Mashi 29, 2020

Indima Yokufunda Komshini Ku-eLearning

Abafundi emhlabeni wonke bangalawulwa kahle kakhulu ubuchwepheshe bemishini yokufunda (ML). Abasebenzi namuhla bafuna izinga eliphakeme lezinsizakusebenza ze-eLearning, eziguquguqukayo futhi ezisebenzisanayo. Iyahola ISEXWAYISO abahlinzeki benza ngezifiso ukufunda, ukuqagela izidingo zokufunda, futhi banikeze ngokuzenzakalela okuqukethwe okuhambisanayo futhi okufika ngesikhathi kubafundi babo besebenzisa uhlelo lokubonwa kwephethini. Ake sihlole kabanzi ngokuthi ubuchwepheshe be-ML bulakha kanjani ikusasa le-eLearning.

I-ML Ingabona Amaphethini Wokusebenza Kwabafundi

Ama-algorithm we-ML angasetshenziswa ukulandelela ukusebenza kwabafundi okubhaliswe ku-LMS ngokuya ngokuthi kungakhiwa kuphi isikhathi sokufunda esizayo kanye nezihloko zabo. Ngale ndlela, izidingo zangempela zokufunda zingahlangatshezwa. Leyo ndlela iwusizo ezimeni ezinjengokuthi, ngokwesibonelo, abafundi abangama-30 abanamakhono ahlukene nesipiliyoni ababhalisele izifundo. I-ML LMS iletha okuqukethwe okwenziwe ngokwezifiso ngokwalaba bafundi ngabodwana ngokuguqula izifundo ngokuvumelana namakhono ahlukahlukene abafundi. Ngakho-ke, ngokwenza ukulungisa okuthile kokuqukethwe okufundwayo, abafundi abanolwazi oluningi bangathuthuka ngokushesha, futhi abafundi abanolwazi oluncane bathola ithuba elingcono lokusebenza ezintweni zokufunda futhi bathole ulwazi olufanele.

Khuthaza Abafundi

I-ML ivumela abafundi ukuthi bathole ulwazi ngokusebenzisa indlela yabo yokufundisa. Nge-ML, abafundi bangagxila ezikhaleni zabo zolwazi kunokuqhubeka bazulazule phezu kwekharikhulamu efanayo futhi engasasebenzi.

Ezimweni eziningi, lapho abafundi beqala izifundo, badlula ezingxenyeni eziningi ezingadingekile nezibuthuntu zohlelo lokuqeqesha. I-ML isusa lesi sici esinciphisayo soqeqesho njengama-algorithms aqapha inqubekela phambili yabafundi acwenga kahle ikharikhulamu, asuse lezo zingxenye ezingadingekile.

Lokhu kuvumela abafundi ukuthi bachithe isikhathi esincane kakhulu ekuqeqesheni nasekuzuzeni amakhono abawadingayo futhi bafinyelele ezinhlosweni zabo zokuqeqesha. Ukufakwa kwe-ML kwenza abafundi baqonde iqiniso lokuthi izifundo zenzelwe ukufeza izikhala zabo zolwazi nokuthi ngeke kube khona ukuchitheka kwesikhathi ngezifundo ezingabalulekile.

Bathola ithuba lokubamba iqhaza esifundweni ngokuzikhandla njengoba bazi ukuthi izifundo ziphendula ngqo ezidingweni zabo.

Kuthuthukisa i-ROI

Njengoba i-ML inamandla okunciphisa isikhathi sesifundo kakhulu, inika amandla abasebenzi / abafundi ukugxila emisebenzini yabo ehlobene nomsebenzi. Ngaphezu kwalokho, njengoba ukwazi ukufinyelela inqubekela phambili yabasebenzi / yabafundi bakho, ungahlela izifundo zakho eziku-inthanethi zazo ezidinga indlela ecace kakhudlwana yokubenza bakwazi ukusebenza kangcono.

Ungazibona ngokushesha izihloko abafundi bakho abalwa nazo kakhulu ngokuhlaziya idatha eyenziwe ngezifundo ze-eLearning. Abafundi bangagxila ezikhaleni zabo zolwazi njengoba i-ML algorithm izolungisa izinto ezifundwayo. Ngakho-ke, ungonga isikhathi esiningi nezinsizakusebenza ezintweni zokuqeqesha.

Imikhuba Yokufundisa

Ngokuza kwezinhlelo zokusebenza zemihlangano yevidiyo nezinhlelo zokusebenza zemiyalezo efana ne-Skype, indlela yokuqeqeshwa eyenziwe yaba ngeyakho nayo yaduma. Amakilasi omculo, ukuphathwa kwamaphrojekthi, ingxoxo yobunjiniyela, ukufundiswa kwezemfundo konke lokhu kungenzeka namuhla ngenxa yokuqeqeshwa online.

Amakilasi angaxhunyaniswa emakilasini ahlukene asatshalaliswa emingceleni ebanzi yezwe ukuze kufezwe izidingo ezahlukahlukene zokuqeqesha kanye nokukhuthaza uhlelo lokufunda olusebenza kahle. Abahlinzeki be-eLearning abahamba phambili basebenzisa i- ukubhala ama-softwares ukuthuthukisa izinhlelo zokusebenza zemultimedia zokuphatha izinto zemultimedia.

Esikhaleni semfundo, i-ML neminye imikhakha yentuthuko yezobuchwepheshe bokufakelwa izodlala indima ebalulekile. Ukucutshungulwa kolimi lwemvelo kanye nama-algorithm we-ML ayisiqalo nje salolu shintsho lobuchwepheshe.

Imicabango Final

I-ML, uma yethulwa ezinhlelweni ze-eLearning, ingenza kube lula ukutholwa kolwazi olugxile kubafundi nolubalulekile. Ukwenza ipulatifomu yangokwezifiso ye-eLearning nge-ML kungakhuphula kakhulu ukusebenza kwabafundi / kwabasebenzi bakho. Ngaphezu kwalokho, bazothola isikhathi esanele sokwenza imisebenzi yabo ephathelene nomsebenzi yenziwe ngendlela efanelekile.

 

Mayelana umbhali 

Imran Uddin


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