Digital Object Identifier
10.18870/hlrc.v16i1.1623
ORCID
Gulzhan Mazhibayeva, https://orcid.org/0000-0003-4719-0377; Serik Kenesbayev, https://orcid.org/0000-0002-0629-4383; Salamat Idrissov, https://orcid.org/0000-0001-9912-5863; Indira Salgozha, https://orcid.org/0000-0002-0377-0401; and Zhanel Akhmetova, https://orcid.org/0000-0003-0569-5422.
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.
Recommended Citation
Mazhibayeva, G.,
Kenesbayev, S.,
Idrissov, S.,
Salgozha, I.,
&
Akhmetova, Z.
(2026).
Use of Innovative Methods in the Creation of Testing and Assessment Materials for Future Computer Science Teachers.
Higher Learning Research Communications, 16 (1).
DOI:10.18870/hlrc.v16i1.1623
