
十多年來(lái),美國(guó)猶他州的學(xué)生標(biāo)準(zhǔn)化考試數(shù)據(jù)呈現(xiàn)出一種趨勢(shì):該州四年級(jí)、八年級(jí)學(xué)生在國(guó)家教育進(jìn)展評(píng)估(National Assessment of Educational Progress)中的讀寫與數(shù)學(xué)成績(jī),在經(jīng)歷多年持續(xù)上升后,已經(jīng)出現(xiàn)持續(xù)且穩(wěn)定的下滑。
神經(jīng)科學(xué)家兼前教師賈里德·庫(kù)尼·霍瓦思發(fā)現(xiàn),這一數(shù)據(jù)的拐點(diǎn)與猶他州首次推行計(jì)算機(jī)自適應(yīng)測(cè)試——“學(xué)生成長(zhǎng)與卓越評(píng)估”(Student Assessment of Growth and Excellence)的時(shí)間完全吻合。
霍瓦思在接受《財(cái)富》雜志采訪時(shí)表示:“2014年之前,學(xué)校雖配備電腦,但僅作為輔助教學(xué)工具。2014年之后,所有學(xué)校必須配備數(shù)字化基礎(chǔ)設(shè)施,才能參加州評(píng)估。”
霍瓦思是2025年出版的《數(shù)字迷局:課堂技術(shù)如何損害孩子學(xué)習(xí)——以及如何幫助他們重獲佳績(jī)》(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(jī)下滑并非個(gè)例,而是全球?qū)W生考試成績(jī)下滑趨勢(shì)的縮影。這一趨勢(shì)與計(jì)算機(jī)和平板電腦在課堂中的普及同步發(fā)生。
今年年初,霍瓦思在美國(guó)參議院商務(wù)、科學(xué)與交通委員會(huì)(U.S. Senate Committee on Commerce, Science, and Transportation)作證時(shí)稱,科技帶來(lái)的影響不僅體現(xiàn)在考試成績(jī)上,還損害了考試本要衡量的認(rèn)知能力。他表示,這是現(xiàn)代歷史上首次出現(xiàn)年輕一代在標(biāo)準(zhǔn)化測(cè)試中的表現(xiàn)未能超越父輩的情況。換言之,Z世代成為首個(gè)認(rèn)知能力不及上一代的群體。
霍瓦思援引針對(duì)全球15歲學(xué)生開(kāi)展的國(guó)際學(xué)生評(píng)估項(xiàng)目(Program for International Student Assessment)數(shù)據(jù)指出,問(wèn)題不僅在于考試成績(jī)下滑,更在于成績(jī)下降與學(xué)生使用電腦時(shí)間存在關(guān)聯(lián)——電腦使用時(shí)間越長(zhǎng),成績(jī)?cè)讲睢?/p>
學(xué)校引入科技設(shè)備,本意是為學(xué)習(xí)提供助力,但霍瓦思說(shuō),這些設(shè)備最終反而對(duì)學(xué)習(xí)產(chǎn)生了負(fù)面影響。
霍瓦思將學(xué)生技能退化歸咎于教育科技(EdTech)。他指出,21世紀(jì)初及其后的十五年里,科技公司與倡導(dǎo)者大肆宣揚(yáng)誤導(dǎo)性敘事——“教育體系已經(jīng)崩潰,唯有計(jì)算機(jī)能夠修復(fù)”。但霍瓦思表示,該計(jì)劃適得其反。
“這場(chǎng)討論的核心絕非反對(duì)技術(shù)本身。”霍瓦思在證詞中稱,“關(guān)鍵在于讓教育工具與人類真實(shí)的學(xué)習(xí)方式相契合。現(xiàn)有證據(jù)表明,無(wú)差別地推進(jìn)數(shù)字化擴(kuò)張,非但沒(méi)有強(qiáng)化學(xué)習(xí)環(huán)境,反而弱化了學(xué)習(xí)環(huán)境。”
教育科技的興起
