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Download full textSutami, Ni Kadek; Santosa, Made Hery; Mahendrayana, Gede – Journal of English Teaching, 2022
This study aims to investigate students' and teachers' challenges in learning EFL in a distance learning context for 162 eleventh-grade students and one English teacher in SMK Nusa Dua Toya Anyar Kubu, Karangasem in the academic year of 2020/2021. This study used a mixed-method as the data were collected through questionnaires for the quantitative…
Descriptors: Distance Education, English (Second Language), Second Language Learning, Second Language Instruction
Direct linkLai, 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
Raufelder, Diana; Jagenow, Danilo; Drury, Kate; Hoferichter, Frances – Learning and Individual Differences, 2013
In order to enhance our understanding of individual differences in scholastic motivation, the present study examined if social relationships in school are equally important for motivation across a large sample of adolescent students. Based on past research as well as our preliminary findings, it was hypothesized that there would be four different…
Descriptors: Individual Differences, Student Motivation, Interpersonal Relationship, Secondary School Students
Suranyi, Zsuzsanna; Hitchcock, David B.; Hittner, James B.; Vargha, Andras; Urban, Robert – International Journal of Behavioral Development, 2013
Previous research on sensation seeking (SS) was dominated by a variable-oriented approach indicating that SS level has a linear relation with a host of problem behaviors. Our aim was to provide a person-oriented methodology--a probabilistic clustering--that enables examination of both inter- and intra-individual differences in not only the level,…
Descriptors: Personality Traits, Behavior Problems, Conceptual Tempo, Individual Differences
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
