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Download full textYe, 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
Peer reviewed
Direct linkDoroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Klein, Steven; Sheil, Amanda Richards; White, Robin; Staklis, Sandra; Alfeld, Corinne; Dailey, Caitlin Rose; Charner, Ivan; Poliakoff, Anne – RTI International, 2014
The Carl D. Perkins Career and Technical Education Act of 2006 (Perkins IV), signed into law on August 12, 2006, lays out the statutory requirements governing federal support for career and technical education (CTE) services offered within secondary schools and postsecondary institutions throughout the United States. Aimed at more fully developing…
Descriptors: Vocational Education, Federal Legislation, Educational Legislation, Program Evaluation
Quinto-Pozos, David; Singleton, Jenny L.; Hauser, Peter C. – Journal of Deaf Studies and Deaf Education, 2017
This article describes the case of a deaf native signer of American Sign Language (ASL) with a specific language impairment (SLI). School records documented normal cognitive development but atypical language development. Data include school records; interviews with the child, his mother, and school professionals; ASL and English evaluations; and a…
Descriptors: Case Studies, Language Impairments, Deafness, American Sign Language
