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Zhan, Peida; He, Keren – Educational Measurement: Issues and Practice, 2021
In learning diagnostic assessments, the attribute hierarchy specifies a sequential network of interrelated attribute mastery processes, which makes a test blueprint consistent with the cognitive theory. One of the most important functions of attribute hierarchy is to guide or limit the developmental direction of students and then form a…
Descriptors: Longitudinal Studies, Models, Comparative Analysis, Diagnostic Tests
Pasqualotto, Angela; Venuti, Paola – Learning Disabilities Research & Practice, 2020
In this research, we examined the responsiveness to treatment in 49 Italian children with Dyslexia. In part A, we compare the efficacy of a phonological-based treatment (Ph-T) with a cognitive training of executive functions (CT). In part B, we investigate whether a sequential treatment (CT+Ph-T) has a larger remedial effect compared to the pure…
Descriptors: Dyslexia, Executive Function, Phonology, Rehabilitation
Pedersen, Mitra – ProQuest LLC, 2013
This study investigated the rate of success for IT projects using agile and standard project management methodologies. Any successful project requires use of project methodology. Specifically, large projects require formal project management methodologies or models, which establish a blueprint of processes and project planning activities. This…
Descriptors: Correlation, Comparative Analysis, Information Technology, Decision Making
Witt, Catherine L.; Wager, Walter – Educational Technology, 1994
Compares the analysis, design, development, and evaluation of electronic performance support tools and systems to a traditional instructional systems design model. Topics discussed include indeterminate outcomes; rapid prototyping; front end analysis; intervention strategies; sequencing; user control; media selection; formative evaluation; and…
Descriptors: Comparative Analysis, Formative Evaluation, Instructional Design, Learner Controlled Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection