scholarly journals Diseño y uso de una aplicación web para el campo de la estadística considerando el modelo ASSURE y la ciencia de datos

2019 ◽  
Vol 12 (1) ◽  
pp. 48-71
Author(s):  
Ricardo-Adán Salas-Rueda ◽  
Érika-Patricia Salas-Rueda ◽  
Rodrigo-David Salas-Rueda
Keyword(s):  
Machine Learning ◽  
Web Application ◽  
Data Science ◽  
Hypothesis Test ◽  
Web Design ◽  
Positive Influence ◽  
Educational Process ◽  
Data Simulation ◽  
Teaching Learning ◽  
The Impact

RESUMEN: Esta investigación mixta tiene como objetivo analizar el impacto de laAplicación web para el Proceso Educativo sobre la Prueba de Hipótesis (APEPH)en la asignatura Instrumentación estadística para los negocios durante el ciclo escolar 2018. El modelo instruccional ASSURE permite la organización, construcción e implementación de la aplicación APEPH. Los resultados del aprendizaje automático (regresión lineal) con 60%, 70% y 80% de entrenamiento indican que el contenido, el diseño web y la simulación de datos en la aplicación APEPH influyen positivamente en el aprendizaje y la motivación del estudiante. Asimismo, la ciencia de datos permite la construcción de 6 modelos predictivos sobre el uso de la aplicación APEPH en el proceso educativo por medio de la técnica árbol de decisión. Por último, la aplicación APEPH facilita el proceso de enseñanza-aprendizaje sobre la estadística por medio del contenido, el diseño web y la simulación de datos. PALABRAS CLAVE: tecnología educativa; modelo ASSURE; enseñanza superior; ciencia de datos; aprendizaje automático.   ABSTRACT: This mixed research aims at analyzing the impact of the Web Application for the Educational Process on the Hypothesis Test (APEPH) in the Statistical Instrumentation for Business subject during the 2018 school year. ASSURE model allows the organization, construction and implementation of the APEPH application. The results of machine learning (linear regression) with 60%, 70% and 80% of training indicate that the content, web design and simulation of data in the APEPH application have a positive influence on the student's learning and motivation. Likewise, data science allows the construction of 6 predictive models on the use of the APEPH application in the educational process by means of the decision tree technique. Finally, the APEPH application facilitates the teaching-learning process on statistics through the content, web design and data simulation. KEYWORDS: educational technology; ASSURE model; higher education; data science; machine learning.

scholarly journals USE OF THE FLIPPED CLASSROOM TO DESIGN CREATIVE AND ACTIVE ACTIVITIES IN THE FIELD OF COMPUTER SCIENCE

2020 ◽  
Vol 13 (1) ◽  
pp. 136-151
Author(s):  
Ricardo Adán Salas Rueda
Keyword(s):  
Machine Learning ◽  
Computer Science ◽  
Quantitative Research ◽  
Flipped Classroom ◽  
Data Science ◽  
Collaborative Work ◽  
Educational Process ◽  
School Activities ◽  
Teaching Learning ◽  
The Impact

The objective of this quantitative research is to analyze the impact of the flipped classroom in the educational process on computer science considering data science and machine learning. This study proposes the consultation of YouTube videos (before class), collaborative work through MySQL software (during class) and individual work through MySQL software (after class) in the database subject. The results of machine learning (linear regression) indicate that school activities before, during and after the class positively influence the assimilation of knowledge and development of skills on the administration of the database. Likewise, data science identifies 6 predictive models on the use of the flipped classroom in the educational process by means of the decision tree technique. Finally, the flipped classroom improves the teaching-learning conditions through the performance of creative and active activities.

Impact of the WampServer application in Blended learning considering data science, machine learning, and neural networks

2020 ◽  
Vol 17 (3) ◽  
pp. 199-217 ◽  
Author(s):  
Ricardo-Adán Salas-Rueda
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Blended Learning ◽  
Learning Process ◽  
Data Science ◽  
Educational Process ◽  
School Activities ◽  
Web Programming ◽  
Teaching Learning ◽  
The Impact

This quantitative research aims to analyze the impact of the WampServer application in Blended learning during the educational process of computing through data science, machine learning, and neural networks. WampServer is a free application that allows the creation of websites considering the use of the database. This research proposes the use of Blended learning in the Development of applications subject in order to facilitate the teaching–learning process in the Database unit. The students discuss and reflect the concepts on the database in the classroom and carry out various school activities on the construction of websites at home through the use of the WampServer application. The sample consists of 28 students who took the Development of applications subject during the 2016 school year. The results of machine learning (linear regression) with 50, 60, and 70% of training indicate that the use of PHP, HTML, and SQL languages in the WampServer application positively influences the assimilation of knowledge and development of skills on web programming. Data science identifies six predictive models about the use of WampServer in the educational process of computing. On the other hand, neural networks determine the factors that influence the assimilation of knowledge and development of skills on web programming. This research recommends the incorporation of the WampServer application in the school activities related to the computer field to create new educational spaces and facilitate the teaching–learning process. Teachers can transform the educational context through the organization and realization of creative activities inside and outside the classroom. Finally, the use of WampServer in Blended learning allows creating new spaces for teaching and learning of computer science because this application favors the assimilation of knowledge and development of skills on web programming.

