Use of Innovative Methods in the Creation of Testing and Assessment Materials for Future Computer Science Teachers
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| Title: | Use of Innovative Methods in the Creation of Testing and Assessment Materials for Future Computer Science Teachers |
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| Language: | English |
| Authors: | Gulzhan Mazhibayeva (ORCID |
| 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 |
| 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.] |
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| ISSN: | 2157-6254 |
