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          科技設備廣泛應用,美國學生讀寫與數學成績卻在急劇下滑

          Sasha Rogelberg
          2026-03-05

          學校引入科技設備,本意是為學習提供助力,但這些設備最終反而對學習產生了負面影響。

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          本世紀初以來,美國已經投入300億美元為學校配備筆記本電腦和平板電腦。圖片來源:Gordon Chibroski/Portland Press Herald—Getty Images

          十多年來,美國猶他州的學生標準化考試數據呈現出一種趨勢:該州四年級、八年級學生在國家教育進展評估(National Assessment of Educational Progress)中的讀寫與數學成績,在經歷多年持續上升后,已經出現持續且穩定的下滑。

          神經科學家兼前教師賈里德·庫尼·霍瓦思發現,這一數據的拐點與猶他州首次推行計算機自適應測試——“學生成長與卓越評估”(Student Assessment of Growth and Excellence)的時間完全吻合。

          霍瓦思在接受《財富》雜志采訪時表示:“2014年之前,學校雖配備電腦,但僅作為輔助教學工具。2014年之后,所有學校必須配備數字化基礎設施,才能參加州評估。”

          霍瓦思是2025年出版的《數字迷局:課堂技術如何損害孩子學習——以及如何幫助他們重獲佳績》(The Digital Delusion: How Classroom Technology Harms Our Kids’ Learning—And How To Help Them Thrive Again)一書的作者。他指出,猶他州的成績下滑并非個例,而是全球學生考試成績下滑趨勢的縮影。這一趨勢與計算機和平板電腦在課堂中的普及同步發生。

          今年年初,霍瓦思在美國參議院商務、科學與交通委員會(U.S. Senate Committee on Commerce, Science, and Transportation)作證時稱,科技帶來的影響不僅體現在考試成績上,還損害了考試本要衡量的認知能力。他表示,這是現代歷史上首次出現年輕一代在標準化測試中的表現未能超越父輩的情況。換言之,Z世代成為首個認知能力不及上一代的群體。

          霍瓦思援引針對全球15歲學生開展的國際學生評估項目(Program for International Student Assessment)數據指出,問題不僅在于考試成績下滑,更在于成績下降與學生使用電腦時間存在關聯——電腦使用時間越長,成績越差。

          學校引入科技設備,本意是為學習提供助力,但霍瓦思說,這些設備最終反而對學習產生了負面影響。

          霍瓦思將學生技能退化歸咎于教育科技(EdTech)。他指出,21世紀初及其后的十五年里,科技公司與倡導者大肆宣揚誤導性敘事——“教育體系已經崩潰,唯有計算機能夠修復”。但霍瓦思表示,該計劃適得其反。

          “這場討論的核心絕非反對技術本身。”霍瓦思在證詞中稱,“關鍵在于讓教育工具與人類真實的學習方式相契合。現有證據表明,無差別地推進數字化擴張,非但沒有強化學習環境,反而弱化了學習環境。”

          教育科技的興起

          教育科技進入美國校園始于2002年。當年,緬因州成為美國首個在部分中小學推行全州配發筆記本電腦計劃的州。在計劃實施的第一年,“緬因州學習技術倡議”(Maine Learning Technology Initiative)便向243所學校的七年級學生發放1.7萬臺蘋果(Apple)筆記本電腦。到2016年,緬因州已經有6.6萬名學生配備筆記本電腦和平板電腦。

          截至2024年,美國已經累計投入超過300億美元為教室配備電子屏幕,各學區通過折扣協議采購技術設備。2003年佛羅里達州的撥款報告顯示,弗吉尼亞州亨利科縣簽訂了一份為期四年、價值3720萬美元的租賃協議,為當地高中生采購2.3萬臺蘋果電腦。俄克拉荷馬城公立學校(Oklahoma City Public Schools)則與戴爾(Dell)簽訂了一份2500萬美元的合同,采購1萬臺筆記本電腦及移動充電推車。

          霍瓦思表示,這些采購協議幫助部分科技巨頭在產品發布遇冷后站穩腳跟,尤其是谷歌(Google)。Chromebook筆記本電腦發布初期市場表現慘淡,這款搭載免費谷歌應用程序的低價電腦隨后成功打入校園市場,到2017年,其出貨量已經占到全美校園數字設備總量的一半以上。霍瓦思稱,谷歌向學校銷售這些筆記本電腦,旨在收回該產品的研發成本。谷歌未回應《財富》雜志的置評請求。

          霍瓦思表示,教育科技在課堂中的迅速普及與當時興起的敘事密切相關——科技將重塑學習模式。傳統教育體系已經陷入困境,而計算機可以根據學生不同的學習需求提供適應性支持;學生只需輕點,便能獲取知識,進而實現自主學習、自我賦能。

