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Showing all 11 results Save | Export
Greenway, Gina – ProQuest LLC, 2012
Many factors contribute to student achievement. This study focuses on three areas: how students learn, how student personality type affects performance, and how course format affects performance outcomes. The analysis sought to improve understanding of the direction and magnitude with which each of these factors impacts student success. Improved…
Descriptors: Agricultural Education, Personality Traits, Cognitive Style, Learning Processes
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Folkestad, James E.; Anderson, Sharon K. – Journal on Educational Psychology, 2009
Is the world "flat" or is the world "spiky"? Although leading authors and thinkers [Florida, 2005] struggle to find the perfect metaphor for describing our 21st century global ecosystem, there is agreement that the landscape is shifting. There is overwhelming agreement that our current education system was designed and…
Descriptors: Mass Instruction, Content Analysis, Web 2.0 Technologies, Multiple Intelligences
Kuhn, Matthew S. – Learning & Leading with Technology, 2008
Tremendous growth in educational technology tools, applications, and Web 2.0 resources have created a plethora of new methods to meet the learning needs of all students. Unfortunately, the potential of these methods is hardly understood before a new technological breakthrough makes its way into the classroom, through either teachers or, more…
Descriptors: Multiple Intelligences, Cognitive Style, Educational Technology, Teaching Methods
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Zajac, Maria – Campus-Wide Information Systems, 2009
Purpose: The purpose of this paper is to present the results of research aimed at collecting the data necessary for preparing personalised content of e-learning courses. Its aim is to show how the information describing individual learning styles can be linked to the rules of creating tailored online courses. Design/methodology/approach: The paper…
Descriptors: Multiple Intelligences, Online Courses, Electronic Learning, Cognitive Style
Sigette, Tyson – Online Submission, 2009
This paper addresses many theories of learning and human development which are very similar with regards as to how they suggest learning occurs. The differences in most of the theories exist in how they treat the development of the learner compared to methods of teaching. Most of the major learning theories taught to educators today are based on…
Descriptors: Learning Theories, Multiple Intelligences, Educational Psychology, Psychologists
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Schrand, Tom – College Teaching, 2008
Educational technology is seldom used to facilitate more active student learning in the classroom. Instructors who have mastered PowerPoint, however, could just as easily learn to create simple pieces of interactive multimedia that encourage student participation in learning tasks and that appeal to multiple intelligences and learning styles.…
Descriptors: Multiple Intelligences, Student Participation, Active Learning, Educational Technology
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Kelly, Declan – Journal of Educational Multimedia and Hypermedia, 2008
Within the field of technology enhanced learning, adaptive educational systems offer an advanced form of learning environment that attempts to meet the needs of different students. Such systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. Subsequently, using the…
Descriptors: Multiple Intelligences, Computer Assisted Instruction, Educational Environment, Learner Controlled Instruction
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Zhang, Ke; Bonk, Curtis J. – Canadian Journal of Learning and Technology, 2008
This paper critically reviews various learning preferences and human intelligence theories and models with a particular focus on the implications for online learning. It highlights a few key models, Gardner's multiple intelligences, Fleming and Mills' VARK model, Honey and Mumford's Learning Styles, and Kolb's Experiential Learning Model, and…
Descriptors: Online Courses, Student Diversity, Preferences, Cognitive Style
Cifuentes, Lauren; Hughey, Jane – 1998
The purpose of this study was to examine the differential effects of computer conferencing on expository writing for undergraduate students (n=109) of seven intelligence types (linguistic, logical/mathematical, spatial, bodily/kinesthetic, musical, interpersonal, and intrapersonal). Students were assigned to four treatment groups that provided…
Descriptors: Aptitude Treatment Interaction, Cognitive Style, Computer Mediated Communication, Computer Uses in Education
Kerka, Sandra – 2000
Howard Gardner and others have continued to expand on Gardner's theory of multiple intelligences (MI), a broad range of abilities people use to learn, solve problems, and create. Whereas most past studies and practical applications of MI theory have focused on learners in grades K-12, recent projects are extending MI to adult education. For…
Descriptors: Adult Education, Adult Learning, Adult Literacy, Adult Students
Hudson River Center for Program Development, Glenmont, NY. – 2001
This document is intended to help adult education program managers throughout New York become oriented to the world of adult education, handle their new responsibilities as program managers, and obtain up-to-date information to assist them in making educational and administrative decisions. The following are among the topics discussed in the…
Descriptors: Academic Standards, Accountability, Administrator Guides, Adult Education