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Perreault, M. J.; Plowright, C. M. S. – Learning and Motivation, 2009
The failure to discriminate between a pattern consisting of four orthogonal bars and the same pattern rotated by 45 degrees has been interpreted in the literature as evidence against pictorial representations in honeybees. This study determines whether prior training can facilitate the discrimination. In Experiment 1, one group of bumblebees was…
Descriptors: Entomology, Visual Discrimination, Prior Learning, Training
Bell, Carol J. – Mathematics Teaching in the Middle School, 2011
Most future teachers are familiar with number patterns that represent an arithmetic sequence, and most are able to determine the general representation of the "n"th number in the pattern. However, when they are given a visual representation instead of the numbers in the pattern, it is not always easy for them to make the connection between the…
Descriptors: Preservice Teachers, Methods Courses, Teacher Education Curriculum, Geometric Concepts
French, Robert M.; Addyman, Caspar; Mareschal, Denis – Psychological Review, 2011
Individuals of all ages extract structure from the sequences of patterns they encounter in their environment, an ability that is at the very heart of cognition. Exactly what underlies this ability has been the subject of much debate over the years. A novel mechanism, implicit chunk recognition (ICR), is proposed for sequence segmentation and chunk…
Descriptors: Infants, Probability, Learning Processes, Pattern Recognition
Bradshaw, Jessica; Shic, Frederick; Chawarska, Katarzyna – Journal of Autism and Developmental Disorders, 2011
This study used eyetracking to investigate the ability of young children with autism spectrum disorders (ASD) to recognize social (faces) and nonsocial (simple objects and complex block patterns) stimuli using the visual paired comparison (VPC) paradigm. Typically developing (TD) children showed evidence for recognition of faces and simple…
Descriptors: Cognitive Processes, Autism, Novelty (Stimulus Dimension), Young Children
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
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
Sibbald, Matthew; de Bruin, Anique B. H. – Advances in Health Sciences Education, 2012
Clinicians are believed to use two predominant reasoning strategies: system 1 based pattern recognition, and system 2 based analytical reasoning. Balancing these cognitive reasoning strategies is widely believed to reduce diagnostic error. However, clinicians approach different problems with different reasoning strategies. This study explores…
Descriptors: Expertise, Pattern Recognition, Thinking Skills, Cooperative Learning
Lee, Kerry; Ng, Swee Fong; Pe, Madeline Lee; Ang, Su Yin; Hasshim, Muhammad Nabil Azhar Mohd; Bull, Rebecca – British Journal of Educational Psychology, 2012
Background: Exposure to mathematical pattern tasks is often deemed important for developing children's algebraic thinking skills. Yet, there is a dearth of evidence on the cognitive underpinnings of pattern tasks and how early competencies on these tasks are related to later development. Aims: We examined the domain-specific and domain-general…
Descriptors: Evidence, Structural Equation Models, Standardized Tests, Numeracy
Dong, Xiao – ProQuest LLC, 2010
Workflow technology has emerged as an eminent way to support scientific computing nowadays. Supported by mature technological infrastructures such as web services and high performance computing infrastructure, workflow technology has been well adopted by scientific community as it offers an effective framework to prototype, modify and manage…
Descriptors: Work Environment, Data Processing, Pattern Recognition, Semantics
Pistilli, Matthew D.; Arnold, Kimberly E. – About Campus, 2010
This article discusses how Purdue University is changing the academic behavior of struggling students. At Purdue, they've developed Signals as a means of helping students better understand where they stand gradewise early enough so that they can seek help and raise their grade or drop the course without the penalty of a failing grade. They knew…
Descriptors: Feedback (Response), Grades (Scholastic), Academic Achievement, Higher Education
Yeary, M. B.; Yu, T.; Palmer, R. D.; Monroy, H.; Ruin, I.; Zhang, G.; Chilson, P. B.; Biggerstaff, M. I.; Weiss, C.; Mitchell, K. A.; Fink, L. D. – IEEE Transactions on Education, 2010
Students are not exposed to enough real-life data. This paper describes how a community of scholars seeks to remedy this deficiency and gives the pedagogical details of an ongoing project that commenced in the Fall 2004 semester. Fostering deep learning, this multiyear project offers a new active-learning, hands-on interdisciplinary laboratory…
Descriptors: Meteorology, Data Analysis, Prediction, Natural Disasters
Sam, Sonn – ProQuest LLC, 2011
The purpose of this quantitative study was to investigate how Rhode Island high school principals rate success in implementing 21st century skills in their schools. Secondly, this study investigated how high school principals rate the influence of implementing of 21st century skills in curriculum and instruction in their schools. The high…
Descriptors: Principals, Critical Thinking, Thinking Skills, Problem Solving
Saenz, Victor B.; Hatch, Deryl; Bukoski, Beth E.; Kim, Suyun; Lee, Kye-hyoung; Valdez, Patrick – Community College Review, 2011
This study employs survey data from the Center for Community College Student Engagement to examine the similarities and differences that exist across student-level domains in terms of student engagement in community colleges. In total, the sample used in the analysis pools data from 663 community colleges and includes more than 320,000 students.…
Descriptors: Learner Engagement, Community Colleges, Classification, Multivariate Analysis
Tanes, Zeynep; Arnold, Kimberly E.; King, Abigail Selzer; Remnet, Mary Ann – Computers & Education, 2011
Feedback is a crucial form of information for learners. With the availability of new educational technologies, the manner in which feedback is delivered has changed tremendously. Existing research on the learning outcomes of the content and nature of computer mediated feedback is limited and contradictory. "Signals" is an educational data-mining…
Descriptors: Feedback (Response), Curriculum Development, Educational Technology, Content Analysis
Mathematics and Science Inequalities in the United Kingdom: When Elitism, Sexism and Culture Collide
Boaler, Jo; Altendorff, Lori; Kent, Geoff – Oxford Review of Education, 2011
An examination of gender, social class and ethnicity performance and participation patterns in different UK countries shows that inequities occur in relation to gender, class and ethnicity but that the patterns of inequity look quite different in the three domains. Achievement is equal for different genders but many more males take mathematics…
Descriptors: Foreign Countries, Gender Discrimination, Gender Bias, Gender Differences