Comparative Analysis of Knowledge Control and Evaluation Methods in Higher Education

Nitza Davidovitch, Aleksandra Gerkerova, Olga Kyselyova

Research output: Contribution to journalArticlepeer-review


The article analyses knowledge control and evaluation methods in higher education, focusing on both standardized and non-standardized testing. It explores fundamental quality criteria and the perspectives of lecturers and students on the roles of these methods in assessing knowledge. The study evaluates attitudes towards both testing types, considering factors such as efficiency, usability, reliability, objectivity, accuracy, and content relevance. The findings suggest that combining standardized and non-standardized tests with problem-solving tasks significantly enhances knowledge assessment in technical disciplines, demonstrating the methods’ interdependence and complementarity. Data shows that both testing types achieve high scores, with standardized tests receiving an integral index of 0.72 and non-standardized tests scoring 0.69. Respondents positively evaluate the effectiveness and convenience of standardized tests, attributing their reliability, objectivity, accuracy, and practical orientation. Although there is a clear preference for standardized tests among participants, the benefits of non-standardized tests are also acknowledged. The study thus recommends a balanced approach, incorporating both methods to ensure an effective and high-quality assessment and knowledge control strategy in higher education.

Original languageEnglish
Article number505
JournalEducation Sciences
Issue number5
StatePublished - May 2024


  • content relevance
  • effectiveness
  • knowledge assessment
  • knowledge evaluation
  • non-standardized test
  • standardized test
  • test quality criteria
  • usability

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Developmental and Educational Psychology
  • Public Administration
  • Computer Science Applications


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