Co esponding au ho : Rajesh Gundu
Copy igh © 2025 Au ho (s) e ain he copy igh o his a icle. This a icle is published unde he e ms o he C ea i e Commons A ibu ion License 4.0.
A s udy on academic managemen sys ems
Ka i ha Soppa i, Rajesh Gundu *, Snehala ha Che ula and Anandi ha Phindla
Depa men o CSE(AI&ML), ACE Enginee ing College, India.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 538-542
Publica ion his o y: Recei ed on 25 Ma ch 2025; e ised on 30 Ap il 2025; accep ed on 02 May 2025
A icle DOI: h ps://doi.o g/10.30574/wja .2025.26.2.1593
Abs ac
Today's educa ional ins i u ions use digi al pla o ms mo e and mo e o ack academic pe o mance, manage s uden
da a, and help s uden s and acul y communica e. Se e al sys ems ha e been c ea ed o iden i y s uden s who equi e
academic suppo , isualize lea ning ou comes, and au oma e adminis a i e p ocedu es. Among hem he signi ican
me hods a e machine lea ning-based pe o mance p edic ion ools, lea ning analy ics in eg a ed in o LMS pla o ms,
and academic managemen engines. Howe e , a lo o hese solu ions concen a e on a ious ea u es, like basic
epo ing, pe o mance isualiza ion, o eco d keeping, and equen ly lack pe sonaliza ion, in e ac ion, o in eg a ion.
In e ms o eal- ime acking, s uden engagemen , and educa ional anspa ency, his s udy examines cu en
academic moni o ing sys ems and e alua es hei ad an ages and disad an ages.
Keywo ds: Digi al pla o ms; Academic pe o mance; Lea ning analy ics; Machine lea ning; S uden engagemen ;
Real- ime acking; educa ional anspa ency
1. In oduc ion
In ecen yea s, digi aliza ion in educa ion has led o he de elopmen o se e al sys ems aimed a simpli ying academic
p ocesses and suppo ing s uden lea ning. Mos o he pla o ms ocus on digi izing a endance, au oma ing g ade
en y, o gene a ing pe o mance dashboa ds. Ins i u ions a e able o manage la ge olumes o academic da a by using
he pla o ms like Academic Managemen Sys ems (AMS), Lea ning Managemen Sys ems (LMS), and in elligen
analy ics pla o ms. Tools such as clus e ing algo i hms, dashboa ds, and KPIs ha e enabled s uden classi ica ion,
pe o mance acking and measu ing lea ning engagemen playing a c ucial ole in his p ocess. Despi e ha ing hei
own unc ionali ies hese sys ems o en lack some signi ican ea u es like he abili y o co ela e in e nal academic
me ics wi h co-cu icula o pla o m-based achie emen s, imely eedback mechanisms, eal- ime da a low,
pe sonalized dashboa ds, seamless acul y-s uden in e ac ion, pee compa ison, comple e s uden iew. A e iew o
hese sys ems p o ides insigh s in o wha has been achie ed and whe e imp o emen s a e s ill needed.
2. Li e a u e Re iew
2.1. Ms. Nishu Se hi and D . Anshu Malho a. (2023) E iciency Engine: Designing and Implemen ing an
Academic Managemen Sys em
This pape ocuses on an Academic Managemen Sys em (AMS) ha aims o digi alize he academic and adminis a i e
asks wi hin educa ional ins i u ions. The sys em aims o imp o e ope a ional e iciency by au oma ing adi ional
manual p ocesses such as s uden en ollmen , a endance acking, academic eco d-keeping, and acul y-s uden
communica ion. The au ho s p esen a s uc u ed design ha cen alizes s uden academic da a, enabling easie access
and managemen ac oss depa men s and acul ies.The AMS educes manual e o s and ensu es as e decisionmaking
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 538-542
539
by o e ing eal- ime access o academic in o ma ion. I includes ea u es like cou se egis a ion modules, cen alized
a endance acking, and epo gene a ion ools ha helps in imp o ing ins i u ional wo k low.
