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A Su ey on S uden s’ Pe cep ion o G id and Cloud Compu ing Applica ions
1
S. E. Adepoju1,*, G. F. Ologunagba2
2
3
1Depa men o Compu e Science, Achie e s Uni e si y Owo, Nige ia.4
2Depa men o Compu e Science, Ru us Giwa Poly echnic, Owo, Nige ia.
5
1[email p o ec ed],2g ac[email p o ec ed]6
* co esponding au ho (Email: adepoju.se@achie e s.edu.ng. Phone: +234-816-298-5441)
7
8
ABSTRACT
9
This s udy in es iga es he pe cep ion, awa eness, and p ac ical engagemen wi h g id and cloud10
compu ing echnologies among compu e science s uden s in Nige ian e ia y ins i u ions.
11
U ilizing a s uc u ed online su ey, da a we e collec ed om 585 esponden s ac oss a12
uni e si y and a poly echnic. Resul s indica e ha while a majo i y o s uden s a e heo e ically
13
knowledgeable and highly awa e, p ima ily h ough class oom ins uc ion, he e emains a14
signi ican gap be ween his knowledge and p ac ical applica ion. Key indings show ha emale
15
uni e si y s uden s aged 15–20 ep esen he mos ac i e use s o cloud se ices. Despi e gene al16
sa is ac ion and us in cloud echnologies, s uden s epo limi ed oppo uni ies o eal-wo ld
17
p ac ice, ci ing in as uc u al de ici s and minimal hands-on exposu e. The s udy unde sco es18
he need o cu iculum enhancemen s, ins i u ional suppo , and expe ien ial lea ning s a egies
19
o b idge he heo y-p ac ice di ide, he eby equipping s uden s o u u e cloud-enabled ca ee s20
in he digi al economy.
21
22
Keywo ds: Te ia y Educa ion, P ac ical Applica ion, Cloud Compu ing, Theo e ical knowledge,
23
Digi al Awa eness.24
25
1.0 INTRODUCTION26
1.1 Backg ound o he s udy
27
In he digi al age, he g ow h o da a, de ices, and dis ibu ed sys ems has inc eased he need o 28
e icien compu ing pa adigms. G id and cloud compu ing a e ounda ional, o e ing
29
ans o ma i e po en ial ac oss sec o s. G id ha nesses dispe sed esou ces o complex p oblems,
30
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while cloud p o ides scalable, on-demand in as uc u e, suppo ing lexibili y, cos e iciency,31
and inno a ion. These echnologies a e linked, wi h g id se ing as a p ecu so o cloud. Cloud32
e ol ed h ough i ualiza ion, becoming use - iendly and iable o a ious applica ions, om
33
da a backups o AI. G id emains c ucial o scien i ic simula ions and ede a ed da a p ocessing.34
35
1.2 P oblem S a emen 36
Despi e hei impo ance wo ldwide and hei equen use in de eloped coun ies, g id and cloud
37
compu ing a e s ill no ye commonly adop ed o e ec i ely used in some de eloping na ions,38
especially in schools and uni e si ies. Many s uden s lea n abou hese ideas in ex books bu do
39
no ge enough chance o use eal-wo ld ools o pla o ms. This gap be ween wha s uden s lea n40
and hei hands-on expe ience makes i ha de o g adua es o be ully eady o digi al
41
ans o ma ion jobs.42
43
1.3 Objec i es and Scope o he S udy44
This s udy aims o add ess his gap, concen a ing on e ia y s uden s in Nige ia. I in es iga es
45
s uden s' awa eness, heo e ical unde s anding, and p ac ical engagemen wi h g id and cloud46
compu ing echnologies. The esea ch speci ically examines how age, compu e li e acy, and
47
ins i u ional exposu e in luence hei pe cep ion and use o hese echnologies.48
49
1.4 Signi icance o he s udy50
This s udy employs a s uc u ed su ey o ga he da a-d i en insigh s in o how well s uden s can
51
apply hei knowledge ou side class oom se ings. I also aims o iden i y sys emic ba ie s such52
as inadequa e in as uc u e, poo cu iculum in eg a ion, and limi ed ins i u ional suppo ha
53
hinde ull u iliza ion o hese echnologies. By analyzing hese ac o s, he esea ch in ends o54
o e p ac ical ecommenda ions o educa o s, policymake s, and echnology s akeholde s o
55
close he gap be ween heo y and p ac ice, ul ima ely enhancing ICT educa ion and p epa ing56
s uden s o ca ee s in cloud compu ing. As digi al luency inc easingly co ela es wi h job
57
eadiness and inno a ion, unde s anding and imp o ing he ansi ion om lea ning o58
applica ion in g id and cloud compu ing is bo h c i ical and u gen .