教育科技進(jìn)入美國(guó)校園始于2002年。當(dāng)年,緬因州成為美國(guó)首個(gè)在部分中小學(xué)推行全州配發(fā)筆記本電腦計(jì)劃的州。在計(jì)劃實(shí)施的第一年,“緬因州學(xué)習(xí)技術(shù)倡議”(Maine Learning Technology Initiative)便向243所學(xué)校的七年級(jí)學(xué)生發(fā)放1.7萬(wàn)臺(tái)蘋果(Apple)筆記本電腦。到2016年,緬因州已經(jīng)有6.6萬(wàn)名學(xué)生配備筆記本電腦和平板電腦。
截至2024年,美國(guó)已經(jīng)累計(jì)投入超過(guò)300億美元為教室配備電子屏幕,各學(xué)區(qū)通過(guò)折扣協(xié)議采購(gòu)技術(shù)設(shè)備。2003年佛羅里達(dá)州的撥款報(bào)告顯示,弗吉尼亞州亨利科縣簽訂了一份為期四年、價(jià)值3720萬(wàn)美元的租賃協(xié)議,為當(dāng)?shù)馗咧猩少?gòu)2.3萬(wàn)臺(tái)蘋果電腦。俄克拉荷馬城公立學(xué)校(Oklahoma City Public Schools)則與戴爾(Dell)簽訂了一份2500萬(wàn)美元的合同,采購(gòu)1萬(wàn)臺(tái)筆記本電腦及移動(dòng)充電推車。
霍瓦思表示,這些采購(gòu)協(xié)議幫助部分科技巨頭在產(chǎn)品發(fā)布遇冷后站穩(wěn)腳跟,尤其是谷歌(Google)。Chromebook筆記本電腦發(fā)布初期市場(chǎng)表現(xiàn)慘淡,這款搭載免費(fèi)谷歌應(yīng)用程序的低價(jià)電腦隨后成功打入校園市場(chǎng),到2017年,其出貨量已經(jīng)占到全美校園數(shù)字設(shè)備總量的一半以上。霍瓦思稱,谷歌向?qū)W校銷售這些筆記本電腦,旨在收回該產(chǎn)品的研發(fā)成本。谷歌未回應(yīng)《財(cái)富》雜志的置評(píng)請(qǐng)求。
霍瓦思表示,教育科技在課堂中的迅速普及與當(dāng)時(shí)興起的敘事密切相關(guān)——科技將重塑學(xué)習(xí)模式。傳統(tǒng)教育體系已經(jīng)陷入困境,而計(jì)算機(jī)可以根據(jù)學(xué)生不同的學(xué)習(xí)需求提供適應(yīng)性支持;學(xué)生只需輕點(diǎn),便能獲取知識(shí),進(jìn)而實(shí)現(xiàn)自主學(xué)習(xí)、自我賦能。
在霍瓦思看來(lái),在課堂中大力推行電子屏幕設(shè)備的做法,本質(zhì)上是在解決一個(gè)本就不存在的問(wèn)題。他說(shuō),本世紀(jì)初,美國(guó)不同種族、不同性別學(xué)生之間的成績(jī)差距正在持續(xù)縮小,整體考試成績(jī)也呈穩(wěn)步上升趨勢(shì)。
“當(dāng)時(shí)一切都在向好發(fā)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(méi)有任何合理依據(jù)。他們只是憑空編造了這套說(shuō)辭,試圖煽動(dòng)人們,讓人們覺(jué)得‘看來(lái)我們確實(shí)需要引入新工具了。’”
知識(shí)遷移問(wèn)題
深入梳理教育科技的發(fā)展史會(huì)發(fā)現(xiàn),對(duì)教學(xué)法的批判可以追溯至近百年前。
20世紀(jì)50年代,傳奇行為心理學(xué)家伯爾赫斯·弗雷德里克·斯金納基于俄亥俄州立大學(xué)(Ohio State University)的心理學(xué)教授西德尼·普雷西在1924年的發(fā)明,推出了自己設(shè)計(jì)的“教學(xué)機(jī)器”。這一設(shè)備內(nèi)置印有題目的紙張,學(xué)生按下正確答案對(duì)應(yīng)的按鍵后,下一道題便會(huì)出現(xiàn)。然而,普雷西和斯金納都面臨著相似的困境,未能將這項(xiàng)技術(shù)引入校園。教育工作者并不認(rèn)可這類機(jī)器的價(jià)值,因?yàn)樗鼜?qiáng)調(diào)個(gè)體化學(xué)習(xí)進(jìn)度,不利于同年齡段學(xué)生同步完成年級(jí)學(xué)業(yè)。
