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Marra, Rose M.; Hacker, Douglas J.; Plumb, Carolyn – Journal of Engineering Education, 2022
Background: Developing self-directed learning (SDL) skills in engineering students is critical to support life-long learning. This research was conducted at Iron Range Engineering (IRE), an innovative, problem-based learning (PBL) engineering program, which has suffused the concept of metacognition throughout its curriculum. Purpose/Hypotheses:…
Descriptors: Metacognition, Independent Study, Skill Development, Problem Based Learning
Beach, Pamela; Minuk, Alexandra; Favret, Elena – Online Learning, 2022
This study examines the strategies used by teachers during a series of self-directed online learning (SDOL) experiences. Over a period of four months, the authors met with 12 practicing elementary teachers three separate times. During the meetings, the teacher participants informally used the internet for their professional learning in literacy.…
Descriptors: Independent Study, Protocol Analysis, Learning Experience, Elementary School Teachers
MacArthur, Charles A.; Philippakos, Zoi A. – Teachers College Press, 2023
Discover an innovative, evidence-based method for preparing students for the demands of college writing called Supporting Strategic Writers (SSW). The goal of SSW is to help students become independent learners who understand the value of strategies and can apply them flexibly in future courses and the workplace. The text provides genre-based…
Descriptors: Writing Instruction, College Readiness, Career Readiness, Critical Literacy
Monitoring and Depth of Strategy Use in Computer-Based Learning Environments for Science and History
Deekens, Victor M.; Greene, Jeffrey A.; Lobczowski, Nikki G. – British Journal of Educational Psychology, 2018
Background: Self-regulated learning (SRL) models position metacognitive monitoring as central to SRL processing and predictive of student learning outcomes (Winne & Hadwin, 2008; Zimmerman, 2000). A body of research evidence also indicates that depth of strategy use, ranging from surface to deep processing, is predictive of learning…
Descriptors: Independent Study, Learning Strategies, Electronic Learning, Computer Assisted Instruction
Hausmann, Robert G. M.; VanLehn, Kurt – International Journal of Artificial Intelligence in Education, 2010
Self-explaining is a domain-independent learning strategy that generally leads to a robust understanding of the domain material. However, there are two potential explanations for its effectiveness. First, self-explanation generates additional "content" that does not exist in the instructional materials. Second, when compared to…
Descriptors: Instructional Design, Intelligent Tutoring Systems, College Students, Predictor Variables
Lloret, Miguel; Aguila, Estela; Lloret, Alejandro – International Electronic Journal of Elementary Education, 2009
The purpose of this study was to study the effect of a multimedia computing program on the production of activities and self-regulated learning processes in 18 students of the Dentistry postdegree (Celaya, Mexico). A multi-method design (quasi-experimental, pretest-post-test and qualitative: Think aloud protocol) was used. Self-regulated…
Descriptors: Foreign Countries, Dentistry, Graduate Students, Independent Study