|本期目录/Table of Contents|

[1]田 芬.从“数据崇拜”到“数据正义”:人工智能时代高等教育研究范式的旨趣转换[J].清华大学教育研究,2021,(01):77-85.
 TIAN Fen.From?Data?Worship?to?Data?Justice:?The?Higher?Education?Research?Paradigm?in?the?Era?of?Artificial?Intelligence[J].TSINGHUA JOURNAL OF EDUCATION,2021,(01):77-85.
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从“数据崇拜”到“数据正义”:人工智能时代高等教育研究范式的旨趣转换
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清华大学教育研究[ISSN:1001-4519/CN:11-1610/G4]

卷:
期数:
2021年01期
页码:
77-85
栏目:
教育研究方法
出版日期:
2021-02-20

文章信息/Info

Title:
From?Data?Worship?to?Data?Justice:?The?Higher?Education?Research?Paradigm?in?the?Era?of?Artificial?Intelligence
作者:
田 芬
厦门大学 教育研究院/高等教育质量建设协同创新中心
Author(s):
TIAN Fen
Institute?of?Education,?Centre?of?Higher?Education?Quality?construction?Innovation,?Xiamen?University
关键词:
人工智能高等教育研究范式数据崇拜数据正义转型路径
Keywords:
artificial intelligence higher education research paradigm data worship data justice transformational path
分类号:
G40-03
文献标志码:
A
摘要:
人工智能时代为高等教育研究带来本体论、认识论和方法论的变化,从而产生新的高等教育研究范式。该研究范式的旨趣从“数据崇拜”向“数据正义”转变。该研究范式的特征为:研究者的主体性与技术理性结合、计算思维和因果思维结合、研究效率与研究质量并重。该研究范式的价值体现为促进学科建设、解决高等教育实践问题和凝练高等教育思想。为了实现研究范式的旨趣转换,高等教育研究者需要具备范式旨趣转换意识、培养学科情感、研究方法训练、高等基本理论的修养。
Abstract:
The era of artificial intelligence has brought about changes in ontology, epistemology, and methodology?for higher education research, producing a new higher education research paradigm. The research interest of the paradigm is changed from “Data worship” to “Data justice”. The characteristics of this paradigm are as follows: the combination of researcher’s subjectivity and technological rationality, the combination of computational thinking and cause-effect thinking, and the equal emphasis on research efficiency and research quality. The value of this new research paradigm is embodied in promoting the development of higher education as a discipline, solving practical problems in higher education, and forming new thoughts of higher education. To realize the transformation of this new research paradigm, higher education researchers need to have the awareness of paradigm transformation, cultivate the commitment to the discipline, practice new research methods, and promote the understanding of fundamental theories in higher education.

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[1]张优良 尚俊杰.人工智能时代的教师角色再造[J].清华大学教育研究,2019,(04):39.
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更新日期/Last Update: 2021-02-20