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Lee, Seon-Young; An, Donggun; Choe, Seung-Urn – High Ability Studies, 2020
This study examined if personality types of gifted students predicted their psychiatric symptoms and if the type of giftedness and gender moderated the relationship between the personality and psychiatric manifestations. "The Murphy-Meisgeir Type Indicator for Children" and "the Minnesota Multiphasic Personality…
Descriptors: Academically Gifted, Symptoms (Individual Disorders), Predictor Variables, Gender Differences
Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
Yunxiao Chen; Xiaoou Li; Jingchen Liu; Gongjun Xu; Zhiliang Ying – Grantee Submission, 2017
Large-scale assessments are supported by a large item pool. An important task in test development is to assign items into scales that measure different characteristics of individuals, and a popular approach is cluster analysis of items. Classical methods in cluster analysis, such as the hierarchical clustering, K-means method, and latent-class…
Descriptors: Item Analysis, Classification, Graphs, Test Items

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