منابع مشابه
Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments
This paper extends our previous work on a Multi-Feature Hierarchical Sequential PAttern Mining (MFH-SPAM) algorithm for deriving students’ behavior patterns from their activity logs in an Open-Ended Learning Environment(OELE). The new algorithm is computationally efficient, and we compare the results generated by the two algorithms.
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Open-ended learning environments (OELEs) are learner-centered, and they provide students with opportunities to take part in authentic and complex problem-solving tasks. These experiences may support deeper learning and the development of strategies that support future learning. However, many students struggle to succeed in such complex learning endeavors. Without proper adaptive scaffolding, th...
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Understanding students’ self-regulated learning (SRL) behaviors in open-ended learning environments (OELEs) is an on-going area of research. Whereas OELEs facilitate use of SRL processes, measuring them reliably is difficult. In this paper, we employ coherence analysis, a recently-developed approach to analyzing students’ problem solving behaviors in OELEs, to study how student behaviors change...
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ژورنال
عنوان ژورنال: Zeitschrift f�r Analytische Chemie
سال: 1873
ISSN: 1618-2642,1618-2650
DOI: 10.1007/bf01463025