R. G. Almond, R. J. Mislevy, L. Steinberg, D. Yan, and D. M. Williamson: Bayesian Networks in Educational Assessment Springer, 2015

摘要

Performance-based, diagnostic assessment that captures and scaffolds individual learner’s competency development is a critical element of learning environment design, especially when interactive and complex learning tasks are involved. Yet the design and implementation of evidence-centered diagnostic assessment is challenging because: (a) the design of measurable performance tasks based on the underlying proficiency model is tricky, (b) the recording and coding of the performance data of each learner of a large sample can be complicated and time-consuming in comparison with grading in traditional testing, and hence (c) conducting a real-time diagnosis of the performance data to facilitate dynamic learner support and instructional planning for components of the competency is difficult.