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Rasmussen, Chris; Ellis, Jessica; Zazkis, Dov; Bressoud, David – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
We present findings from case study analyses at five exemplary calculus programs at US institutions that offer a doctoral degree in mathematics. Understanding the features that characterize exemplary calculus programs at doctoral degree granting institutions is particularly important because the vast majority of STEM graduates come from such…
Descriptors: Mathematics Education, Calculus, Doctoral Degrees, College Mathematics
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Thomas, William G.; Jones, Patrick D. – International Association for Development of the Information Society, 2013
The History Harvest project (http://historyharvest.unl.edu) is an open, digital archive of historical artifacts gathered from communities across the United States. Each year, The University of Nebraska-Lincoln Department of History partners with local institutions and community members within a highlighted area to collect, preserve, and share…
Descriptors: History Instruction, Experiential Learning, Undergraduate Students, Data Collection
Yan, Peng; Slator, Brian M.; Vender, Bradley; Jin, Wei; Kariluoma, Matti; Borchert, Otto; Hokanson, Guy; Aggarwal, Vaibhav; Cosmano, Bob; Cox, Kathleen T.; Pilch, André; Marry, Andrew – International Association for Development of the Information Society, 2013
Research into virtual role-based learning has progressed over the past decade. Modern issues include gauging the difficulty of designing a goal system capable of meeting the requirements of students with different knowledge levels, and the reasonability and possibility of taking advantage of the well-designed formula and techniques served in other…
Descriptors: Intelligent Tutoring Systems, Immersion Programs, Role Playing, Biological Sciences
Sullivan, Peter; Clarke, Doug; Michaels, Debbie; Mornane, Angela; Roche, Anne – Mathematics Education Research Group of Australasia, 2012
The research reported here was motivated by curiosity about ways of suggesting tasks and activities to teachers that assist them in their planning and which allow them to see the purpose of the suggested tasks. A group of junior secondary teachers involved in a larger project worked through a set of tasks that sought to address the content they…
Descriptors: Mathematics Teachers, Mathematics Instruction, Foreign Countries, Mathematical Concepts
Upfold, Christopher – International Association for Development of the Information Society, 2016
Technology facilitated teaching and learning can now influence the way both lecturers and students collaborate. The problem is that many of these interventions are conducted in a non-systematic ad-hoc way. There are concerns that merely adopting a traditional lecturing approach to a technology based environment provides little if any advantage to…
Descriptors: Guidelines, Graduate Study, Learning Modules, Blended Learning
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Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2013
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…
Descriptors: Educational Research, Data Collection, Data Analysis, Generalizability Theory
García, Olga Arranz; Secades, Vidal Alonso – International Association for Development of the Information Society, 2013
In the information age, one of the most influential institutions is education. The recent emergence of MOOCS [Massively Open Online Courses] is a sample of the new expectations that are offered to university students. Basing decisions on data and evidence seems obvious, and indeed, research indicates that data-driven decision-making improves…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Blended Learning
Stamper, John C.; Lomas, Derek; Ching, Dixie; Ritter, Steve; Koedinger, Kenneth R.; Steinhart, Jonathan – International Educational Data Mining Society, 2012
Traditional experimental paradigms have focused on executing experiments in a lab setting and eventually moving successful findings to larger experiments in the field. However, data from field experiments can also be used to inform new lab experiments. Now, with the advent of large student populations using internet-based learning software, online…
Descriptors: Internet, Feedback (Response), Computer Software, Data Collection
Sullivan, Peter; Clarke, David; Clarke, Doug; Gould, Peter; Leigh-Lancaster, David; Lewis, Gerard – Mathematics Education Research Group of Australasia, 2012
Insights into aspects of teachers' planning reported here were gathered as part of a broader project examining aspects of the implementation of the Australian curriculum in mathematics. In particular, responses of teachers to a survey of various aspects of decisions that inform their planning are discussed. While there is diversity in processes…
Descriptors: Foreign Countries, Mathematics Teachers, Mathematics Instruction, Educational Planning
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Nocchi, Susanna; Blin, Françoise – Research-publishing.net, 2013
Notwithstanding their potential for novel approaches to language teaching and learning, Virtual Worlds (VWs) present numerous technological and pedagogical challenges that require new paradigms if the language learning experience and outcomes are to be successful. In this presentation, we argue that the notions of presence and affordance, together…
Descriptors: Foreign Countries, Italian, Second Language Learning, Web Based Instruction
Mostow, Jack; Beck, Joseph E. – International Working Group on Educational Data Mining, 2009
The ability to log tutorial interactions in comprehensive, longitudinal, fine-grained detail offers great potential for educational data mining--but what data is logged, and how, can facilitate or impede the realization of that potential. We propose guidelines gleaned over 15 years of logging, exploring, and analyzing millions of events from…
Descriptors: Data Analysis, Data Collection, Intelligent Tutoring Systems, Guidelines
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Lamont, Alexandra – Music Education Research, 2011
To address the question of musical identity, the research the author mainly draws on takes the form of qualitative, in-depth interviews with people about how music fits into their everyday lives and musical biographies. In this the author adopts a largely biographical and social constructionist perspective, asking people to reflect on important…
Descriptors: Music Education, Music, Music Activities, Lifelong Learning
Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
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