Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas最新文献_第2页

Aplicación en realidad virtual para concientización del peligro de sobreexposición a la radiación UV 虚拟现实应用，以提高人们对过度暴露于紫外线辐射危险的认识

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5524

Edgard Javier Hernán Vargas-Solís

引用次数: 0

HONEYCLOUD - Combining Research and Teaching in a Project for the Digitalization of Beekeeping HONEYCLOUD——养蜂数字化项目的科研与教学结合

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5526

A. Hilgarth, Michael Dorin, Sergio Montenegro

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What Can Innovation in Engineering Education Do for You as a Student and What can You Do as a Student for Innovation in Engineering Education? 作为一名学生，工程教育创新能为你做些什么?作为一名学生，你能为工程教育创新做些什么?

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5498

Carlos Alario-Hoyos

{"title":"What Can Innovation in Engineering Education Do for You as a Student and What can You Do as a Student for Innovation in Engineering Education?","authors":"Carlos Alario-Hoyos","doi":"10.26439/ciis2019.5498","DOIUrl":"https://doi.org/10.26439/ciis2019.5498","url":null,"abstract":"Innovation in education in general and innovation in engineering education in particular must be supported by properly collected and analyzed data to guide decision-making processes. Today it is possible to collect data from many more stakeholders(not just students), and also to collect much more data from each stakeholder. Nevertheless, low-level data collected by monitoring the interactions of the multiple stakeholders with learning platforms and other computing systems must be transformed into meaningful high-level indicators and visualizations that guide decision-making processes. The aim of this paper is to discuss some notable trends in data-driven innovation in engineering education, including 1) improvement of educational content; 2) improvement of learners’ social interactions; 3) improvement of learners’ self-regulated learning skills; and 4) prediction of learners’ behavior. However, there are also significant risks associated with data collection and processing, such as privacy, transparency, biases, misinterpretations, etc., which must also be taken into account, and require creating specialized units and training the personnel in data management.","PeriodicalId":365289,"journal":{"name":"Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133117887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Red neuronal convolucional para la detección de aves exóticas en peligro de extinción 用于检测濒危外来鸟类的卷积神经网络

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5513

Guillermo Eduardo Narváez

引用次数: 0

Metrics to Understand Future Maintenance Effort Required of a Complicated Source Code 用于理解复杂源代码所需的未来维护工作的度量

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5510

Michael Dorin, Sergio Montenegro

引用次数: 0

Modelo de selección de plataforma educativa virtual con mapas cognitivos difusos (FCM) 带有模糊认知地图(FCM)的虚拟教育平台选择模型

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5501

Manuela Linares-Barbero

{"title":"Modelo de selección de plataforma educativa virtual con mapas cognitivos difusos (FCM)","authors":"Manuela Linares-Barbero","doi":"10.26439/ciis2019.5501","DOIUrl":"https://doi.org/10.26439/ciis2019.5501","url":null,"abstract":"La tendencia mundial contemporánea en educación se inclina hacia la formación virtual, la cual ofrece mayor versatilidad en lo referente a la educación a distancia, pues cuenta con numerosas herramientas al alcance de los estudiantes. Los cursos en línea, en auge, especialmente los de modalidad abierta en línea y masivos (massive online open course - MOOC), han logrado difundir el conocimiento a la mayor cantidad de alumnos en poco tiempo, fenómeno que antes no era posible. Al iniciarse la transformación hacia la educación virtual, es indispensable el uso de una plataforma virtual. La decisión sobre esta determina las herramientas que se tengan disponibles, así como las posibilidades de ofrecer cursos semipresenciales, cursos 100 % en línea, cursos presenciales con talleres virtuales o cursos abiertos masivos en línea (MOOC). Por tal razón, hemos descubierto la importancia del desarrollo de un modelo original para la selección de una plataforma virtual educativa. Para el propósito de esta investigación elaboraremos el mapa cognitivo difuso con dos rondas de entrevistas a expertos en el tema.","PeriodicalId":365289,"journal":{"name":"Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115550716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Análisis de sentimientos de noticias escritas usando un modelo basado en la red neuronal long short-term memory para determinar si las noticias positivas mejoran el estado de ánimo de las personas 使用基于长期短期记忆神经网络的模型分析书面新闻的情绪，以确定积极的新闻是否改善人们的情绪

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5500

Gustavo Adolfo Reyes-Paredes

引用次数: 1

G Suite para la educación en la universidad pública de la Región Cusco del Perú 秘鲁库斯科地区公立大学的G教育套房

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5532

Hernán Nina-Hanco

引用次数: 3

Implementing Machine Learning Algorithms to Predict Donor Status: Preliminary Work with Data from an Institution of Higher Learning 实现机器学习算法预测捐赠者状态:来自高等院校数据的初步工作

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5527

Cecilia Coulter, Paula Baingana, Pascaline Mukakamari

{"title":"Implementing Machine Learning Algorithms to Predict Donor Status: Preliminary Work with Data from an Institution of Higher Learning","authors":"Cecilia Coulter, Paula Baingana, Pascaline Mukakamari","doi":"10.26439/ciis2019.5527","DOIUrl":"https://doi.org/10.26439/ciis2019.5527","url":null,"abstract":"Identifying potential donors allows institutions of higher learning to conduct more effective fundraising campaigns. Machine learning classification algorithms can be useful in building models to predict donor status. However, when data contains imbalanced classes, like the data we used for this project, models tend to over-index the majority class, which was non-donors in this case. These results have significant implications for institutions in that they may not pursue entities that may, in fact, become donors. In order to improve the usefulness of our model, we used a resampling technique called random undersampling (RUS) to balance the data and also the area under the receiver operating characteristic curve (AUC-ROC) metric to evaluate the performance. Our final model improved its predictive power from 67% to 76%. Institutions of higher learning can use this machine learning model to more efficiently target the pool of potential donors, saving money and time. Future research will focus on improving the predictive accuracy of our model by exploring other data manipulation techniques that minimize the effect of imbalanced data, changing thresholds for classification algorithms, and using genetic programming and feature engineering.","PeriodicalId":365289,"journal":{"name":"Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identificación de microexpresiones faciales durante el proceso de selección de personal 在招聘过程中识别面部微表情

Innovando la educación en tecnología. Actas del II Congreso Internacional de Ingeniería de Sistemas Pub Date : 1900-01-01 DOI: 10.26439/ciis2019.5525

L. Villanueva

引用次数: 0