NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chin, Huan; Chew, Cheng Meng – Education and Information Technologies, 2022
Solving word problems involving 'Time' is an important skill but poor mastery of the skill among elementary students has often been reported in the literature. In addition, the available diagnostic tools in the literature might be less efficient for identifying the various errors made by many students in solving word problems. Thus, an online…
Descriptors: Cognitive Tests, Diagnostic Tests, Problem Solving, Word Problems (Mathematics)
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Li; Zeng, Jieying; Ran, Xiaomeng; Cui, Zhanling; Zhou, Xinlin – ZDM: Mathematics Education, 2022
Mathematical problems can be divided into two types, namely, process-open and process-constrained problems. Solving these two types of problems may require different cognitive mechanisms. However, there has been only one study that investigated the differences of the cognitive abilities in process-open and process-constrained problem solving, and…
Descriptors: Problem Solving, Cognitive Processes, Cognitive Ability, Grade 5
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Thurn, Christian; Nussbaumer, Daniela; Schumacher, Ralph; Stern, Elsbeth – Journal of Intelligence, 2022
We explored the mediating role of prior knowledge on the relation between intelligence and learning proportional reasoning. What students gain from formal instruction may depend on their intelligence, as well as on prior encounters with proportional concepts. We investigated whether a basic curriculum unit on the concept of density promoted…
Descriptors: Prior Learning, Intelligence, Training, Logical Thinking
Chen, Guanhua – ProQuest LLC, 2018
This study is part of a larger design study that iteratively improves a robotics programming curriculum as well as a computational thinking (CT) instrument. Its focus was majorly on CT assessment and particularly on an online CT instrument with logging functionality that can store a student's problem-solving process by recording interactions…
Descriptors: Elementary School Students, Test Construction, Cognitive Tests, Computer Assisted Testing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Badru, Ademola K. – Journal of Education and Practice, 2015
This study examined the prediction of academic success of Junior secondary school mathematics students using their cognitive style and problem solving technique. A descriptive survey of correlation type was adopted for this study. A purposive sampling procedure was used to select five Public Junior secondary schools in Ijebu-Ode local government…
Descriptors: Success, Predictor Variables, Secondary School Students, Junior High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Vainikainen, Mari-Pauliina; Wüstenberg, Sascha; Kupiainen, Sirkku; Hotulainen, Risto; Hautamäki, Jarkko – International Journal of Lifelong Education, 2015
In Finland, schools' effectiveness in fostering the development of transversal skills is evaluated through large-scale learning to learn (LTL) assessments. This article presents how LTL skills--general cognitive competences and learning-related motivational beliefs--develop during primary school and how they predict pupils' CPS skills at the end…
Descriptors: Foreign Countries, Elementary School Students, Learning Strategies, Skill Development
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yan, Duanli; Almond, Russell; Mislevy, Robert – ETS Research Report Series, 2004
Diagnostic score reports linking assessment outcomes to instructional interventions are one of the most requested features of assessment products. There is a body of interesting work done in the last 20 years including Tatsuoka's rule space method (Tatsuoka, 1983), Haertal and Wiley's binary skills model (Haertal, 1984; Haertal & Wiley, 1993),…
Descriptors: Comparative Analysis, Models, Bayesian Statistics, Statistical Inference