Umkhakha we-technology yenzelwe ngokushesha, nge-focus olwandle ekwenzeni izixhobo zokufundisa izifundo ze-neurodiverse. Kodwa-ke, isixazululo esiyinhlanganisela esiyinhlanganisa phakathi kwamakhemikhali asebenzayo emkhakheni we-engineering kanye nezidingo eziningana nezifundo ze-students e-classroom. I-Shafaq Bajwa, isayensi we-data kanye nomkhakha we-software, uye wahlanganyela le ngempumelelo ngemuva kokufunda i-Techno-Stars, isiteshi se-educational, futhi manje isebenza ekhukhwini njenge-Learning Support Assistant ku-Moorcroft School eLondon. Ngaphandle kokuphakama kwe-software ku-Dubai Islamic Bank kuya ku-MSc ku-Data Science, uhambo we-Bajwa kusuka ku-building technology kuya ku-implementation ku-special needs classroom inikeza ukubuyekeza okuphakeme. Ukuphakama kwayo kubonisa ukuthi ama-values eziyinhloko ze-tech industry-scalability, ukusebenza, kanye ne-data-driven independence - angakwazi ukuhlangabezana nezinsizakalo zokucwaninga okuphakeme, okuvimbela ubuningi, ukuxhumana, kanye nokufuna okuphakeme kwe-context yabantu. Umthombo we-Independence Umphumela wokufunda ubuchwepheshe kuyinto yokukhuthaza ukunakekelwa kwamakhasimende. Nokho, lokhu ukucindezeleka kwama-akhawunti ye-individual kungabangela ukuhlangabezana ne-reality ye-learning ye-collaborative for many neurodiverse students, for whom progress is often built on supported interaction and trust, a core principle of learning. . I-Neurodiversity Paradigm U-Bajwa wahlola lokhu ngqo emkhakheni yayo. "Ukuhlinzeki we-tech, imikhiqizo ikakhulukazi kusiza ukwenza abasebenzisi ngokugcwele, kodwa lokhu akusebenza ngokuqondile kubafundi we-neurodiverse. Ku-Moorcroft, ngifunde ukuthi ukufundisa kwangempela kunokwenzeka ngokusebenzisa ukunakekelwa, ukunakekelwa, nokuxhumana. " I-assumption that independence is the ultimate goal overlookes the power of connection. I-Frameworks like Ukukhishwa kwe-multiple pathways ye-engagement, okungenani kuhlanganise ukweseka okwakhiwa kunoma ukweseka. Umklamo we-Universal Design for Learning (UDL) Ukuze abaninzi abacwaningi, ukuthuthukiswa okwenziwe ngempumelelo oluthile. I-Bajwa ibonisa, "I-Progress iyatholakala emkhakheni oluthile nokuxhumana, akuyona nokuhlukaniswa. I-authenticity yokuthuthukiswa ngokusebenzisa ukuxhuma nokuxhumana, akuyona ngokushintshwa." Lezi zibonelelo zihlanganisa ukuthi i-EdTech kufanele isebenza kancane njenge-substitute ye-interaction yabantu futhi kakhulu njenge-facilitator yayo, ukukhuthaza izinhlelo zokuthuthukiswa nokuthuthukiswa. Ukuphakama kwe-scalability Umklamo wokuthuthukiswa kwe-Venture-backed technology, okuvumela i-Bajwa ye-start-up e-Plan 9 incubator, inikeza ukukhula okusheshayo nokuphumelela. Le ndlela ikakhulukazi ikakhulukazi ikakhulukazi ikakhulukazi ekuphumelela ne-patient, i-resource-intensive, ne-high-personal needs ye-neurodiverse abacwaningi. Nakuba umkhakha wokuthuthukiswa okuphumelela kwandisa ku-impact. , ingcindezi yokuthumela okusheshayo kubaluleke amandla enhle. US $ 715 billion "I-Venture-backed technology models isekelwe ekuthuthukiseni okusheshayo nokuphumelela, okwenza ukufinyelela emakethe amakhulu ngokushesha kanye nokubonisa imiphumela okusheshayo. Kodwa-ke, ukusebenza nomfundi we-neurodiverse ibonise ukuthi imiphumela enhle inikeza indlela engapheliyo: isikhathi, ubumnandi, futhi ukucubungula okuhlobene," Bajwa