Matshi 29, 2020

Indima yokuFunda komatshini kwi-eLearning

Abafundi kwihlabathi liphela banokulawulwa kakuhle ngetekhnoloji yokufunda ngomatshini (ML). Abasebenzi namhlanje bafuna umgangatho ophakamileyo wezixhobo ze-eLearning, eziguquguqukayo nezisebenzisanayo. Ukukhokela UMBULELO ababoneleli babhala ngendlela eyiyo ukufunda, ukuqikelela iimfuno zokufunda, kwaye ngokuzenzekelayo babonelela ngesiqulatho esifanelekileyo kunye nexesha elifanelekileyo kubafundi bayo besebenzisa inkqubo yokwazisa ipateni. Makhe siphonononge ngakumbi malunga nendlela itekhnoloji ye-ML eyila ngayo ikamva le-eLearning.

ML Ingaziqonda iipatheni zomsebenzi womfundi

Ii-algorithm ze-ML zinokusetyenziselwa ukujonga indlela abaqhuba ngayo abafundi ababhaliswe kwi-LMS ngokusekwe kwiiseshoni zokufunda ezizayo kunye nezihloko zabo ezinokuphuhliswa. Ngale ndlela, iimfuno zokwenyani zokufunda zinokuhlangatyezwa. Inkqubo enjalo iluncedo kwiimeko ezinje, umzekelo, abafundi abangama-30 abanezakhono ezahlukeneyo namava abhalisele ikhosi. I-ML LMS ihambisa umxholo owenziwe ngokwezifiso ngokwabafundi ngabanye ngokwenza ikhosi ihambelane nekhono lobuchule babafundi. Yiyo loo nto ngokwenza izinto ezithile kwimixholo yokufunda, abafundi abanolwazi banokwenza inkqubela phambili ngokukhawuleza, kwaye abafundi abanolwazi oluncinci bafumana ithuba elingcono lokusebenza kwezixhobo zokufunda kwaye bafumane ulwazi olululo.

Khuthaza abafundi

I-ML ivumela abafundi ukuba bafumane ulwazi ngokusebenzisa indlela yabo yokufundisa. Nge-ML, abafundi bangagxila kwizikhewu zabo zolwazi kunokuba baqhubeke bejikeleza ngaphezulu kwekharityhulamu efanayo neyoyimfuneko.

Kwiimeko ezininzi, xa abafundi beqala ikhosi, badlula kwiindawo ezininzi ezingeyomfuneko nezothukileyo zenkqubo yoqeqesho. I-ML ishenxisa lo mbandela wokunciphisa uqeqesho njengama-algorithms abeka iliso kwinkqubela phambili yabafundi acokisa ikharityhulamu ngokufanelekileyo, esusa ezo ndawo zingafunekiyo.

Oku kuvumela abafundi ukuba bachithe ixesha elincinane kakhulu kuqeqesho nasekufumaneni izakhono ezinqwenelekayo kunye nokufikelela kwiinjongo zabo zoqeqesho. Ukufakwa kwe-ML kunceda abafundi ukuba baqonde inyani yokuba ikhosi yenzelwe ukuzalisekisa izikhewu zolwazi kwaye akusayi kubakho nkcitho yexesha ngezifundo ezingabalulekanga.

Bafumana ithuba lokuthatha inxaxheba kwikhosi ngakumbi njengoko besazi ukuba ikhosi iphendula ngokuchanekileyo kwiimfuno zabo.

Iphucula i-ROI

Njengoko i-ML inesakhono sokunciphisa ixesha lokufunda kakhulu, yenza ukuba abasebenzi / abafundi bakwazi ukugxila kwimisebenzi yabo enxulumene nomsebenzi. Ngaphaya koko, ekubeni unokufikelela kwinkqubela phambili yomqeshwa / yomfundi, unokucwangcisa iikhosi zakho ezikwi-Intanethi zabo ezifuna indlela ecokiswe ngakumbi ukubenza basebenze ngcono.

Ungazibona ngokukhawuleza izihloko abafundi bakho abasokolayo nezona zininzi ngokuhlalutya idatha eveliswe zizifundo ze-eLearning. Abafundi bangagxila kwizikhewu zabo zolwazi njengoko iML algorithm iya kuhlengahlengisa izinto zekhosi. Ke, unokugcina ixesha elininzi kunye nezixhobo kwizixhobo zoqeqesho.

Ukuziqhelanisa nokufundisa

Ngokufika kweenkqubo zokunxibelelana nevidiyo kunye nee -apps zemiyalezo ezinje ngeSkype, indlela esebenzisekayo yoqeqesho lokwenyani nayo iye yathandwa. Iiklasi zomculo, ulawulo lweprojekthi, ingxoxo yobunjineli, ukufundiswa kwabafundi konke oku kunokwenzeka kule mihla ngenxa yoqeqesho lwe-Intanethi.

Amagumbi okufundela anokuqhagamshelwa kumagumbi ahlukeneyo okusasazeka kwimida ebanzi yejografi ukufezekisa iimfuno zoqeqesho ezahlukeneyo kunye nokukhuthaza inkqubo yokufunda enempumelelo ngakumbi. Ababoneleli abaphambili be-eLearning basebenzisa izixhobo zokubhala ukuphuhlisa usetyenziso lwemultimedia yokusetyenziswa kwezinto zemultimedia.

Kwisithuba semfundo, i-ML kunye namanye amacandelo ophuhliso lobukrelekrele bokuzenzela baya kudlala indima ebalulekileyo. Ukulungiswa kolwimi lwendalo kunye ne-ML algorithms sisiqalo nje solu tshintsho lwetekhnoloji.

Iingcinga Final

I-ML, xa ithe yaziswa kwiinkqubo ze-eLearning, inokuququzelela ukufunyanwa kolwazi olugxile kubafundi noluxabisekileyo. Ukuphuhlisa iqonga lesiqhelo le-eLearning nge-ML kunokunyusa kakhulu ukusebenza kwabafundi / kwabasebenzi bakho. Ukongeza, baya kufumana ixesha elaneleyo lokwenza imisebenzi yabo enxulumene nomsebenzi yenziwe ngendlela efanelekileyo.

 

Malunga nombhali 

Imran Uddin


{"imeyile": "Idilesi ye-imeyile ayisebenzi", "url": "Idilesi yewebhusayithi ayisebenzi", "ifunwa": "Indawo efunekayo ilahlekile"}