Artículos de conferencia

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Browsing Artículos de conferencia by browse.metadata.categoriaods "04 Educación de calidad"

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    Clearn: A Cost-conscious Student-led Online Judge for a Large Programming Course
    (2024) Herskovic Maida, Valeria Paz; Muñoz Gama, Jorge; Balladares Conejeros, Fernando Ignacio; Quiroz Pastor, Nicolas Alberto; Flores, Pablo
    Online judges in programming courses allow students to improve their coding abilities and instructors to analyze student work and detect challenging topics. Although several online judge platforms are available, most are limited in that they cannot support a large number of students simultaneously working on an assignment during a fixed time period, or can only do so at a significant cost, making the use of such systems in developing countries non-viable. This paper presents Clearn, a new platform that is (1) cost-conscious, as we have focused on lowering costs, (2) student-led, as we have empowered students and teaching assistants to lead its development and maintenance, and (3) highly simultaneous, as it allows over 1,000 students to work simultaneously on a timed assignment. This paper presents the platform, as well as the lessons learned during its development and deployment, and its reception by the students.
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    Exploring the Impact of Generative AI for StandUp Report Recommendations in Software Capstone Project Development
    (2024) Neyem, Hugo Andrés; Sandoval Alcocer, Juan Pablo; Mendoza Rocha, Marcelo Gabriel; Centellas-Claro, Leonardo; González, Luis A.; Paredes Robles, Carlos Daniel
    StandUp Reports play an important role in capstone software engineering courses, facilitating progress tracking, obstacle identification, and team collaboration. However, despite their significance, students often grapple with the challenge of creating StandUp Reports that are clear, concise, and actionable. This paper investigates the impact of the use of generative AI in producing StandUp report recommendations, aiming to assist students in enhancing the quality and effectiveness of their reports. In a semester-long capstone course, 179 students participated in 16 real-world software development projects. They submitted weekly StandUp Reports with the assistance of an AI-powered Slack, which analyzed their initial reports and provided suggestions for enhancing them using both GPT-3.5 and the early access GPT-4 API. After each submitted report, students voluntarily answered a survey about usability and suggestion preference. Furthermore, we conducted a linguistic analysis of the recommendations made by the algorithms to gauge reading ease and comprehension complexity. Our findings indicate that the AI-based recommendation system helped students improve the overall quality of their StandUp Reports throughout the semester. Students expressed a high level of satisfaction with the tool and exhibited a strong willingness to continue using it in the future. The survey reveals that students perceived a slight improvement when using GPT-4 compared to GPT-3.5. Finally, a computational linguistic analysis performed on the recommendations demonstrates that both algorithms significantly improve the alignment between the generated texts and the students' educational level, thereby improving the quality of the original texts.
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    The Academic SDI-Towards Understanding Spatial Data Infrastructures for Research and Education
    (Springer, 2017) Coetzee, Serena; Steiniger, Stefan; Köbben, Barend; Iwaniak, Adam; Kaczmarek, Iwona; Rapant, Petr; Cooper, Antony; Behr, Franz-Josef; Schoof, Govert; Katumba, Samy; Vatseva, Rumiana; Sinvula, Kisco; Moellering, Harold; CEDEUS (Chile)
    The demand for geospatial data across different disciplines and organisations has led to the development and implementation of spatial data infrastructures (SDI) and the theory and concepts behind them. An SDI is an evolving concept about facilitating and coordinating the exchange of geospatial data and services between stakeholders from different levels in the spatial data community. Universities and other research organisations typically have well-established libraries and digital catalogues for scientific literature, but catalogues for geospatial data are rare. Geospatial data is widely used in research, but geospatial data produced by researchers is seldom available, accessible and usable, e.g., for purposes of teaching or further research after completion of the project. This chapter describes the experiences of a number of SDI implementations at universities and research institutes. Based on this, the Academic SDI, an SDI for research and education, is defined and its stakeholders are described. The purpose, scope and stakeholders of the Academic SDI are described based on the formal model of an SDI developed by the International Cartographic Association (ICA) Commission on SDIs and Standards (formerly the Commission on Geoinformation Infrastructures and Standards). The results contribute to understanding the state-of-the-art in SDI implementations at universities and research institutes; how the Academic SDI differs from a 'regular' SDI; and which role players need to be involved in a successful SDI implementation for research and education.