后來(lái),普雷西在寫給斯金納的信中坦言,這款設(shè)備存在重大教學(xué)缺陷:學(xué)生學(xué)會(huì)了如何操作機(jī)器通關(guān),卻沒(méi)有掌握學(xué)科知識(shí)本身。
“這些嘗試最終全部失敗的原因在于‘知識(shí)遷移問(wèn)題’。”霍瓦思說(shuō)道,“他們發(fā)現(xiàn),學(xué)生使用工具時(shí)表現(xiàn)優(yōu)異,一旦脫離工具,便無(wú)法獨(dú)立完成任務(wù)。”
教育科技的人工智能革命
無(wú)論時(shí)代如何變遷、科技如何迭代,最終的結(jié)局似乎都一樣。如今的教學(xué)機(jī)器已經(jīng)演變?yōu)槿斯ぶ悄埽逃ぷ髡咭苍俣刃纳鷳n慮:這項(xiàng)技術(shù)可能會(huì)讓學(xué)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(jià)。
皮尤研究中心(Pew Research Center)上周發(fā)布的調(diào)查顯示,超過(guò)半數(shù)美國(guó)青少年會(huì)使用人工智能完成課業(yè)。布魯金斯學(xué)會(huì)(Brookings Institute)今年1月發(fā)布的報(bào)告指出,學(xué)生正在濫用該技術(shù),將其用于作弊,而非真正用于學(xué)習(xí)。
“學(xué)生們不會(huì)推理,不會(huì)思考,也不會(huì)解決問(wèn)題。”一位接受該研究訪談的教師表示。
霍瓦思對(duì)此深表認(rèn)同。他說(shuō),真正高效的學(xué)習(xí),必然發(fā)生在存在認(rèn)知阻力的過(guò)程中,即學(xué)生需要直面難題并逐步攻克的過(guò)程中。他提出,人工智能只有在專業(yè)人士手中,才能發(fā)揮最大價(jià)值。掌握專業(yè)技能的人懂得如何運(yùn)用特定的人工智能工具,并且可以對(duì)其輸出的內(nèi)容進(jìn)行事實(shí)核查。但學(xué)生尚未掌握相關(guān)技能,只會(huì)利用人工智能走捷徑。
“專業(yè)人士用來(lái)簡(jiǎn)化工作、提升效率的工具,不該成為孩子學(xué)習(xí)如何成為專業(yè)人士的工具。”霍瓦思說(shuō),“當(dāng)新手或?qū)W生使用專家用來(lái)減負(fù)的工具時(shí),根本學(xué)不到真正的技能,只會(huì)形成依賴。”
隨著學(xué)校開(kāi)始為學(xué)生開(kāi)設(shè)人工智能素養(yǎng)課程,霍瓦思指出學(xué)習(xí)者能夠通過(guò)特定方式與新興技術(shù)建立平衡關(guān)系。他提出,教育科技倡導(dǎo)者混淆了“課程”與“教學(xué)法”的概念——課程指的是教學(xué)內(nèi)容,教學(xué)法則指?jìng)魇诜绞健=逃萍急緫?yīng)將計(jì)算機(jī)知識(shí)納入課程體系,教學(xué)生了解計(jì)算機(jī)本身,如今卻演變?yōu)橥ㄟ^(guò)計(jì)算機(jī)傳授學(xué)科知識(shí)——這種教學(xué)法已經(jīng)被證明效果不佳。
“若真想讓孩子掌握人工智能,就應(yīng)該持續(xù)傳授知識(shí)。教他們數(shù)學(xué)、讀寫、運(yùn)算,提供通識(shí)教育。”霍瓦思表示,“只有這樣,等他們長(zhǎng)大成為專業(yè)人士時(shí),才能賦予機(jī)器意義,用技術(shù)改善生活,而不是反過(guò)來(lái)依賴人工智能理解世界運(yùn)行的規(guī)律。”(財(cái)富中文網(wǎng))
譯者:中慧言-王芳
