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Liu, Min; Kang, Jina; Zou, Wenting; Lee, Hyeyeon; Pan, Zilong; Corliss, Stephanie – Technology, Knowledge and Learning, 2017
There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior…
Descriptors: College Freshmen, Pharmaceutical Education, Individualized Instruction, Data
Liu, Ming-Tsung; Yu, Pao-Ta – Educational Technology & Society, 2011
A personalized e-learning service provides learning content to fit learners' individual differences. Learning achievements are influenced by cognitive as well as non-cognitive factors such as mood, motivation, interest, and personal styles. This paper proposes the Learning Caution Indexes (LCI) to detect aberrant learning patterns. The philosophy…
Descriptors: Electronic Learning, Statistics, Tutoring, Computer Assisted Instruction
Jones, G. Brian; And Others – J Coll Stud Personnel, 1970
The most noteworthy conclusions drawn was that two of the experimental group counseling procedures were more effective than no counseling approaches. (Author/EK)
Descriptors: Behavior Patterns, College Freshmen, College Students, Counseling

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