via logical expressiveness. Empirically, we validate the power of the proposed model architectures on various relational hypergraph benchmarks. The resulting model architectures substantially outperform every baseline for inductive link prediction, and lead to state-of-the-art results for transductive link prediction. Copyright © 2024, The Authors. All rights reserved.

关键词： Graph neural networks

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Enzigame: An Educational Game About Enzymes and Metabolism

Enzigame: An Educational Game About Enzymes and Metabolism

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Frontiers in Education (FIE) Conference

作者： Gustavo M. S. de Carvalho Ferreira Michel Hecker Faria math.us Henrique Dias Cirilo Alexandre Ponce de Oliveira Carla Roberta de Oliveira Carvalho Paulo Sergio Lopes de Souza Inst. of Math. and Computer Sciences Engineering School of Sao Carlos University of Sao Paulo Sao Carlos Brazil Technology Faculty of Lins University of Sao Paulo Sao Carlos Brazil Institute of Biomedical Sciences University of Sao Paulo Sao Paulo Brazil Inst. of Math. and Computer Sciences University of Sao Paulo Sao Carlos Brazil

This paper presents a novel game to teach metabolism and enzymatic activity concepts, exploring game-based and active learning. This study is part of a larger project that aims to update primary and secondary school teachers with scientific knowledge, allowing them to include novel teaching strategies and general discussions about eating habits and health with their students. The game impact was measured by qualitative assessment of 75 teachers who used the game, and overall, the feedback was very positive. Enzigame has been developed to explore essential concepts of metabolism and enzymatic activity. A heterogeneous group of people from computing and biomedical science participated in creating the game's software, and another group worked on reviewing the pedagogic issues in the game to make it able to be used in the classroom. The computing subgroup created a game design document describing the game's features, mechanics, elements, and scenarios. The game's development was cyclic, constantly reviewing the requirements for pedagogic, content, and computing technical aspects. Our results show the strong game's evolution, which was possible through the constant feedback from teachers from middle school, high school, and university education. Now, we have Enzigame's stable final version, with several mechanics that approach the contents in a playful and didactic way. Enzigame teaches about metabolism and enzymes, and, at the same time, it tests the motor and reasoning player's capacity through its gameplay, where the player controls an enzyme and needs to lead that one to its substrates, regulating the body's metabolism. The gameplay is accompanied by the “Teacher” character, who appears occasionally and explains things to the player, like an enzyme and how it works. The game has different levels, representing distinct places of the body. Such levels allow us to explore the various kinds of enzymes and the different phases of our metabolism. Through game development a

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Food Battle: Game-Based Learning to Teach Healthy Eating Habits

Food Battle: Game-Based Learning to Teach Healthy Eating Hab...

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Frontiers in Education (FIE) Conference

作者： Michel Hecker Faria Gustavo M. S. de Carvalho Ferreira math.us Henrique Dias Cirilo Alexandre Ponce de Oliveira Carla Roberta de Oliveira Carvalho Paulo Sergio Lopes de Souza Inst. of Math. and Computer Sciences Engineering School of Sao Carlos University of Sao Paulo Sao Carlos Brazil Technology Faculty of Lins University of Sao Paulo Sao Carlos Brazil Institute of Biomedical Sciences University of Sao Paulo Sao Paulo Brazil Inst. of Math. and Computer Sciences University of Sao Paulo Sao Carlos Brazil

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