From Assessment to Diagnosis: A Two-part Workshop on Writing and Interpreting Multiple-choice Assessments (PART II: Are your tests measuring up? Uncovering the fundamentals of item analysis for classroom assessments)
Navigating the complex world of academic assessment requires a deep understanding of multiple-choice test construction and evaluation. This two-part workshop series is designed to help educators improve multiple-choice assessments and analyze their effectiveness in measuring student learning.
PART II: Are your tests measuring up? Uncovering the fundamentals of item analysis for classroom assessments
How can we ensure that the tests we develop are effective? Are the items too easy or too challenging for our students? Are the test options attractive enough? If so, to whom are the correct and incorrect choice/s attractive – to low or high performing group? Can our tests accurately discriminate between students with varying intellectual maturity?
This workshop, designed specifically for new teachers, aims to enhance their skills in creating and evaluating classroom assessments. The workshop will delve into the crucial aspects of item analysis, including item difficulty, item discrimination, item distractors, and response frequency, as well as highlight the importance of crafting attractive item distractors, the incorrect response options in multiple-choice items, and their impact on the overall effectiveness of an item. Participants will learn how to interpret these indicators to identify weak items, improve distractors, and enhance test reliability. Through hands‑on practice with real test data, participants will apply these concepts to make informed decisions about test construction and revision, ultimately improving the quality of their classroom assessments.
Participants are encouraged to attend both workshops. Due to the limited seating capacity in the Knowledge Hub, we can only accommodate the first 30 participants for the Part II Workshop.
Prof. Fraide Ganotice
Associate Professor, Director
BIMHSE
Mr. Wilzon Dizon
Research Staff, PhD Student
BIMHSE