Cristian Cechinel

Cristian Cechinel
Federal University of Santa Catarina | UFSC · Campus Araranguá

PhD

About

132
Publications
16,260
Reads
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822
Citations
Citations since 2017
55 Research Items
576 Citations
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2017201820192020202120222023050100150
2017201820192020202120222023050100150
2017201820192020202120222023050100150
Additional affiliations
March 2017 - present
Federal University of Santa Catarina
Position
  • Professor (Associate)
Description
  • Professor at the Information and Communication Technologies Master Program Professor at the ICT Bachelor Program.
March 2016 - present
Universidade Federal de Pelotas
Position
  • Collaborator
Description
  • Supervisor at the Computer Science Graduate Program
Education
February 2009 - May 2012
University of Alcalá
Field of study
  • Information and Knowledge Engineering
March 1999 - December 2000
Federal University of Santa Catarina
Field of study
  • Computer Science
March 1995 - March 1999
Federal University of Santa Catarina
Field of study
  • Computer Science

Publications

Publications (132)
Conference Paper
Full-text available
A adoção de Learning Analytics (LA) em Instituições de Ensino Superior (IES) é considerada uma tarefa desafiadora, por sugerir mudanças na estrutura da IES e abranger atividades em diversos setores do sistema de ensino. Compreender o nível de maturidade dos projetos de LA existentes dentro das IES torna-se fundamental para que as instituições consi...
Article
Full-text available
This paper describes a nationwide learning analytics initiative in Uruguay focused on the future implementation of governmental policies to mitigate student retention and dropouts in secondary education. For this, data from a total of 258,440 students were used to generate automated models to predict students at risk of failure or dropping out. Dat...
Article
Full-text available
Developing communication skills in collaborative contexts is of special interest for educational institutions, since these skills are crucial to forming competent professionals for today’s world. New and accessible technologies open a way to analyze collaborative activities in face-to-face and non-face-to-face situations, where collaboration and st...
Conference Paper
Full-text available
Stakeholder engagement is a key aspect for the successful implementation of Learning Analytics (LA) in Higher Education Institutions (HEIs). Studies in Europe and Latin America (LATAM) indicate that, overall, instructors and students have positive views on LA adoption, but there are differences between their ideal expectations and what they conside...
Conference Paper
Learning Analytics Dashboards are important tools that help professors to follow and understand students behavior inside Learning Management Systems. Moodle is one of the most popular and used Learning Management Systems available nowadays, and a number of initiatives have been conducted to offer Learning Analytics features inside it. The present p...
Conference Paper
This work presents a model that can predict the student's risk of dropout using data from the first three semesters attended by Computer Science Undergraduate students. Nowadays , Educational Management Systems store a large amount of data from the interaction of not only students and professors but also of students and the educational environment....
Conference Paper
Learning Analytics Dashboards are useful tools for presenting data visually. This work presents a systematic mapping study of publications from 2010 to 2020 (May) about Learning Analytics and visualization tools for Moodle. A total of 238 papers were collected from Scopus, Web of Science, and CAPES Portal. From those, 51 were selected to be analyze...
Article
Full-text available
Even though the field of Learning Analytics (LA) has experienced an expressive growth in the last few years. The vast majority of the works found in literature are usually focusing on experimentation of techniques and methods over datasets restricted to a given discipline, course, or institution and are still few works manipulating region and count...
Article
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Es sabido que América Latina es la región más desigual del planeta. Para hacer frente a la realidad, una de las cuestiones clave es impulsar la colaboración en la región, que permitan que la innovación y el conocimiento sean instrumentos fundamentales para erradicar la pobreza, combatir el hambre y mejorar la salud, así como para alcanzar un desarr...
Article
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This paper describes the application of Data Science and Educational Data Mining techniques to data from 4529 students, seeking to identify behavior patterns and generate early predictive models at the Universidad de la República del Uruguay. The paper describes the use of data from different sources (a Virtual Learning Environment, survey, and aca...
Article
Full-text available
This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation. Howe...
Article
Full-text available
Agile frameworks continue to provide positive evidence regarding the benefits of their use in the software products. Since these methods develop professional skills in those who practice them, their knowledge and use will acquire greater demand in areas other than software development. For this reason, it is essential to recognize the key skills fo...
Article
Full-text available
Teaching introductory computer programming and choosing the proper tools and programming languages are challenging tasks. Most of the existing tools are not fully integrated into systems to support the teaching-learning processes. The present paper describes the usability evaluation of the Virtual Programming Lab module for Moodle (VPL-Moodle) base...
Article
Full-text available
Communicating in social and public environments are considered professional skills that can strongly influence career development. Therefore, it is important to proper train and evaluate students in this kind of abilities so that they can better interact in their professional relationships, during the resolution of problems, negotiations and confli...
Conference Paper
Full-text available