uthi. Lokhu kwenza ukucindezeleka, njengoba ukufundiswa okuhlobene inikeza ukuxhumana nokuphumelela, i-philosophy ebonakalayo ku-concept ye-Bajwa . I-philanthropic “i-patient-capital” Izici kuyinto ukuhlangabezana nezidingo ze-market ne-human-centric design. "Iziqu ze-learners akukwazi ukuhlangabezana noma ukujabulela, futhi ukujabulela ku-milestones eyodwa, akukwazi ukujabulela amakhasimende. Lokhu kwenza ukucindezeleka: imikhiqizo eyenziwe ku-scalable ibonise ukusebenza, kanti ukufundisa okuhlobisa kufuneka empathy kanye nokuvumelana," uBajwa ibonise. Lokhu kuhlobisa ukuguqulwa okwengeziwe ku-strategies ezifana: , okuyinto ukunikezela ukuhlanganiswa ekubeni izinzuzo zebhizinisi. Ukuvikelwa kwe-Investing Imininingwane ye-Context I-Data Science ibonakalisa ukucaciswa kwe-"What" ibhizinisi, kodwa ngokuvamile ibonakalisa i-"Why". Kwi-classroom environment, lokhu ukucaciswa kungabangela iziphumo ezingenalutho mayelana nokuhambisana nezifundo ze-students ngaphandle kwe-context esiyingqayizivele esithathwe ngu-observation yabantu. Lezi zixazululo zihlanganisa ku-mixed-method approaches ezifana: , okuyinto iveza idatha quantitative nge izibuyekezo izinga. “Big-thick Blending” I-Bajwa ibonisa isinyathelo lapho idatha kuphela ingathanda. "Nge-classroom eyodwa, idatha ye-student ingathanda ukujabulela ngokushesha, ukugcina izivakashi ezingenalutho futhi ukunceda ukuxhumana kwezingane, okuyinto ingathunyelwa kalula njenge-focus noma i-motivation. Kodwa lapho ngabantu, ngaziwa izici ezincinane. Ayikho ukujabulela; kuyinto ukujabulela kwezingane, "ngathi. Le nkonzo ibonise ukunambitheka kwegama ku-data interpretation, i-theme esiyinhloko ku-Human-Computer Interaction (HCI) research, okuyinto isetshenziswa ngokushesha Ukubuyekezwa kokusebenza kwamakhasimende. izindlela mixed Ngokuphathelene ne-environment, ukuxhumana kwandisa kakhulu. I-Bajwa ibonisa, "Idatha kuphela akuyona le khasi; ukufinyelela kwangaphakathi kwandisa ukuthi i-"why" emzimbeni kanye nesisindo, futhi akuyona emzimbeni. Lolu hlelo lashukumisa ukuthi idatha kuyimfuneko ukuxhumana kanye nokuhlolwa ukuze ibonisa inkolo ephelele. " Re-defining imiphumela enhle Ukusebenza kwe-Software ku-"sprints" ezilinganiselwe eminyakeni, isakhiwo se-agile enikezela ukuhlaziywa okusheshayo kanye nezimiphumela ezingenalutho. Lesi sishaye isikhathi esihlukile kusuka ku-tempo yokusebenza womuntu, lapho ukuhlaziywa okuphambili kungabangela imizuzu ezingenalutho, ukucindezeleka. Lezi zincazelo zihlanganisa isizukulwane esiyinhlanganisela esiyinhlanganisela ehlabathini le-tech nge-immediate gratification. "Umyalelo lwezenzululwazi lashintsha ngokugcwele indlela ekubuyiselwa ukuthuthukiswa. Kuthuthukiswa kwe-software, ukuthuthukiswa kwe-software ikakhulukazi kusetshenziswe ngokushesha lokuthumela kanye neziphumela ezibonakalayo ngaphakathi kwe-sprints ezincinane," uBajwa ibonisa. Ukuphakama kwe-student kungabangela imizuzu ye-silent effort, inqubo enikezwa ngcono nge-metrics njenge- , okuyinto ukubuyekeza izinga lokuthuthukiswa kweminyaka elide. I-Social Return on Investment (i-SROI) Ukulungiselela okuhlakaniphile ku-perspective ivumela ukucindezeleka. "Ukufundisa ukuthi ukucindezeleka okwenziwe ngempumelelo akufanele ngokushesha noma kulinganiswa, futhi ukuthi ukucindezeleka, ukucindezeleka, kanye nokuthembeka kunezinto efana ne-speed," uBajwa