A review of the International Handbook of Computer-Supported Collaborative Learning 2021
A review of the International Handbook of Computer-Supported Collaborative Learning 2021
复制标题
2021 年计算机支持协作学习国际手册回顾
DOI:
10.1007/s11412-020-09336-0
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发表时间:
2020
影响因子:
4.3
通讯作者:
Roschelle, Jeremy
中科院分区:
文献类型:
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作者:
Roschelle, Jeremy
The arrival of a major new handbook on CSCL, the International Handbook of Computer-Supported Collaborative Learning 2020 (Cress et al. in press-a) is clearly a landmark for this approximately thirty-year-old field within the learning sciences. Thirty years is an interesting period of time for a volume that aims to tell the story of how a scientific field has evolved. Thirty years is a span in which a field can evolve greatly, and in this case, scholars used the time productively to develop a progression of theories, designs, methods, and linkages to foundational concepts. Thirty years is also an amount of time that fits within the span of an individual career. This allows for the inclusion of authors who have been major contributors to the field since its early days and allows for an intellectual history that is still living, not a forensic matter. This Handbook fully takes up the opportunity to cover the field with full respect and accountability both to early precedents and to how its foundations, theories, designs, methods, and other components have evolved. Rather than attempting a comprehensive review of this 35 chapter volume, I will comment on four themes that cut across chapters, with an eye towards how engaging with this Handbook could benefit those who wish to advance their scholarship and careers in computer-supported collaborative learning. In two brief discussions, I will celebrate the internationalism and intellectual histories prominent in the volume. Two longer discussions will build from the analysis in Thomas Kuhn's (2012) classic “The Structure of Scientific Revolutions.” In his book, Kuhn describes science as always evolving not a smooth linear progress, but rather in alternating phases of “normal” and “revolutionary” science, the latter of which gives rise to “paradigm shifts.” The opening chapter of this Handbook (Cress et al. in press-b) evokes Kuhn by discussing Stahl's (2015) reflection that “CSCL began to develop at a time, when there was ‘a pervasive sense of a paradigm revolution in learning research’.” I will suggest that readers can see this Handbook as a consensus about the state of the art, upon which they can build a next layer of scholarship. Alternatively, I will suggest that readers can see this book as describing the disequilibria in CSCL—the unresolved tensions, unmet https://doi. org/10.1007/s11412-020-09336-0
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DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
Yael Kali;C. Hoadley
通讯作者:
C. Hoadley
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
U. Cress;J. Oshima;C. Rosé;A. Wise
通讯作者:
A. Wise
DOI:
--
发表时间:
2015
期刊:
Int. J. Comput. Support. Collab. Learn.
影响因子:
--
作者:
G. Stahl
通讯作者:
G. Stahl
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
Bodong Chen;Stian Håklev;C. Rosé
通讯作者:
C. Rosé
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
Kimberley Gomez;L. Gomez;M. Worsley
通讯作者:
M. Worsley