يعرض 1 - 20 نتائج من 304 نتيجة بحث عن '"Programming tools"', وقت الاستعلام: 0.98s تنقيح النتائج
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    المصدر: Revista Científica; Vol. 45 No. 3 (2022): September-December 2022; 358-368 ; Revista Científica; Vol. 45 Núm. 3 (2022): Septiembre-Diciembre 2022; 358-368 ; 2344-8350 ; 0124-2253

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    Relation: https://revistas.udistrital.edu.co/index.php/revcie/article/view/19662/18553; https://revistas.udistrital.edu.co/index.php/revcie/article/view/19662/18610; Akram, B., Azizolsoltani, H., Min, W., Wiebe, E., Navied, A., Mott, B. W., Boyer, K., Lester, J. C. (2020). A Data-Driven Approach to Automatically Assessing Concept-Level CS Competencies Based on Student Programs. En CSEDM@EDM; Angelone, A. M., Vittorini, P. (2020). The Automated Grading of R Code Snippets: Preliminary Results in a Course of Health Informatics. En 9th International Conference (pp. 19-27). Springer. https://doi.org/10.1007/978-3-030-23990-9_3; Annamaa, A., Suviste, R., Vene, V. (2017). Comparing different styles of automated feedback for programming exercises. En Proceedings of the 17th Koli Calling International Conference on Computing Education Research (pp. 183-184). https://doi.org/10.1145/3141880.3141909; Ardimento, P., Bernardi, M. L., Cimitile, M. (2020). Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study. IEEE Access, 8, 132171-132187. https://doi.org/10.1109/ACCESS.2020.3010172; Beck, P., Mohammadi-Aragh, M. J., Archibald, C. (2019). An Initial Exploration of Machine Learning Techniques to Classify Source Code Comments in Real-time. En ASEE Annual Conference & Exposition; Dominguez, A. K., Yacef, K., Curran, J. (2010). Data mining to generate individualised feedback. En Proceedings of the 10th international conference on Intelligent Tutoring Systems (pp. 303-305). https://doi.org/10.1007/978-3-642-13437-1_52; Edwards, S. H. (2014). Work-in-progress: Program grading and feedback generation with Web-CAT. En Proceedings of the first ACM conference on Learning @ scale conference (pp. 215-216). https://doi.org/10.1145/2556325.2567888; English, J., English, T. (2019). Combining Summative and Formative Evaluation Using Automated Assessment. Issues in Informing Science and Information Technology, 16, 143-151. https://doi.org/10.28945/4293; Funabiki, N., Mohri, T., Yamaguchi, S. (2016). Toward personalized learning in JPLAS: Generating and scoring functions for debugging questions. En IEEE 5th Global Conference on Consumer Electronics (pp. 1-4). https://doi.org/10.1109/GCCE.2016.7800392; Gerdes, A., Heeren, B., Jeuring, J., van Binsbergen, L. T. (2017). Ask-Elle: An Adaptable Programming Tutor for Haskell Giving Automated Feedback. International Journal of Artificial Intelligence in Education, 27(1), 65-100. https://doi.org/10.1007/s40593-015-0080-x; Hidalgo, C., G, V. A. B., Calle, F. R., Osorio, F. A. G. (2021). Estrategia de enseñanza basada en la colaboración y la evaluación automática de código fuente en un curso de programación CS1. Investigación e Innovación en Ingenierías, 9(1), 50-60; Jeuring, J., Gerdes, A., Heeren, B. (2012). Ask-Elle: A Haskell Tutor. En 21st Century Learning for 21st Century Skills (pp. 453-458). Springer. https://doi.org/10.1007/978-3-642-33263-0_42 Jupyter Development Team. (s. f.). nbgrader—Nbgrader 0.7.1 documentation. https://nbgrader.readthedocs.io/en/stable/; Jupyter, P., Blank, D., Bourgin, D., Brown, A., Bussonnier, M., Frederic, J., Granger, B., Griffiths, T., Hamrick, J., Kelley, K., Pacer, M., Page, L., Perez, F., Ragan-Kelley, B., Suchow, J., Willing, C. (2019). nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook. Journal of Open Source Education, 2, e32. https://doi.org/10.21105/jose.00032; Keuning, H., Jeuring, J., Heeren, B. (2016). Towards a Systematic Review of Automated Feedback Generation for Programming Exercises. En Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education (pp. 41-46). https://doi.org/10.1145/2899415.2899422; Keuning, H., Jeuring, J., Heeren, B. (2018). A Systematic Literature Review of Automated Feedback Generation for Programming Exercises. ACM Transactions on Computing Education, 19(1), 