Mobile learning has developed into an essential component within the education landscape and, with two billion users worldwide, the social media platform WhatsApp has become a prominent feature in this domain. Nevertheless, with ambiguity in the literature about the effects of WhatsApp on teaching and learning and especially a paucity of research measuring collaboration on WhatsApp in relation to students’ academic achievement. The purpose of the study was to explain and predict WhatsApp’s effect on academic achievement using a quantitative questionnaire. The results suggest that increased collaboration on WhatsApp may improve academic achievement. Additionally, improving other aspects, such as active learning, trust, support, formality, interaction and interdependence, may enhance collaboration and, in turn, improve academic achievement. The study has value by providing measurable scientific evidence about the effects of WhatsApp on learning that can be incorporated into the design of teaching and learning activities with WhatsApp to improve academic achievement. / Uhlelo lokufunda uhamba (Mobile learning) selikhule ladlondlobala laba yisigaba esibalulekile ngaphansi komkhakha wemfundo kanti, lolu hlelo selunabasebenzisi abangamabhiliyoni amabili emhlabeni wonke jikelele, uhlelo lwenkundla yezokuxhumana komphakathi lwe-WhatsApp seluyinkanyezi egqamile kulesi sizinda. Yize-kunjalo, kukhona okungacaci kahle mayelana nombhalo wobuciko kwimiphumela yohlelo lwe-WhatsApp mayelana nokufundisa kanye nokufunda, kanti ikakhulu, uhlelo lwezocwaningo olulinganisa izinga lokusebenzisana kohlelo lwe-WhatsApp okumayelana nokuphumelela kwabafundi kwizifundo zabo. Inhloso yalolu cwaningo kwaye kuwukuchaza kanye nokuhlahla umphumela wohlelo lwe-WhatsApp kwezemfundo, ngokusebenzisa uhlelo locwaningo lwemibuzo egxile kumanani (quantitative questionnaire) . Imiphumela iphakamisa ukuthi izinga lokusbenzisana ohlelweni lwe-WhatsApp lungathuthukisa umphumela wezemfundo. Ngaphezu kwalokho, lungathuthukisa ezinye izinhlaka, ezinjengohlelo lokufunda olumatasa. Lungaletha ukwethembana, ukuxhasana, ukwenza izinto ngendlela esemthethweni, lungaletha ukuxoxisana kanye nokusebenzisana kwangaphakathi, lungaqinisa ukusebenzisana, kanti ngakolunye uhlangothi, lungaletha impumelelo kwezemfundo. Ucwaningo lubalulekile ngoba lunikeza ubufakazi bezesayensi obulinganisekayo mayelana nemithelela yohlelo lwe-WhatsApp ohlelweni lokufunda, okuwuhlelo olungafakwa ngaphansi kohlelo lokudizayina imisebenzi yohlelo lokufunda nokufundisa ku-WhatsApp ukuthuthukisa ukwenza ngcono imiphumela yezemfundo. / Mobiele leer het in ’n noodsaaklike komponent van die onderwyslandskap ontwikkel en met twee miljard gebruikers wêreldwyd, het die sosiale mediaplatform WhatsApp ’n prominente kenmerk van hierdie domein geword. Nogtans bestaan daar dubbelsinnigheid in die letterkunde oor die uitwerking van WhatsApp op onderrig en leer, en is daar veral ’n gebrek aan navorsing wat die samewerking op WhatsApp in verhouding tot die studente se akademiese prestasies meet. Die doel van hierdie studie was om WhatsApp se uitwerking op akademiese prestasie aan die hand van ’n kwantitatiewe vraelys te verduidelik en te voorspel. Die resultate stel voor dat ’n groter mate van samewerking op WhatsApp akademiese prestasie kan verbeter. Dit kan ook ander aspekte soos aktiewe leer, vertroue, ondersteuning, formaliteit, interaksie en onderlinge afhanklikheid verbeter en kan samewerking verhoog, wat op sy beurt akademiese prestasie kan verbeter. Die studie is waardevol in die sin dat dit meetbare, wetenskaplike bewyse oor die uitwerking van WhatsApp op leer verskaf het, wat by die ontwerp van onderrig- en leeraktiwiteite geïnkorporeer kan word om akademiese prestasie te verbeter. / School of Computing / M. Tech. (Information Technology)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/27566 |
| Date | 01 1900 |
| Creators | Nyembe, Bangisisi Zamuxolo Mathews |
| Contributors | Howard, G. R. |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 online resource (xii, 195 leaves), application/pdf |
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