uthi. Kuyinto isifundo ekuthuthukiseni ukucindezeleka ngokushesha, okuhlobene, inqubo enobuningi izixhobo ezizayo ekuthuthukiseni. phezu isikhathi. Productive ukuzinza Ukusebenza kwe-Invisible User Experience I-developer encoding i-application ibonise isitimela se-user logical, kodwa e-classroom, isitimela se-filtered nge-layer epholile ye-emotions, moods, kanye ne-contextual challenges. Lezi zimpendulo ze-emotional zithunyelwe ngokuvamile ngesikhathi sokuthuthukiswa kwe-development process, kodwa iyiphi na ingxenye enhle kakhulu ye-user experience. Lezi zihlanganisa i-value of methodologies that prioritize lived experience. "I-part enhle kakhulu okuyinto engabonakali kubekwe kubekwe kubekwe yi-emotional kanye ne-contextual layer yokusebenzisa. Xa usebenzisa i-coding, uzothola imizila enhle, enhle yokusebenzisa, kodwa ngokwenene, wonke umfundi inikeza izimo ezizodwa, izidingo, futhi izinzuzo ezivela imizuzu embalwa," uBajwa wathi. Lokhu kuhlobene nezinsizakalo ezivela ku-Bajwa. , okuyinto usebenzisa izibuyekezo ezithakazelisayo ukuhlola izibuyekezo ku-design, futhi isekelwe uphando ku- . I-Feminist HCI I-Universally Accessible Instructional Models Ukulungiswa okuhlobisa usability yeBajwa. "Ngithanda ukuthi ukujabulela, ukujabulela, noma ukujabulela kwezingane angakwazi ukucubungula ngokugcwele indlela zokuxhumana ne-technology. Kuboniswa ukuthi usability akuyona kuphela ku-interfaces emhlophe noma ukusebenza okuhlobene; kuhlobisa ukhuseleko emzimbeni, ukujabulela, kanye nokuxhumana kwezingane, "ngokufunda. Ukuze ufunde ngokwenene ukujabulela kwe-user experience, abadlali kufanele ukuxhumana nezimo ezijulile ze-human ukuthi zihlobene. I-Value of Productive Struggle Ngo-engineering, inqubo ye-"ukungasebenzi" noma i-point of friction iyiphi okweqile. Ukukhishwa kwe-tech industry ukuze izivakashi zokusebenza okuzenzakalelayo, okuzenzakalelayo kubasebenzisi ibonise lokhu ethos. Nokho, ekufundeni, imizuzu yokufunda kunezinto lapho ukuxhumana okuhlobene nokuthembeka kubhalwe. Ngokukhipha zonke izinzuzo, ubuchwepheshe ikhiqiza abasebenzisi abalandeli kunezinto abalandeli. "Ukuhlinzeka kwebhizinisi le-tech ngokuvamile izindlela zokuhamba kwamakhasimende okuhlobene, ukunciphisa ukujabulela ukuze abasebenzisi akuyona akuyona. Kodwa ekufundeni, izinsuku ezinzima zihlanganisa lapho ukujabulela okwenziwe ngokwenene," Bajwa ibonisa. Isisindo esiyingqayizivele ekufundeni kwe-AI-driven kuyinto ukuthi abafundi ziye zihlanganisa. Uma izinhlelo zihlanganisa ngokukhawuleza kakhulu, zihlanganisa ukuba zihlanganise ekuthuthukiseni. “Ukufundisa impotence” Kwi-classroom, i-Bajwa ibonise ukuthi izinzuzo ezijoliswe zihlanganisa ukunakekelwa, isiko esithathwe ngokuvamile ngokuhambisana ne-intelligent tutoring systems. . "Ukuhlukaniswa kwe-Tech ku-success enhle kungase ngempumelelo ukwehlisa lezi zokusebenza zokukhula. Ukuze ngokwenene ukunakekela ukufundisa, sincoma izixhobo zokwenza indawo yokudlala, ukucindezeleka, nokuvuselela, futhi akuyona kuphela imiphumela emzimbeni. Lokhu kubalulekile ukucindezeleka ngokuvumelana, futhi akuyona kuphela ukusebenza. “Ukuhlukaniswa okungapheliyo” Izinzuzo ze-Digital Sensors Umlando we-programmer iyatholakala nge-screen, kodwa isixazululo se-special is a rich, multi-sensory environment. I-data points enhle kakhulu ziquka ama-non-digital signs – a shift in