The aim of the study was to investigate the effect of the Common Knowledge Construction Model (CKCM) on 10th-grade students' conceptual understanding of the buoyancy and density of liquids topic. Within a pre-experimental (one group pre-test/post-test) research design, this study was conducted with 22 of 10th-grade students. To collect data, the…

This study aimed to measure the contribution of summarizing and questioning in the Reading-Questioning-Answering (RQA) learning model integrated with mind mapping on the genetic learning outcomes. This study was a correlational research and has been analyzed using multiple regressions. Mind mapping, summarizing, and questioning were positioned as…

This study investigates two models of L2 vocabulary acquisition at an advanced L2 level: L1 lemma mediation and the revised hierarchical models. Proponents of the L1 lemma mediation model postulate that advanced L2 learners map L2 words to L1 meanings or concepts, whereas proponents of the revised hierarchical model argue that the increasing…

For today's societies trying to cope with the current globally increased competition, existence of individuals who can take risks, solve problems and adopt changes an innovation has gained more importance when compared to the past. This situation brings responsibility to educational institutions for increasing the number of innovative individuals…

The purpose of the study is to perform a less-dimensional thorough visualization process for the purpose of determining the images of the students on the concept of angle. The Ward clustering analysis combined with Self-Organizing Neural Network Map (SOM) has been used for the dimension process. The Conceptual Understanding Tool, which consisted…

The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…

It is often assumed that graphemes are a crucial level of orthographic representation above letters. Current connectionist models of reading, however, do not address how the mapping from letters to graphemes is learned. One major challenge for computational modeling is therefore developing a model that learns this mapping and can assign the…

Educational software adoption across UK secondary schools is seen as unsatisfactory. Based on stakeholders' perceptions, this paper uses fuzzy cognitive maps (FCMs) to model this adoption context. It discusses the development of the FCM model, using a mixed-methods approach and drawing on participants from three UK secondary schools. The study…

Background: In the 1990s, Salmon developed a five-stage model for enabling and scaffolding remote groups to work and learn together using asynchronous bulletin boards. The model has informed online learning and development practice across different levels and education for online and blended learning. Purpose: This paper reports our testing of the…

Assessments of (n=16) year 9 and 10 advanced mathematics students while they solved mathematics problems indicated that the nature of the problem was a basic factor in determining the type of solution strategy used. Strategies were broadly classified into Ikonic or Concrete Symbolic categories. (31 references) (MKR)

This paper describes a computer-simulation model of the way in which basic reasoning processes develop in children. The model, based on PRISM-II programming language, was designed to reflect the manner in which world knowledge can be used to construct strategies for reasoning. The model learns strategies for performing transitive inference by…

Describes a model for reading--ERICA (Effective Reading in Content Areas)--that consists of four stages: preparing, thinking through, extracting and organizing, and translating. (HOD)