59
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2.0 LITERATURE REVIEW61
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2.1 Rela ed Wo ks62
The ise o g id and cloud compu ing has ans o med how compu a ional esou ces a e deli e ed63
and consumed. G id compu ing allows geog aphically dis ibu ed esou ces o ope a e as a
64
uni ied sys em. [1] desc ibed i as a amewo k o coo dina ed esou ce sha ing and p oblem-65
sol ing in dynamic, mul i-ins i u ional i ual o ganiza ions. I s in luence spans esea ch a eas
66
such as wea he modeling, molecula simula ions, and da a-in ensi e scien i ic expe imen s.67
Cloud compu ing e ol ed om g id compu ing and i ualiza ion, o e ing be e accessibili y,
68
elas ici y, and esou ce p o isioning. [2] de ine i as a model o on-demand access o sha ed69
con igu able esou ces. I s se ice models, IaaS, PaaS, SaaS, a e widely adop ed in business and
70
consume ma ke s. Recen s udies show cloud compu ing boos s o ganiza ional agili y, educes71
cos s, and os e s inno a ion. A Su ey on Cloud Compu ing. [3] conduc ed esea ch on a
72
su ey on cloud compu ing secu i y: issues, h ea s, and solu ions. In he esea ch, he su ey73
p esen ed a comp ehensi e o e iew o he secu i y issues o di e en ac o s a ec ing cloud
74
compu ing. The esea che s emphasised a de ailed discussion on se e al key opics ega ding75
embedded sys ems, applica ions, s o age sys ems, clus e ing- ela ed issues and many mo e. The
76
pape wo ked on public cloud and p i a e cloud au ho i ies as well as ela ed secu i y conce ns.77
Addi ionally, i encompassed he equi emen s o be e secu i y managemen and sugges ed a
78
3- ie secu i y a chi ec u e.79
[4], in a e iew on cloud compu ing, desc ibed he basic concep s o cloud compu ing in a
80
nu shell so ha he eade s can ge an essence o his newly eme ging echnology.81
In educa ion, cloud compu ing has ans o med digi al lea ning wi h e-lea ning, esou ce sha ing,
82
collabo a ion, and i ual labs. While de eloped na ions success ully adop cloud se ices,83
de eloping coun ies like Nige ia ace a gap be ween heo y and p ac ice. A Su ey o Cloud
84
Compu ing Awa eness, Secu i y Implica ion and Adop ion in Nige ia IT-Based En e p ises by [5]85
ound ha he end o awa eness and adop ion was e y minimal, wi h many being scep ical,
86
al hough ew businesses we e awa e o he cloud echnology. [6] in es iga ed he impac o 87
cloud compu ing echnology on eco d managemen o seconda y schools in Agbani Educa ion
88
Zone o Enugu S a e. The indings o he s udy showed ha So wa e-as-a-Se ice and Pla o m-89
as-a-Se ice ha e signi ican impac on eco d managemen in seconda y schools in Agbani
90
Educa ion zone o Enugu S a e. Based on he s udy's indings, i was ecommended ha 91
seconda y schools in he Agbani Educa ion zone o Enugu S a e conside adop ing So wa e-as-92
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a-Se ice (SaaS) and Pla o m-as-a-Se ice (PaaS) solu ions o hei eco d managemen 93
sys ems. [7] no e ha Nige ian ins i u ions see bene i s bu a e hinde ed by in as uc u e and94
exposu e challenges. Resea ch shows ha s uden s o en eel disconnec ed om eal-wo ld
95
applica ions o class oom knowledge. Many lea n abou g id and cloud ech heo e ically bu 96
lack hands-on expe ience wi h pla o ms like AWS, Azu e, o Google Cloud. Many educa ional
97
ins i u ions also join he e o o inco po a e cloud echnologies in o hei ope a ions. The use98
and adop ion o cloud-deli e ed se ices a e sp eading e e ywhe e, and he educa ion sec o is
99
no excep ion. Howe e , a es and magni udes a y by egion and egional cu ency posi ions [8].100
Cloud compu ing is becoming an inc easingly essen ial pa o he educa ion indus y, and his is
101
