2,073
Views
5
CrossRef citations to date
0
Altmetric
COMPUTER SCIENCE

The use of machine learning “black boxes” explanation systems to improve the quality of school education

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon | (Reviewing editor) show all
Article: 1769349 | Received 23 Oct 2019, Accepted 06 May 2020, Published online: 01 Jun 2020

Figures & data

Figure 1. Flowchart of the research.

Figure 1. Flowchart of the research.

Figure 2. Q-Edu features for one of the schools in Kazakhstan.

Figure 2. Q-Edu features for one of the schools in Kazakhstan.

Figure 3. MCDSS&BBE workflow schema.

Figure 3. MCDSS&BBE workflow schema.

Figure 4. The influence of factors on the feature Q-Edu-3 part 1/2 (Proportion of graduates who scored a passing score on the UNT).

Figure 4. The influence of factors on the feature Q-Edu-3 part 1/2 (Proportion of graduates who scored a passing score on the UNT).

Figure 5. The influence of factors on the feature Q-Edu-3 part 2/2 (Proportion of graduates who scored a passing score on the UNT).

Figure 5. The influence of factors on the feature Q-Edu-3 part 2/2 (Proportion of graduates who scored a passing score on the UNT).

Figure 6. The influence of factors on the feature Q-Edu-4 part 1/2 (Percentage of graduates who continue their education after graduation).

Figure 6. The influence of factors on the feature Q-Edu-4 part 1/2 (Percentage of graduates who continue their education after graduation).

Figure 7. The influence of factors on the feature Q-Edu-4 part 2/2 (Percentage of graduates who continue their education after graduation).

Figure 7. The influence of factors on the feature Q-Edu-4 part 2/2 (Percentage of graduates who continue their education after graduation).

Figure 8. Influence of factors on the feature Q-Edu-1 part 1/2 (Percentage of graduates who received a scholarship for the best specialties at the best universities).

Figure 8. Influence of factors on the feature Q-Edu-1 part 1/2 (Percentage of graduates who received a scholarship for the best specialties at the best universities).

Figure 9. The influence of factors on the feature Q-Edu-1 part 2/2 (Percentage of graduates who received a scholarship for the best specialties at the best universities).

Figure 9. The influence of factors on the feature Q-Edu-1 part 2/2 (Percentage of graduates who received a scholarship for the best specialties at the best universities).

Figure 10. The influence of factors on the feature Q-Edu-2 part 1/2 (Number of elite achievements (gold medal (AltynBelgi), victories in national and international competitions)).

Figure 10. The influence of factors on the feature Q-Edu-2 part 1/2 (Number of elite achievements (gold medal (AltynBelgi), victories in national and international competitions)).

Figure 11. The influence of factors on the feature Q-Edu-2 part 2/2 (Number of elite achievements (gold medal (Altyn Belgi), victories in national and international competitions)).

Figure 11. The influence of factors on the feature Q-Edu-2 part 2/2 (Number of elite achievements (gold medal (Altyn Belgi), victories in national and international competitions)).

Figure 12. The effect of features on the Q-Edu-2 feature of school X.

Figure 12. The effect of features on the Q-Edu-2 feature of school X.

Figure 13. The effect of features on the Q-Edu-4 feature of school Y.

Figure 13. The effect of features on the Q-Edu-4 feature of school Y.