View in EDS

Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20

Saved in:
Bibliographic Details
Title: Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20
Language: English
Authors: Tianjiao Zhao (ORCID 0000-0002-1897-3797), Xi Lin (ORCID 0000-0003-2387-4117), Ri Na (ORCID 0000-0002-6465-528X)
Source: European Journal of Education. 2025 60(4).
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: 18
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Construction (Process), Construction Industry, Building Design, Undergraduate Students, Artificial Intelligence, Computer Oriented Programs, Computer Assisted Design, Technology Uses in Education, Automation, Instructional Material Evaluation, Student Attitudes, Critical Thinking, Core Competencies
DOI: 10.1111/ejed.70287
ISSN: 0141-8211
1465-3435
Abstract: The integration of artificial intelligence (AI) into construction education is transforming how future professionals approach estimation tasks. This study examines the role of Togal AI--an AI-powered estimation tool--alongside the industry-preferred Bluebeam Revu 20 in undergraduate construction education. Through a structured experiment with 60 students, we tracked flooring area estimations for a school building, collecting both quantitative performance metrics and qualitative survey responses. Key findings show Togal AI accelerated task completion by 51.3%, improved measurement accuracy by 20.4%, enhanced team coordination by 28.4% and sped up change order processing by 75.7%, while boosting confidence by 55.2%. However, semi-structured interviews revealed concerns that over-reliance on automation might hinder critical thinking. This highlights the importance of curricular frameworks positioning AI as an educational support tool rather than a replacement for essential competencies. This study offers practical strategies for integrating AI tools into estimation education. While Togal AI automates measurement, freeing cognitive capacity for large, complex projects, its technical limitations, oversimplified markups and risk of over-reliance on AI underscore the need for curricula that balance AI efficiency with manual estimation skills. These findings inform the modernization of academic curricula, ensuring AI enhances rather than replaces essential competencies in construction education.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1490489
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1490489
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Tianjiao+Zhao%22">Tianjiao Zhao</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1897-3797">0000-0002-1897-3797</externalLink>)<br /><searchLink fieldCode="AR" term="%22Xi+Lin%22">Xi Lin</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-2387-4117">0000-0003-2387-4117</externalLink>)<br /><searchLink fieldCode="AR" term="%22Ri+Na%22">Ri Na</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6465-528X">0000-0002-6465-528X</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22European+Journal+of+Education%22"><i>European Journal of Education</i></searchLink>. 2025 60(4).
– 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: 18
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research<br />Tests/Questionnaires
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Construction+%28Process%29%22">Construction (Process)</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+Industry%22">Construction Industry</searchLink><br /><searchLink fieldCode="DE" term="%22Building+Design%22">Building Design</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Oriented+Programs%22">Computer Oriented Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Design%22">Computer Assisted Design</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Material+Evaluation%22">Instructional Material Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Critical+Thinking%22">Critical Thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Core+Competencies%22">Core Competencies</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/ejed.70287
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0141-8211<br />1465-3435
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The integration of artificial intelligence (AI) into construction education is transforming how future professionals approach estimation tasks. This study examines the role of Togal AI--an AI-powered estimation tool--alongside the industry-preferred Bluebeam Revu 20 in undergraduate construction education. Through a structured experiment with 60 students, we tracked flooring area estimations for a school building, collecting both quantitative performance metrics and qualitative survey responses. Key findings show Togal AI accelerated task completion by 51.3%, improved measurement accuracy by 20.4%, enhanced team coordination by 28.4% and sped up change order processing by 75.7%, while boosting confidence by 55.2%. However, semi-structured interviews revealed concerns that over-reliance on automation might hinder critical thinking. This highlights the importance of curricular frameworks positioning AI as an educational support tool rather than a replacement for essential competencies. This study offers practical strategies for integrating AI tools into estimation education. While Togal AI automates measurement, freeing cognitive capacity for large, complex projects, its technical limitations, oversimplified markups and risk of over-reliance on AI underscore the need for curricula that balance AI efficiency with manual estimation skills. These findings inform the modernization of academic curricula, ensuring AI enhances rather than replaces essential competencies in construction education.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1490489
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1490489
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/ejed.70287
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
    Subjects:
      – SubjectFull: Construction (Process)
        Type: general
      – SubjectFull: Construction Industry
        Type: general
      – SubjectFull: Building Design
        Type: general
      – SubjectFull: Undergraduate Students
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Computer Oriented Programs
        Type: general
      – SubjectFull: Computer Assisted Design
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Instructional Material Evaluation
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Critical Thinking
        Type: general
      – SubjectFull: Core Competencies
        Type: general
    Titles:
      – TitleFull: Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tianjiao Zhao
      – PersonEntity:
          Name:
            NameFull: Xi Lin
      – PersonEntity:
          Name:
            NameFull: Ri Na
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 0141-8211
            – Type: issn-electronic
              Value: 1465-3435
          Numbering:
            – Type: volume
              Value: 60
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: European Journal of Education
              Type: main
ResultId 1