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Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
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Mills, Kathy – Journal of Learning Design, 2006
Research and educational policies have alerted teachers to the importance of multiliteracies. Communication in society today is characterised by rapidly changing and emergent forms of meaning-making in a context of increased cultural and linguistic diversity. This paper responds to these imperatives, releasing key findings of a critical…
Descriptors: Multiple Literacies, Ethnography, Student Diversity, Observation