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Showing 1 to 15 of 59 results
Conner, Jerusha – Journal of the Learning Sciences, 2014
This study examines the learning outcomes and learning environment of a youth organizing program that has been effective in promoting individual as well as social change. Drawing on interviews with 25 former youth organizers from the program, this study explores the lessons that stay with them as they transition to young adulthood and the factors…
Descriptors: Youth Opportunities, Youth Programs, Learning Strategies, Learning Processes
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Roll, Ido; Baker, Ryan S. J. d.; Aleven, Vincent; Koedinger, Kenneth R. – Journal of the Learning Sciences, 2014
Seeking the right level of help at the right time can support learning. However, in the context of online problem-solving environments, it is still not entirely clear which help-seeking strategies are desired. We use fine-grained data from 38 high school students who worked with the Geometry Cognitive Tutor for 2 months to better understand the…
Descriptors: Help Seeking, Comparative Analysis, Behavior Patterns, Intelligent Tutoring Systems
Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M. – Journal of the Learning Sciences, 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
Berland, Matthew; Martin, Taylor; Benton, Tom; Smith, Carmen Petrick; Davis, Don – Journal of the Learning Sciences, 2013
Many have suggested that tinkering plays a critical role in novices learning to program, and recent work in learning analytics (Baker & Yacef, 2009 Blikstein, 2011) allows us to describe new relationships in the process. Using learning analytics, we explore how students progress from exploration, through tinkering, to refinement, a pathway…
Descriptors: Learning Processes, Data Collection, Novices, Females
Martin, Taylor; Sherin, Bruce – Journal of the Learning Sciences, 2013
The learning sciences community's interest in learning analytics (LA) has been growing steadily over the past several years. Three recent symposia on the theme (at the American Educational Research Association 2011 and 2012 annual conferences, and the International Conference of the Learning Sciences 2012), organized by Paulo Blikstein, led…
Descriptors: Data Analysis, Learning Processes, Educational Research, Data Collection
Shea, Nicole A.; Duncan, Ravit Golan – Journal of the Learning Sciences, 2013
Learning progressions (LPs) are theoretical models of how learners develop expertise in a domain over extended periods of time. Recent policy reports have touted LPs as a promising approach to aligning standards, curriculum, and assessment. However, the scholarship on LPs is relatively sparse, and the jury is still out on the theoretical and…
Descriptors: Academic Standards, Genetics, Heuristics, Models
Alibali, Martha W.; Nathan, Mitchell J. – Journal of the Learning Sciences, 2012
Gestures are often taken as evidence that the body is involved in thinking and speaking about the ideas expressed in those gestures. In this article, we present evidence drawn from teachers' and learners' gestures to make the case that mathematical knowledge is embodied. We argue that mathematical cognition is embodied in 2 key senses: It is based…
Descriptors: Mathematics Education, Mathematical Concepts, Physical Environment, Mathematics Instruction
Lobato, Joanne; Rhodehamel, Bohdan; Hohensee, Charles – Journal of the Learning Sciences, 2012
As transfer researchers have begun to investigate a broader range of phenomena, they have correspondingly put forward new processes to provide explanatory accounts for the occurrence of transfer. This move coincides with a call to acknowledge the contribution of social interactions, language, cultural artifacts, and normed practices to the…
Descriptors: Transfer of Training, Mathematics Instruction, Cognitive Processes, Interpersonal Communication
Eysink, Tessa H. S.; de Jong, Ton – Journal of the Learning Sciences, 2012
This study compared the affordances of 4 multimedia learning environments for specific learning processes. The environments covered the same domain but used different instructional approaches: (a) hypermedia learning, (b) observational learning, (c) self-explanation-based learning, and (d) inquiry learning. Although they all promote an active…
Descriptors: Multimedia Instruction, Hypermedia, Educational Environment, Inquiry
Taber, Keith S.; Garcia-Franco, Alejandra – Journal of the Learning Sciences, 2010
This article explores 11- to 16-year-old students' explanations for phenomena commonly studied in school chemistry from an inclusive cognitive resources or knowledge-in-pieces perspective that considers that student utterances may reflect the activation of knowledge elements at a range of levels of explicitness. We report 5 themes in student…
Descriptors: Physics, Chemistry, Learning Processes, Intuition
Clinton, Virginia – Instructional Science: An International Journal of the Learning Sciences, 2014
Student approaches to learning have been a popular area of research in educational psychology. One useful framework for understanding student approaches to learning is through Biggs' presage-process-product model. The purpose of this study is to examine the process stage of the 3P model. Undergraduate students (N = 67) thought aloud while…
Descriptors: Undergraduate Students, Educational Psychology, Student Attitudes, Learner Engagement
Ifenthaler, Dirk; Gosper, Maree – Instructional Science: An International Journal of the Learning Sciences, 2014
This paper introduces the MAPLET framework that was developed to map and link teaching aims, learning processes, learner expertise and technologies. An experimental study with 65 participants is reported to test the effectiveness of the framework as a guide to the design of lessons embedded within larger units of study. The findings indicate the…
Descriptors: Guidelines, Instructional Design, Units of Study, Teaching Methods
Roelle, Julian; Berthold, Kirsten; Renkl, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2014
Although instructional explanations are commonly used to introduce learners to new learning content, previous studies have often shown that their effects on learning outcomes are minimal. This failure might partly be due to mental passivity of the learners while processing introductory explanations and to a lack of opportunity to revise potential…
Descriptors: College Students, Psychology, Instructional Effectiveness, Teaching Methods
van Dijk, Alieke M.; Gijlers, Hannie; Weinberger, Armin – Instructional Science: An International Journal of the Learning Sciences, 2014
Creating graphical representations can foster knowledge gains on science topics in elementary school students by promoting active integration and translation of new information. Collaborating on joint representations may encourage children to discuss and elaborate their knowledge. To foster productive interactions, children may greatly benefit…
Descriptors: Elementary School Students, Elementary School Science, Science Instruction, Freehand Drawing

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