The au ho s also highligh he impo ance o use - iendly in e aces and secu e access o s uden s, acul y, and
adminis a o s. In spi e o i s con ibu ions, he sys em lacks ad anced engagemen and pe sonaliza ion ea u es. I
doesn' p o ide eal- ime no i ica ions, making i ha de o ci cula e u gen announcemen s o upda es. Mo eo e , he
pla o m lacks compe i i e ools like leade boa ds o pe sonalized dashboa ds o pee compa ison ha mo i a es
s uden s. The au ho s sugges ha al hough AMS plays a c i ical ole in managing ins i u ional p ocesses, i s limi a ion
lies in i s s a ic na u e—p ima ily se ing as a eco d-keeping sys em a he han a dynamic, in e ac i e pla o m.
The e is a clea oppo uni y o ex end such sys ems o include ools ha s eng hen s uden mo i a ion, pee
engagemen , and eal- ime academic suppo o mo e engaging and ad anced sys ems.
2.2. Vedan Khope, Mayu S. Bannawade, Vedan S. Thawali, Sh a ani V. Mohod, D . Ni in R. Chopde. (2024)
Enhancing Educa ion: Real-Time T acking O S uden s' Lea ning Ou come And Academic P og ess Ac oss
Ru al A ea Schools
This esea ch pape p oposes a da a-d i en educa ion managemen pla o m ha speci ically add esses he challenges
aced in u al educa ion. The pla o m ocuses on eal- ime acking o s uden pe o mance using da a isualiza ion
echniques and machine lea ning.
The p oposed sys em collec s da a om mul iple academic sou ces, including a endance eco ds, in e nal exam esul s,
and pe o mance ends o e ime. The sys em analyze he da a and c ea es isual ou pu s such as ba g aphs, pie
cha s, and dashboa ds ha help s uden s and adminis a o s ack academic p og ess mo e e ec i ely. The inclusion
o machine lea ning allows he sys em o p edic academic s uggles and o e cus omized ecommenda ions based on
indi idual s uden .
The au ho s discuss how he pla o m can be adjus ed o sui he local equi emen in u al a eas whe e he
digi aliza ion is somewha slow. Apa om i s abili ies, he sys em alls sho in a eas such as communica ion and
in e ac i i y, lack o eal- ime no i ica ions, accessing acul y p o iles, o esou ce-sha ing capabili ies limi s s uden
engagemen and academic suppo .
The pape concludes ha al hough he pla o m e ec i ely p omo es da a-d i en o e sigh in u al a eas, adding
ea u es like eal- ime communica ion, access o s udy ma e ials, and in e ac i e dashboa ds would u he enhance i s
u ili y.
2.3. Aimad Qazda , Sa a Qassimi, Oussama Hassidi, Me iem Ha idi, El Hassan Abdelwahed, Yousse Melk (2022)
Lea ning Analy ics o S uden T acking P og ess in LMS
This pape examines he powe o Lea ning Analy ics (LA) wi hin Lea ning Managemen Sys ems (LMS) o moni o and
analyze s uden beha io and academic p og ess. The pape p esen s a case s udy ocused on a Web Technologies
cou se. The da a was collec ed om s uden in e ac ions and ans o med in o meaning ul Key Pe o mance Indica o s
(KPIs). These KPIs included me ics like ime spen on esou ces, quiz sco es, and assignmen submission a es.The
pape discuss abou 5 key indica o s (Connec i i y, Acquisi ion, P oduc i i y, In e ac i i y, and Reac i i y) o ack he
s uden p og ess in online lea ning.
2.3.1. Connec i i y Indica o
I shows how s uden s a e connec ed o he cou se.The o mula is based on F equency o isi s ( eqCons), A e age
session du a ion (sessionDu a ion), and Numbe o isi ed uni s (nb O Uni s)
Fo mula: Connec i i y = 0.1 × eqCons + 0.3 × sessionDu a ion + 0.6 × nb O Uni s
2.3.2. Acquisi ion Indica o
I measu es how much he s uden has lea ned. The o mula is based on A e age quiz sco e (quizSco e), and Numbe
o achie ed uni s (nb O Ach Uni s)
Fo mula: Acquisi ion = 0.7 × quizSco e + 0.3 × nb O Ach Uni s
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 538-542
540
2.3.3. P oduc i i y Indica o
I shows how well he s uden pe o med in wo kshops and assignmen s. The measu emen is based on Wo kshop
g ade (wo kShG ad), Pee e alua ion g ade (w kShPee E lG), and Assignmen g ade (AssigG ad).
