View in EDS

Use of Innovative Methods in the Creation of Testing and Assessment Materials for Future Computer Science Teachers

Saved in:
Bibliographic Details
Title: Use of Innovative Methods in the Creation of Testing and Assessment Materials for Future Computer Science Teachers
Language: English
Authors: Gulzhan Mazhibayeva (ORCID 0000-0003-4719-0377), Serik Kenesbayev (ORCID 0000-0002-0629-4383), Salamat Idrissov (ORCID 0000-0001-9912-5863), Indira Salgozha (ORCID 0000-0002-0377-0401), Zhanel Akhmetova (ORCID 0000-0003-0569-5422)
Source: Higher Learning Research Communications. 2026 16(1).
Availability: Walden University, LLC. 100 Washington Avenue South Suite 900, Minneapolis, MN 55401. Tel: 800-925-3368; Fax: 612-338-5092; e-mail: HLRCeditor@mail.waldenu.edu; Web site: https://scholarworks.waldenu.edu/hlrc/
Peer Reviewed: Y
Page Count: 23
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Foreign Countries, Computer Science Education, Test Construction, Preservice Teachers, Educational Innovation, Instructional Effectiveness, Evaluation Methods, Learner Engagement, Computer Uses in Education, Teaching Methods, Student Attitudes, Core Competencies
Geographic Terms: Kazakhstan
ISSN: 2157-6254
Abstract: Objectives: This study aims to examine the effectiveness for future computer science teachers of employing innovative methods when creating innovative testing and assessment materials. Methods: The methodology for this study involved analyzing survey data using statistical methods, such as descriptive analysis, correlation analysis, analysis of variance (ANOVA), regression, and factor analysis to evaluate the effectiveness of innovative methods in computer science education. Additionally, this study incorporated virtual labs, learning management systems, interactive quizzes, and artificial intelligence-based assessment tools to enhance learning outcomes and student engagement. We collected survey responses for this study from 56 student participants. We then developed a methodology to outline the data collection procedures, tools and analysis techniques, and the criteria for assessing the effectiveness of these innovative methods in education. We gathered empirical data. Results: The study findings suggest that using innovative methods, such as digital technologies and data analysis software, have enhanced the computer science learning process and increased student engagement. These approaches stimulate interest and motivation in computer science learning, as well as invigorate the educational process and increase student engagement. These methods offered the possibility of rapid and accurate feedback, which contributes to a more effective assessment of student knowledge and understanding of the material taught. These methods also make education more accessible and flexible and provide the opportunity for students to learn anytime and anywhere. Conclusions and Implications: The use of innovative teaching methods in the training of future computer science teachers leads to an improvement in the quality of student education and adapts to modern requirements, such as digital technologies and data analysis software. Additionally, these methods contribute to the development of necessary student skills. [Note: The citation information (v15 n1 2025) shown on the PDF is incorrect. The correct citation is v16 n1 2026.]
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1505440
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1505440
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1505440
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Use of Innovative Methods in the Creation of Testing and Assessment Materials for Future Computer Science Teachers
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gulzhan+Mazhibayeva%22">Gulzhan Mazhibayeva</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-4719-0377">0000-0003-4719-0377</externalLink>)<br /><searchLink fieldCode="AR" term="%22Serik+Kenesbayev%22">Serik Kenesbayev</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0629-4383">0000-0002-0629-4383</externalLink>)<br /><searchLink fieldCode="AR" term="%22Salamat+Idrissov%22">Salamat Idrissov</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9912-5863">0000-0001-9912-5863</externalLink>)<br /><searchLink fieldCode="AR" term="%22Indira+Salgozha%22">Indira Salgozha</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0377-0401">0000-0002-0377-0401</externalLink>)<br /><searchLink fieldCode="AR" term="%22Zhanel+Akhmetova%22">Zhanel Akhmetova</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0569-5422">0000-0003-0569-5422</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Higher+Learning+Research+Communications%22"><i>Higher Learning Research Communications</i></searchLink>. 2026 16(1).
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Walden University, LLC. 100 Washington Avenue South Suite 900, Minneapolis, MN 55401. Tel: 800-925-3368; Fax: 612-338-5092; e-mail: HLRCeditor@mail.waldenu.edu; Web site: https://scholarworks.waldenu.edu/hlrc/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 23
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– 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="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Construction%22">Test Construction</searchLink><br /><searchLink fieldCode="DE" term="%22Preservice+Teachers%22">Preservice Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Innovation%22">Educational Innovation</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Core+Competencies%22">Core Competencies</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Kazakhstan%22">Kazakhstan</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2157-6254
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives: This study aims to examine the effectiveness for future computer science teachers of employing innovative methods when creating innovative testing and assessment materials. Methods: The methodology for this study involved analyzing survey data using statistical methods, such as descriptive analysis, correlation analysis, analysis of variance (ANOVA), regression, and factor analysis to evaluate the effectiveness of innovative methods in computer science education. Additionally, this study incorporated virtual labs, learning management systems, interactive quizzes, and artificial intelligence-based assessment tools to enhance learning outcomes and student engagement. We collected survey responses for this study from 56 student participants. We then developed a methodology to outline the data collection procedures, tools and analysis techniques, and the criteria for assessing the effectiveness of these innovative methods in education. We gathered empirical data. Results: The study findings suggest that using innovative methods, such as digital technologies and data analysis software, have enhanced the computer science learning process and increased student engagement. These approaches stimulate interest and motivation in computer science learning, as well as invigorate the educational process and increase student engagement. These methods offered the possibility of rapid and accurate feedback, which contributes to a more effective assessment of student knowledge and understanding of the material taught. These methods also make education more accessible and flexible and provide the opportunity for students to learn anytime and anywhere. Conclusions and Implications: The use of innovative teaching methods in the training of future computer science teachers leads to an improvement in the quality of student education and adapts to modern requirements, such as digital technologies and data analysis software. Additionally, these methods contribute to the development of necessary student skills. [Note: The citation information (v15 n1 2025) shown on the PDF is incorrect. The correct citation is v16 n1 2026.]
– 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: EJ1505440
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1505440
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Computer Science Education
        Type: general
      – SubjectFull: Test Construction
        Type: general
      – SubjectFull: Preservice Teachers
        Type: general
      – SubjectFull: Educational Innovation
        Type: general
      – SubjectFull: Instructional Effectiveness
        Type: general
      – SubjectFull: Evaluation Methods
        Type: general
      – SubjectFull: Learner Engagement
        Type: general
      – SubjectFull: Computer Uses in Education
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Core Competencies
        Type: general
      – SubjectFull: Kazakhstan
        Type: general
    Titles:
      – TitleFull: Use of Innovative Methods in the Creation of Testing and Assessment Materials for Future Computer Science Teachers
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gulzhan Mazhibayeva
      – PersonEntity:
          Name:
            NameFull: Serik Kenesbayev
      – PersonEntity:
          Name:
            NameFull: Salamat Idrissov
      – PersonEntity:
          Name:
            NameFull: Indira Salgozha
      – PersonEntity:
          Name:
            NameFull: Zhanel Akhmetova
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2157-6254
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Higher Learning Research Communications
              Type: main
ResultId 1