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Direct linkMason, Lucia; Tornatora, Maria Caterina – Educational Psychology, 2016
The study aimed to extend current research on conditions that better support analogical encoding through mutual alignment. We focused on two variables that have not been examined independently in previous studies: the joint presentations of two cases of a scientific phenomenon and the explicit instructions for comparison. One hundred and…
Descriptors: Cognitive Processes, Logical Thinking, Grade 5, Grade 7
Chen, Chun-Ting; She, Hsiao-Ching – International Journal of Science and Mathematics Education, 2015
This study examines the difference in effectiveness between two scientific inquiry programs-one with an emphasis on scientific reasoning and one without a scientific reasoning component-on students' scientific concepts, scientific concept-dependent reasoning, and scientific inquiry. A mixed-method approach was used in which 115 grade 5…
Descriptors: Inquiry, Science Instruction, Thinking Skills, Logical Thinking
Download full textNamkung, Jessica M.; Fuchs, Lynn S. – Grantee Submission, 2015
The purpose of this study was to examine the cognitive predictors of calculations and number line estimation with whole numbers and fractions. At-risk 4th-grade students (N = 139) were assessed on 7 domain-general abilities (i.e., working memory, processing speed, concept formation, language, attentive behavior, and nonverbal reasoning) and…
Descriptors: Predictor Variables, At Risk Students, Grade 4, Elementary School Students
Shemwell, Jonathan T.; Gwarjanski, Kalee R.; Capps, Daniel K.; Avargil, Shirly; Meyer, Joanna L. – International Journal of Science Education, 2015
In scientific arguments, claims must have meaning that extends beyond the immediate circumstances of an investigation. That is, claims must be generalised in some way. Therefore, teachers facilitating classroom argumentation must be prepared to support students' efforts to construct or criticise generalised claims. However, widely used…
Descriptors: Generalization, Persuasive Discourse, Science Instruction, Teaching Methods
Cho, Eunsoo; Roberts, Garrett J.; Capin, Philip; Roberts, Greg; Miciak, Jeremy; Vaughn, Sharon – Learning Disabilities Research & Practice, 2015
We examined cognitive attributes, attention, and self-efficacy of fourth grade struggling readers who were identified as adequate responders (n = 27), inadequate responders with comprehension only deficits (n = 46), and inadequate responders with comprehension and word reading deficits (n = 52) after receiving a multicomponent reading…
Descriptors: Cognitive Ability, Attention, Self Efficacy, Elementary School Students
Marton, Ference; Pang, Ming Fai – Frontline Learning Research, 2013
In helping learners to make a novel meaning their own, such as when helping children to understand what a word means or teaching students a new concept in school, we frequently point to examples that share the aimed-at meaning but differ otherwise. This type of approach rests on the assumption that novel meanings can be acquired through the…
Descriptors: Novelty (Stimulus Dimension), Computer Games, Differences, Phenomenology
Gillies, Robyn M.; Nichols, Kim; Khan, Asaduzzaman – Cambridge Journal of Education, 2015
Teaching students to use and interpret representations in science is critically important if they are to become scientifically literate and learn how to communicate their understandings and learning in science. This study involved 248 students (119 boys and 129 girls) from 26 grade 6 teachers' classes in nine primary schools in Brisbane,…
Descriptors: Elementary School Science, Elementary School Students, Scientific Concepts, Concept Formation
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
