Browsing by Author "Herskovic, Maida Valeria Paz"

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Protobject as a tool for teaching computational thinking to designers: Student perceptions on usability
    (Association for Computing Machinery, 2023) Bellino, Alessio; Herskovic, Maida Valeria Paz
    Due to the proliferation of technology in daily life and the growing number of ways in which humans and machines interact, the process of designing interactive elements has become critical. Nevertheless, design students are seldom able to design and implement interactive elements because of their limited programming skills. Although there have been some approaches to teach computational thinking using physical computing and focusing on solving real-world problems (e.g., electronic devices such as Arduino, using sensors and actuators), they often entail monetary expenses and require knowledgeable instructors, and are not catered to students without prior programming or electronics knowledge. Hence, we propose the use of Protobject, a low-cost tool that focuses on real-world applications that could be used to teach programming to design students. This study aims to evaluate students' perceptions regarding the usability of Protobject as a tool for learning computational thinking, as well as the clarity of the learning activities designed to teach computational thinking concepts by using Protobject.
  • No Thumbnail Available
    Item
    Tailored Process Feedback Through Process Mining for Surgical Procedures in Medical Training: The Central Venous Catheter Case
    (2019) De La Fuente Sanhueza, Rene Francisco; Fuentes Henríquez, Ricardo Sergio; Herskovic, Maida Valeria Paz; Muñoz Gama, Jorge; Sepúlveda Fernández, Marcos Ernesto; Salas Morales, Juan Carlos
    In healthcare, developing high procedural skill levels through training is a key factor for obtaining good clinical results on surgical procedures. Providing feedback to each student tailored to how the student has performed the procedure each time, improves the effectiveness of the training. Current state-of-the-art feedback relies on Checklists and Global Rating Scales to indicate whether all process steps have been performed and the quality of each execution step. However, there is a process perspective not successfully captured by those instruments, e.g., steps performed but in an undesired order, part of the process repeated an unnecessary number of times, or excessive transition time between steps. In this work, we propose a novel use of process mining techniques to effectively identify desired and undesired process patterns regarding rework, order, and performance, in order to complement the tailored feedback of surgical procedures using a process perspective. The approach has been effectively applied to analyze a real Central Venous Catheter installation training case. In the future, it is necessary to measure the actual impact of feedback on learning.