Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital Technology

<p class="p1">During the first semester of 2008 a research study was conducted with incoming freshman in the School of Administrative and Social Sciences (<span class="s1">FCA</span>y<span class="s1">S</span>—acronym in Spanish) of the Ense...

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Main Authors: Javier Organista Sandoval, Lewis McAnally Salas, Patricio Henríquez Ritchie
Format: Article
Language:English
Published: Universidad Autónoma de Baja California 2012-05-01
Series:Revista Electrónica de Investigación Educativa
Subjects:
Online Access:http://redie.uabc.mx/redie/article/view/293
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spelling doaj-82ced54e822d49e396098e083c5c5ab72020-12-02T13:20:06ZengUniversidad Autónoma de Baja CaliforniaRevista Electrónica de Investigación Educativa1607-40412012-05-01141284Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital TechnologyJavier Organista Sandoval0Lewis McAnally Salas1Patricio Henríquez Ritchie2Instituto de Investigación y Desarrollo Educativo Universidad Autónoma de Baja CaliforniaInstituto de Investigación y Desarrollo Educativo Universidad Autónoma de Baja CaliforniaInstituto de Investigación y Desarrollo Educativo Universidad Autónoma de Baja California<p class="p1">During the first semester of 2008 a research study was conducted with incoming freshman in the School of Administrative and Social Sciences (<span class="s1">FCA</span>y<span class="s1">S</span>—acronym in Spanish) of the Ensenada campus of the Universidad Autónoma de Baja California (<span class="s1">UABC</span>). The purpose was to characterize the new students based on academic achievement (grade point averages in high school and the first semester of college), family context (parents’ schooling) and use of technology (computers and the Web). A survey of technology use developed within the framework of the research was applied to a sample of 438 students. The results show that the majority of the students are female (2 out of 3) and that 4 out of 5 have computers at home. About 80% of the students showed an intermediate level of proficiency in computer technology and the Web. Two classifying techniques were employed: <span class="s1">CHAID</span> and a cluster analysis to explore the development of patterns based on the above-mentioned variables. The result of the applied <span class="s1">CHAID</span> analysis highlights the importance of the variables of gender, parental schooling and level of immersion in the Web for the classification. The cluster analysis (k-means) generated four clusters; of these, cluster 1, which had the lowest average grades and the highest levels of computer and Web immersion, is noteworthy, because it suggests a non-educational use of technological resources. In contrast, cluster 4 presented the highest grade point average in college, a moderate level of computer use and a low level of immersion in the Web. This suggests a greater commitment to academics by reduced use of the computer and the Web for recreational purposes.</p>http://redie.uabc.mx/redie/article/view/293Tecnología educativaclasificación de estudiantesestudiantes de primer ingreso.
collection DOAJ
language English
format Article
sources DOAJ
author Javier Organista Sandoval
Lewis McAnally Salas
Patricio Henríquez Ritchie
spellingShingle Javier Organista Sandoval
Lewis McAnally Salas
Patricio Henríquez Ritchie
Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital Technology
Revista Electrónica de Investigación Educativa
Tecnología educativa
clasificación de estudiantes
estudiantes de primer ingreso.
author_facet Javier Organista Sandoval
Lewis McAnally Salas
Patricio Henríquez Ritchie
author_sort Javier Organista Sandoval
title Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital Technology
title_short Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital Technology
title_full Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital Technology
title_fullStr Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital Technology
title_full_unstemmed Classification of Incoming Freshman in a Public University Based on the Variables of Academic Performance, Use of Digital Technology
title_sort classification of incoming freshman in a public university based on the variables of academic performance, use of digital technology
publisher Universidad Autónoma de Baja California
series Revista Electrónica de Investigación Educativa
issn 1607-4041
publishDate 2012-05-01
description <p class="p1">During the first semester of 2008 a research study was conducted with incoming freshman in the School of Administrative and Social Sciences (<span class="s1">FCA</span>y<span class="s1">S</span>—acronym in Spanish) of the Ensenada campus of the Universidad Autónoma de Baja California (<span class="s1">UABC</span>). The purpose was to characterize the new students based on academic achievement (grade point averages in high school and the first semester of college), family context (parents’ schooling) and use of technology (computers and the Web). A survey of technology use developed within the framework of the research was applied to a sample of 438 students. The results show that the majority of the students are female (2 out of 3) and that 4 out of 5 have computers at home. About 80% of the students showed an intermediate level of proficiency in computer technology and the Web. Two classifying techniques were employed: <span class="s1">CHAID</span> and a cluster analysis to explore the development of patterns based on the above-mentioned variables. The result of the applied <span class="s1">CHAID</span> analysis highlights the importance of the variables of gender, parental schooling and level of immersion in the Web for the classification. The cluster analysis (k-means) generated four clusters; of these, cluster 1, which had the lowest average grades and the highest levels of computer and Web immersion, is noteworthy, because it suggests a non-educational use of technological resources. In contrast, cluster 4 presented the highest grade point average in college, a moderate level of computer use and a low level of immersion in the Web. This suggests a greater commitment to academics by reduced use of the computer and the Web for recreational purposes.</p>
topic Tecnología educativa
clasificación de estudiantes
estudiantes de primer ingreso.
url http://redie.uabc.mx/redie/article/view/293
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