due o inc easing compe i ion in he highe educa ion ma ke and p essu e on pe o mance,102
s uden success, and e enue [9]. This gap challenges he de elopmen o a digi ally p o icien
103
wo k o ce. Li e a u e sugges s in eg a ing g ids' decen alized capabili ies wi h cloud elas ici y104
and AI o ches a ion o dynamic wo kload managemen , hin ing a a u u e whe e hese
105
echnologies coexis and imp o e sma in as uc u es, IoT, and edge compu ing. This e iew106
emphasizes he u gen need o empi ical s udies on how s uden s in de eloping coun ies
107
pe cei e and use hese echnologies. I se s he s age o a s udy wi h da a om a case in108
Nige ian e ia y ins i u ions.
109
110
2.2 Resea ch Ques ions
111
1. Which demog aphics show he highes le el o cloud se ice usage?112
2. Wha is he ela ionship be ween s uden s' heo e ical knowledge and hei eal-li e
113
expe ience wi h g id and cloud compu ing?114
3. Wha a e he ba ie s p e en ing s uden s om ansi ioning heo y in o p ac ice?
115
4. Wha is he le el o sa is ac ion and us in cloud compu ing among young use s?116
117
3.0 METHODOLOGY118
3.1 Resea ch Design
119
This s udy adop ed a quan i a i e su ey app oach o assess s uden s’ awa eness, heo e ical120
unde s anding, and p ac ical applica ion o g id and cloud compu ing echnologies. A desc ip i e
121
esea ch design was used o collec da a ha e lec s pa icipan s' knowledge le els, expe iences,122
and pe cep ions.123
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3.2 Popula ion and Sampling125
The a ge popula ion comp ises s uden s om e ia y ins i u ions in Nige ia, speci ically
126
uni e si ies and poly echnics. The selec ion aimed o ensu e di e si y in academic exposu e and127
echnological li e acy. A non-p obabili y sampling me hod (con enience sampling) was used,
128
elying on olun a y s uden pa icipa ion h ough online su ey links.129
130
3.3 Da a Collec ion131
Da a was collec ed using a s uc u ed ques ionnai e adminis e ed ia Google Fo ms. The
132
ques ionnai e consis ed o bo h closed-ended ques ions (Like scale, mul iple choice) and133
mul iple-choice i ems ac oss se e al sec ions
134
In his s udy, he su ey was conduc ed o analyze he pe cep ion and expe ience owa ds he use135
o g id and cloud compu ing applica ions among compu e science s uden s only. Da a was
136
collec ed using a s uc u ed ques ionnai e adminis e ed ia Google Fo ms (a cloud compu ing137
applica ion p o ided by Google).
138
The su ey consis s o wo pa s: he i s pa includes an in oduc ion and pe sonal in o ma ion,139
which con ains 5 ques ions: ins i u ion ype, age classi ica ion, gende , compu e li e acy, and
140
how hey hea d abou g id and cloud compu ing?. Figu e 1 shows he i s sec ion o he su ey.141
All ques ions in he i s and second we e se o compulso y (i.e. mus be answe ed be o e
142
mo ing o he nex sec ion o submi ing).143
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Figu e 1: The i s sec ion o he su ey con ains he i le and demog aphics.145
The second sec ion con ains he ques ionnai e ega ding indi iduals' expe ience wi h g id and146
cloud compu ing. Fi een (15) ques ions we e asked in he second sec ion, making i 20 ques ions
147
in o al o he su ey, and hey we e pi o al o indi iduals' pe cep ions o he use o g id and148
cloud compu ing applica ions. To iew he su ey, iew_analy ics shows how esponden s
149
answe ed each ques ion.150
151
4.0 RESULTS AND ANALYSIS152
4.1 Da a Analysis
153
585 esponses we e eco ded om wo ins i u ions, he Uni e si y and he Poly echnic s uden s.154
The collec ed da a was cleaned and analyzed using Mic oso Excel and Py hon o desc ip i e
155
s a is ics. The Mic oso Excel o ma was expo ed as a Comma-Sepa a ed Value (.cs ) ile156
o ma and impo ed in o Py hon (Jupy e ).
