目录
CONTENTS
第 1 章 绪论 .................................................................................................................1
微课视频 67 分钟
1.1 人工智能的概念 .........................................................................................................1
1.1.1 人工智能的概念的提出 ..................................................................................1
1.1.2 人工智能的定义 ..............................................................................................2
1.2 人工智能的发展与流派 .............................................................................................3
1.3 主要应用领域 ............................................................................................................7
1.3.1 技术支撑型应用 ..............................................................................................7
1.3.2 社会服务型应用 ..............................................................................................8
1.3.3 跨学科融合应用 ..............................................................................................9
1.4 案例分析：AlphaGo 的产业影响 ............................................................................10
设计实践 ...........................................................................................................................12
问题研讨 ...........................................................................................................................12
第 2 章 Python 与人工智能数据处理基础 ....................................................................13
微课视频 60 分钟
2.1 Python 与人工智能 ..................................................................................................13
2.2 Python 开发环境搭建 ...............................................................................................13
2.2.1 Python 解释器的安装 ...................................................................................13
2.2.2 开发环境的选择 ............................................................................................14
2.2.3 模块与包的基本概念 ....................................................................................15
2.2.4 pip 包管理工具 .............................................................................................15
2.3 Python 语法基础 ......................................................................................................15
2.3.1 变量 ..............................................................................................................15
2.3.2 注释 ..............................................................................................................16
2.3.3 输出 ..............................................................................................................16
2.3.4 缩进 ..............................................................................................................16
2.3.5 循环 ..............................................................................................................16
2.4 人工智能常用数据形式 ...........................................................................................17
113401-01 人工智能通识教程 二改.indd 3 2026/8/19 14:01:44 IV 人工智能通识教程
2.4.1 列表 ..............................................................................................................17
2.4.2 字典 ..............................................................................................................17
2.4.3 NumPy 数组 ..................................................................................................18
2.4.4 Pandas 表 ......................................................................................................18
2.5 常用人工智能数据处理工具包 ................................................................................19
2.5.1 NumPy ..........................................................................................................19
2.5.2 Pandas ...........................................................................................................19
2.5.3 Matplotlib ......................................................................................................19
2.5.4 Seaborn .........................................................................................................20
2.6 数据处理基本流程 ...................................................................................................20
2.6.1 读取数据 .......................................................................................................21
2.6.2 查看数据 .......................................................................................................21
2.6.3 选择字段 .......................................................................................................21
2.6.4 处理缺失值 ...................................................................................................21
2.6.5 去除重复值 ...................................................................................................22
2.6.6 简单统计分析 ...............................................................................................22
2.7 案例分析：小费数据中的消费行为分析 .................................................................22
设计实践 ...........................................................................................................................24
问题研讨 ...........................................................................................................................24
第 3 章 人工智能工具与生态 .......................................................................................25
微课视频 63 分钟
3.1 相关技术基础 ..........................................................................................................25
3.1.1 机器学习 .......................................................................................................25
3.1.2 深度学习 .......................................................................................................26
3.1.3 Transformer ...................................................................................................28
3.2 通用人工智能工具 ...................................................................................................30
3.2.1 语言模型与对话系统 ....................................................................................30
3.2.2 图像生成与处理工具 ....................................................................................31
3.2.3 语音与翻译工具 ............................................................................................32
3.2.4 数据分析与可视化工具 ................................................................................35
3.3 专业领域人工智能工具 ...........................................................................................36