          在霍瓦思看來,在課堂中大力推行電子屏幕設備的做法,本質上是在解決一個本就不存在的問題。他說,本世紀初,美國不同種族、不同性別學生之間的成績差距正在持續縮小,整體考試成績也呈穩步上升趨勢。

          “當時一切都在向好發展。”霍瓦思表示,“那么他們憑什么宣稱教育體系已然崩潰?根本沒有任何合理依據。他們只是憑空編造了這套說辭,試圖煽動人們,讓人們覺得‘看來我們確實需要引入新工具了。’”

          知識遷移問題

          深入梳理教育科技的發展史會發現,對教學法的批判可以追溯至近百年前。

          20世紀50年代,傳奇行為心理學家伯爾赫斯·弗雷德里克·斯金納基于俄亥俄州立大學(Ohio State University)的心理學教授西德尼·普雷西在1924年的發明,推出了自己設計的“教學機器”。這一設備內置印有題目的紙張,學生按下正確答案對應的按鍵后,下一道題便會出現。然而,普雷西和斯金納都面臨著相似的困境,未能將這項技術引入校園。教育工作者并不認可這類機器的價值,因為它強調個體化學習進度,不利于同年齡段學生同步完成年級學業。

          后來,普雷西在寫給斯金納的信中坦言,這款設備存在重大教學缺陷:學生學會了如何操作機器通關,卻沒有掌握學科知識本身。

          “這些嘗試最終全部失敗的原因在于‘知識遷移問題’。”霍瓦思說道,“他們發現,學生使用工具時表現優異,一旦脫離工具,便無法獨立完成任務。”

          教育科技的人工智能革命

          無論時代如何變遷、科技如何迭代,最終的結局似乎都一樣。如今的教學機器已經演變為人工智能,而教育工作者也再度心生憂慮:這項技術可能會讓學生只專注于如何使用智能工具,卻以犧牲自身的批判性思維與綜合分析能力為代價。

          皮尤研究中心(Pew Research Center)上周發布的調查顯示,超過半數美國青少年會使用人工智能完成課業。布魯金斯學會(Brookings Institute)今年1月發布的報告指出,學生正在濫用該技術,將其用于作弊,而非真正用于學習。

          “學生們不會推理,不會思考,也不會解決問題。”一位接受該研究訪談的教師表示。

          霍瓦思對此深表認同。他說,真正高效的學習,必然發生在存在認知阻力的過程中,即學生需要直面難題并逐步攻克的過程中。他提出,人工智能只有在專業人士手中,才能發揮最大價值。掌握專業技能的人懂得如何運用特定的人工智能工具,并且可以對其輸出的內容進行事實核查。但學生尚未掌握相關技能,只會利用人工智能走捷徑。

          “專業人士用來簡化工作、提升效率的工具,不該成為孩子學習如何成為專業人士的工具。”霍瓦思說,“當新手或學生使用專家用來減負的工具時,根本學不到真正的技能,只會形成依賴。”

          隨著學校開始為學生開設人工智能素養課程,霍瓦思指出學習者能夠通過特定方式與新興技術建立平衡關系。他提出,教育科技倡導者混淆了“課程”與“教學法”的概念——課程指的是教學內容,教學法則指傳授方式。教育科技本應將計算機知識納入課程體系,教學生了解計算機本身,如今卻演變為通過計算機傳授學科知識——這種教學法已經被證明效果不佳。

          “若真想讓孩子掌握人工智能,就應該持續傳授知識。教他們數學、讀寫、運算,提供通識教育。”霍瓦思表示,“只有這樣,等他們長大成為專業人士時,才能賦予機器意義,用技術改善生活,而不是反過來依賴人工智能理解世界運行的規律。”(財富中文網)

          譯者:中慧言-王芳

          十多年來,美國猶他州的學生標準化考試數據呈現出一種趨勢:該州四年級、八年級學生在國家教育進展評估(National Assessment of Educational Progress)中的讀寫與數學成績,在經歷多年持續上升后,已經出現持續且穩定的下滑。

          神經科學家兼前教師賈里德·庫尼·霍瓦思發現,這一數據的拐點與猶他州首次推行計算機自適應測試——“學生成長與卓越評估”(Student Assessment of Growth and Excellence)的時間完全吻合。

          霍瓦思在接受《財富》雜志采訪時表示:“2014年之前,學校雖配備電腦,但僅作為輔助教學工具。2014年之后,所有學校必須配備數字化基礎設施,才能參加州評估。”

