Development and Validation of a Diagnostic Instrument of Previous Knowledge in Mathematics for Engineering Students.

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Title: Development and Validation of a Diagnostic Instrument of Previous Knowledge in Mathematics for Engineering Students.
Authors: Silva Monsalve, Alexandra María1 alexandrasilva@usta.edu.co, Sandoval Serrano, Marcos Alejo1 marcosandoval@usta.edu.co, Pacheco Doria, Dilia1 diliapacheco@usta.edu.co
Source: International Journal of Science, Mathematics & Technology Learning. Dec2025, Vol. 32 Issue 2, p1-22. 22p.
Subject Terms: *Engineering students, *Prior learning, *Academic support programs, *Measuring instruments, *Postsecondary education, Mathematics, Computer engineering, Statistical reliability
Geographic Terms: Colombia, Bogotá (Colombia)
Abstract: This work is oriented to identify the level of previous knowledge in mathematics that students entering the professional career of computer engineering, belonging to the Universidad Santo Tomás in Bogotá (Colombia) should have. Methodologically, a descriptive exploratory research was carried out, in which the first phase investigated the areas in basic mathematics required for engineers, identifying the topics in arithmetic, algebra, mathematical reasoning, and geometry; in the second phase, an ad-hoc instrument was elaborated, composed of twenty-six questions; later it was verified in terms of reliability and validity, applying statistical techniques and expert judgment; then this instrument was applied to the population under study. Thus, the results showed that there are mathematical difficulties, which constitute an opportunity for improvement in the formulation of a leveling program to initiate higher studies in engineering programs. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Science, Mathematics & Technology Learning is the property of Common Ground Research Networks and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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Header DbId: ehh
DbLabel: Education Research Complete
An: 190499793
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Development and Validation of a Diagnostic Instrument of Previous Knowledge in Mathematics for Engineering Students.
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  Data: <searchLink fieldCode="AR" term="%22Silva+Monsalve%2C+Alexandra+María%22">Silva Monsalve, Alexandra María</searchLink><relatesTo>1</relatesTo><i> alexandrasilva@usta.edu.co</i><br /><searchLink fieldCode="AR" term="%22Sandoval+Serrano%2C+Marcos+Alejo%22">Sandoval Serrano, Marcos Alejo</searchLink><relatesTo>1</relatesTo><i> marcosandoval@usta.edu.co</i><br /><searchLink fieldCode="AR" term="%22Pacheco+Doria%2C+Dilia%22">Pacheco Doria, Dilia</searchLink><relatesTo>1</relatesTo><i> diliapacheco@usta.edu.co</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Science%2C+Mathematics+%26+Technology+Learning%22">International Journal of Science, Mathematics & Technology Learning</searchLink>. Dec2025, Vol. 32 Issue 2, p1-22. 22p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Engineering+students%22">Engineering students</searchLink><br />*<searchLink fieldCode="DE" term="%22Prior+learning%22">Prior learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+support+programs%22">Academic support programs</searchLink><br />*<searchLink fieldCode="DE" term="%22Measuring+instruments%22">Measuring instruments</searchLink><br />*<searchLink fieldCode="DE" term="%22Postsecondary+education%22">Postsecondary education</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+engineering%22">Computer engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Colombia%22">Colombia</searchLink><br /><searchLink fieldCode="DE" term="%22Bogotá+%28Colombia%29%22">Bogotá (Colombia)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This work is oriented to identify the level of previous knowledge in mathematics that students entering the professional career of computer engineering, belonging to the Universidad Santo Tomás in Bogotá (Colombia) should have. Methodologically, a descriptive exploratory research was carried out, in which the first phase investigated the areas in basic mathematics required for engineers, identifying the topics in arithmetic, algebra, mathematical reasoning, and geometry; in the second phase, an ad-hoc instrument was elaborated, composed of twenty-six questions; later it was verified in terms of reliability and validity, applying statistical techniques and expert judgment; then this instrument was applied to the population under study. Thus, the results showed that there are mathematical difficulties, which constitute an opportunity for improvement in the formulation of a leveling program to initiate higher studies in engineering programs. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Science, Mathematics & Technology Learning is the property of Common Ground Research Networks and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.18848/2327-7971/CGP/v32i02/1-22
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      – Code: eng
        Text: English
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        PageCount: 22
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    Subjects:
      – SubjectFull: Engineering students
        Type: general
      – SubjectFull: Prior learning
        Type: general
      – SubjectFull: Academic support programs
        Type: general
      – SubjectFull: Measuring instruments
        Type: general
      – SubjectFull: Postsecondary education
        Type: general
      – SubjectFull: Mathematics
        Type: general
      – SubjectFull: Computer engineering
        Type: general
      – SubjectFull: Statistical reliability
        Type: general
      – SubjectFull: Colombia
        Type: general
      – SubjectFull: Bogotá (Colombia)
        Type: general
    Titles:
      – TitleFull: Development and Validation of a Diagnostic Instrument of Previous Knowledge in Mathematics for Engineering Students.
        Type: main
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          Name:
            NameFull: Silva Monsalve, Alexandra María
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            NameFull: Sandoval Serrano, Marcos Alejo
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            NameFull: Pacheco Doria, Dilia
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 32
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            – TitleFull: International Journal of Science, Mathematics & Technology Learning
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