This document discusses key principles of language testing, including test validity, reliability, practicality, and washback effect. It defines validity as whether a test measures what it intends to measure, and lists various types of validity including construct, content, predictive, and concurrent validity. Reliability refers to consistency and accuracy of test scores. Practicality considers resources needed like time and costs. Washback refers to a test's impact on teaching and learning, and how to achieve positive washback.
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presentation for the 2015 TESOL Asia / Asian EFL Journal 14th Annual International Conference at Clark Freeport Zone, Pampanga, Philippines August 21-23, 2015
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presentation for the 2015 TESOL Asia / Asian EFL Journal 14th Annual International Conference at Clark Freeport Zone, Pampanga, Philippines August 21-23, 2015
Achievement Test
What is Achievement Tests
Types of Achievement Tests
Standardized Achievement Tests
Features of Achievement Test
Characteristics of Standardized Achievement Tests
Standardized tests versus Informal Classroom Tests
Classification of SAT
Conclusion
This slideshow was used for teacher training workshops I conducted in the fall of 2011 at the Center for English as a Second Language, University of Arizona (Tucson, USA).
Achievement Test
What is Achievement Tests
Types of Achievement Tests
Standardized Achievement Tests
Features of Achievement Test
Characteristics of Standardized Achievement Tests
Standardized tests versus Informal Classroom Tests
Classification of SAT
Conclusion
This slideshow was used for teacher training workshops I conducted in the fall of 2011 at the Center for English as a Second Language, University of Arizona (Tucson, USA).
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• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
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• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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2. What is the purpose of testing?
• The purpose of testing is to obtain information
on language skills of the learners.
• Information is very costly. The more specific it is,
the more cost it involves.
– Is language testing targeting specific information?
– Costs here involve human and material resources
and TIME.
– Once an institution/teacher decided that the
information is needed, it/he should be ready to meet
the costs.
4. Test marking
• Assessment scale (also: rating scale)
– criteria by which performances at a given
level will be recognized
– levels of performance:
• 10 (excellent), 9 (very good), 8 (good)
• bands 0-9 in IELTS
• 1-100 pts in the national English examination
• level descriptors – verbal descriptions of
performances that illustrate each level of
competence on the scale
5. Communicative language
competences
• Linguistic competences
– lexical, grammatical, semantic, phonological,
orthographic, orthoepic
• Sociolinguistic competences
– markers of social relations, politeness conventions,
expressions of folk wisdom, register differences,
dialect and accent
• Pragmatic competences
– discourse comp. (ability to arrange sentences in
proper sequence), functional (requests, invitations
etc.)
(adapted from CEFR 2001)
6. Competences vs. skills
• Competences are tested through skills
• The four major skills are subdivided into
minor subskills:
– reading comprehension:
• reading for general orientation
• reading for information
• reading for main ideas
• reading for specific information
• reading for implications etc.
(CEFR 2001)
7. What is good testing?
• It is valid
• It is reliable
• It is practical
• It has positive impact
on the teaching
process
• VALIDITY
• RELIABILITY
• PRACTICALITY
• WASHBACK EFFECT
8. Test validity
• It appropriateness of the test; OR
• It shows that a test tests what it is
supposed to test; OR
• A test is valid if it measures accurately
what it is intended to measure.
• To establish that a test is valid, empirical
evidence is needed. The evidence comes
from different sources…
9. Types of validity
• Construct validity:
– the extent to which a test measures the
underlying psychological construct (“ability,
capacity”)
– the extent to which a test reflects the essential
aspects of the theory on which that test is
based
– an overarching notion of validity reflected in
many subordinate forms of validity
10. In a more complicated way…
• If a test does not have construct validity,
test scores will show CONSTRUCT
IRRELEVANT VARIANCE.
– E. g. in an advanced speaking test candidates
may be asked to speak on an abstract topic.
Personal engagement in the topic, however,
may weaken or improve the performance.
BUT: having previous knowledge about the
abstract topic should not be assessed.
11. Types of validity
• Content validity:
– the extent to which a test adequately and sufficiently measures
the particular skills it sets out to measure (cf. test specifications)
• Response validity:
– … test takers respond in the way expected by the test
developers
• Predictive validity:
– … a test accurately predicts future performance
• Concurrent validity:
– … one test relate to scores on another external measure
• Face validity:
– … test appears to measure whatever it claims to measure
(Hughes 2003: 26-35)
12. Types of validity
• Nearly 40 different types have been
collected on a language testers’ forum…
• The more different types of validity are
established in a test, the more valid that
test is considered to be.
13. Test reliability
• Quality of test scores resulting from test
administration:
– accuracy of marking and fairness of scores
– consistency of marking:
• similar scores on different days
• similar scores from different markers
– inter-rater reliability
– intra-rater reliability
14. Factors influencing reliability
1. The performance of test takers
1. a sufficient number of items
2. restricted freedom of test behaviour
3. unambiguous items, clear instructions and rubrics
4. layout, good copies, familiar format
5. proper administration
2. The reliability of scorers
1. objective scoring vs. subjective scoring
2. restricting freedom of response
3. a detailed scoring/marking key
15. Test feasibility/practicality
• It is the ease with which the items/tasks
can be replicated in terms of resources
needed, e. g. time, materials, people
17. How to achieve positive washback?
1. Test the abilities/skills whose
development you want to encourage.
2. Sample widely and unpredictably.
3. Use direct testing.
4. Make testing criterion-referenced.
5. Base achievement tests on objectives.
6. Make sure that the test is known and
understood by students and other
teachers.
18. References and additional reading
1. Alderson, Ch., D. Clapham and D. Wall.
1995. Language Test Construction and
Evaluation. Cambridge: CUP
2. Hughes, A. 2003. Testing for Language
Teachers. 2nd ed. Cambridge: CUP.
3. Council of Europe. 1991. Common European
Framework of Reference for Languages.
Cambridge: CUP.