Purpose

Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. Instead, this paper aims to explore the role of AI in educational leadership.

Design/methodology/approach

To explore the role of AI in educational leadership, I synthesized the literature that intersects AI, decision-making, and educational leadership from multiple disciplines such as computer science, educational leadership, administrative science, judgment and decision-making and neuroscience. Grounded in the intellectual interrelationships between AI and educational leadership since the 1950s, this paper starts with conceptualizing decision-making, including both individual decision-making and organizational decision-making, as the foundation of educational leadership. Next, I elaborated on the symbiotic role of human-AI decision-making.

Findings

With its efficiency in collecting, processing, analyzing data and providing real-time or near real-time results, AI can bring in analytical efficiency to assist educational leaders in making data-driven, evidence-informed decisions. However, AI-assisted data-driven decision-making may run against value-based moral decision-making. Taken together, both leaders' individual decision-making and organizational decision-making are best handled by using a blend of data-driven, evidence-informed decision-making and value-based moral decision-making. AI can function as an extended brain in making data-driven, evidence-informed decisions. The shortcomings of AI-assisted data-driven decision-making can be overcome by human judgment guided by moral values.

Practical implications

The paper concludes with two recommendations for educational leadership practitioners' decision-making and future scholarly inquiry: keeping a watchful eye on biases and minding ethically-compromised decisions.

Originality/value

This paper brings together two fields of educational leadership and AI that have been growing up together since the 1950s and mostly growing apart till the late 2010s. To explore the role of AI in educational leadership, this paper starts with the foundation of leadership—decision-making, both leaders' individual decisions and collective organizational decisions. The paper then synthesizes the literature that intersects AI, decision-making and educational leadership from multiple disciplines to delineate the role of AI in educational leadership.

中文翻译：

---

教育领导中的人工智能：人与人工智能决策的共生作用

目的

人工智能 (AI) 是指一种类似于人类决策心理过程的算法或计算机化系统。这份立场文件超越了人工智能在教学和学习中的耸人听闻的夸张。相反，本文旨在探讨人工智能在教育领导中的作用。

设计/方法/方法

为了探索人工智能在教育领导中的作用，我综合了来自计算机科学、教育领导、行政科学、判断和决策以及神经科学等多个学科的人工智能、决策和教育领导交叉的文献。本文以 1950 年代以来人工智能与教育领导力之间的智力相互关系为基础，从概念化决策开始，包括个人决策和组织决策，作为教育领导力的基础。接下来，我详细阐述了人类与人工智能决策的共生作用。

发现

凭借其在收集、处理、分析数据和提供实时或接近实时结果方面的效率，人工智能可以带来分析效率，帮助教育领导者做出数据驱动、循证决策。然而，人工智能辅助的数据驱动决策可能与基于价值的道德决策背道而驰。总之，领导者的个人决策和组织决策最好通过混合使用数据驱动、循证决策和基于价值的道德决策来处理。人工智能可以作为一个扩展的大脑来做出数据驱动、循证决策。人工智能辅助数据驱动决策的缺点可以通过以道德价值观为指导的人类判断来克服。

实际影响

本文最后为教育领导从业者的决策和未来的学术探究提出了两项​​建议：密切关注偏见并注意道德上妥协的决定。

原创性/价值

这篇论文汇集了教育领导力和人工智能这两个领域，这两个领域自 1950 年代以来一直在共同成长，但直到 2010 年代末才逐渐分开。为了探讨人工智能在教育领导中的作用，本文从领导的基础——决策、领导的个人决策和集体组织决策开始。然后，本文综合了将人工智能、决策和教育领导从多个学科交叉的文献，以描绘人工智能在教育领导中的作用。