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Yew-Jin Lee; Dongsheng Wan – Educational Studies, 2024
Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Difficulty Level
Lucas, Lyrica; Helikar, Tomáš; Dauer, Joseph – International Journal of Science Education, 2022
Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…
Descriptors: Cytology, Science Instruction, Teaching Methods, Biology
Moore, Robert L.; Oliver, Kevin M.; Wang, Chuang – Interactive Learning Environments, 2019
Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can…
Descriptors: Cognitive Processes, Online Courses, Discussion Groups, Learning Analytics
Musso, Mariel F.; Kyndt, Eva; Cascallar, Eduardo C.; Dochy, Filip – Frontline Learning Research, 2013
Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These factors have been identified as having important implications not only for the study of learning processes, but also as tools for improving curriculum designs, tutorial systems, and students'…
Descriptors: Prediction, Academic Achievement, Networks, Learning Processes
Clarken, Rodney H. – Online Submission, 2009
Moral intelligence is newer and less studied than the more established cognitive, emotional and social intelligences, but has great potential to improve our understanding of learning and behavior. Moral intelligence refers to the ability to apply ethical principles to personal goals, values and actions. The construct of moral intelligence consists…
Descriptors: Ethical Instruction, Altruism, Integrity, Ethics

Scott, Marcia Strong; And Others – American Journal of Mental Retardation, 1989
Performance on oddity transfer tasks was used to classify 40 mildly retarded, 6- through 9-year-old and 40 normally achieving children of the same age into their 2 respective groups. High levels of classification accuracy were observed with all 8 oddity types being sensitive to differences between the normally achieving and mildly retarded…
Descriptors: Classification, Cognitive Development, Cognitive Processes, Elementary Education

Cherkes-Julkowski, Miriam; Stolzenberg, Jonathan – Learning Disabilities: A Multidisciplinary Journal, 1991
Two discriminant function analyses were conducted to determine the cognitive/educational profile which differentiated 4 groups of 68 elementary/secondary level students: attention deficit disorder (ADD), with and without medication; learning disabilities (LD); and nonhandicapped. By treating the LD and nonmedicated ADD subjects as one group, a…
Descriptors: Attention Deficit Disorders, Classification, Cognitive Processes, Discriminant Analysis

Bonafina, Marcela A.; Newcorn, Jeffrey H.; McKay, Kathleen E.; Koda, Vivian H.; Halperin, Jeffrey M. – Journal of Learning Disabilities, 2000
Using cluster analysis, a study empirically divided 54 children with attention-deficit/hyperactivity disorder (ADHD) based on their Full Scale IQ and reading ability. Clusters had different patterns of cognitive, behavioral, and neurochemical functions, as determined by discrepancies in Verbal-Performance IQ, academic achievement, parent…
Descriptors: Academic Achievement, Aggression, Attention Deficit Disorders, Children

Nikolopoulou, Kleopatra – Journal of Science Education and Technology, 2000
Presents an investigation of 13- and 14-year-old students' classification skills when they analyze scientific data in science lessons. Finds that less-able students could only classify according to discrete criteria, and that the scientific context influenced students' classification skills. (Contains 18 references.) (Author/WRM)
Descriptors: Academic Ability, Classification, Cognitive Processes, Computer Uses in Education
Luan, Jing – 2003
This study aims to address learning outcomes from the perspective of learners. The research questions asked were: (1) What learner concentric ideas can be used to indicate the outcomes of learning? (2) How would the new learning outcome index be used to generate typologies? (3) What are the inner relationships of the typologies? and (4) How can…
Descriptors: Classification, Cognitive Processes, Community Colleges, Learning
Pieper, Edward L.; Deshler, Donald D. – 1980
The study involving 60 learning disabled (LD) and 30 normal achieving seventh through ninth graders was designed to identify adolescents homogeneously defined as exhibiting a "specific learning disability in arithmetic" and to determine if the cognitive processes (visual-spatial, visual-reasoning, and visual-memory) are related to the academic…
Descriptors: Academic Achievement, Adolescents, Arithmetic, Classification
Scott, Marcia S.; Perou, Ruth – 1993
Data are presented comparing children with learning disabilities to children with mild mental retardation, and comparing these two groups to normally achieving peers matched for chronological age (ages 6 to 8). Four studies were conducted, involving different types of oddity problems and rhyming skills. Results of the four studies indicated little…
Descriptors: Chronological Age, Classification, Cognitive Ability, Cognitive Processes
Webster, Raymond E. – 2001
This paper discusses the findings from a study that investigated the information processing characteristics of 93 children (ages 8-16) who have been diagnosed as having either attention deficit hyperactivity disorder (ADHD) only, ADHD-Predominately Inattentive Type, and combined ADHD and learning disabilities (LD). Thirty-nine average students,…
Descriptors: Attention Deficit Disorders, Attention Span, Classification, Cognitive Processes
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
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers