1
1. What is assessment in ELT?
1. What is assessment in ELT?
Assessment in ELT is the systematic collection of evidence to evaluate learners’ language knowledge and skills.
2. Why is assessment important for teaching and learning?
2. Why is assessment important for teaching and learning?
It helps identify learner strengths and weaknesses, guide instruction, motivate students, and provide evidence of learning.
3. What is assessment FOR learning?
3. What is assessment FOR learning?
It is formative assessment used during learning to give feedback and guide improvement.
4. What is assessment OF learning?
4. What is assessment OF learning?
It is summative assessment used to measure learning outcomes at the end of a course or unit.
5. What is diagnostic assessment used for?
5. What is diagnostic assessment used for?
It identifies learners’ existing strengths and difficulties before instruction begins.
6. Name two common sources of evidence of learning in ELT.
6. Name two common sources of evidence of learning in ELT.
Written work and oral performances (e.g., essays and presentations).
7. What does validity mean in language assessment?
7. What does validity mean in language assessment?
Validity means the assessment measures the intended language skill, not unrelated factors.
8. What does reliability mean in assessment?
8. What does reliability mean in assessment?
Reliability refers to consistency of scores across different occasions, raters, or conditions.
9. Give one example of a selected-response assessment task.
9. Give one example of a selected-response assessment task.
A multiple-choice grammar test.
10. How can AI help teachers save time in assessment?
10. How can AI help teachers save time in assessment?
By automatically scoring tests and providing instant feedback.
11. How does AI improve reliability in language assessment?
11. How does AI improve reliability in language assessment?
It applies consistent scoring rules and reduces human bias and fatigue.
12. Why can accent bias be a problem in AI-based speaking assessment?
on.
12. Why can accent bias be a problem in AI-based speaking assessment?
Because AI systems may be trained on limited accent data and misjudge non-native pronunciation.
13. What is an example of an invalid language assessment task?
13. What is an example of an invalid language assessment task?
Testing speaking ability by asking students to memorize and repeat answers.
14. How does formative AI feedback support language learning?
14. How does formative AI feedback support language learning?
It provides immediate, specific feedback that helps learners self-correct.
15. Compare selected-response and constructed-response tasks.
15. Compare selected-response and constructed-response tasks.
Selected-response tasks test recognition, while constructed-response tasks test production and reasoning.
16. Why is fairness especially important for multilingual learners?
16. Why is fairness especially important for multilingual learners?
Because biased tasks or language can disadvantage learners from different linguistic backgrounds.
17. How can rubrics improve consistency in assessment?
17. How can rubrics improve consistency in assessment?
They provide clear criteria and scoring standards for all learners.
18. What role should teachers play when AI is used for grading?
18. What role should teachers play when AI is used for grading?
Teachers should review AI results and make final judgements.
19. How can AI threaten the validity of assessment?
19. How can AI threaten the validity of assessment?
By focusing on surface features (e.g., word count) instead of true language ability.
20. In what ways might AI disadvantage some learners?
20. In what ways might AI disadvantage some learners?
Through accent bias, cultural bias, or misinterpretation of creative language use.
21. Why is teacher judgment still essential?
21. Why is teacher judgment still essential?
Teachers understand context, learner needs, and cultural nuances that AI cannot fully interpret.
22. How can institutions ensure ethical AI use in ELT assessment?
22. How can institutions ensure ethical AI use in ELT assessment?
By setting clear policies, ensuring transparency, and protecting student data.
23. How can practicality conflict with fairness in AI assessment?
23. How can practicality conflict with fairness in AI assessment?
Automated systems are efficient but may overlook individual learner differences.
24. How can assessments prevent over-reliance on AI?
24. How can assessments prevent over-reliance on AI?
By requiring explanation, reflection, and demonstration of learner thinking.
25. Why should ELT assessment use a human–AI hybrid model?
25. Why should ELT assessment use a human–AI hybrid model?
Because AI increases efficiency while teachers ensure validity, fairness, and ethical judgment.