This work presents a systematic review about studies that use educational data mining techniques in the context of student dropout prediction and that were published in the Brazilian Congress on Computers in Education, which is the main academic event of the topic on the country. Contextual (educational systems, modalities and levels), techniques (...
Article
Full-text available
While technology has helped improve process efficiency in several domains, it still has an outstanding debt to education. In this article, we introduce NAIRA, a Multimodal Learning Analytics platform that provides Real-Time Feedback to foster collaborative learning activities’ efficiency. NAIRA provides real-time visualizations for students’ verbal...
Conference Paper
The quality control is an essential step in fabric industries. Detectdefects in the early stages can reduce costs and increase the qualityof the products. Currently, this task is mainly done by humans,whose judgment can be affected by fatigue. Computer vision-basedtechniques can automatically detect defects, reducing the need forhuman intervention....
Article
A Smart City can be defined as a high-tech city with several public and private services capable to strategically solve (or mitigate) problems normally generated by rapid urbanization. Different models of indicators have been developed to follow cities’ evolution to become a Smart City. An example of such model is the standard 37120 from the Intern...
Article
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Classroom teaching methodologies are gradually changing from masterclasses to active learning practices, and peer collaboration emerges as an essential skill to be developed. However, there are several challenges in evaluating collaborative activities more objectively, as well as to generate valuable information to teachers and appropriate feedback...
Article
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Contemporary education is a vast field that is concerned with the performance of education systems. In a formal e-learning context, student dropout is considered one of the main problems and has received much attention from the learning analytics research community, which has reported several approaches to the development of models for the early pr...
Article
The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and cate...
Article
Full-text available
The study aims to investigate the effects of a serious game on the performance of health science students in the education of the cardiovascular system anatomy. Experiments were performed using a serious game to teach the cardiovascular system anatomy to Physiotherapy undergraduate students. Data collection was performed through pre and post-tests...
Article
Full-text available
Algorithms and programming are some of the most challenging topics faced by students during undergraduate programs. Dropout and failure rates in courses involving such topics are usually high, which has raised attention towards the development of strategies to attenuate this situation. Machine learning techniques can help in this direction by provi...
Conference Paper
Full-text available
The present paper describes a sequential pattern mining based approach to identify the main corporal sequences in students oral presentations during a given course. Data from students presentations was collected through the use of Microsoft Kinect and Leikelen software, the total number of observations was 65. The 7 collected features were used as...
Article
Full-text available
Speaking and presenting in public are critical skills for academic and professional development. These skills are demanded across society, and their development and evaluation are a challenge faced by higher education institutions. There are some challenges to evaluate objectively, as well as to generate valuable information to professors and appro...
Article
Full-text available
Currently, the improvement of core skills appears as one of the most significant educational challenges of this century. However, assessing the development of such skills is still a challenge in real classroom environments. In this context, Multimodal Learning Analysis techniques appear as an attractive alternative to complement the development and...
Article
The present work describes the challenges faced during the development of a countrywide Learning Analytics study and tool focused on tracking and understanding the trajectories of Uruguayan students during their first three years of secondary education. Due to the large scale of the project, which covers an entire national educational system, sever...
Conference Paper
This paper presents models for predicting dengue fever rates in Rio de Janeiro city, Brazil, using information obtained from street-level and aerial images. The proposed methodology explores the ability of image features obtained through transfer learning from pre-trained Deep Convolutional Neural Networks (ConvNets) with Places data set as predict...
Conference Paper
The present work describes the challenges faced during the development of a countrywide Learning Analytics tool focused on tracking the trajectories of Uruguayan students during their first three years of secondary education. Due to the large-scale of the project, which covers an entire national educational system, several challenges and constraint...
Conference Paper
Full-text available
This work proposes the use of Discrete Wavelet Transform (DWT) to extract features from fabric images, aiming to detect visual defects. The images come from a database created by the authors themselves and made available online. In addition, four classification algorithms (Support Vector Machine, k-Nearest Neighbor, Decision Tree, and Naive Bayes)...
Chapter
Full-text available
Este capítulo tem como objetivo apresentar uma visão geral sobre os principais aspectos que devem ser considerados na avaliação e interpretação de modelos de classificação. Ao final da leitura deste capítulo, você deverá ser capaz de: • Realizar pequenos experimentos de geração de modelos de classificação utilizando técnicas de mineração de dados....
Article
Full-text available
