Accurate Assessment via Process Data
Susu Zhang, Zhi Wang, Jitong Qi, Jingchen Liu, Zhiliang Ying
Abstract
Accurate assessment of a student's ability is the key task of a test. Assessments based on final responses are the standard. As the infrastructure advances, substantially more information is observed. One of such instances is the process data that is collected by computer-based interactive items and contain a student's detailed interactive processes. In this paper, we show both theoretically and with simulated and empirical data that appropriately including such information in the assessment will substantially improve relevant assessment precision.
Topics & Concepts
Computer scienceProcess (computing)Key (lock)Task (project management)Data miningInformation retrievalData scienceSystems engineeringEngineeringComputer securityOperating systemIntelligent Tutoring Systems and Adaptive LearningTeaching and Learning ProgrammingEducational Technology and Assessment