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Matayoshi, Jeffrey; Cosyn, Eric; Uzun, Hasan – International Journal of Artificial Intelligence in Education, 2021
Many recent studies have looked at the viability of applying recurrent neural networks (RNNs) to educational data. In most cases, this is done by comparing their performance to existing models in the artificial intelligence in education (AIED) and educational data mining (EDM) fields. While there is increasing evidence that, in many situations,…
Descriptors: Artificial Intelligence, Data Analysis, Student Evaluation, Adaptive Testing
Gray, James J. – ProQuest LLC, 2010
The purpose of this study was to answer the question: Are principals good at identifying effective teachers? Some studies have suggested they are not, but the evidence is not consistent. It is troubling that research results are inconsistent regarding principals' abilities to identify effective teachers. Why is there a disconnect between…
Descriptors: Principals, Teacher Evaluation, Identification, Teacher Effectiveness

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