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Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
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Zhou, Guojing; Moulder, Robert G.; Sun, Chen; D'Mello, Sidney K. – International Educational Data Mining Society, 2022
In collaborative problem solving (CPS), people's actions are interactive, interdependent, and temporal. However, it is unclear how actions temporally relate to each other and what are the temporal similarities and differences between successful vs. unsuccessful CPS processes. As such, we apply a temporal analysis approach, Multilevel Vector…
Descriptors: Cooperative Learning, Problem Solving, College Students, Physics
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Leak, Anne E.; Rothwell, Susan L.; Olivera, Javier; Zwickl, Benjamin; Vosburg, Jarrett; Martin, Kelly Norris – Physical Review Physics Education Research, 2017
Problem-solving strategies learned by physics undergraduates should prepare them for real-world contexts as they transition from students to professionals. Yet, graduate students in physics-intensive research face problems that go beyond problem sets they experienced as undergraduates and are solved by different strategies than are typically…
Descriptors: Problem Solving, Physics, Doctoral Programs, Graduate Students
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Saucerman, Jenny; Ruis, A. R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Learning to solve "complex problems"--problems whose solutions require the application of more than basic facts and skills--is critical to meaningful participation in the economic, social, and cultural life of the digital age. In this paper, we use a theoretical understanding of how professionals use reflection-in-action to solve complex…
Descriptors: Reflection, Problem Solving, Automation, Skill Development
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Sadaf, Ayesha; Olesova, Larisa – American Journal of Distance Education, 2017
The researchers in this study examined the influence of questions designed with the Practical Inquiry Model (PIM), compared with the regular (playground) questions, on students' levels of cognitive presence in online discussions. Students' discussion postings were collected and categorized according to the four levels of cognitive presence:…
Descriptors: Graduate Students, Masters Programs, Cognitive Processes, Web Based Instruction
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Patchan, Melissa M.; Schunn, Christian D.; Correnti, Richard J. – Journal of Educational Psychology, 2016
Although feedback is often seen as a critical component of the learning process, many open questions about how specific feedback features contribute to the effectiveness of feedback remain--especially in regards to peer feedback of writing. Nelson and Schunn (2009) identified several important features of peer feedback in their nature of feedback…
Descriptors: Peer Evaluation, Revision (Written Composition), Regression (Statistics), Student Improvement
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Stahl, Norman A.; Theriault, Jennifer C.; Armstrong, Sonya L. – Journal of Developmental Education, 2016
This content analysis examines the topics, trends, and issues impacting developmental education and its professionals as evaluated by interviews that have appeared in the "Journal of Developmental Education" ("JDE") between the issuance of Volume 1 through Volume 39. A total of 76 interviews were analyzed with attention to…
Descriptors: Developmental Studies Programs, Periodicals, Scholarship, Content Analysis
Zhu, Shaojian – ProQuest LLC, 2014
Crowdsourcing is an emerging research area that has experienced rapid growth in the past few years. Although crowdsourcing has demonstrated its potential in numerous domains, several key challenges continue to hinder its application. One of the major challenges is quality control. How can crowdsourcing requesters effectively control the quality…
Descriptors: Electronic Publishing, Collaborative Writing, Quality Control, Models
Schoen, Robert C.; LaVenia, Mark; Champagne, Zachary M.; Farina, Kristy; Tazaz, Amanda M. – Grantee Submission, 2017
The following report describes an assessment instrument called the Mathematics Performance and Cognition (MPAC) interview. The MPAC interview was designed to measure two outcomes of interest. It was designed to measure first and second graders' mathematics achievement in number, operations, and equality, and it was also designed to gather…
Descriptors: Interviews, Test Construction, Psychometrics, Elementary School Mathematics
Schoen, Robert C.; LaVenia, Mark; Champagne, Zachary M.; Farina, Kristy – Grantee Submission, 2017
This report provides an overview of the development, implementation, and psychometric properties of a student mathematics interview designed to assess first- and second-grade student achievement and thinking processes. The student interview was conducted with 622 first- or second-grade students in 22 schools located in two public school districts…
Descriptors: Interviews, Test Construction, Psychometrics, Elementary School Mathematics
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Nicolaou, Chr. Th.; Evagorou, M.; Lymbouridou, Chr. – Science Education International, 2015
Despite the belief that emotions are important in the learning process, research in the area of emotions and learning, especially in science, is scant. Modelling and SSI argumentation have shared with respect to the emphasis in recent science standards reports as core scientific practices that need to be part of science teaching and learning. Even…
Descriptors: Elementary School Students, Science Instruction, Elementary School Science, Interviews
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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 (Baker,…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
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Gojkošek, Mihael; Sliško, Josip; Planinšic, Gorazd – Center for Educational Policy Studies Journal, 2013
The transfer of knowledge is considered to be a fundamental goal of education; therefore, knowing and understanding the conditions that influence the efficiency of the transfer from learning activity to problem solving play a decisive role in the improvement of science education. In this article, the results of a study of 196 high school students'…
Descriptors: Foreign Countries, Learning Activities, Student Improvement, Skill Development
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Davies, Patrick T.; Manning, Liviah G.; Cicchetti, Dante – Child Development, 2013
This study examined whether children’s difficulties with stage-salient tasks served as an explanatory mechanism in the pathway between their insecurity in the interparental relationship and their disruptive behavior problems. Using a multimethod, multi-informant design, 201 two-year-old children and their mothers participated in 3 annual…
Descriptors: Security (Psychology), Parent Child Relationship, Behavior Problems, Structural Equation Models
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Pardos, Zachary A.; Baker, Ryan S. J. D.; San Pedro, Maria O. C. Z.; Gowda, Sujith M.; Gowda, Supreeth M. – Journal of Learning Analytics, 2014
In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate…
Descriptors: Affective Behavior, Student Behavior, Learner Engagement, Web Based Instruction
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