1-43. https://doi.org/10.1145/3231711; Kim, D., Kwon, Y., Liu, P., Kim, I. L., Perry, D. M., Zhang, X., Rodriguez-Rivera, G. (2016). Apex: Automatic programming assignment error explanation. En Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (pp. 311-327). https://doi.org/10.1145/2983990.2984031; Manzoor, H., Naik, A., Shaffer, C. A., North, C., Edwards, S. H. (2020). Auto-Grading Jupyter Notebooks. En Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 1139-1144). https://doi.org/10.1145/3328778.3366947; Marin, V. J., Pereira, T., Sridharan, S., Rivero, C. R. (2017). Automated Personalized Feedback in Introductory Java Programming MOOCs. En IEEE 33rd International Conference on Data Engineering (pp. 1259-1270). https://doi.org/10.1109/ICDE.2017.169; McBroom, J., Yacef, K., Koprinska, I. (2020). Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity. En Proceedings of the 13th International Conference on Educational Data Mining. https://educationaldatamining.org/files/conferences/EDM2020/papers/paper\_252.pdf; Narciss, S. (2008). Feedback Strategies for Interactive Learning Tasks (pp. 125-144) Ramirez-Echeverry, J. J., Restrepo-Calle, F., González, F. (2018). Uncode: Interactive System for Learning and Automatic Evaluation of Computer Programming Skills. https://doi.org/10.21125/edulearn.2018.1632; Razeeth, M., Kariapper, R. K. A. R., Pirapuraj, P., Nafrees, A., Rishan, U. M., Ali, S. (2019). E-learning at home vs traditional learning among higher education students: A survey based analysis. https://www.semanticscholar.org/paper/E-learning-at-home-vs-traditional-learning-among-a-Razeeth-Kariapper/546b671af8f0542edb932a7819b62e80a0c3010b; Shermis, M. D. (2014). State-of-the-art automated essay scoring: Competition, results, and future directions from a United States demonstration. Assessing Writing, 20, 53-76. https://doi.org/10.1016/j.asw.2013.04.001; Srikant, S., Aggarwal, V. (2014). A system to grade computer programming skills using machine learning. En Proceedings of the 20th International Conference on Knowledge Discovery and Data Mining (pp. 1887-1896). https://doi.org/10.1145/2623330.2623377; Universidad del Valle. (s. f.). Course list - INGInious M-iDEA. http://ingin.ddns.net/courselist Universidad Nacional de Colombia. (2022). UNCode [Python]. UNCode. https://github.com/JuezUN/INGInious; Université catholique de Louvain. (s. f.). What is INGInious? —INGInious 0.7 documentation. https://docs.inginious.org/en/v0.7/what_is_inginious.html; Universiteit Utrecht, Open Universiteit. (s. f.-a). Ask-Elle. https://ideas.science.uu.nl/AskElle/ Universiteit Utrecht, Open Universiteit. (s. f.-b). Ideas tutorial. https://ideas.science.uu.nl/tutorial/; Vittorini, P., Menini, S., Tonelli, S. (2021). An AI-Based System for Formative and Summative Assessment in Data Science Courses. International Journal of Artificial Intelligence in Education, 31(2), 159-185. https://doi.org/10.1007/s40593-020-00230-2; Yong Castillo, E., Bedoya Ortiz, D. H. (2022). De la educación tradicional a la educación mediada por TIC. https://pdf4pro.com/amp/view/de-la-educaci-243-n-tradicional-a-la-educaci-243-n-mediada-por-tic-733bf7.html; https://revistas.udistrital.edu.co/index.php/revcie/article/view/19662

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    المساهمون: Capodieci, N., Cavicchioli, R., Marongiu, A.

    Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000799624800008; volume:41; issue:6; firstpage:1679; lastpage:N/A; journal:IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS; http://hdl.handle.net/11380/1251456; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85107220009

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    المصدر: Uni-pluriversidad; Vol. 20 Núm. 1 (2020): Educación en Ciencias Naturales: perspectivas de investigación para la formación docente; 100-117 ; 2665-2730 ; 1657-4249

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    المصدر: Revista de Comunicación de la SEECI; Issue 52 - 15 July / 15 November 2020 - Year XXIV; 1-15 ; Revista de Comunicación de la SEECI; Número 52 - 15 julio / 15 noviembre 2020 - Año XXIV; 1-15 ; 2695-5156 ; 10.15198/seeci.2020.52

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    Dissertation/ Thesis
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