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Lee, HyunKyung; Mori, Carolyn – Asia Pacific Journal of Education, 2021
The purpose of this study is to examine which, and how, reflective practices as instructional strategies affect students' self-directed learning (SDL) competencies in second language university classes. To answer the research questions, an explanatory mixed-methods approach was used to extend quantitative research through qualitative research.…
Descriptors: Reflection, Independent Study, Second Language Learning, Teaching Methods
Wang, Shu-Ling; Hong, Hui-Ting – Educational Technology Research and Development, 2018
Research has suggested that self or co-regulated learning is very helpful for the development of students' autonomy, and is particularly important in online learning environments, because such non-linear environments tend to lack focus and teachers' monitoring. The social cognitive research suggests that highly self-regulated learners have higher…
Descriptors: Self Control, Student Motivation, Student Behavior, Social Cognition
If You Build It, Will They Come? Student Preferences for Makerspace Environments in Higher Education
Hynes, Morgan M.; Hynes, Wendy J. – International Journal of Technology and Design Education, 2018
The Maker Movement inspires people to express their creativity by making things in a self-directed and, often, collaborative learning endeavor. The excitement of the movement has spurred the development of various types of Makerspaces across the United States and the World to further enable people to "make" and innovate. The education…
Descriptors: Student Attitudes, Preferences, Independent Study, Art Education
Folts, Lynda – ProQuest LLC, 2018
This research project was used to examine variables influencing preferred learning modes of online competency-based education (CBE) students registered in a Bachelor's of Organizational Leadership degree program at a traditional university in east Texas, using 4 learning modes (independent, instrumental, interactive, and collaborative). A…
Descriptors: Student Attitudes, Preferences, Nontraditional Education, Learning Strategies
Lee, K.; Tsai, P.-S.; Chai, C. S.; Koh, J. H. L. – Journal of Computer Assisted Learning, 2014
This study explored students' perceptions of self-directed learning (SDL) and collaborative learning (CL) with/without technology in an information and communications technology-supported classroom environment. The factors include SDL, CL, SDL supported by technology, and CL supported by technology. Based on the literature review, this study…
Descriptors: Student Attitudes, Independent Study, Cooperative Learning, Technology Uses in Education
Minnaert, Alexander; Boekaerts, Monique; de Brabander, Cornelis; Opdenakker, Marie-Christine – Vocations and Learning, 2011
To prepare students for effective workplace learning, it is necessary to have insight into the contextual characteristics that affect students' developing interest. Aiming at students to become self-regulated learners, teachers should act as mindful coaches, encouraging their students to monitor the quality of collaborative group work. A field…
Descriptors: Workplace Learning, Context Effect, Student Interests, Independent Study
Murray, Elizabeth; Harrison, Linda Joan – Educational Psychology, 2011
This study investigated the extent to which learning readiness, prior-to-school experiences, and child and family characteristics influence children's literacy and numeracy achievement across the first year of primary school. A sample of 104 kindergarten children was recruited from 16 classrooms and followed from the beginning to the end of their…
Descriptors: Learning Readiness, Family Characteristics, Academic Achievement, Numeracy
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

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