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Item Usability Study of a Pilot Database Interface for Consulting Open Educational Resources in the Context of the ENCORE Project(Springer, 2023-07-23) Vázquez-Ingelmo, A.; García-Holgado, A.; García-Peñalvo, F. J.; Chiarello, F.Open educational resources (OER) are materials such as textbooks, lessons, and other teaching and learning tools that are freely accessible for use. OER are gaining popularity as a means for educators to give their students access to high-quality, economical educational materials. OER can encourage sharing infor-mation and resources throughout the educational community while also helping lower the cost of education for both students and teachers. In this context, the ENCORE project seeks, among other goals, to assist students and workers in acquiring the skills necessary to deal with economic, ecological, and technolog-ical challenges as well as to address the skills gap between the supply of educa-tional institutions and the demand of employers and assist educators in staying abreast of the constantly changing landscape of skills. One of the first steps to reach the project’s goals is to build a robust database that contains quality OERs linked to green, digital, and entrepreneurial (GDE) skills. A graphical interface has been developed to retrieve and display information about the OERs, and, in turn, to make these resources available for any stakeholder. However, due to the significant quantity of information, it is important to develop an interface that enhances user experience. This work presents a usability study of the ENCORE project’s OER database interface carried out through a System Usability Scale (SUS) questionnaire, as well as future interface improvements based on the results.Item Are Textual Recommendations Enough? Guiding Physicians Toward the Design of Machine Learning Pipelines Through a Visual Platform(Springer, 2023-09-05) Vázquez-Ingelmo, A.; García-Holgado, A.; García-Peñalvo, F. J.; Pérez-Sánchez, P.; Antúnez-Muiños, P.; Sánchez-Puente, A.; Vicente-Palacios, V.; Dorado-Díaz, P. I.; Sánchez, P. L.The prevalence of artificial intelligence (AI) in our daily lives is often exaggerated by the media, leading to a positive public perception while overlook-ing potential problems. In the field of medicine, it is crucial to educate future health-care professionals on the advantages and disadvantages of AI and to emphasize the importance of creating fair, ethical, and reproducible models. The KoopaML platform was developed to provide an educational and user-friendly interface for inexperienced users to create AI pipelines. This study analyzes the quantitative and interaction data gathered from a usability test involving physicians from the University Hospital of Salamanca, with the aim of identifying new interaction paradigms to improve the platform’s usability. The results shown that the plat-form is difficult to learn for inexperienced users due to its contents related to AI. Following these results, a set of improvements are proposed for the next version of KoopaML, focusing on reducing the interactions needed to create the pipelines.Item Presentation of the paper “Improving success/completion ratio in large surveys: a proposal based on usability and engagement” in HCII 2017(Grupo GRIAL, 2017-07-12) Cruz-Benito, Juan; Therón, R.; García-Peñalvo, Francisco J.; Sánchez-Prieto, J. C.; Vázquez-Ingelmo, A.; Martín-González, M.; Martínez, J. M.This is the presentation of the paper entitled “Improving success/completion ratio in large surveys: a proposal based on usability and engagement” in the Emerging interactive systems for education session at the HCI International 2017 Conference, held in Vancouver, Canada, 9 - 14 July 2017. This paper presents a research focused on improve the success/completion ratio in large surveys. In this case, the large survey is the questionnaire produced by the Spanish Observatory for University Employability and Employment. This questionnaire is composed by about 32 and 60 questions and between 86 and 181 variables to be measured. The research is based on the previous experience of a past questionnaire proposed also by the Observatory composed also by a large amount of questions and variables to be measured (63-92 questions and 176-279 variables). After analysing the target population of the questionnaire (also comparing with the tar-get population of the previous questionnaire) and reviewing the literature, the researchers have designed 11 proposals for changes related to the questionnaire that could improve the users’ completion and success ratios (changes that could improve the users’ trust in the questionnaire, the questionnaire usability and user experience or the users’ engagement to the questionnaire). These changes are planned to be applied in the questionnaire in two main different experiments based on A/B test methodologies that will allow researchers to measure the effect of the changes in different populations and in an incremental way. The proposed changes have been assessed by five experts through an evaluation questionnaire. In this questionnaire, researchers gathered the score of each expert regarding to the pertinence, relevance and clarity of each change proposed. Regarding the results of this evaluation questionnaire, the reviewers fully supported 8 out of the 11 changes proposals, so they could be introduced in the questionnaire with no variation. On the other hand, 3 of the proposed changes or improvements are not fully supported by the experts (they have not received a score in the top first quartile of the 1-7 Likert scale). These changes will not be discarded immediately, because despite they have not received a Q1 score, they received a score within the second quartile of that 1-7 Likert scale, so could be reviewed to be enhanced to fit the OEEU’s context.