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Investigating The Promise Of Mass-Customized Education: A Content Analysis Self-Reported Descriptions Of Web 2.0-Learning-Tools Based On Multiple Intelligence Theory

James E. Folkestad*, Sharon K. Anderson**

* Associate Professor; Colorado State University, School of Education, Fort Collins.

** Associate Professor, Colorado State University School of Education, Fort Collins.

Periodicity:November - January'2009
DOI : https://doi.org/10.26634/jpsy.2.3.311

Abstract

Is the world “flat” or is the world “spiky”? Although leading authors and thinkers (Florida, 2005; Friedman, 2006) 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 continues to operate on an antiquated industrial model. To meet efficiencies, instruction is produced for batch delivery. This mass-delivery method inevitably will emphasize one learning style (i.e., visual, auditory) and be taught through the lenses of one intelligence (i.e., logical mathematical). This causes failure-to-strive syndrome in many students as the ecosystem fails to provide them the proper support that nurtures and rewards their individual learning needs. (Beilke & Peoples, 1997; Brown & Adler, 2008; Gardner, 2007; Pink, 2006; Robinson, 2001).

Emerging technologies (Web 2.0) have the potential to deliver learning that is highly customized to individual interests and intelligences (Christensen, Horn, & Johnson, 2008). This paper reports on a content analysis of website descriptions of the top 100 Web 2.0 learning tools as identified by the Center for Learning and Performance Technologies. Emergent themes are reported and deductive coding -- based on Howard Gardner’s seven intelligences -- is used to refine thematic information.

Keywords

Multiple intelligences, Web 2.0, learning, Customized Learning.

How to Cite this Article?

James E. Folkestad and Sharon K. Anderson (2009). Investigating The Promise Of Mass-Customized Education: A Content Analysis Self-Reported Descriptions Of Web 2.0-Learning-Tools Based On Multiple Intelligence Theory. i-manager’s Journal on Educational Psychology, 2(3), 34-47. https://doi.org/10.26634/jpsy.2.3.311

References

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Investigating The Promise Of Mass-Customized Education: A Content Analysis Self-Reported Descriptions Of Web 2.0-Learning-Tools Based On Multiple Intelligence Theory

Abstract

Keywords

How to Cite this Article?

References

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