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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-58Most business leaders have experienced a bold initiative launched with confidence, only to watch it unravel in execution. The revenue targets were ambitious but achievable. The timeline was aggressive but realistic. Yet somehow, six months later, the project is over budget, behind schedule, and delivering only a fraction of the promised benefits. Business expectations are […]
business problem, business thinking, correlation, module-61, requirements managementA distinctive modelling approach involves mapping business process that includes fundamental business transactions defined in enterprise ontology.
business problem, business thinking, module-61Organizations can be understood as decision systems in which managers continuously allocate scarce resources under conditions of uncertainty. Simon (1997), conceptualized organizations as decision-making structures in which bounded rationality shapes choices. Rather than optimizing perfectly, managers “satisfice”, selecting options that meet acceptable thresholds under constraints. This view positions the business not merely as a production […]
business problem, business thinking, module-61, requirements management, stakeholder mappingEstimating 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, personalisationThis article explores a robust, adaptive framework for incremental learning for sentiment analysis using the SGD Classifier.
coding, module-56, python-coding, sentiment analysis application