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Dr. Mejia
presents her work at the 9th IACAT conference |
Dr. Ivy P. Mejia of the High School Earth Science Group has just presented her paper titled Mastery Profiles of Students in Explaining Phenomena Scientifically under the G-DINA Model Framework at the 9th Conference of the International Association for Computerized Adaptive Testing (IACAT) at the Department of Education of Yonsei University in Seoul, South Korea on 24-27 September 2024. The paper presentation was made possible through a PhD incentive grant from the Office of the Vice Chancellor for Research and Development (OVCRD).
Dr. Mejia’s research aimed to identify the best fitting model of cognition for students in explaining phenomena scientifically within the context of the Generalized DINA Framework and to give a comprehensive description of the mastery profiles of preservice teachers. Data obtained from preservice teachers from six universities showed that the Mixed-CDM (Cognitive Diagnostic Model) was the most plausible model to assess students’ skills in explaining phenomena scientifically.
Dr. Mejia further explained that this model has parameters that can yield straightforward interpretation with better classification accuracy even in small sample sizes. Assessing the students, she asserted that the Mixed-CDM accurately identified the mastery profiles of students. Mastery profiles represent students' proficiency in each of the five skills under the domain of explaining phenomena scientifically. This profiling method is a valuable tool for educators, enabling them to design targeted interventions that address the specific skills students have not yet mastered, thereby enhancing learning outcomes.
The 9th IACAT conference is an international gathering dedicated to showcase the current research trends in educational statistics and psychometrics. This year’s conference theme was “Improving Assessment with Adaptivity and Artificial Intelligence.”
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