Fo mula: P oduc i i y = 0.4 × wo kShG ad + 0.2 × w kShPee E lG + 0.4 × AssigG ad
2.3.4. In e ac i i y Indica o
I measu es how ac i e he s uden is in discussions.The o mula is based on Numbe o pos s (nb O Pos ), Fo um
consul a ions (nb O Fo umCons)
Fo mula: In e ac i i y = 0.8 × nb O Pos + 0.2 × nb O Fo umCons
2.3.5. Reac i i y Indica o
I shows how quickly a s uden esponds o new ma e ial. The o mula is based on Time o i s consul a ion
( imeO Fi s Cons), Time o esou ce publica ion ( imeO ResPub)
Fo mula: Reac i i y = imeO Fi s Cons – imeO ResPub
The main ea u e o he sys em is o iden i y he s uden who a e low in academics. The esea ch poin s ou ha LA is a
powe ul ool o ins i u ional moni o ing, i does no ully add ess s uden engagemen , mo i a ion, o eal- ime
collabo a ion. B idging his gap equi es pla o ms ha no only collec and in e p e da a bu also p esen i in ways
ha s uden s can use o e lec , compa e, and imp o e.
2.4. Louis Faucon, Jenni e Kai lyn Olsen, S ian Hakle , Pie e Dillenbou g (2020) Real-Time P edic ion o
S uden s’ Ac i i y P og ess and Comple ion Ra es
This esea ch ocuses on he design and deploymen o eal- ime p edic i e algo i hms ha es ima e s uden 's p og ess
and ac i i y comple ion a es in digi al lea ning en i onmen s. The pape acknowledges ha in online and combined
lea ning models, i is c ucial o educa o s o unde s and how s uden s engage wi h lea ning ac i i ies and whe he hey
a e on ack o comple ion.
The sys em in oduced in his s udy moni o s eal- ime in e ac ions and applies machine lea ning models o p edic
how a along a s uden is comple ing assigned asks. These p edic ions a e isualized o p o ide acul y membe s wi h
insigh in o s uden p og ess, allowing hem o adjus lea ning pa hs o p o ide guidance i necessa y.
The p edic i e aspec o his sys em is highly aluable o eal- ime class oom managemen and pe sonalized
ins uc ion. I helps in dynamically adjus ing con en deli e y, ensu ing ai p og ess ac oss s uden s, and enabling
mo e esponsi e eaching p ac ices. Howe e , he pla o m is p ima ily acul y- acing and lacks ea u es ha would
empowe s uden s di ec ly—such as in e ac i e dashboa ds, sha ed esou ces.
The absence o ea u es like collabo a i e ools, s uden engagemen analy ics, o compe i i e mo i a o s makes i less
sui able o mode n academic sys ems ha highligh bo h da a anspa ency and in e ac ion.
2.5. Compa ison Me ics:
Figu e 1 Compa ison o Accu acy o Exis ing Algo i hms and Models
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 538-542
541
The g aph compa es he assumed accu acy (%) o each model based on ea u es, eal- ime capabili ies, and he
pe o mance desc ibed in he espec i e pape s:
2.5.1. Ms. Nishu Se hi and D . Anshu Malho a. (2023) E iciency Engine: Designing and Implemen ing an Academic
Managemen Sys em. (65%):
This model o e s only basic s uden pe o mance acking wi hou eal- ime insigh s o coding p o ile da a. I lacks
ad anced analy ics and pe sonaliza ion, esul ing in lowe accu acy and limi ed p ac ical use in dynamic educa ional
en i onmen s.
