
? 當下,圍繞生成式人工智能在校園里該扮演何種角色的爭論正日趨激烈。紐約大學一位副教務長建議,高校應恢復部分可追溯至中世紀的教育模式,即在課堂上側重口頭講授與考試。提出這一建議的背景是,越來越多學生依賴聊天機器人完成作業。
教育工作者始終圍繞學生該如何使用人工智能,或是否應使用人工智能這一問題爭論不休,但紐約大學一位官員卻提議回歸傳統教學模式——極為傳統的教學模式。
紐約大學人工智能與技術教育副教務長克萊·舍基(Clay Shirky)近日在《紐約時報》專欄文章中表示,他此前曾倡導更“積極主動”的人工智能使用方式,即學生運用技術探索想法并尋求反饋,而非“懶惰式人工智能使用”。
但這并未奏效,因為學生們仍繼續利用人工智能撰寫論文,逃避閱讀任務。此外,他補充道,旨在檢測人工智能作弊的工具誤報率過高,可靠性存疑。
“既然與寫作相關的大部分腦力勞動已變得可替代,我們需要探尋新方法來要求學生完成必要的學習任務,”舍基解釋道,“這意味著要摒棄課后作業與論文寫作,轉而要求學生在課堂上用藍皮答題卷完成論文、進行口試、強制學生參加答疑,以及其他能夠實時考查學生知識掌握程度的考核形式。”
這種轉變標志著回歸更古老的教育模式——其歷史可追溯至歐洲中世紀時期。彼時書籍稀缺,大學教育側重口頭傳授而非書面作業。
舍基表示,在中世紀,學生通常聽教師朗讀書籍,部分學校甚至禁止學生記錄所聞。歐洲教育體系對“書面作業”的重視,是在數百年后才形成的;而這一模式傳入美國學校,已到了19世紀晚期。
“哪些作業需以書面形式完成、哪些采用口頭形式,多年來一直在變化,”他補充道,“如今又迎來了轉變:這次是從學生課后獨立完成原創書面作業,轉向學生與教授之間、或者至少是學生與助教之間更具互動性的形式。”
這可能意味著教室將禁止使用電子設備,因為部分學生曾利用人工智能聊天機器人回答課堂提問。
舍基承認,這種模式對后勤而言面臨實際操作層面的挑戰:例如部分課程有數百名學生;此外,強調課堂表現可能會讓部分學生更占優勢。
“限時測評可能更適合思維敏捷的學生,而非擅長深度思考的學生,”舍基指出,“所謂‘中世紀式方案',實際上是對人工智能突然興起做出的回應,旨在確保學生真正完成作業,而非只是敷衍應付。”
毋庸置疑,使用人工智能的并非只有學生,教授們也在使用這一技術。部分教授借助人工智能制定課程大綱,還有教授利用人工智能批改論文。在某些情形下,這意味著人工智能在批改由人工智能生成的作業。
教育工作者使用人工智能也引發了學生的強烈反對。東北大學(Northeastern University)一名大四學生在發現教授暗中使用人工智能工具生成講義后,甚至正式提出投訴并要求退還學費。
與此同時,學生接收到的關于人工智能使用的信息也相互矛盾:他們一方面被告知在學校使用人工智能屬于作弊行為,另一方面卻又聽聞若不掌握人工智能的使用技能,將會對未來的就業前景產生不利影響。此外,部分學校至今未出臺人工智能使用規范。
“無論未來局勢如何演變,學生們都深知人工智能會始終存在——即便這讓他們感到不安,”專注于Z世代群體的咨詢公司Up and Up Strategies的創始人蕾切爾·詹法扎(Rachel Janfaza)在《華盛頓郵報》的文章中寫道。
“他們并非尋求‘一刀切’式解決方案,也并非在密謀如何‘以最少付出敷衍了事’。他們真正需要的,是成年人展現成熟擔當——而不是讓首批人工智能原生代學生獨自應對這場技術變革。”(財富中文網)
譯者:中慧言-王芳
? 當下,圍繞生成式人工智能在校園里該扮演何種角色的爭論正日趨激烈。紐約大學一位副教務長建議,高校應恢復部分可追溯至中世紀的教育模式,即在課堂上側重口頭講授與考試。提出這一建議的背景是,越來越多學生依賴聊天機器人完成作業。
教育工作者始終圍繞學生該如何使用人工智能,或是否應使用人工智能這一問題爭論不休,但紐約大學一位官員卻提議回歸傳統教學模式——極為傳統的教學模式。
紐約大學人工智能與技術教育副教務長克萊·舍基(Clay Shirky)近日在《紐約時報》專欄文章中表示,他此前曾倡導更“積極主動”的人工智能使用方式,即學生運用技術探索想法并尋求反饋,而非“懶惰式人工智能使用”。
但這并未奏效,因為學生們仍繼續利用人工智能撰寫論文,逃避閱讀任務。此外,他補充道,旨在檢測人工智能作弊的工具誤報率過高,可靠性存疑。
“既然與寫作相關的大部分腦力勞動已變得可替代,我們需要探尋新方法來要求學生完成必要的學習任務,”舍基解釋道,“這意味著要摒棄課后作業與論文寫作,轉而要求學生在課堂上用藍皮答題卷完成論文、進行口試、強制學生參加答疑,以及其他能夠實時考查學生知識掌握程度的考核形式。”
這種轉變標志著回歸更古老的教育模式——其歷史可追溯至歐洲中世紀時期。彼時書籍稀缺,大學教育側重口頭傳授而非書面作業。
舍基表示,在中世紀,學生通常聽教師朗讀書籍,部分學校甚至禁止學生記錄所聞。歐洲教育體系對“書面作業”的重視,是在數百年后才形成的;而這一模式傳入美國學校,已到了19世紀晚期。
“哪些作業需以書面形式完成、哪些采用口頭形式,多年來一直在變化,”他補充道,“如今又迎來了轉變:這次是從學生課后獨立完成原創書面作業,轉向學生與教授之間、或者至少是學生與助教之間更具互動性的形式。”
這可能意味著教室將禁止使用電子設備,因為部分學生曾利用人工智能聊天機器人回答課堂提問。
舍基承認,這種模式對后勤而言面臨實際操作層面的挑戰:例如部分課程有數百名學生;此外,強調課堂表現可能會讓部分學生更占優勢。
“限時測評可能更適合思維敏捷的學生,而非擅長深度思考的學生,”舍基指出,“所謂‘中世紀式方案',實際上是對人工智能突然興起做出的回應,旨在確保學生真正完成作業,而非只是敷衍應付。”
毋庸置疑,使用人工智能的并非只有學生,教授們也在使用這一技術。部分教授借助人工智能制定課程大綱,還有教授利用人工智能批改論文。在某些情形下,這意味著人工智能在批改由人工智能生成的作業。
教育工作者使用人工智能也引發了學生的強烈反對。東北大學(Northeastern University)一名大四學生在發現教授暗中使用人工智能工具生成講義后,甚至正式提出投訴并要求退還學費。
與此同時,學生接收到的關于人工智能使用的信息也相互矛盾:他們一方面被告知在學校使用人工智能屬于作弊行為,另一方面卻又聽聞若不掌握人工智能的使用技能,將會對未來的就業前景產生不利影響。此外,部分學校至今未出臺人工智能使用規范。
“無論未來局勢如何演變,學生們都深知人工智能會始終存在——即便這讓他們感到不安,”專注于Z世代群體的咨詢公司Up and Up Strategies的創始人蕾切爾·詹法扎(Rachel Janfaza)在《華盛頓郵報》的文章中寫道。
“他們并非尋求‘一刀切’式解決方案,也并非在密謀如何‘以最少付出敷衍了事’。他們真正需要的,是成年人展現成熟擔當——而不是讓首批人工智能原生代學生獨自應對這場技術變革。”(財富中文網)
譯者:中慧言-王芳
? Amid the raging debate over the proper role of generative AI in schools, a vice provost at New York University suggested colleges revive some educational practices that date back to medieval times, namely focusing on oral instruction and examination in the classroom. That comes as students have increasingly relied on chatbots to complete assignments.
Educators have been struggling over how students should or should not use artificial intelligence, but one New York University official suggests going old school—really, really old school.
