View in EDS

Strengthening Statistical Reasoning in Students of Engineering Programs through Active Methodologies

Saved in:
Bibliographic Details
Title: Strengthening Statistical Reasoning in Students of Engineering Programs through Active Methodologies
Language: English
Authors: Hugo Alvarado Martínez (ORCID 0000-0002-3729-3631), Johanna Díaz Miranda (ORCID 0009-0004-7894-3559), María Lidia Retamal Pérez (ORCID 0000-0002-6696-0077), Luis R. Pino-Fan (ORCID 0000-0003-4060-7408)
Source: Teaching Statistics: An International Journal for Teachers. 2026 48(2):116-129.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 14
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Engineering Education, Logical Thinking, Data Analysis, Active Learning, Statistics, Student Attitudes
DOI: 10.1111/test.70011
ISSN: 0141-982X
1467-9639
Abstract: Data analysis is essential in engineering sciences for the making of informed decisions. This article characterizes the level of statistical reasoning in engineering students based on the model of Wild and Pfannkuch. Through a research focus, the creation of statistical problems, the formulation of researchable questions, and the validation of hypotheses are promoted. It was observed that, even though the students valued the model of reasoning, there were difficulties in the bivariate data analysis. However, the research strategy fostered a more active role, encouraging the elaboration of questions and argumentation based on the descriptive analysis of the data. The results show a positive attitude toward statistics and the analysis of real situations, suggesting the potential of this methodology to strengthen statistical reasoning in engineering contexts.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1504600
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1504600
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Strengthening Statistical Reasoning in Students of Engineering Programs through Active Methodologies
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hugo+Alvarado+Martínez%22">Hugo Alvarado Martínez</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3729-3631">0000-0002-3729-3631</externalLink>)<br /><searchLink fieldCode="AR" term="%22Johanna+Díaz+Miranda%22">Johanna Díaz Miranda</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0004-7894-3559">0009-0004-7894-3559</externalLink>)<br /><searchLink fieldCode="AR" term="%22María+Lidia+Retamal+Pérez%22">María Lidia Retamal Pérez</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6696-0077">0000-0002-6696-0077</externalLink>)<br /><searchLink fieldCode="AR" term="%22Luis+R%2E+Pino-Fan%22">Luis R. Pino-Fan</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-4060-7408">0000-0003-4060-7408</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Teaching+Statistics%3A+An+International+Journal+for+Teachers%22"><i>Teaching Statistics: An International Journal for Teachers</i></searchLink>. 2026 48(2):116-129.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 14
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Engineering+Education%22">Engineering Education</searchLink><br /><searchLink fieldCode="DE" term="%22Logical+Thinking%22">Logical Thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Active+Learning%22">Active Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/test.70011
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0141-982X<br />1467-9639
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Data analysis is essential in engineering sciences for the making of informed decisions. This article characterizes the level of statistical reasoning in engineering students based on the model of Wild and Pfannkuch. Through a research focus, the creation of statistical problems, the formulation of researchable questions, and the validation of hypotheses are promoted. It was observed that, even though the students valued the model of reasoning, there were difficulties in the bivariate data analysis. However, the research strategy fostered a more active role, encouraging the elaboration of questions and argumentation based on the descriptive analysis of the data. The results show a positive attitude toward statistics and the analysis of real situations, suggesting the potential of this methodology to strengthen statistical reasoning in engineering contexts.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1504600
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1504600
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/test.70011
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 116
    Subjects:
      – SubjectFull: Engineering Education
        Type: general
      – SubjectFull: Logical Thinking
        Type: general
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Active Learning
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
    Titles:
      – TitleFull: Strengthening Statistical Reasoning in Students of Engineering Programs through Active Methodologies
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hugo Alvarado Martínez
      – PersonEntity:
          Name:
            NameFull: Johanna Díaz Miranda
      – PersonEntity:
          Name:
            NameFull: María Lidia Retamal Pérez
      – PersonEntity:
          Name:
            NameFull: Luis R. Pino-Fan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 0141-982X
            – Type: issn-electronic
              Value: 1467-9639
          Numbering:
            – Type: volume
              Value: 48
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Teaching Statistics: An International Journal for Teachers
              Type: main
ResultId 1