十多年來(lái),美國(guó)猶他州的學(xué)生標(biāo)準(zhǔn)化考試數(shù)據(jù)呈現(xiàn)出一種趨勢(shì):該州四年級(jí)、八年級(jí)學(xué)生在國(guó)家教育進(jìn)展評(píng)估(National Assessment of Educational Progress)中的讀寫與數(shù)學(xué)成績(jī),在經(jīng)歷多年持續(xù)上升后,已經(jīng)出現(xiàn)持續(xù)且穩(wěn)定的下滑。
神經(jīng)科學(xué)家兼前教師賈里德·庫(kù)尼·霍瓦思發(fā)現(xiàn),這一數(shù)據(jù)的拐點(diǎn)與猶他州首次推行計(jì)算機(jī)自適應(yīng)測(cè)試——“學(xué)生成長(zhǎng)與卓越評(píng)估”(Student Assessment of Growth and Excellence)的時(shí)間完全吻合。
霍瓦思在接受《財(cái)富》雜志采訪時(shí)表示:“2014年之前,學(xué)校雖配備電腦,但僅作為輔助教學(xué)工具。2014年之后,所有學(xué)校必須配備數(shù)字化基礎(chǔ)設(shè)施,才能參加州評(píng)估。”
霍瓦思是2025年出版的《數(shù)字迷局:課堂技術(shù)如何損害孩子學(xué)習(xí)——以及如何幫助他們重獲佳績(jī)》(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(jī)下滑并非個(gè)例,而是全球?qū)W生考試成績(jī)下滑趨勢(shì)的縮影。這一趨勢(shì)與計(jì)算機(jī)和平板電腦在課堂中的普及同步發(fā)生。
今年年初,霍瓦思在美國(guó)參議院商務(wù)、科學(xué)與交通委員會(huì)(U.S. Senate Committee on Commerce, Science, and Transportation)作證時(shí)稱,科技帶來(lái)的影響不僅體現(xiàn)在考試成績(jī)上,還損害了考試本要衡量的認(rèn)知能力。他表示,這是現(xiàn)代歷史上首次出現(xiàn)年輕一代在標(biāo)準(zhǔn)化測(cè)試中的表現(xiàn)未能超越父輩的情況。換言之,Z世代成為首個(gè)認(rèn)知能力不及上一代的群體。
霍瓦思援引針對(duì)全球15歲學(xué)生開(kāi)展的國(guó)際學(xué)生評(píng)估項(xiàng)目(Program for International Student Assessment)數(shù)據(jù)指出,問(wèn)題不僅在于考試成績(jī)下滑,更在于成績(jī)下降與學(xué)生使用電腦時(shí)間存在關(guān)聯(lián)——電腦使用時(shí)間越長(zhǎng),成績(jī)?cè)讲睢?/p>
學(xué)校引入科技設(shè)備,本意是為學(xué)習(xí)提供助力,但霍瓦思說(shuō),這些設(shè)備最終反而對(duì)學(xué)習(xí)產(chǎn)生了負(fù)面影響。
霍瓦思將學(xué)生技能退化歸咎于教育科技(EdTech)。他指出,21世紀(jì)初及其后的十五年里,科技公司與倡導(dǎo)者大肆宣揚(yáng)誤導(dǎo)性敘事——“教育體系已經(jīng)崩潰,唯有計(jì)算機(jī)能夠修復(fù)”。但霍瓦思表示,該計(jì)劃適得其反。
“這場(chǎng)討論的核心絕非反對(duì)技術(shù)本身。”霍瓦思在證詞中稱,“關(guān)鍵在于讓教育工具與人類真實(shí)的學(xué)習(xí)方式相契合。現(xiàn)有證據(jù)表明,無(wú)差別地推進(jìn)數(shù)字化擴(kuò)張,非但沒(méi)有強(qiáng)化學(xué)習(xí)環(huán)境,反而弱化了學(xué)習(xí)環(huán)境。”
教育科技的興起
