{"title":"一个基于机器人的框架来支持编程基础的教学和学习","authors":"Javier Ortega-Morla;Antonio Leis;Alma Mallo;Laura Morán-Fernández;Sara Guerreiro;Alejandro Paz-López;Beatriz Pérez-Sánchez;Noelia Sánchez-Maroño;Alejandro Rodríguez-Arias;Oscar Fontenla-Romero;Francisco Bellas","doi":"10.1109/TLT.2025.3598041","DOIUrl":null,"url":null,"abstract":"The initial version of ProgTutor, a learning framework designed to teach the fundamentals of computer programming in a personalized and applied manner, is presented here. The main contribution of this tool is the integration of an adaptive learning system with a 3-D robotic simulator, used to face realistic challenges in a user-friendly fashion. ProgTutor provides automated evaluations and feedback on coding errors, ensuring that learners receive the support they need to progress effectively. In addition, it features dynamic learning paths tailored to each student’s pace, offloading tasks such as automated evaluation and adaptive sequencing to the tool so that students and teachers can concentrate on judgment. ProgTutor also enhances the teachers’ capacities as educators, as they can focus their attention on those students with more learning difficulties. Therefore, it functions as intelligence augmentation rather than automation, with teachers remaining in the decision loop. This article introduces the conceptual and functional design of ProgTutor, and it includes piloting results with high school students during the academic course 2023–2024, focused on their acceptability of the tool and on the analysis of the real impact that this type of system could have over the formal educational landscape in the future.","PeriodicalId":49191,"journal":{"name":"IEEE Transactions on Learning Technologies","volume":"18 ","pages":"783-797"},"PeriodicalIF":4.9000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11122894","citationCount":"0","resultStr":"{\"title\":\"ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals\",\"authors\":\"Javier Ortega-Morla;Antonio Leis;Alma Mallo;Laura Morán-Fernández;Sara Guerreiro;Alejandro Paz-López;Beatriz Pérez-Sánchez;Noelia Sánchez-Maroño;Alejandro Rodríguez-Arias;Oscar Fontenla-Romero;Francisco Bellas\",\"doi\":\"10.1109/TLT.2025.3598041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The initial version of ProgTutor, a learning framework designed to teach the fundamentals of computer programming in a personalized and applied manner, is presented here. The main contribution of this tool is the integration of an adaptive learning system with a 3-D robotic simulator, used to face realistic challenges in a user-friendly fashion. ProgTutor provides automated evaluations and feedback on coding errors, ensuring that learners receive the support they need to progress effectively. In addition, it features dynamic learning paths tailored to each student’s pace, offloading tasks such as automated evaluation and adaptive sequencing to the tool so that students and teachers can concentrate on judgment. ProgTutor also enhances the teachers’ capacities as educators, as they can focus their attention on those students with more learning difficulties. Therefore, it functions as intelligence augmentation rather than automation, with teachers remaining in the decision loop. This article introduces the conceptual and functional design of ProgTutor, and it includes piloting results with high school students during the academic course 2023–2024, focused on their acceptability of the tool and on the analysis of the real impact that this type of system could have over the formal educational landscape in the future.\",\"PeriodicalId\":49191,\"journal\":{\"name\":\"IEEE Transactions on Learning Technologies\",\"volume\":\"18 \",\"pages\":\"783-797\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11122894\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Learning Technologies\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11122894/\",\"RegionNum\":3,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Learning Technologies","FirstCategoryId":"95","ListUrlMain":"https://ieeexplore.ieee.org/document/11122894/","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals
The initial version of ProgTutor, a learning framework designed to teach the fundamentals of computer programming in a personalized and applied manner, is presented here. The main contribution of this tool is the integration of an adaptive learning system with a 3-D robotic simulator, used to face realistic challenges in a user-friendly fashion. ProgTutor provides automated evaluations and feedback on coding errors, ensuring that learners receive the support they need to progress effectively. In addition, it features dynamic learning paths tailored to each student’s pace, offloading tasks such as automated evaluation and adaptive sequencing to the tool so that students and teachers can concentrate on judgment. ProgTutor also enhances the teachers’ capacities as educators, as they can focus their attention on those students with more learning difficulties. Therefore, it functions as intelligence augmentation rather than automation, with teachers remaining in the decision loop. This article introduces the conceptual and functional design of ProgTutor, and it includes piloting results with high school students during the academic course 2023–2024, focused on their acceptability of the tool and on the analysis of the real impact that this type of system could have over the formal educational landscape in the future.
期刊介绍:
The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.