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Full-Text Articles in Education
I’Ve (Urn)Ed This: An Application And Criterion-Based Evaluation Of The Urnings Algorithm, Ted Daisher
I’Ve (Urn)Ed This: An Application And Criterion-Based Evaluation Of The Urnings Algorithm, Ted Daisher
Doctoral Dissertations
There is increased interest in personalized learning and making e-learning environments more adaptable. Some e-learning systems may use an Item Response Theory (IRT)-based assessment system. An important distinction between assessment and learning contexts is that learner proficiency is expected to remain constant across an assessment, while it is expected to change over time in a learning context. Constant learner proficiency during an assessment enables conventional approaches to estimating person and item parameters using IRT. These IRT-based systems could be abandoned for alternative approaches to modeling learners and system learning content, but assessments may provide more functions than adapting learning material …
Bringing Learning Back In: Examining Three Psychometric Models For Evaluating Learning Progression Theories, Duy Pham
Doctoral Dissertations
Learning progressions provide potentially valuable information to teachers about how to develop a scope and sequence for a group of learning objectives. However, for the learning progressions to be valuable, the progressions must be supported. Although there are several approaches and models that can be used to evaluate the validity of a learning progression, there is a dearth of research examining the advantages and limitations of each approach. The purpose of this study was to examine a multi-dimensional item response theory model and two cognitive diagnostic models (DINA and HO-DINA) for evaluating two learning progressions via a simulation study. In …