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Mihalca, Loredana; Mengelkamp, Christoph; Schnotz, Wolfgang – Metacognition and Learning, 2017
A possible explanation for why students do not benefit from learner-controlled instruction is that they are not able to accurately monitor their own performance. The purpose of this study was to investigate whether and how the accuracy of metacognitive judgments made during training moderates the effect of learner control on performance when…
Descriptors: Metacognition, Accuracy, Learner Controlled Instruction, Problem Solving
Tang, Sylvia Y. F.; Wong, Angel K. Y.; Cheng, May M. H. – Journal of Education for Teaching: International Research and Pedagogy, 2015
Education systems around the world need to recruit highly motivated individuals to become teachers and prepare professionally competent teacher education graduates to take up these broadened and deepened roles and responsibilities with a deep and lasting engagement to the profession. This article reports on a mixed-methods study that examines…
Descriptors: Foreign Countries, Teacher Education, Mixed Methods Research, Teacher Competencies
Perna, Laura W.; Ruby, Alan; Boruch, Robert F.; Wang, Nicole; Scull, Janie; Ahmad, Seher; Evans, Chad – Educational Researcher, 2014
This paper reports on the progress of users through 16 Coursera courses taught by University of Pennsylvania faculty for the first time between June 2012 and July 2013. Using descriptive analyses, this study advances knowledge by considering two definitions of massive open online course (MOOC) users (registrants and starters), comparing two…
Descriptors: Online Courses, College Students, Sequential Approach, Learner Controlled Instruction
Damnik, Gregor; Proske, Antje; Narciss, Susanne; Körndle, Hermann – Journal of Educational Research, 2013
Especially in the context of technology-enhanced informal learning, it is crucial to understand how to design information sources in such a way that learners are not overwhelmed by the demands of the learning process, but at the same time are engaged in higher order thinking processes. Guidance aids learners in dealing with the demands of a…
Descriptors: Educational Technology, Learning Processes, College Students, Retention (Psychology)
Yamada, Reiko – International Education Journal: Comparative Perspectives, 2014
Ensuring gains in the learning outcomes of college students has become a major concern for Japanese higher education institutions. In recent decades, national and public as well as private universities have been forced to embed learning outcomes into their curriculum. A number of studies have shown that the learning outcomes of students are…
Descriptors: Foreign Countries, Outcomes of Education, College Students, Comparative Analysis
Virgin, Robb – Social Studies, 2014
Many school districts across North America have turned to a framework for curriculum design and instruction called "Understanding by Design." Included in the framework is a call for teachers to create "essential questions" that provocatively ask students to consider and learn the "big ideas and core processes within the…
Descriptors: History Instruction, Curriculum Design, Questioning Techniques, Learner Controlled Instruction
Hoffler, Tim N.; Schwartz, Ruth N. – Computers & Education, 2011
The effects of self-pacing versus system-pacing were examined in different versions of a computer-based learning environment (static pictures/animations). The role of cognitive style was also considered. While the variables investigated did not have a direct impact on either learning outcome or cognitive load, significant interaction effects were…
Descriptors: Cognitive Style, Pacing, Computer Assisted Instruction, Interaction
Kuhn, Deanna; Pease, Maria; Wirkala, Clarice – Journal of Experimental Child Psychology, 2009
The skill of predicting outcomes based on simultaneous effects of multiple factors was examined. Over five sessions, 91 sixth graders engaged this task either individually or in pairs and either preceded or followed by six sessions on the more widely studied inquiry task that requires designing and interpreting experiments to identify individual…
Descriptors: Cooperation, Grade 6, Followup Studies, Learner Controlled Instruction
DiBenedetto, Maria K.; Bembenutty, Hefer – Online Submission, 2011
The present study examined the associations between self-regulated learning and science achievement and whether the academic self-regulation variables described, such as self-efficacy, delay of gratification, and help seeking, predict science achievement in courses deemed necessary for a major in science. It was hypothesized that students who do…
Descriptors: College Students, Help Seeking, Delay of Gratification, Self Efficacy
Wu, Will F. W.; Magill, Richard A. – Research Quarterly for Exercise and Sport, 2011
For this study, we investigated the effects of self-controlled practice on learning multiple motor skills. Thirty participants were randomly assigned to self-control or yoked conditions. Participants learned a three-keystroke pattern with three different relative time structures. Those in the self-control group chose one of three relative time…
Descriptors: Learning Strategies, Error Patterns, Learner Controlled Instruction, Self Management
Behrend, Tara S.; Thompson, Lori Foster – International Journal of Training and Development, 2012
Animated agents have the potential to increase engagement and learning during online training by acting as personalized tutors. However, little is known about the conditions that make these agents most effective. In this study, 183 e-learners completed a Microsoft Excel training course. Approximately half were assigned an agent with predetermined…
Descriptors: Computer Assisted Instruction, Self Efficacy, Learner Controlled Instruction, Feedback (Response)
Galy, Edith; Downey, Clara; Johnson, Jennie – Journal of Information Technology Education, 2011
Creating an integrative research framework that extends a model frequently used in the Information Systems field, the Technology Acceptance Model, together with variables used in the Education field, this empirical study investigates the factors influencing student performance as reflected by their final course grade. The Technology Acceptance…
Descriptors: Electronic Learning, Self Efficacy, Academic Achievement, Online Courses
Ulrich, Jana; Karvonen, Meagan – Internet and Higher Education, 2011
Higher educational institutions face mounting challenges to the way they operate, including a growing population of demographically diverse students who demand flexibility in course delivery, timing, and content. Web 2.0 applications can be important components in implementing the required change. Implementation, however, requires faculty…
Descriptors: Structural Equation Models, Online Courses, Prior Learning, Innovation
Hung, Min-Ling; Chou, Chien; Chen, Chao-Hsiu; Own, Zang-Yuan – Computers & Education, 2010
The purpose of this study was to develop and validate a multidimensional instrument for college students' readiness for online learning. Through a confirmatory factor analysis, the Online Learning Readiness Scale (OLRS) was validated in five dimensions: self-directed learning, motivation for learning, computer/Internet self-efficacy, learner…
Descriptors: Electronic Learning, Learning Readiness, Self Efficacy, Learning Motivation
Artino, Anthony R. – Journal of Computing in Higher Education, 2009
This study employed a social-cognitive view of self-regulated learning to examine how several personal factors relate to academic success in an online course. Service academy undergraduates (N = 481) completed a survey that assessed their motivational beliefs (self-efficacy and task value); negative achievement emotions (boredom and frustration);…
Descriptors: Self Efficacy, Academic Achievement, Learning Strategies, Student Motivation
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