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    A BI Approach for Student Engagement and Retention along with Cognitive Load Analysis for Educator
    (979-833153098-3, 2025) Algewatta, M. N; Manathunga, K
    This research presents a systematic approach to monitoring student engagement, retention, and cognitive load within higher education by integrating Business Intelligence (BI) tools with cognitive load analysis. The proposed framework utilizes a diverse range of data sources -including attendance, academic performance, mental health indicators, demographic variables, and student feedback to generate real-time insights into student behavior patterns. The BI system identified critical trends, such as irregular attendance, declining academic performance, and the influence of demographic factors, enabling educators to identify at-risk students and intervene proactively. Additionally, cognitive load analysis was employed to evaluate the mental demands of course content, categorizing learning objectives in alignment with Bloom's Taxonomy. This allowed for the identification of content that could potentially overwhelm students, facilitating adjustments in instructional complexity. The integration of BI insights with cognitive load data provided a holistic approach that not only enhanced the monitoring of student engagement but also supported the tailoring of instructional content to optimize learning without inducing cognitive overload. The findings suggest that combining BI tools with cognitive load metrics offers a robust framework for both improving student retention and assisting educators in creating a balanced, engaging, and supportive learning environment. This study contributes a practical model for institutions seeking to leverage data-driven insights to promote student success and address the dynamic challenges of modern higher education.
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    PublicationOpen Access
    THE USE OF BLOOM’S TAXONOMY TO ASSESS STUDENTS’ PERFORMANCE EFFECTIVELY IN WRITTEN EXAMINATIONS
    (2017) Peiris, S; Peiris, C. N; Wickramasinghe, S
    Bloom’s Taxonomy is widely used, to bring out thinking ability in students, as an assessment method. In this article we emphasize four types of methods generally used in evaluating the intended learning outcomes in written examinations. How questions should be structured in each level of cognitive domain is discussed with an example in multiple choice questions (MCQ), short answer question (SAQ), structured type questions (STQ) and essay type questions (ETQ). Common biological applications were used as example questions. The questions were developed to show how students’ thinking ability was brought out when questions were structured in line with the levels of cognitive domain in Bloom’s Taxonomy. In conclusion, this paper defines how the application of Bloom’s Taxonomy helps in developing complete answers which come out not from the students’ memory but from applying, analyzing, synthesizing and evaluating.
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    PublicationOpen Access
    THE USE OF BLOOM'S TAXONOMY TO ASSESS STUDENTS'PERFORMANCE EFFECTIVELY IN WRITTEN EXAMINATIONS
    (Horizon Campus, National School of Business and Management , Sri Lanka, 2017) Peiris, S; Wickramasinghe, S; Peiris, C. N
    Bloom’s Taxonomy is widely used, to bring out thinking ability in students, as an assessment method. In this article we emphasize four types of methods generally used in evaluating the intended learning outcomes in written examinations. How questions should be structured in each level of cognitive domain is discussed with an example in multiple choice questions (MCQ), short answer question (SAQ), structured type questions (STQ) and essay type questions (ETQ). Common biological applications were used as example questions. The questions were developed to show how students’ thinking ability was brought out when questions were structured in line with the levels of cognitive domain in Bloom’s Taxonomy. In conclusion, this paper defines how the application of Bloom’s Taxonomy helps in developing complete answers which come out not from the students’ memory but from applying, analyzing, synthesizing and evaluating.