scholarly journals Design, Construction and Evaluation of a Web Application for the Teaching-Learning Process on Financial Mathematics

2020 ◽  
Vol 15 (08) ◽  
pp. 100
Author(s):  
Ricardo-Adán Salas-Rueda
Keyword(s):  
Machine Learning ◽  
Learning Process ◽  
Web Application ◽  
Quantitative Research ◽  
Data Science ◽  
Active Role ◽  
Financial Mathematics ◽  
Design Development ◽  
Teaching Learning ◽  
The Impact

This quantitative research aims to analyze the impact of the Web Application for the Teaching-Learning process on Simple Discount (WATLSD) through data science and machine learning (linear regression). The sample is composed of 42 students of the careers in Administration and Marketing who attended the Financial Mathematics course during the 2018 school year. The ADDIE model allows organizing the construction of the WATLSD through the stages of Analysis, Design, Development, Implementation and Evaluation. The results of machine learning indicate that the use of the WATLSD during the learning process positively influences the motivation, active role and development of mathematical skills. Likewise, data science establishes 3 predictive models on the use of the WATLSD in the educational field. Finally, advances in technology such as the WATLSD allow the creation of new virtual spaces for learning and teaching.

scholarly journals Innovation in the teaching-learning process of global climate change through the collaborative wall

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Ricardo-Adán Salas-Rueda ◽  
Gustavo De-La-Cruz-Martínez ◽  
Clara Alvarado-Zamorano ◽  
Estefanía Prieto-Larios
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Learning Process ◽  
Web Application ◽  
Data Science ◽  
Global Climate ◽  
Active Participation ◽  
Educational Process ◽  
Main Role ◽  
Teaching Learning

The aim of this mixed research is to analyze the students' perception about the use of the collaborative wall in the educational process of global climate change considering data science. The collaborative wall is a web application that allows the active participation of students and discussion of ideas in the classroom. During the face-to-face sessions, the students use mobile devices to share the information and images of the courses through the collaborative wall. The sample is made up of 74 students from the National Preparatory School No. 7 “Ezequiel A. Chávez” who took the Biology IV course during the 2019 school year. The results of machine learning (linear regression) indicate that the organization of ideas and dissemination of information in the collaborative wall positively influence the learning process of global climate change, motivation and interest of the students. Data science identifies 6 predictive models about the use of the collaborative wall in the field of Biology through the decision tree technique. In fact, the use of the collaborative wall in the Biology IV course facilitated the assimilation of knowledge about the global climate change and improved the active participation of the students in the classroom. Finally, the collaborative wall allows the creation of new educational spaces where students acquire the main role during the learning process.

scholarly journals Students' perceptions about the use of flipped classroom in the field of electronic electrical engineering

2021 ◽  
Vol 14 (1) ◽  
pp. 158
Author(s):  
Ricardo-Adán Salas-Rueda ◽  
Jesús Ramírez-Ortega
Keyword(s):  
Machine Learning ◽  
Flipped Classroom ◽  
Data Science ◽  
Electrical Engineering ◽  
Educational Process ◽  
Digital Design ◽  
Combinational Circuits ◽  
Design Data ◽  
School Year ◽  
The Impact

The objective of this mixed research is to analyze the impact of flipped classroom in the educational process on the Combinational Circuits through data science and machine learning. Flipped classroom facilitates the organization of active activities before, during and after the class. The participants are 17 students of Electronic Electrical Engineering who took the Digital Design course in the National Autonomous University of Mexico during the 2019 school year. The results of machine learning indicate that the consultation of the videos before the class, resolution of the exercises during the class through the Quartus software and realization of the laboratory practices after the class positively influence the development of skills on circuit design. Data science identifies 3 predictive models of the use of flipped classroom through the decision tree technique. Finally, teachers can improve the learning process, develop the skills of students, build new educational spaces and carry out creative activities through flipped classroom.

scholarly journals Analysis and Design of the Web Game on Descriptive Statistics through the ADDIE Model, Data Science and Machine Learning

2020 ◽  
Vol 8 (3) ◽  
pp. 245 ◽  
Author(s):  
Ricardo-Adán Salas-Rueda ◽  
Érika-Patricia Salas-Rueda ◽  
Rodrigo-David Salas-Rueda
Keyword(s):  
Machine Learning ◽  
Data Science ◽  
Qualitative Data ◽  
Positive Influence ◽  
Educational Process ◽  
Descriptive Statistics ◽  
Model Data ◽  
Analysis And Design ◽  
Addie Model ◽  
The Web

