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Military Academy Classrooms Explore New Paths, Making Artificial Intelligence a True "Teaching Partner"

军校课堂探索新路,让人工智能真正成为“教学搭档”
PLA Daily (解放军报) 7 August 2026
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An unnamed instructor at an unidentified PLA military academy describes the reform of the 'Fundamentals of Artificial Intelligence' course—designated a national first-class course and described as the military's first 精品课程 in AI—including a January 2025 Generative AI Works Innovation Competition, a fall 2025 smart-course pilot covering 266 knowledge points and 138 instructional videos, and outreach via 军职在线 that has reached over 100,000 military enrollees. The article documents how PLA professional military education is reorienting AI instruction away from rote theory toward human-machine collaboration and 智能作战 applications, with explicit framing around producing 新型军事人才 capable of leading rather than blindly following AI tools. The source is a first-person instructor account in official military media, so it records institutional messaging about PME reform priorities rather than confirming curriculum adoption across the force.

An artificial intelligence class ended, but the students were reluctant to leave. Some were debugging algorithm visualization models, some were running simulations of unmanned system scenarios, and others had gathered together to showcase creative works generated by large models.

Having taught for many years, I have witnessed firsthand the evolution of this course. In the past, the "Fundamentals of Artificial Intelligence" course was abstract in content and abstruse in its algorithms, with instruction focused primarily on knowledge memorization and theoretical understanding. Today, unmanned combat is iterating rapidly, and what the force urgently needs are new-type military personnel (新型军事人才) who understand intelligence, can think critically, excel at innovation, and are capable of collaboration. I often ask myself: in the wave of intelligentization (智能化浪潮), what kinds of capabilities should military academy classrooms cultivate? The answer lies in round after round of pedagogical reform and course refinement.

In recent years, my course team and I have explored a new path: using AI to learn AI, using AI to create AI, and making artificial intelligence a genuine "teaching partner" in the classroom.

We broke out of the traditional exam-oriented teaching mindset and focused on cultivating students' dialectical thinking ability, their capacity to analyze complex problems, and their human-machine collaboration ability. Leveraging intelligent teaching tools, students no longer passively receive knowledge but instead actively explore, practice independently, and verify findings through mutual assistance. In January of this year, drawing on the course's practical assignment system, we successfully held the school's first Generative AI Works Innovation Competition, from which a cohort of creative, valuable, and substantive works emerged.

Student Sun Yaohan's work, "A Physical Oceanography Knowledge Interactive Platform Based on Generative AI," won the grand prize. After the competition, he candidly noted that AI had demonstrated powerful content generation and code-processing capabilities during the project, "but the more than 2,000 lines of core code were interlocked link by link—pull one thread and the whole thing moves. To make good use of AI, the first thing is not to rely on it blindly."

"We must precisely filter interactive instructions, rigorously control the logic of creation, and use human thinking to lead AI and command AI." Sun Yaohan's reflection is exactly the outcome our pedagogical reform sought to achieve: teaching students to make good use of intelligent tools, elevate their thinking capabilities, and innovate grounded in actual combat.

With the cultivation of personnel as our foundation, we have driven the classroom through a three-step progressive upgrade toward digitalization, intelligentization, and personalization. In the fall semester of 2025, the college took the lead across the entire school in launching a pilot smart course (智慧课程) in artificial intelligence, building a comprehensive digital teaching resource matrix that includes 266 core knowledge points, 138 instructional videos, and 86 classic cases, supplemented by an algorithm visualization toolkit, a self-testing system of one thousand questions, and an around-the-clock AI tutoring agent—allowing learning to transcend the limits of time and space and precisely address each individual's weaknesses.

The "Fundamentals of Artificial Intelligence" course is a national-level first-class course and the first high-quality artificial intelligence course (精品课程) in the entire military. The course team has worked deeply in frontier areas, bringing real-combat cases such as swarm coordination (集群协同) and intelligent gaming (智能博弈) into the classroom, and integrating the concept of "people-centered, upward and toward the good (以人为本、向上向善)" throughout the entire process of personnel cultivation.

