@inproceedings{b8bffce8489f4f9fbac7fd0d10d02667,
title = "Assessing learning analytics impact on coding competence growth",
abstract = "The literature reveals that the effectiveness of learning analytics (LA) tools is best evaluated with a mixed-method approach and not only with summative measurements such as grades. A recent study on the impact of an LA tool over academic performance did not substantiate its effect in improving grades for coding tasks despite qualitative comments of experimental group participants indicating that the tool was effective in improving coding competences in Java. In analyzing this viewpoint, this paper describes the impact of LA formative feedback on the growth of students' coding competences.",
keywords = "Analytics, Coding, Competence, Time series",
author = "David Boulanger and Jeremie Seanosky and Rebecca Guillot and Isabelle Guillot and Claudia Guillot and Shawn Fraser and Vivekanandan Kumar and Kinshuk",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019 ; Conference date: 15-07-2019 Through 18-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ICALT.2019.00057",
language = "English",
series = "Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019",
pages = "170--172",
editor = "Maiga Chang and Sampson, {Demetrios G} and Ronghuai Huang and Gomes, {Alex Sandro} and Nian-Shing Chen and Bittencourt, {Ig Ibert} and Kinshuk Kinshuk and Diego Dermeval and Bittencourt, {Ibsen Mateus}",
booktitle = "Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019",
}