教育科技進(jìn)入美國(guó)校園始于2002年。當(dāng)年,緬因州成為美國(guó)首個(gè)在部分中小學(xué)推行全州配發(fā)筆記本電腦計(jì)劃的州。在計(jì)劃實(shí)施的第一年,“緬因州學(xué)習(xí)技術(shù)倡議”(Maine Learning Technology Initiative)便向243所學(xué)校的七年級(jí)學(xué)生發(fā)放1.7萬(wàn)臺(tái)蘋果(Apple)筆記本電腦。到2016年,緬因州已經(jīng)有6.6萬(wàn)名學(xué)生配備筆記本電腦和平板電腦。
截至2024年,美國(guó)已經(jīng)累計(jì)投入超過(guò)300億美元為教室配備電子屏幕,各學(xué)區(qū)通過(guò)折扣協(xié)議采購(gòu)技術(shù)設(shè)備。2003年佛羅里達(dá)州的撥款報(bào)告顯示,弗吉尼亞州亨利科縣簽訂了一份為期四年、價(jià)值3720萬(wàn)美元的租賃協(xié)議,為當(dāng)?shù)馗咧猩少?gòu)2.3萬(wàn)臺(tái)蘋果電腦。俄克拉荷馬城公立學(xué)校(Oklahoma City Public Schools)則與戴爾(Dell)簽訂了一份2500萬(wàn)美元的合同,采購(gòu)1萬(wàn)臺(tái)筆記本電腦及移動(dòng)充電推車。
霍瓦思表示,這些采購(gòu)協(xié)議幫助部分科技巨頭在產(chǎn)品發(fā)布遇冷后站穩(wěn)腳跟,尤其是谷歌(Google)。Chromebook筆記本電腦發(fā)布初期市場(chǎng)表現(xiàn)慘淡,這款搭載免費(fèi)谷歌應(yīng)用程序的低價(jià)電腦隨后成功打入校園市場(chǎng),到2017年,其出貨量已經(jīng)占到全美校園數(shù)字設(shè)備總量的一半以上。霍瓦思稱,谷歌向?qū)W校銷售這些筆記本電腦,旨在收回該產(chǎn)品的研發(fā)成本。谷歌未回應(yīng)《財(cái)富》雜志的置評(píng)請(qǐng)求。
霍瓦思表示,教育科技在課堂中的迅速普及與當(dāng)時(shí)興起的敘事密切相關(guān)——科技將重塑學(xué)習(xí)模式。傳統(tǒng)教育體系已經(jīng)陷入困境,而計(jì)算機(jī)可以根據(jù)學(xué)生不同的學(xué)習(xí)需求提供適應(yīng)性支持;學(xué)生只需輕點(diǎn),便能獲取知識(shí),進(jìn)而實(shí)現(xiàn)自主學(xué)習(xí)、自我賦能。
在霍瓦思看來(lái),在課堂中大力推行電子屏幕設(shè)備的做法,本質(zhì)上是在解決一個(gè)本就不存在的問(wèn)題。他說(shuō),本世紀(jì)初,美國(guó)不同種族、不同性別學(xué)生之間的成績(jī)差距正在持續(xù)縮小,整體考試成績(jī)也呈穩(wěn)步上升趨勢(shì)。
“當(dāng)時(shí)一切都在向好發(fā)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(méi)有任何合理依據(jù)。他們只是憑空編造了這套說(shuō)辭,試圖煽動(dòng)人們,讓人們覺(jué)得‘看來(lái)我們確實(shí)需要引入新工具了。’”
知識(shí)遷移問(wèn)題
深入梳理教育科技的發(fā)展史會(huì)發(fā)現(xiàn),對(duì)教學(xué)法的批判可以追溯至近百年前。
20世紀(jì)50年代,傳奇行為心理學(xué)家伯爾赫斯·弗雷德里克·斯金納基于俄亥俄州立大學(xué)(Ohio State University)的心理學(xué)教授西德尼·普雷西在1924年的發(fā)明,推出了自己設(shè)計(jì)的“教學(xué)機(jī)器”。這一設(shè)備內(nèi)置印有題目的紙張,學(xué)生按下正確答案對(duì)應(yīng)的按鍵后,下一道題便會(huì)出現(xiàn)。然而,普雷西和斯金納都面臨著相似的困境,未能將這項(xiàng)技術(shù)引入校園。教育工作者并不認(rèn)可這類機(jī)器的價(jià)值,因?yàn)樗鼜?qiáng)調(diào)個(gè)體化學(xué)習(xí)進(jìn)度,不利于同年齡段學(xué)生同步完成年級(jí)學(xué)業(yè)。
