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Gil, Einat, Ed.; Mor, Yishay, Ed.; Dimitriadis, Yannis, Ed.; Köppe, Christian, Ed. – Understanding Teaching-Learning Practice, 2022
As we have come to accept the duality of physical and virtual learning spaces as a permanent feature of our educational landscape, we begin to question its validity. Is this really a dichotomy, or is it a continuum? Should this be the primary dimension around which we cluster educational experiences -- how does it intersect and interact with other…
Descriptors: Blended Learning, Educational Technology, Electronic Learning, Higher Education
Honey, Margaret A., Ed.; Hilton, Margaret, Ed. – National Academies Press, 2011
At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential.…
Descriptors: Learning Motivation, Science Education, Science Process Skills, Computer Games

Farynaiarz, Joseph V.; Lockwood, Linda G. – Journal of Research in Science Teaching, 1992
Utilizes a quasiexperimental design to examine the impact of microcomputer simulations on environmental problem solving by community college students. The experimental group of students (n=34) showed a highly significant improvement in problem-solving skills after being exposed to three simulation models that focused on lake pollution analysis,…
Descriptors: Community Colleges, Computer Assisted Instruction, Computer Simulation, Computer Uses in Education
Ignatz, Mila E.; Ignatz, Milton – 1987
There are many problems involved in upgrading scientific literacy in high schools: poorly qualified teachers, the lack of good instructional materials, and economic and academic disadvantages all contribute to the problem. This document describes a project designed to increase the opportunities available to the high school science student to…
Descriptors: Ability Identification, Academically Gifted, Black Students, Computer Simulation