2.5.2. Vedan Khope, Mayu S. Bannawade, Vedan S. Thawali, Sh a ani V. Mohod, D . Ni in R. Chopde. (2024) Enhancing
Educa ion: Real-Time T acking O S uden s' Lea ning Ou come And Academic P og ess Ac oss Ru al A ea Schools. (70%):
An imp o emen o e adi ional sys ems, his model in oduces sma acking ea u es bu s ill alls sho in e ms o
in eg a ing coding p o iles and p o iding de ailed s uden dashboa ds, which limi s i s o e all e ec i eness and
accu acy.
2.5.3. Aimad Qazda , Sa a Qassimi, Oussama Hassidi, Me iem Ha idi, El Hassan Abdelwahed, Yousse Melk (2022) Lea ning
Analy ics o S uden T acking P og ess in LMS. (75%):
The mos accu a e sys em among hose compa ed, i excels in analy ics, eal- ime dashboa ds, and pe o mance
acking. Howe e , he lack o coding pla o m in eg a ion sligh ly educes i s scope o echnical s uden e alua ion.
2.5.4. Louis Faucon, Jenni e Kai lyn Olsen, S ian Hakle , Pie e Dillenbou g (2020) Real-Time P edic ion o S uden s’
Ac i i y P og ess and Comple ion Ra es (72%):
Focused on p edic i e modeling wi h decen eal- ime capabili ies, his sys em pe o ms well bu lacks collabo a i e
ea u es like leade boa ds and acul y engagemen , which a e essen ial o holis ic pe o mance acking
Table 1 Compa ison Table
Au ho s
Ti le
Me hodology
Con ibu ion
Limi a ions
Ms. Nishu Se hi
and D . Anshu
Malho a
(2023)
E iciency Engine:
Designing and
Implemen ing an
Academic
Managemen
Sys em
De eloped an
academic
managemen sys em
o digi alize he
adminis a i e asks
and clus e s uden s
da a.
Fea u es include s uden
in o ma ion managemen ,
cou se egis a ion,
a endance acking,
academic eco d keeping
and acul y s uden
communica ion.
Lack o Real-Time
No i ica ions, No
Leade boa d
o Compe i i e
Mo i a ion
Vedan Khope,
Mayu S.
Bannawade,
Vedan S.
Thawali,
Sh a ani V.Mohod,
D . Ni in R.
Chopde (2024)
Enhancing
Educa ion: Real-
Time T acking o
S uden s Lea ning
Ou come and
Academic P og ess
Ac oss Ru al A ea
Schools
Designs a pla o m
using isualiza ion
ools and machine
lea ning o ack
s uden pe o mance
in u al schools.
P o ides s uden
pe o mance acking,
da a isualiza ion h ough
g aphs and dashboa ds,
a endance moni o ing
and machine lea ning
based p og ess analysis.
No No i ica ion
Sys em, No access
o acul y p o iles
and s udy
ma e ials
Aimad Qazda ,
Sa a Qassimi,
Oussama Hassidi,
Me iem Ha idi, El
Hassan
Abdelwahed,
Yousse Melk
(2022)
Lea ning Analy ics
o T acking
S uden
P og ess in LMS
Used lea ning
analy ics o ack
s uden p og ess in an
LMS using Key
Pe o mance
Indica o s
(KPIs) om cou se
in e ac ions.
Fea u es include KPI
based moni o ing o
s uden p og ess, LMS
da a collec ion o
insigh s, and iden i ying
s uden s who need
addi ional academic
suppo .
No s uden sel
analy ics ea u e,
Absence o pee
compa ison ools
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 538-542
542
Louis Faucon,
Jenni e Kai lyn
Olsen, S ian
Hakle , Pie e
Dillenbou g
(2020)
Real-Time
P edic ion o
S uden s Ac i i y
P og ess and
Comple ion Ra es
Uses eal- ime
es ima o s o p edic
s uden p og ess and
comple ion a es
du ing digi al lea ning
ac i i ies.
Focuses on p edic ing how
s uden s a e p og essing,
moni o ing hei ac i i ies
in eal- ime and helping
acul y decide he bes ime
o ansi ions be ween
ac i i ies.