In a New York Times op-ed on Tuesday, NYU’s vice provost for AI and technology in education, Clay Shirky, said he previously had counseled more “engaged uses” of AI where students use the technology to explore ideas and seek feedback, rather than “lazy AI use.”
But that didn’t work, as students continued using AI to write papers and skip the reading. Meanwhile, tools meant to detect AI cheating produce too many false positives to be reliable, he added.
“Now that most mental effort tied to writing is optional, we need new ways to require the work necessary for learning,” Shirky explained. “That means moving away from take-home assignments and essays and toward in-class blue book essays, oral examinations, required office hours and other assessments that call on students to demonstrate knowledge in real time.”
Such a shift would mark a return to much older practices that date back to Europe’s medieval era, when books were scarce and a university education focused on oral instruction instead of written assignments.
In medieval times, students often listened to teachers read from books, and some schools even discouraged students from writing down what they heard, Shirky said. The emphasis on writing came hundreds of years later in Europe and reached U.S. schools in the late 19th century.
“Which assignments are written and which are oral has shifted over the years,” he added. “It is shifting again, this time away from original student writing done outside class and toward something more interactive between student and professor or at least student and teaching assistant.”
That may entail device-free classrooms as some students have used AI chatbots to answer questions when called on during class.
He acknowledged logistical challenges given that some classes have hundreds of students. In addition, an emphasis on in-class performance favors some students more than others.
“Timed assessment may benefit students who are good at thinking quickly, not students who are good at thinking deeply,” Shirky said. “What we might call the medieval options are reactions to the sudden appearance of AI, an attempt to insist on students doing work, not just pantomiming it.”
To be sure, professors are also using AI, not just students. While some use it to help develop a course syllabus, others are using it to help grade essays. In some cases, that means AI is grading an AI-generated assignment.
AI use by educators has also generated backlash among students. A senior at Northeastern University even filed a formal complaint and demanded a tuition refund after discovering her professor was secretly using AI tools to generate lecture notes.
Meanwhile, students are also getting mixed messages, hearing that the use of AI in school counts as cheating but also that not being able to use AI will hurt their job prospects. At the same time, some schools have no guidelines on AI.
“Whatever happens next, students know AI is here to stay, even if that scares them,” Rachel Janfaza, founder of Gen Z-focused consulting firm Up and Up Strategies, wrote in the Washington Post on Thursday.
“They’re not asking for a one-size-fits-all approach, and they’re not all conspiring to figure out the bare minimum of work they can get away with. What they need is for adults to act like adults — and not leave it to the first wave of AI-native students to work out a technological revolution all by themselves.”