3.3.1 学术研究工具 ...............................................................................................36
3.3.2 自然科学领域的人工智能应用成果 .............................................................39
3.4 跨平台内容生成与管理工具 ....................................................................................42
3.4.1 社交媒体内容生成工具 ................................................................................42
3.4.2 社交媒体内容推荐工具 ................................................................................44
3.4.3 营销与推广工具 ............................................................................................45
113401-01 人工智能通识教程 二改.indd 4 2026/8/19 14:01:44 目录 V
3.5 案例分析：人工智能的伦理与社会影响 .................................................................46
设计实践 ...........................................................................................................................48
问题研讨 ...........................................................................................................................48
第 4 章 人工智能赋能办公与行政管理 .........................................................................49
微课视频 28 分钟
4.1 相关技术基础 ..........................................................................................................49
4.2 智能文档处理 ..........................................................................................................49
4.3 智能办公工具 ..........................................................................................................50
4.3.1 WPS AI 工具 .................................................................................................50
4.3.2 Kimi+AiPPT .................................................................................................52
4.4 人工智能会议管理 ...................................................................................................54
4.5 人工智能翻译与校对 ...............................................................................................57
设计实践 ...........................................................................................................................58
问题研讨 ...........................................................................................................................59
第 5 章 人工智能赋能学术研究 ...................................................................................60
微课视频 46 分钟
5.1 人工智能文献分析与知识图谱构建 ........................................................................60
5.2 人工智能论文阅读与摘要提炼 ................................................................................64
5.2.1 全文内容提问 ...............................................................................................65
5.2.2 特定内容的交互式精读 ................................................................................66
5.3 数据可视化与分析 ...................................................................................................68
5.4 科研协作与学术规范 ...............................................................................................74
设计实践 ...........................................................................................................................75
问题研讨 ...........................................................................................................................75
第 6 章 人工智能赋能教学革新 ...................................................................................76
微课视频 67 分钟
6.1 相关技术基础 ..........................................................................................................76
6.1.1 教育数据挖掘 ...............................................................................................76
6.1.2 学习分析 .......................................................................................................77
6.1.3 人工智能教育应用 ........................................................................................78
6.2 人工智能驱动的精准备课与学情分析 .....................................................................79
6.3 智能教案设计与动态优化 ........................................................................................82
6.3.1 智能教案设计与优化 ....................................................................................82
6.3.2 人工智能生成教学课件 ................................................................................86
6.4 教育领域知识图谱构建与课堂演示 ........................................................................90
6.4.1 教育领域知识图谱的构建 ............................................................................90
113401-01 人工智能通识教程 二改.indd 5 2026/8/19 14:01:44 VI 人工智能通识教程
6.4.2 知识图谱在课堂演示中的应用 .....................................................................92
6.5 学生能力图谱构建与教学效果分析 ........................................................................93
6.5.1 学生能力图谱构建 ........................................................................................93
6.5.2 基于能力图谱的教学效果分析 .....................................................................96
6.6 人工智能出题与作业批改 ........................................................................................96
6.7 人工智能助教 ..........................................................................................................99
6.8 案例分析：人工智能辅助个性化教学与评估 .......................................................100
设计实践 .........................................................................................................................102
问题研讨 .........................................................................................................................102
第 7 章 跨学科融合应用 ............................................................................................103
微课视频 62 分钟
7.1 理工科：模型预测与实验设计优化 ......................................................................103
7.2 文科：数字人文技术 .............................................................................................108
7.3 艺术类：角色 IP 设计与艺术伦理 ......................................................................... 111
7.4 医学：人工智能病理分析与诊断流程 ................................................................... 114
7.5 案例分析：人工智能在跨学科研究中的应用 ................................................................. 115
7.5.1 平台介绍：飞桨 .......................................................................................... 115
7.5.2 操作流程 ..................................................................................................... 115
7.5.3 结果解读与交互分析 .................................................................................. 119
问题研讨 .........................................................................................................................121
