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Kim, So Hyun; Buzzell, George; Faja, Susan; Choi, Yeo Bi; Thomas, Hannah R; Brito, Natalie Hiromi; Shuffrey, Lauren C.; Fifer, William P.; Morrison, Frederick D.; Lord, Catherine; Fox, Nathan – Autism: The International Journal of Research and Practice, 2020
Although electrophysiological (electroencephalography) measures of executive functions (e.g. error monitoring) have been used to predict academic achievement in typically developing children, work investigating a link between error monitoring and academic skills in children with autism spectrum disorder is limited. In this study, we employed…
Descriptors: Executive Function, Kindergarten, Autism, Pervasive Developmental Disorders
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Díaz, Verónica; Aravena, Maria; Flores, George – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The article aims to determine the academic performance and errors in the resolution of types of problems of application of the quadratic function, of high school students from the Los Lagos Region and Los Rios Region in Chile. The approach is qualitative and descriptive with case studies. A math test with open response problems and an opinion…
Descriptors: Problem Solving, Mathematics Instruction, Case Studies, Foreign Countries
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Schad, Daniel J.; Nuthmann, Antje; Engbert, Ralf – Cognition, 2012
Time Factors (Learning);When the mind wanders, attention turns away from the external environment and cognitive processing is decoupled from perceptual information. Mind wandering is usually treated as a dichotomy (dichotomy-hypothesis), and is often measured using self-reports. Here, we propose the levels of inattention hypothesis, which…
Descriptors: Academic Achievement, Human Body, Eye Movements, Cognitive Processes
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Almog, Nava; Ilany, Bat-Sheva – Educational Studies in Mathematics, 2012
Inequalities are one of the foundational subjects in high school math curricula, but there is a lack of academic research into how students learn certain types of inequalities. This article fills part of the research gap by presenting the findings of a study that examined high school students' methods of approaching absolute value inequalities,…
Descriptors: Academic Achievement, Cognitive Processes, High School Students, Measures (Individuals)
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Mohanty, Atasi; Das, Swati Preeti – SAGE Open, 2015
The objective of the study was to examine the performance characteristics and differences between English and Oriya medium school children on various cognitive processing, reading, academic achievement, and teacher perception measures. The sample consists of 243 schoolchildren, 120 from Grade IV and 123 from Grade VII from three different schools…
Descriptors: Teaching Styles, Cognitive Processes, Language of Instruction, Academic Achievement
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Gerber, Michael M.; Hall, Robert J. – Journal of Learning Disabilities, 1987
The article explores information processing models of spelling performance and argues that an adequate theory of spelling processes must include: (1) qualitative changes in performance as a function of maturation that underlie development of automaticity; (2) transactional development of spelling-related knowledge structures and efficient…
Descriptors: Academic Achievement, Cognitive Processes, Elementary Secondary Education, Encoding (Psychology)
Birenbaum, Menucha; Tatsuoka, Kikumi K. – 1980
Much valuable information can be gained by analyzing the students' wrong responses. When a student answers a free response item she/he gives the response which she/he considers to be the correct one. Therefore, diagnosing the algorithm that led the student to his/her answer provides an important source of information for assessing his/her…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Algorithms
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Pellegrino, James W.; Goldman, Susan R. – Journal of Learning Disabilities, 1987
An overview is presented of information processing analyses of knowledge and performance in three areas of the elementary mathematics curriculum: basic addition and subtraction facts, complex procedures such as multicolumn subtraction, and the solution of word problems. Theories of the knowledge associated with "expert" performance are discussed.…
Descriptors: Academic Achievement, Addition, Cognitive Processes, Elementary Education
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