Software engineering is the application of principles used in engineering design, development, testing, deployment, and management of software systems. One of the software engineering’s approaches, highly used in new industries, is agile development. User stories are a commonly used notation to capture user requirements in agile development. Nevert...
Conference Paper
Resumo-Multimodal Learning Analytics is a subfield of Learning Analytics that uses data coming from complex learning environments and collected through alternative devices that are different from those normally observed in the Learning Analytics literature. The present work uses data captured by Microsoft Kinect and organized with Lelikëlen system...
Article
Communication in Online Distance Learning courses revolves around two distinct forms: synchronous and asynchronous. A lot of work has been already developed focused on better understanding the roles that each of these forms of communication plays in Distance Learning and to which extent they are sufficient to provide rich and in-depth interaction e...
Article
Full-text available
A evasão é considerada um dos principais problemas relacionados com a Educação a Distância (EaD). Na EaD a interação entre estudantes e professores costuma ser mediada por um Ambiente Virtual de Aprendizagem (AVA), sendo gerado um grande volume de dados que fica registrado em arquivos. Assim, este artigo utiliza a mineração de dados para analisar o...
Article
Full-text available
This issue of the CLEIej consists of three main parts: i) a review paper on the state of the art of how contextual information extracted from a user task can help to improve searches for contents relevant to this task; ii) extended and revised versions of Selected Papers (which correspond to the second and third best paper from each track) presente...
Chapter
Full-text available
The present paper shares some experiences focused on teachers education in the field of Information and Communications Technologies (ICT) that were carried out with the participation of the Federal University of Pelotas (UFPel - Brazil). Precisely, we present 2 extension projects focused on teachers education on ICT, together with 2 other experienc...
Article
Purpose The purpose of this paper is to present the results of a comparison among three different approaches for recommending learning objects (LO) inside a repository. The comparison focuses not only on prediction errors but also on the coverage of each tested configuration. Design/methodology/approach The authors compared the offline evaluation...
Article
Full-text available
Student dropout is one of the main problems faced by distance learning courses. One of the major challenges for researchers is to develop methods to predict the behavior of students so that teachers and tutors are able to identify at-risk students as early as possible and provide assistance before they drop out or fail in their courses. Machine Lea...
Article
Full-text available
The learning objects recommending systems designed in the last decade employ different recommendation techniques, which mainly use collaborative filtering and content-based filtering. This paper aims to analyze a new recommendation approach, that has not been yet applied to learning objects communities, called critiquing-based recommendation. This...
Conference Paper
Full-text available
The enormous growth of learning objects on the internet and the availability of preferences of usage by the community of users in the existing learning object repositories have opened the possibility of testing the efficiency of different techniques on recommending learning materials to the users of these communities. In this work, we focus on some...
Conference Paper
Full-text available
The enormous growth of learning objects on the internet and the availability of preferences of usage by the community of users in the existing learning object repositories have opened the possibility of testing the efficiency of different techniques on recommending learning materials to the users of these communities. In this work, we focus on some...
Article
La integración de la Teoría de Servicios en el proceso de administración de la calidad en Objetos de Aprendizaje (OA) se espera permita desarrollar recursos instruccionales que proporcionen una mayor satisfacción a los estudiantes. El presente artículo expone un estudio de la satisfacción obtenida con el uso de objetos de aprendizaje, basado en el...
Article
Full-text available
The present editorial introduces a special issue of the IEEE-RITA journal devoted to Strategies to Improve the Usability of Learning Object Repositories (LORs). This special issue is sponsored by the Ibero-American Program of Science and Technology for Development (CYTED) under the scope of the RIURE network (Ibero-American Network for Usability Ed...
Article
Full-text available
The present paper presents the results of an alternative approach for automatically evaluating quality inside learning object repositories that considers lower-level measures of the resources as possible indicators of quality. It is known that current repositories face a difficult situation, as their amount of resources tends to increase more rapid...
Article
Full-text available
http://seer.ufrgs.br/index.php/rita/article/view/RITA-VOL23-NR2-124
Article
Full-text available
As altas taxas de reprovacao e evasao de estudantes sao frequentemente apontadas como dois dos principais obstaculos enfrentados na implementacao e consolidacao de cursos de Educacao a Distância. A identificacao com antecedencia de estudantes em risco pode auxiliar de maneira decisiva o trabalho de professores e tutores que teriam a oportunidade de...
Article
Full-text available
Objective: To ascertain the advantages of applying artificial neural networks to recognize patterns on lumbar spine radiographies in order to aid in the process of diagnosing primary osteoarthritis. Methods: This was a cross-sectional descriptive analytical study with a quantitative approach and an emphasis on diagnosis. The training set was com...
Conference Paper
Full-text available
A Educacao a Distância (EAD) e uma modalidade de ensino mediada por tecnologias em que discentes e docentes utilizam um Ambiente Virtual de Aprendizagem (AVA). Com o crescimento desta modalidade de ensino surgiram novos desafios e oportunidades pedagogicos e computacionais, relacionadas a um melhor aproveitamento dos recursos disponiveis. Um dos pr...