          霍瓦思是2025年出版的《數字迷局:課堂技術如何損害孩子學習——以及如何幫助他們重獲佳績》(The Digital Delusion: How Classroom Technology Harms Our Kids’ Learning—And How To Help Them Thrive Again)一書的作者。他指出,猶他州的成績下滑并非個例,而是全球學生考試成績下滑趨勢的縮影。這一趨勢與計算機和平板電腦在課堂中的普及同步發生。

          今年年初,霍瓦思在美國參議院商務、科學與交通委員會(U.S. Senate Committee on Commerce, Science, and Transportation)作證時稱,科技帶來的影響不僅體現在考試成績上,還損害了考試本要衡量的認知能力。他表示,這是現代歷史上首次出現年輕一代在標準化測試中的表現未能超越父輩的情況。換言之,Z世代成為首個認知能力不及上一代的群體。

          霍瓦思援引針對全球15歲學生開展的國際學生評估項目(Program for International Student Assessment)數據指出,問題不僅在于考試成績下滑,更在于成績下降與學生使用電腦時間存在關聯——電腦使用時間越長,成績越差。

          學校引入科技設備,本意是為學習提供助力,但霍瓦思說,這些設備最終反而對學習產生了負面影響。

          霍瓦思將學生技能退化歸咎于教育科技(EdTech)。他指出,21世紀初及其后的十五年里,科技公司與倡導者大肆宣揚誤導性敘事——“教育體系已經崩潰,唯有計算機能夠修復”。但霍瓦思表示,該計劃適得其反。

          “這場討論的核心絕非反對技術本身。”霍瓦思在證詞中稱,“關鍵在于讓教育工具與人類真實的學習方式相契合。現有證據表明,無差別地推進數字化擴張,非但沒有強化學習環境,反而弱化了學習環境。”

          教育科技的興起

          教育科技進入美國校園始于2002年。當年,緬因州成為美國首個在部分中小學推行全州配發筆記本電腦計劃的州。在計劃實施的第一年,“緬因州學習技術倡議”(Maine Learning Technology Initiative)便向243所學校的七年級學生發放1.7萬臺蘋果(Apple)筆記本電腦。到2016年,緬因州已經有6.6萬名學生配備筆記本電腦和平板電腦。

          截至2024年,美國已經累計投入超過300億美元為教室配備電子屏幕,各學區通過折扣協議采購技術設備。2003年佛羅里達州的撥款報告顯示,弗吉尼亞州亨利科縣簽訂了一份為期四年、價值3720萬美元的租賃協議,為當地高中生采購2.3萬臺蘋果電腦。俄克拉荷馬城公立學校(Oklahoma City Public Schools)則與戴爾(Dell)簽訂了一份2500萬美元的合同,采購1萬臺筆記本電腦及移動充電推車。

          霍瓦思表示,這些采購協議幫助部分科技巨頭在產品發布遇冷后站穩腳跟,尤其是谷歌(Google)。Chromebook筆記本電腦發布初期市場表現慘淡,這款搭載免費谷歌應用程序的低價電腦隨后成功打入校園市場,到2017年,其出貨量已經占到全美校園數字設備總量的一半以上。霍瓦思稱,谷歌向學校銷售這些筆記本電腦,旨在收回該產品的研發成本。谷歌未回應《財富》雜志的置評請求。

          霍瓦思表示,教育科技在課堂中的迅速普及與當時興起的敘事密切相關——科技將重塑學習模式。傳統教育體系已經陷入困境,而計算機可以根據學生不同的學習需求提供適應性支持;學生只需輕點,便能獲取知識,進而實現自主學習、自我賦能。

          在霍瓦思看來,在課堂中大力推行電子屏幕設備的做法,本質上是在解決一個本就不存在的問題。他說,本世紀初,美國不同種族、不同性別學生之間的成績差距正在持續縮小,整體考試成績也呈穩步上升趨勢。

          “當時一切都在向好發展。”霍瓦思表示,“那么他們憑什么宣稱教育體系已然崩潰?根本沒有任何合理依據。他們只是憑空編造了這套說辭,試圖煽動人們,讓人們覺得‘看來我們確實需要引入新工具了。’”

          知識遷移問題

          深入梳理教育科技的發展史會發現,對教學法的批判可以追溯至近百年前。

          20世紀50年代,傳奇行為心理學家伯爾赫斯·弗雷德里克·斯金納基于俄亥俄州立大學(Ohio State University)的心理學教授西德尼·普雷西在1924年的發明,推出了自己設計的“教學機器”。這一設備內置印有題目的紙張,學生按下正確答案對應的按鍵后,下一道題便會出現。然而,普雷西和斯金納都面臨著相似的困境,未能將這項技術引入校園。教育工作者并不認可這類機器的價值,因為它強調個體化學習進度,不利于同年齡段學生同步完成年級學業。

