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Technology infusion in K-12 classrooms: a retrospective look at three decades of challenges and advancements in research and practice.

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Title: Technology infusion in K-12 classrooms: a retrospective look at three decades of challenges and advancements in research and practice.
Authors: Ross, Steven M. (AUTHOR)
Source: Educational Technology Research & Development. Oct2020, Vol. 68 Issue 5, p2003-2020. 18p.
Subjects: Educational technology, Educational objectives, School districts, Classrooms
Abstract: Educational technology offers unique affordances as a learning tool and delivery system for enhancing and personalizing instruction. Over the past two decades, efforts by school districts and states to infuse technology into everyday K-12 education through one-to-one laptop initiatives have rapidly proliferated. In this paper, I examine such initiatives from studies in the literature and from my own research, starting with the Apple Classroom of Tomorrow in the mid-1980′s and continuing today with comprehensive mixed-method evaluations in school districts. Drawing from this work, I focus on several themes that create both challenges and opportunities for technology infusion to occur in more effective and sustainable ways. These include: (a) conceptualizing technology as an educational tool and delivery system, not as a "treatment" in itself; (b) defining and communicating to stakeholders what proximal and long-term outcomes the technology initiative is (and is not) expected to promote; (c) not over-promising impacts on student achievement on standardized assessments where technology applications are directed primary toward other educational goals; and (d) conducting ongoing evaluation studies to provide evidence of program implementation progress and effectiveness at different phases of the initiative. [ABSTRACT FROM AUTHOR]
Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Educational technology offers unique affordances as a learning tool and delivery system for enhancing and personalizing instruction. Over the past two decades, efforts by school districts and states to infuse technology into everyday K-12 education through one-to-one laptop initiatives have rapidly proliferated. In this paper, I examine such initiatives from studies in the literature and from my own research, starting with the Apple Classroom of Tomorrow in the mid-1980′s and continuing today with comprehensive mixed-method evaluations in school districts. Drawing from this work, I focus on several themes that create both challenges and opportunities for technology infusion to occur in more effective and sustainable ways. These include: (a) conceptualizing technology as an educational tool and delivery system, not as a "treatment" in itself; (b) defining and communicating to stakeholders what proximal and long-term outcomes the technology initiative is (and is not) expected to promote; (c) not over-promising impacts on student achievement on standardized assessments where technology applications are directed primary toward other educational goals; and (d) conducting ongoing evaluation studies to provide evidence of program implementation progress and effectiveness at different phases of the initiative. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11423-020-09756-7
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