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Rupp, André A. – Applied Measurement in Education, 2018
This article discusses critical methodological design decisions for collecting, interpreting, and synthesizing empirical evidence during the design, deployment, and operational quality-control phases for automated scoring systems. The discussion is inspired by work on operational large-scale systems for automated essay scoring but many of the…
Descriptors: Design, Automation, Scoring, Test Scoring Machines
Interactive Computer Based Assessment Tasks: How Problem-Solving Process Data Can Inform Instruction
Zoanetti, Nathan – Australasian Journal of Educational Technology, 2010
This article presents key steps in the design and analysis of a computer based problem-solving assessment featuring interactive tasks. The purpose of the assessment is to support targeted instruction for students by diagnosing strengths and weaknesses at different stages of problem-solving. The first focus of this article is the task piloting…
Descriptors: Computer Assisted Testing, Computer Uses in Education, Problem Solving, Evaluation Methods
Swan, Gerry; Mazur, Joan – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2011
Although the term data-driven decision making (DDDM) is relatively new (Moss, 2007), the underlying concept of DDDM is not. For example, the practices of formative assessment and computer-managed instruction have historically involved the use of student performance data to guide what happens next in the instructional sequence (Morrison, Kemp, &…
Descriptors: Knowledge Management, Preservice Teachers, Formative Evaluation, Heuristics
Coyle, James – American School Board Journal, 2001
The Northwest Evaluation Association helped an Indiana school district develop a computerized adaptive testing system that was aligned with its curriculum and geared toward measuring individual student growth. Now the district can obtain such information from semester to semester and year to year, get immediate results, and test students on…
Descriptors: Accountability, Adaptive Testing, Computer Assisted Testing, Data Interpretation

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