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人工智能教育应用的算法隐忧及应对进路

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算法是人工智能教育应用的核心技术支撑.算法在对教育活动进行算度化过程中,能够释放可观的技术效能,但同时也存在诸如衍生技术的控制困境、裂解教育的复杂特质、诱发学生的认知失衡以及钝化教师的教育智慧等教育隐忧,给教育带来不确定性风险.对此,教育实践者需要打破算法思维规限,构建适度算法信任,并进一步修正算法运行机制,寻求突破算法桎梏的技术性方案.此外,还需关注教师的教育智慧生长问题,以根植算法风险抗衡的智慧性基因,最终实现算法运行的实践增能.
The Hidden Worries of Artificial Intelligence in Its Education Application of Algorithm Operation and Its Countermeasures
Algorithm is the core technical support of artificial intelligence in its education appli-cation.The intelligent algorithm guided by"calculationism"can releases considerable technical effi-ciency,but there are also hidden educational worries such as technology control dilemma,blunting teachers'educational wisdom,inducing students'cognitive imbalance cracking the complex charac-teristics of education,which bring uncertain risks to education.In this regard,educational practi-tioners need to break the limits of algorithmic thinking,calibrate the trust threshold of algorithms,further optimize the operating mechanism of algorithms,and actively seek technical solutions to break the shackles of algorithms.In addition,teachers also need to pay attention to their own educa-tional wisdom growth problems,in order to root in the anti-risk genes to prevent wisdom passivation and finally realize the practical energy of the algorithm operation.

educational application of artificial intelligencealgorithmcomputationalismal-gorithm trusteducational wisdom

李荣华、田友谊

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汕头大学高等教育研究所(汕头 515000)

华中师范大学教育学院(武汉430079)

人工智能教育应用 算法 可算度化 算法信任 教育智慧

2024

当代教育科学
山东省教育厅教育科学研究所 山东省教育学会

当代教育科学

北大核心
影响因子:0.417
ISSN:1672-2221
年,卷(期):2024.(7)