第 8 章 内容创作与新媒体运营 .................................................................................122
微课视频 44 分钟
8.1 相关技术基础 ........................................................................................................122
8.1.1 生成式人工智能模型 ..................................................................................122
8.1.2 生成对抗网络 .............................................................................................123
8.1.3 多模态学习 .................................................................................................123
8.2 账号运营方法与人工智能工具应用 ......................................................................125
8.3 人工智能跨模态内容生成 ......................................................................................131
8.3.1 跨模态内容生成技术概述 ..........................................................................132
8.3.2 剪映人工智能文案成片 ..............................................................................133
8.3.3 即梦 AI 视频生成与剪辑 ............................................................................138
8.4 多模态内容生成与伦理风险 ..................................................................................144
8.5 案例分析：人工智能生成社交媒体内容与视频剪辑 ...........................................145
8.5.1 典型应用场景与商业价值 ..........................................................................146
8.5.2 人工智能引发的成本重构 ..........................................................................146
8.5.3 风险规避与能力建设 ..................................................................................147
设计实践 .........................................................................................................................147
113401-01 人工智能通识教程 二改.indd 6 2026/8/19 14:01:44 目录 VII
问题研讨 .........................................................................................................................148
第 9 章 人工智能与商业创新 .....................................................................................150
微课视频 45 分钟
9.1 相关技术基础 ........................................................................................................150
9.2 营销策略优化与用户画像生成 ..............................................................................151
9.2.1 基于人工智能的营销策略优化 ...................................................................151
9.2.2 用户画像生成与营销策略优化 ...................................................................151
9.2.3 人工智能大模型在用户画像构建中的应用 ................................................152
9.3 直播业态变革与虚拟主播技术 ..............................................................................155
9.3.1 直播业态的结构性变革 ..............................................................................155
9.3.2 虚拟主播技术 .............................................................................................156
9.3.3 虚拟主播技术的应用示例 ..........................................................................156
9.4 案例分析：人工智能时代的创新创业 ...................................................................159
设计实践 .........................................................................................................................162
问题研讨 .........................................................................................................................162
第 10 章 人工智能技术伦理与法规 ............................................................................163
微课视频 41 分钟
10.1 数据隐私保护与匿名化技术 ................................................................................163
10.2 算法公平性验证与偏见修正 ................................................................................165
10.3 国内外人工智能法规与治理框架 ........................................................................166
10.4 案例分析：人工智能伦理问题的识别与应对 .....................................................167
设计实践 .........................................................................................................................168
问题研讨 .........................................................................................................................168
第 11 章 未来趋势 ....................................................................................................169
微课视频 51 分钟
11.1 通用人工智能：人工智能的终极目标 .................................................................169
11.1.1 什么是通用人工智能？ ............................................................................169
11.1.2 通用人工智能与现有人工智能的区别 ......................................................169
11.1.3 通用人工智能的历史愿景：从理论构想走向现实挑战 ...........................170
11.1.4 实现通用人工智能面临的挑战 .................................................................170
11.1.5 通用人工智能的社会冲击：我们真的准备好了吗？ ...............................171
11.2 技术融合：多模态交互与脑机接口 .....................................................................172
11.2.1 多模态交互：让人工智能“全能感知”世界 ..........................................172
11.2.2 脑机接口：思维直连的革命 .....................................................................173
11.2.3 脑机接口的发展与应用 ............................................................................174
11.3 AI+X：学科交叉融合与职业生态重构 ................................................................175
113401-01 人工智能通识教程 二改.indd 7 2026/8/19 14:01:44 VIII 人工智能通识教程
11.3.1 跨界融合：人工智能重塑传统学科 ..........................................................175
11.3.2 职业版图重构：消失、转变与新生 ..........................................................175
11.3.3 未来职场的核心能力模型 .........................................................................176
11.3.4 个人发展策略：构建核心职业竞争力 ......................................................177
11.4 技术前沿：具身智能与量子人工智能 .................................................................177
11.4.1 具身智能：让人工智能拥有“身体”与“感知” .....................................177
11.4.2 量子人工智能：计算范式的革命性突破 ..................................................181
11.4.3 未来展望：量子赋能的具身智能系统 ......................................................182
11.5 终身学习：个人知识库构建与自主学习策略 .....................................................182
11.5.1 终身学习的核心价值与挑战 .....................................................................182
11.5.2 个人人工智能知识库的构建方法 ............................................................182
11.5.3 应对人工智能发展的三大关键能力 ..........................................................183
设计实践 .........................................................................................................................184
问题研讨 .........................................................................................................................184
参考文献 ....................................................................................................................185
113401-01 人工智能通识教程 二改.indd 8 2026/8/19 14:01:44