As the classroom has shifted from "acquiring knowledge" to "training thinking and strengthening capabilities," students' enthusiasm for innovation has continued to surge. In recent years, science and technology innovation projects and graduation thesis topics in the artificial intelligence track at our school have increased substantially, and multiple students have won prizes at competitions such as the China Robot and Artificial Intelligence Competition.

Our team has also traveled on multiple occasions to plateau border defense posts and front-line units to conduct special lectures and popularize knowledge of intelligent warfare (智能作战). Through platforms such as "Military Post Online" (军职在线), six online courses have been opened to the entire military, with course enrollments exceeding one hundred thousand. This year, we successfully passed the school's second-phase acceptance review for core artificial intelligence course teams and were rated excellent.

Working deeply at the front line of teaching, I have come to recognize more and more clearly: artificial intelligence education teaches cutting-edge technology and cultivates personnel capable of winning; it reforms the classroom model and strengthens the confidence to build a strong military (强军底气). As a military academy instructor, I will persist in the orientation of educating personnel for war (为战育人), teaching with intelligence, empowering with creativity, and leading with combat, and contribute to the building of our military's new-quality combat capabilities (新质战斗力).

Original Chinese
一堂人工智能课结束,学员们迟迟不肯散去。有人在调试算法可视化模型,有人在推演无人系统仿真场景,还有人围在一起展示基于大模型生成的创意成果。 从教多年,我亲历这门课程的演进。过去,“人工智能基础”课内容抽象、算法晦涩,教学多以知识记忆、理论理解为主。当下,无人作战快速迭代,部队急需的是懂智能、会思辨、善创新、能协作的新型军事人才。我时常反问自己:智能化浪潮下,军校课堂应该培养什么样的能力?答案,藏在一次次教学改革、一轮轮课程打磨中。 近年来,我和课程团队探索出一条新路:用AI学AI、用AI创AI,让人工智能真正成为课堂的“教学搭档”。 我们跳出传统应试教学思维,聚焦学员辩证思维能力、复杂问题研判能力、人机协作能力的培养。依托智能教学工具,学员不再被动接受知识,而是主动探索、自主实践、互助验证。今年1月,我们依托课程实践作业体系,成功举办学校首届生成式AI作品创新大赛,一批有创意、有价值、有内涵的作品脱颖而出。 学员孙耀涵的作品《基于生成式AI的物理海洋学知识交互平台》获得特等奖。他赛后坦言,项目创作中AI展现出强大的内容生成、代码处理能力,“但2000余行核心代码环环相扣、牵一发而动全身,想要用好AI,首先不能盲目依赖AI。” “我们必须精准筛选交互指令,严谨把控创作逻辑,靠人的思维主导AI、驾驭AI。”孙耀涵的感悟,正是我们教学改革想看到的成效:教会学员善用智能工具、提升思维能力、立足实战创新。 立足育人,我们推动课堂实现数字化、智能化、个性化三步进阶升级。2025年秋季学期,学院在全校率先开启人工智能智慧课程试点,搭建起体系完备的数字化教学资源矩阵,包含266个核心知识点、138个教学视频、86个经典案例,配套算法可视化百宝箱、千题自测系统、全天候AI答疑智能体,让学习突破时空限制、精准补齐个人短板。 “人工智能基础”课是国家级一流课程,也是全军首门人工智能精品课程。课程团队深耕前沿领域,把集群协同、智能博弈等实战案例搬进课堂,将“以人为本、向上向善”的理念融入育人全过程。 课堂从“学知识”转向“练思维、强能力”,学员创新热情持续迸发。近年来,我校人工智能方向的科创项目、毕业设计选题大幅提升,多人在中国机器人及人工智能大赛等赛事中斩获佳绩。 我们团队还多次奔赴高原边防、一线部队开展专题授课,普及智能作战知识。依托“军职在线”等平台,6门在线课程面向全军开放,选课人数突破十万次。今年,我们顺利通过学校第二期人工智能核心课程团队验收,获评优秀。 深耕教学一线,我愈发认识到:人工智能教学,教的是前沿技术,育的是打赢人才;改的是课堂模式,强的是强军底气。作为一名军校教员,我将坚持为战育人导向,以智施教、以创赋能、以战领教,为我军新质战斗力建设贡献力量。