Absence o
esou ce sha ing
ea u e ,Limi ed
S uden
engagemen .
3. Resea ch Gaps
The exis ing academic managemen and lea ning sys ems ha e se e al esea ch gaps ha make hem less e ec i e and
less engaging o use s. The sys em p oposed in "E iciency Engine: Designing and Implemen ing an Academic
Managemen Sys em" lacks eal- ime no i ica ions, making i di icul o deli e u gen upda es and announcemen s o
use s. Addi ionally, i o e s only basic s uden pe o mance acking wi hou in-dep h analy ics o isual
ep esen a ions, and ails o include ea u es like leade boa ds ha could mo i a e s uden s h ough compe i i e
compa ison. The pape on "Enhancing Educa ion: Real-Time T acking o S uden s' Lea ning Ou come and Academic
P og ess Ac oss Ru al A ea Schools" does no include a no i ica ion sys em, which is essen ial o seamless
communica ion, and has no access o acul y p o iles o ela ed s udy ma e ials, limi ing academic suppo o s uden s.
In "Lea ning Analy ics o T acking S uden P og ess in LMS", while pe o mance acking is implemen ed h ough KPIs,
he e is no ea u e o s uden s o sel -analyze hei p og ess o compa e hemsel es wi h pee s, which can be c ucial
o sel -imp o emen and mo i a ion. The pape on "Real-Time P edic ion o S uden s Ac i i y P og ess and Comple ion
Ra es" highligh s p edic ion-based engagemen models bu lacks a esou ce-sha ing ea u e and shows limi ed scope
o p omo ing ac i e s uden engagemen . Add essing hese gaps can lead o a mo e in e ac i e, and s uden -cen ic
academic pla o m.
4. Conclusion
Cu en academic managemen sys ems p o ide a ious ools o analysing he educa ion p ocesses, enhancing
adminis a i e e iciency, and isualizing lea ning da a. Academic managemen engines, p edic i e es ima o s, and
lea ning analy ics ha e imp o ed he abili y o ack s uden pe o mance and suppo ins i u ions in decision-making.
Howe e , mos exis ing sys ems lack in eg a ion be ween pe o mance acking, communica ion, and academic
esou ce sha ing. Fea u es such as eal- ime no i ica ions, dynamic dashboa ds, and s uden engagemen ools a e
ei he absen o limi ed. While hese sys ems ma k signi ican p og ess in educa ional echnology, hei limi a ions
highligh he need o mo e comp ehensi e, in e ac i e, and da a-d i en pla o ms ha align wi h he e ol ing demands
o mode n academia.
Compliance wi h e hical s anda ds
Disclosu e o con lic o in e es
No con lic o in e es o be disclosed.
Re e ences
[1] Nishu Se hi and Anshu Malho a, "E iciency Engine: Designing and Implemen ing an Academic Managemen
Sys em," In e na ional Jou nal o Inno a i e Resea ch in Enginee ing and Managemen (IJIREM), ol. 10, no. 3, pp.
115-120, 2023.
[2] Vedan Khope, Mayu S. Bannawade, Vedan S. Thawali, Sh a ani V. Mohod and Ni in R. Chopde, "Enhancing
Educa ion: Real-Time T acking o S uden s' Lea ning Ou come and Academic P og ess Ac oss Ru al A ea
Schools," In e na ional Resea ch Jou nal o Mode niza ion in Enginee ing, Technology and Science (IRJMETS), ol.
6, no. 4, pp. 7421-7424, 2024.
[3] Aimad Qazda , Sa a Qassimi, Oussama Hassidi, Ma iem Ha idi, Ei Hassan Abdelwahed and Yuse Melk, "Lea ning
Analy ics o T acking S uden P og ess in LMS," Resea chGa e, 2022
[4] Louis Faucon, Jenni e Kai lyn Olsen, S ain Hakle and Pie e Dillenbou g, "Real-Time P edic ion o S uden s’
Ac i i y P og ess and Comple ion Ra es," Jou nal o Lea ning Analy ics, ol. 7, no. 2, pp. 18-44, 2020.
