Tag: module-58
This article is an empirical classroom implementation of an adjusted Bayesian Knowledge Tracing (BKT) method in a 120-hour Business Analytics training course delivered at GIET, Sonipat. The course used continuous quiz-based assessment alongside attendance, reporting, feasibility analysis, VIVA, and capstone evidence.
cognitive, knowledge tracing, module-58, personalisationIn classroom tutoring, knowledge tracing is valuable because it can help teachers identify learning gaps, plan remedial activities, generate adaptive quizzes, and build individual learner profiles.
knowledge tracing, module-58, personalisationAdaptive educational systems (AES) are intelligent systems that personalize learning experiences based on each student’s individual needs, behavior, and progress. These systems go beyond static content delivery.
cognitive, knowledge tracing, module-58Estimating the difficulty of questions is a crucial step in designing quizzes or tests, as it directly impacts assessment validity, student motivation, and instructional feedback. In educational measurement, question difficulty refers to the proportion of students expected (or observed) to answer an item correctly. A balanced distribution of difficulty levels ensures that the assessment can […]
cognitive, module-58, personalisation