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Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
Emerson, Andrew; RodrÃguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
Dimensions of Knowing: A Conceptual Alternative to an Unhelpful Polarity between Knowledge and Skill
Rand, Jane – Research in Post-Compulsory Education, 2015
This paper reports research that responded to my experience of teacher trainees' perception of a polarity between knowledge and skill in English post-compulsory education and training (PCET). I developed a model of knowing designed to promote an alternative to this binary conceptualisation. The research set out to operationalise "Dimensions…
Descriptors: Student Attitudes, Knowledge Level, Knowledge Base for Teaching, Teacher Education
Johnson, Martin; Mehta, Sanjana; Rushton, Nicky – Pedagogies: An International Journal, 2015
A new "controlled assessment" model was introduced in England, Wales and Northern Ireland in 2009. This paper describes a research project that explores teachers' experiences of this new assessment model in General Certificate of Secondary Education (GCSE) level modern foreign language (MFL) speaking assessment. Focusing on teachers'…
Descriptors: Foreign Countries, Models, Evaluation Methods, Secondary School Teachers
Henriksson, Maria P.; Elwin, Ebba; Juslin, Peter – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
Although people often have to learn from environments with scarce and highly selective outcome feedback, the question of how nonfeedback trials are represented in memory and affect later performance has received little attention in models of learning and decision making. In this article, the authors use the generalized context model (Nosofsky,…
Descriptors: Feedback (Response), Constructivism (Learning), Early Adolescents, Memory
Karelaia, Natalia; Hogarth, Robin M. – Psychological Bulletin, 2008
The mathematical representation of E. Brunswik's (1952) lens model has been used extensively to study human judgment and provides a unique opportunity to conduct a meta-analysis of studies that covers roughly 5 decades. Specifically, the authors analyzed statistics of the "lens model equation" (L. R. Tucker, 1964) associated with 249 different…
Descriptors: Cues, Meta Analysis, Models, Task Analysis
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection