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Table 1 Communalities in exploratory factor analysis

From: Development and validation of an instrument to measure the Micro-Learning Environment of Students (MLEM)

Communalities

 

Initial

Extraction

1. Teachers are well-organized and follow the schedule

1.000

.665

2. Teachers are well-prepared for every session

1.000

.753

3. Learning objectives are mentioned for each session

1.000

.476

4. Teachers use metacognitive strategies (clues, hints, schemas, examples, questions) during the course delivery

1.000

.543

5. Teachers have effective communication skills

1.000

.591

6. Students are the center of attention in every learning environment

1.000

.423

7. Teachers value my feedback on the course and teaching activities

1.000

.399

8. Teachers encourage me to be an active and lifelong learner

1.000

.547

9. Teachers provide me appropriate guidance required for my learning

1.000

.609

10. Teachers guide me about learning resources for every session

1.000

.479

11. Teachers help me build new knowledge on my prior knowledge

1.000

.561

12. Teachers improve my knowledge, skills, and attitude with their teaching

1.000

.572

13. Teachers provide me with timely and constructive feedback on my learning

1.000

.447

14. Tasks and activities assigned to me correspond with my level of learning

1.000

.459

15. Teachers, being role models, are a source of inspiration for me

1.000

.615

16. Teachers have command over their subject/discipline

1.000

.626

17. Teachers help me in applying theoretical knowledge to practice

1.000

.609

18. Teachers are well-equipped with Online teaching and assessment techniques

1.000

.764

19. Teachers use multiple and innovative teaching methods

1.000

.784

20. Teachers emphasize critical thinking rather than rote memorization

1.000

.692

21. Teachers encourage a friendly learning environment

1.000

.551

22. Teachers have an unbiased approach toward all students

1.000

.954

23. Teachers mock and ridicule the students

1.000

.884

24. Teachers are interested in completing the course instead of clarification of concepts

1.000

.906

  1. Extraction Method: Principal Component Analysis