This cluster of papers explores the application of fuzzy logic, data mining, genetic algorithms, and concept mapping in educational assessment, including student performance evaluation, intelligent tutoring systems, adaptive learning, and diagnosis and remedial learning. The use of fuzzy logic for evaluating students' answerscripts and learning achievement is a prominent focus, along with the development of automatic examination paper generation systems and web-based testing approaches.