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158
Figu e 2: Image showing he desc ip ion o he da a, o al esponses, and numbe o ques ions
159
adminis e ed using Py hon language (Jupy e )160
161
4.1.1 Demog aphics and Backg ound Da a (Ca ego ical a iables)162
Each esponden was asked, “A e you compu e -li e a e?”. Backg ound in o ma ion abou
163
esponden s' echnological skills o amilia i y. This helps o know whe he esponden s a e164
capable o using compu e s o digi al ools. 537 (91.6%) s uden s answe ed “Yes” and 48 (8.4%)
165
s uden s answe ed “No” o being Compu e li e a e.166
4.1.1.1 Demog aphics by Ins i u ion
167
O he 585 esponden s, 576 (98.5%) a e Uni e si y s uden s, 8 (1.4%) a e Poly echnic s uden s,168
and 1 (0.1%) is om he College o Educa ion. This sugges s ha a signi ican numbe o
169
esponden s who comple ed he su ey a e uni e si y s uden s.170
171
4.1.1.2 Demog aphics by Age Classi ica ion172
The e exis 4 classi ica ions in he Age a ia ions: below 15 wi h no s uden s, 15 - 20 wi h 512
173
s uden s, 21 - 25 wi h 54 s uden s, and abo e 25 wi h 19 s uden s. Figu e 3 shows he pe cen age174
and he age classi ica ion o he o al esponden s.
175
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Figu e 3: Age demog aphics o he sample popula ion
178
179
4.1.1.3 Demog aphics by Gende
180
This s udy adop s bina y gende classi ica ion, wi h 179 (30.6%) male s uden s and 406 (69.4%)181
emale s uden s, o he o al esponden s.
182
183
4.1.2 Theo e ical Knowledge (Ca ego ical a iables)
184
4.1.2.1 Awa eness on g id & cloud compu ing185
The ques ion was asked in o de o ga he insigh in o in o ma ion sou ces and awa eness
186
pa hways. I also helps o assess how widesp ead knowledge o he opic is. Figu e 4 is a cha 187
showing he equency o di e en sou ces h ough which people became awa e o he opic
188
“How did you know abou g id and cloud compu ing?”.189
190
Figu e 4: Sou ces o awa eness abou g id and cloud compu ing among s uden s191
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This implies ha a good numbe o s uden s a e awa e o g id and cloud compu ing applica ions193
h ough he ollowing media: 52.7% om he class oom, 20.5% om social media, 9.2% om194
esea ch, 5.5% om IT aining, 2.4% om colleagues, and 9.6% om o he media.
195
196
4.1.2.2 Knowledge abou g id compu ing se ice p o ide s
197
Responden s we e asked which g id compu ing se ice p o ide s hey a e amilia wi h and we e198
old o selec all ha apply. Figu e 5 gi es he o al numbe o imes a ious s uden s selec ed he
199
pa icula g id compu ing se ice p o ide and does no accoun o he o al esponden s, being a200
mul iple- esponse ques ion.
201
202
203
Figu e 5: Selec ion o g id compu ing se ice p o ide s among s uden s
204
205
This may imply ha mos s uden s a e no amilia wi h he lis ed g id compu ing se ice
206
p o ide s o do no know hem. Figu e 7 illus a es s uden s' selec ion o g id compu ing se ice207
p o ide s.
208
209
4.1.2.3 Pe cep ion abou cloud compu ing se ice p o ide s
210
Responden s we e asked which cloud compu ing se ice p o ide s hey a e amilia wi h and211
we e old o selec all ha apply. Figu e 6 illus a es ha mos s uden s a e con e san wi h he
212
lis ed cloud compu ing se ice p o ide s.213
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