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Ting, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
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Punnoose, Alfie Chacko – Journal of Information Technology Education: Research, 2012
The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect…
Descriptors: Foreign Countries, Intention, Motivation, Personality Traits
Gagnon, Daniel A. – Online Submission, 2012
This paper describes the diffusion of Moodle within Cherokee County Schools. The diffusion is evaluated using the Bass Model and the RIPPLES model in order to evaluate relative success or failure. The Bass Model of Diffusion was calculated utilizing forecasting by analogy in order to analyze the adoption rates in a county high school. The adoption…
Descriptors: County School Districts, High Schools, Secondary School Teachers, Adoption (Ideas)
Page, Ellis B.; Paulus, Dieter H. – 1968
This study aimed at expanding a new field of educational measurement, by investigating the feasibility of using computer programs for the automatic analysis and evaluation of student writing. Essays written by secondary students in their English classes were rated by multiple independent judges on a number of traits usually considered important:…
Descriptors: Computer Assisted Instruction, Content Analysis, Educational Diagnosis, Educational Technology
Smallwood, Richard D. – 1962
The problem of enabling a teaching machine to adapt to the individual characteristics of students in presenting course material has been considered--general outlines of computer algorithms and decision criteria have been formulated. It is assumed that there exists both an ordered set of concepts which comprise the material to be learned and, for…
Descriptors: Cognitive Measurement, Computer Assisted Instruction, Computer Oriented Programs, Concept Teaching