Assessment of Effective Teaching Using by TOPSIS method

Abstract

Effective teaching is a fundamental component of quality education. Educational institutions and stakeholders are constantly seeking ways to assess and enhance teaching practices to ensure optimal learning outcomes for students. This paper provides an overview of the various approaches and methods used for assessing effective teaching. It delves into the significance of aligning assessment strategies with specific learning goals and discusses the importance of considering both quantitative and qualitative measures. The paper highlights the role of student feedback in evaluating teaching effectiveness. It explores the use of surveys and evaluations to gather insights into instructional methods, classroom management, and the overall learning experience. Additionally, the incorporation of peer evaluations and self-assessment by instructors is examined as valuable tools for comprehensive teaching assessment. Furthermore, the paper addresses the growing influence of technology in teaching assessment. The utilization of learning analytics and data-driven insights offers a new dimension to evaluating teaching effectiveness. This includes the analysis of student performance data, engagement metrics, and online interaction patterns. It involves evaluating and understanding the various factors that contribute to effective teaching and its impact on student learning outcomes. Student Learning Outcomes: Effective teaching directly influences student learning outcomes. Research in this area helps identify teaching practices that lead to improved academic achievement, critical thinking skills, problem-solving abilities, and overall educational success. Educational Quality: High-quality teaching is a cornerstone of a strong education system. Understanding what makes teaching effective enables educational institutions to provide a better learning experience, attract and retain skilled educators, and enhance their reputation for producing successful graduates. TOPSIS, This method involves evaluating the geometric distance between each alternative solution and two reference solutions: the positive ideal solution and the negative ideal solution. The underlying principle of TOPSIS assumes that the criteria being assessed are of an ascending nature, where larger values represent better performance. To account for disparate dimensions or scales among the criteria, normalization is often employed within the TOPSIS framework. Alternative taken as Student Evaluations, Peer Reviews, Self-Assessment, Classroom Observations Evaluation preference taken as Enhanced Learning Outcomes, Continuous Improvement, Subjective Bias, Time-Consuming. From the result Student performance data is got the first rank and classroom observation is having the lowest rank.