tone, a tensioning of muscles, a change in breathing – that current technology can’t fully capture. Nakuba ukuhlola izimo zokusebenza ngokufanele, izifundo zihlanganisa ngokushesha, izifundo zihlanganisa izihlanganisa ne-neurodivergent, isixazululo esikhulu esihlanganiswe izibuyekezo ze-neurodivergent . Ukuhlolwa kwe-cognitive load "I-ingredient ebangeni kakhulu ebangeni kuyinto i-sensory ne-emotional context. Ku-Moorcroft, ngitholela izinto engaphandle kwe-sensor noma i-algorithm angakwazi ukujabulela ngokugcwele: ukuguqulwa kwe-tone ye-voice, ukucindezeleka kwe-body, noma indlela yokusebenza kwe-respiration ye-student lapho zihlukile noma zihlukile," uBajwa ibonise. Izinkqubo ezivela ezisebenzisa ukuhlangabezana nezinhlelo zofisiolojikhi, kodwa zihlala ngezinyathelo ezincinane. I-Bayesian Immediate Feedback Learning (i-BIFL) I-sensory layer iyimfuneko yokwenza izixhobo ezinhle kakhulu zokuxhumana. "Lezi zincazelo zibonisa kakhulu kunazo ku-data dashboard. Zibonisa indawo emzimbeni emzimbeni emzimbeni, hhayi kuphela umsebenzi ngokuvamile," uBajwa uthi. I-future ye-adaptive technology inesibophelele ekugqibeleni zokusebenza kwezinhlobonhlobo zabantu, hhayi ukuguqulwa kwe-empathy, kodwa ukunikezela isakhiwo esebenzayo. Ngaphandle kwe-Engineering Mindset I-engineering mindset yakhelwe ukulungiselela, ukucubungula, nokuphumelela ukusebenza. Nakuba enhle kakhulu emkhakheni eziningi, le ndlela ingathintela nezinto ezingenalutho, ezingenalutho, nezinto ezingenalutho ezingenalutho zokufundisa abantu. Isikhathi sokucindezeleka noma ukuhlola, esithathwe njenge-algorithm njenge-inefficient, ingatholakala njenge-part of a student's cognitive process. I-Bajwa ibonise umdlalo we-sequencing lapho umqondo wayo waya ukunciphisa izinyathelo ezingenalutho. "I-engineering instinct yami kuyinto ukunciphisa isixhumanisi nokuphucula inqubo yokusebenza. Kodwa ngesikhathi esithile, umfundi waya isikhathi yokufundisa, ukwenza imiphumela, futhi usebenza ngamunye isinyathelo ngesivinini yayo. Ukuxhaswa noma ukucindezeleka umsebenzi uyavimbela imihlangano enhle yokufunda, "ngacabanga. "Ukufundisa ukuthi umqondo wokusebenza we-engineering we-efficiency kanye ne-predictability inesibopho: Ukufundwa kwe-human is a messy, non-linear, and deeply personal," Bajwa ibonise. "Ukuphumelela akuyona ngokuqondile ku-optimization; izikhathi kuncike ku-patience, ukufinyelela, kanye nokuhlobisa i-leader's rhythm." Le ngcebiso ibonise inkinga lokuphumelela kwe-EdTech, okuhlobisa ukucindezeleka kwezobuchwepheshe nge-empathy enhle yabantu. Ukuhamba kweBajwa kusuka ku-tech founder kuya ku-a-classroom assistant ibonise umbhalo oluphambili kwebhizinisi we-EdTech. Ukwakhiwa kwezixhobo ezinamandla kakhulu kubantu abalandeli be-neurodiverse kubalulekile ukufinyelela ngaphezu kwama-metric ye-speed kanye ne-scale. Kubalulekile isakhiwo esitsha esisekelwe ku-patience, ukubuyekezwa okuqondile, futhi ukunakekelwa okuhlobene kwama-complex, izindlela ezihlobene ezijwayelekile zokufundisa abantu.

This story contains new, firsthand information uncovered by the writer.

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Lo msindo ukhiqizwa ngolimi lokuqala lwendaba!

Yintoni i-EdTech ibonakale abafundi abesifazane ne-Neurodiverse futhi kanjani i-Shafaq Bajwa inikeza ukuguqulwa

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