          后來,普雷西在寫給斯金納的信中坦言,這款設備存在重大教學缺陷:學生學會了如何操作機器通關,卻沒有掌握學科知識本身。

          “這些嘗試最終全部失敗的原因在于‘知識遷移問題’。”霍瓦思說道,“他們發現,學生使用工具時表現優異,一旦脫離工具,便無法獨立完成任務。”

          教育科技的人工智能革命

          無論時代如何變遷、科技如何迭代,最終的結局似乎都一樣。如今的教學機器已經演變為人工智能,而教育工作者也再度心生憂慮:這項技術可能會讓學生只專注于如何使用智能工具,卻以犧牲自身的批判性思維與綜合分析能力為代價。

          皮尤研究中心(Pew Research Center)上周發布的調查顯示,超過半數美國青少年會使用人工智能完成課業。布魯金斯學會(Brookings Institute)今年1月發布的報告指出,學生正在濫用該技術,將其用于作弊,而非真正用于學習。

          “學生們不會推理,不會思考,也不會解決問題。”一位接受該研究訪談的教師表示。

          霍瓦思對此深表認同。他說,真正高效的學習,必然發生在存在認知阻力的過程中,即學生需要直面難題并逐步攻克的過程中。他提出,人工智能只有在專業人士手中,才能發揮最大價值。掌握專業技能的人懂得如何運用特定的人工智能工具,并且可以對其輸出的內容進行事實核查。但學生尚未掌握相關技能,只會利用人工智能走捷徑。

          “專業人士用來簡化工作、提升效率的工具,不該成為孩子學習如何成為專業人士的工具。”霍瓦思說,“當新手或學生使用專家用來減負的工具時,根本學不到真正的技能,只會形成依賴。”

          隨著學校開始為學生開設人工智能素養課程,霍瓦思指出學習者能夠通過特定方式與新興技術建立平衡關系。他提出,教育科技倡導者混淆了“課程”與“教學法”的概念——課程指的是教學內容,教學法則指傳授方式。教育科技本應將計算機知識納入課程體系,教學生了解計算機本身,如今卻演變為通過計算機傳授學科知識——這種教學法已經被證明效果不佳。

          “若真想讓孩子掌握人工智能,就應該持續傳授知識。教他們數學、讀寫、運算,提供通識教育。”霍瓦思表示,“只有這樣,等他們長大成為專業人士時,才能賦予機器意義,用技術改善生活,而不是反過來依賴人工智能理解世界運行的規律。”(財富中文網)

          譯者:中慧言-王芳

          For more than a decade, a trend has emerged in standardized testing data for students in Utah. After years of increasing reading and math scores, results from the state’s National Assessment of Educational Progress testing for 4th and 8th graders have shown a steady and continuing downturn.

          Neuroscientist and former teacher Jared Cooney Horvath noticed the inflection point of this data coincided with the implementation of Student Assessment of Growth and Excellence (SAGE), the state’s first computer-adaptive test.

          “Before 2014, computers were in schools, they were just peripheral,” Horvath told Fortune. “After 2014, every school had to have digital infrastructure in order to take the state assessment.”

          According to Horvath, author of the 2025 book “The Digital Delusion: How Classroom Technology Harms Our Kids’ Learning—And How To Help Them Thrive Again,” Utah’s test score data isn’t a fluke; it’s part of a global trend of plummeting test scores that have coincided with the rise of easy access to computers and tablets in the classroom.

          Earlier this year, Horvath testified before the U.S. Senate Committee on Commerce, Science, and Transportation, arguing the technology’s impact on more than just test scores, but on the cognitive capabilities they are intended to measure. He said that for the first time in modern history, today’s generation has failed to outperform their parents on standardized assessments. In other words, Gen Z is the first generation to be less cognitively capable than their predecessors.

          Citing data from the Program for International Student Assessment taken from 15-year-olds around the world, Horvath revealed it’s not just a dip in test scores, but also a correlation between these slumping scores and how much time students spend on computers, such that more time in front of screens was associated with worse scores.

          Technology was put in schools in a bid to help them learn. Instead, Horvath said, they had an adverse impact on learning.

          Horvath blames educational technology (EdTech) for these atrophying skillsets, arguing that at the turn of the 21th century and through its first decade and a half, tech companies and advocates pushed a false narrative that the education system was broken, but computers could fix it. Instead, Horvath said, the plan backfired.