This mixed research aims to analysis and design the Web Game On Descriptive Statistics (WGODS) through the ADDIE model, data science and machine learning. The sample consists of 61 students from a university in Mexico. WGODS is a technological tool (quiz game) that presents various questions and answers about statistics (quantitative and qualitative data). The results of the linear regression (machine learning) indicate that the content and aesthetics of WGODS have a positive influence on the educational process. The ADDIE model allows the organization of WGODS considering the needs of the students. Also, data science identifies 4 predictive models on the use of WGODS in the field of statistics through the decision tree technique. Finally, teachers can transform the organization and development of school activities through the ADDIE model and technology. In particular, WGODS improves the educational process on the quantitative and qualitative data through a pleasant, attractive, simple, easy and useful web interface.

scholarly journals Flipped classroom: Pedagogical model necessary to improve the participation of the students during the learning process

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Ricardo-Adán Salas-Rueda
Keyword(s):  
Machine Learning ◽  
Learning Process ◽  
Flipped Classroom ◽  
Data Science ◽  
School Activities ◽  
School Year ◽  
Business Course ◽  
And Performance ◽  
Teaching Learning ◽  
The Impact

Nowadays, teachers can transform the organization and realization of school activities before, during and after the face-to-face sessions through the flipped classroom. The objective of this mixed research is to analyze the impact of the flipped classroom in the teaching-learning process on statistics considering data science and machine learning (linear regression). The sample consists of 61 students who took the Statistical Instrumentation for Business course during the 2018 school year. This research proposes the consultation of the YouTube videos before the class, performance of the collaborative exercises and use of the spreadsheet to check the results during the class and performance of the laboratory practices through the spreadsheet after the class. The results of machine learning (70%, 80% and 90% of training) indicate that the participation of the students before, during and after the class positively influences the assimilation of knowledge and development of mathematical skills about the frequencies and measures of central tendency. On the other hand, the decision tree technique identifies 6 predictive models on the use of the flipped classroom. Also, the students of the Statistical Instrumentation for Business course are motivated and satisfied to use the technological tools in the Introduction to statistics Unit. Finally, the flipped classroom allows the construction of new educational spaces and creation of creative activities before, during and after the class that favor the participation of the students during the learning process.

scholarly journals Analysis of Facebook in the Teaching-Learning Process about Mathematics Through Data Science

2021 ◽  
Vol 47 (2) ◽  
Author(s):  
Ricardo-Adán Salas-Rueda
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Mathematics Education ◽  
Learning Process ◽  
Data Science ◽  
Financial Mathematics ◽  
Communication Tool ◽  
Instructional Videos ◽  
Teaching Learning ◽  
The Impact

The aim of this quantitative research is to analyze the impact of Facebook in the teaching-learning process in financial mathematics education, using data science, machine learning, and neural networks. The sample is composed of 46 students from the Bachelor of Administration, Commerce and Marketing program at La Salle University. The results of machine learning (linear regression) indicate that sending messages, watching instructional videos, and publishing exercises on Facebook supports the teaching-learning process in financial mathematics. Likewise, data science identified six predictive models for the use of Facebook in the educational context, by means of the decision tree technique. Analysis using neural networks identified the influence of sending messages, watching instructional videos, and publishing exercises on Facebook during the assimilation of knowledge and development of mathematical skills. Finally, Facebook is a technological and communication tool that transforms the organization of teaching and learning activities in financial mathematics education.

scholarly journals Physically Active Breaks in the Teaching Process

2021 ◽  
Vol 45 (3) ◽  
pp. 235-242
Author(s):  
Ivan Holik ◽  
Vesna Štemberger ◽  
Petra Pejić Papak ◽  
Vilko Petrić ◽  
Matea Kitak
Keyword(s):  
Physical Activity ◽  
Educational Achievement ◽  
Positive Influence ◽  
Educational Process ◽  
T Test ◽  
Control Group ◽  
Teaching Process ◽  
Physically Active ◽  
Active Breaks ◽  
The Impact

The aim of this research is to study the impact of physically active breaks, accompanied by video materials, on the level of pupils’ educational achievement and their attitudes toward physically active breaks during the teaching process in the classroom. The research lasted for two months, and the apposite sample consisted of a total of 38 pupils aged 10 to 11. The influence of physically active breaks on the educational achievement was estimated by the percentage of correct answers in the tasks of mathematics, while the Croatian version of the questionnaire Attitudes towards the Physical Activity Scale (APAS) was used for evaluating the attitudes toward physically active breaks with video materials. Differ ences between the initial and final measuring inside the same group were tested by the Student’s dependent sample t-test, while for differences between the experimental and control group the Student’s independent sample t-test was used. The obtained results showed that the ability to solve mathematical tasks in the experimental group has significantly improved when compared to the control one and that physically active breaks have a positive influence on the pupils’ attitudes toward physical activity. The implementation of physically active breaks into teaching has an impact on pupils’ productivity in the educational process, while at the same time their need for movement is fulfilled.

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