后來(lái),普雷西在寫給斯金納的信中坦言,這款設(shè)備存在重大教學(xué)缺陷:學(xué)生學(xué)會(huì)了如何操作機(jī)器通關(guān),卻沒(méi)有掌握學(xué)科知識(shí)本身。
“這些嘗試最終全部失敗的原因在于‘知識(shí)遷移問(wèn)題’。”霍瓦思說(shuō)道,“他們發(fā)現(xiàn),學(xué)生使用工具時(shí)表現(xiàn)優(yōu)異,一旦脫離工具,便無(wú)法獨(dú)立完成任務(wù)。”
教育科技的人工智能革命
無(wú)論時(shí)代如何變遷、科技如何迭代,最終的結(jié)局似乎都一樣。如今的教學(xué)機(jī)器已經(jīng)演變?yōu)槿斯ぶ悄埽逃ぷ髡咭苍俣刃纳鷳n慮:這項(xiàng)技術(shù)可能會(huì)讓學(xué)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(jià)。
皮尤研究中心(Pew Research Center)上周發(fā)布的調(diào)查顯示,超過(guò)半數(shù)美國(guó)青少年會(huì)使用人工智能完成課業(yè)。布魯金斯學(xué)會(huì)(Brookings Institute)今年1月發(fā)布的報(bào)告指出,學(xué)生正在濫用該技術(shù),將其用于作弊,而非真正用于學(xué)習(xí)。
“學(xué)生們不會(huì)推理,不會(huì)思考,也不會(huì)解決問(wèn)題。”一位接受該研究訪談的教師表示。
霍瓦思對(duì)此深表認(rèn)同。他說(shuō),真正高效的學(xué)習(xí),必然發(fā)生在存在認(rèn)知阻力的過(guò)程中,即學(xué)生需要直面難題并逐步攻克的過(guò)程中。他提出,人工智能只有在專業(yè)人士手中,才能發(fā)揮最大價(jià)值。掌握專業(yè)技能的人懂得如何運(yùn)用特定的人工智能工具,并且可以對(duì)其輸出的內(nèi)容進(jìn)行事實(shí)核查。但學(xué)生尚未掌握相關(guān)技能,只會(huì)利用人工智能走捷徑。
“專業(yè)人士用來(lái)簡(jiǎn)化工作、提升效率的工具,不該成為孩子學(xué)習(xí)如何成為專業(yè)人士的工具。”霍瓦思說(shuō),“當(dāng)新手或?qū)W生使用專家用來(lái)減負(fù)的工具時(shí),根本學(xué)不到真正的技能,只會(huì)形成依賴。”
隨著學(xué)校開(kāi)始為學(xué)生開(kāi)設(shè)人工智能素養(yǎng)課程,霍瓦思指出學(xué)習(xí)者能夠通過(guò)特定方式與新興技術(shù)建立平衡關(guān)系。他提出,教育科技倡導(dǎo)者混淆了“課程”與“教學(xué)法”的概念——課程指的是教學(xué)內(nèi)容,教學(xué)法則指?jìng)魇诜绞健=逃萍急緫?yīng)將計(jì)算機(jī)知識(shí)納入課程體系,教學(xué)生了解計(jì)算機(jī)本身,如今卻演變?yōu)橥ㄟ^(guò)計(jì)算機(jī)傳授學(xué)科知識(shí)——這種教學(xué)法已經(jīng)被證明效果不佳。
“若真想讓孩子掌握人工智能,就應(yīng)該持續(xù)傳授知識(shí)。教他們數(shù)學(xué)、讀寫、運(yùn)算,提供通識(shí)教育。”霍瓦思表示,“只有這樣,等他們長(zhǎng)大成為專業(yè)人士時(shí),才能賦予機(jī)器意義,用技術(shù)改善生活,而不是反過(guò)來(lái)依賴人工智能理解世界運(yùn)行的規(guī)律。”(財(cái)富中文網(wǎng))
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.”