          “This is not a debate about rejecting technology,” Horvath said in his testimony. “It is a question of aligning educational tools with how human learning actually works. Evidence indicates that indiscriminate digital expansion has weakened learning environments rather than strengthened them.”

          The rise of EdTech

          EdTech found its roots in U.S. schools in 2002, when Maine became the first state to implement a statewide laptop program in some elementary and middle schools. In its first year, the Maine Learning Technology Initiative distributed 17,000 Apple laptops to seventh graders across 243 schools. By 2016, 66,000 Maine students had laptops and tablets.

          By 2024, the U.S. had spent more than $30 billion putting screens in classrooms, with school districts making deals to buy tech at a discounted rate. A Florida state appropriations report from 2003 noted a four-year, $37.2 million lease from Henrico County, Virginia, for 23,000 Apple computers for high school students. Oklahoma City Public Schools minted a $25 million contract with Dell for 10,000 laptops and wireless carts.

          According to Horvath, these deals helped some tech giants find footing after shaky product launches, in particular Google. After the shaky rollout of its Chromebook, the low-cost computers with free Google apps found their way into schools and by 2017, accounted for more than half of digital devices sent to schools. Horvath claimed Google sold these laptops to schools to help it recoup costs on the product. Google did not respond to Fortune’s request for comment.

          The snowballing of EdTech in classrooms was associated with an emerging narrative on how tech impacts learning, Horvath said. Education was broken, and computers could provide adaptability to students’ differing learning needs and with knowledge at their fingertips, students could be empowered to learn all by themselves.

          To Horvath, these pushes toward screens in classrooms was an attempt to solve a problem that did not exist. At the turn of the century, achievement gaps across race and gender were closing and test scores were rising, he said.

          “Everything was looking good,” Horvath said. “So by what argument were they saying education was broken? There was no argument. They were just making it up to try and get people fomented to say, ‘I guess we need a new tool in there.’”

          The transfer problem

          A close look at the history of EdTech reveals criticisms of the pedagogy that go back nearly 100 years.

          In the 1950s, legendary behaviorist B.F. Skinner debuted his version of a “teaching machine,” based on the 1924 invention of Ohio State University psychology professor Sidney Pressey. The contraption was loaded with a piece of paper with questions, and students pressed keys indicating the correct answer, at which point, another question would appear. Both Pressley and Skinner ran into similar problems, though, failing to implement the technology in schools. Educators weren’t convinced of the machine’s benefit, which prioritized individually paced learning not conducive to students of the same age moving through a grade level at the same time.

          Later, in a letter to Skinner, Pressey would concede there was a massive pedagogical limitation to the device: Students learned how to master the machine, but not the subject matter.

          “The reason they all quit was the transfer problem,” Horvath said. “They found that kids would be very good so long as they were using the tool, but as soon as they went off the tool, they couldn’t do it anymore.”

          EdTech’s AI revolution

          The results seem to follow, no matter what decade the technology is found in. Today’s teaching machines have taken the form of AI, and educators are once again concerned the technology will encourage students to master the use of bots at the expense of their own critical thinking and synthesis skills.

          A Pew Research Center survey published this week found more than half of U.S. teens use AI for their schoolwork. A Brookings Institute report from January suggested students were abusing the technology, using it to cheat as opposed to really learning.

          “Students can’t reason. They can’t think. They can’t solve problems,” said one teacher interviewed for the study.

          Horvath was inclined to agree. He said the best learning happens where there is friction, or when a student needs to grapple with a problem and work through it. AI is most effective when experts use it, he argued. Someone with mastery of a skill knows how to deploy a certain AI tool and then fact check its output. A student, however, doesn’t have mastery and looks to AI only for shortcuts.

          “The tools experts use to make their lives easier are not the tools children should use to learn how to become experts,” Horvath said. “When you use offloading tools that experts use to make their lives easier as a novice, as a student. You don’t learn the skill. You simply learn dependency.”

          As schools begin to introduce AI literacy courses for their students, Horvath said there are ways for learners to develop a balanced relationship with the emerging technology. EdTech advocates have confused curriculum with pedagogy, he suggested. While curriculum refers to what is taught, pedagogy is how that material is taught. Instead of teaching students about computers—where technology would be in the curriculum—EdTech has become about teaching a subject matter through computers, a pedagogy that has shown it’s not effective.

          “If you really want kids to be good at AI, continue to teach them stuff. Teach them math, teach them literacy, teach them numeracy, give them a general education,” Horvath said. “So when they’re older and experts, they can bring meaning to that machine and now use it to make their lives easier, as opposed to trying to help them figure out how the world works.”

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