INTELLIGENT COMPUTATIONAL MODEL TO DETERMINE THE ORDER OF THINKING SKILLS OF TEST ITEMS

Test items as an instrument containing students’ thinking abilities must have good quality. Questions that meet the requirements have a balanced order of thinking skills, such as questions on Indonesia’s national exam. In analyzing the questions, we have to collect student assignment scores, which require a long time and complicated
administration. The intelligent system model, namely text processing and case similarity, can solve this problem. This paper describes how the model works, especially in junior
high school math problems in Indonesia. Text processing is used to identify cognitive process dimension (CPD) and knowledge dimensions (KD), while case similarity is used
to find solutions according to Revised Bloom’s Taxonomy (RBT) category. Therefore, the teacher-made item text can be seen based on the model’s performance, whether it is
included in the low-order thinking skills (LOTS) or high-order thinking skills (HOTS).