Table 1.
Student groups selection.
Table 2.
Facility index interpretation.
Table 3.
Discrimination index interpretation.
Table 4.
Background characteristics of computer science students.
Table 5.
Comparison of teaching methods in computer science student learning outcomes—As based on background characteristics: Introduction to computer science.
Table 6.
Comparison of teaching methods in computer science student learning outcomes—As based on background characteristics: Numerical analysis algorithms.
Table 7.
Comparison of teaching methods in computer science student learning outcomes.
Table 8.
Facility index, discrimination index and discriminative efficiency of the 1-st semester course final exams of introduction to computer science.
Table 9.
Facility index, discrimination index and discriminative efficiency of the 3-rd semester course final exams of numerical analysis algorithms.