D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
238
In e na ional Jou nal o Medical
and Pha maceu ical Resea ch
Online ISSN-2958-3683 | P in ISSN-2958-3675
F equency: Bi-Mon hly
A ailable online on: h ps://ijmp .in/
O iginal A icle
Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and
Excel Au oma ion in Medical Educa ion
D . Sankalp1, D . Hanjabam Ba un Sha ma2, D . Thaku Nidhi*3, D . Ashish Kuma Gup a13
1Assis an P o esso , Dep . o Physiology, Spo s and exe cise labo a o y, 2nd loo , Dep o Physiology, Ins i u e o Medical
Sciences, Bana as Hindu Uni e si y, Au obindo Colony, Bhelupu , Va anasi, UP 221005
2Associa e P o esso , Physiology, Spo s and exe cise labo a o y, 2nd loo , Dep o Physiology, Ins i u e o Medical Sciences,
Bana as Hindu Uni e si y, Au obindo Colony, Bhelupu , Va anasi, UP 221005
3Assis an P o esso , Biochemis y, ESIC Medical College and Hospi al, Va anasi (U.P), India
4Assis an P o esso , Physiology, Ins i u e o Medical Sciences, Bana as Hindu Uni e si y, Lanka, Va anasi, UP 221005
A B S T R A C T
Co esponding Au ho :
D . Thaku Nidhi
Assis an P o esso ,
Biochemis y, ESIC Medical
College and Hospi al, Va anasi
(U.P), India
Recei ed: 14-10-2025
Accep ed: 29-10-2025
A ailable online: 12-11-2025
Backg ound: Mul iple-choice ques ions (MCQs) a e widely used in medical
educa ion due o hei e iciency in assessing a b oad ange o knowledge. Howe e ,
adi ional g ading o MCQs can be labo -in ensi e and p one o human e o ,
especially in la ge olumes. Wi h inc easing class sizes, he e is a g owing need o
mo e e icien and accu a e g ading sys ems.
Objec i e: This s udy e alua es he e ec i eness o in eg a ing oice- o- ex
echnology (VTT) and Excel au oma ion o enhance he e iciency and accu acy o
MCQ g ading in medical educa ion.
Me hods: A o al o 3,000 simula ed MCQs esponses we e e alua ed using bo h
manual and au oma ed me hods. VTT echnology was used o ansc ibe esponses,
which we e hen o ganized in o a able using a La ge Language Model (LLM) o
da a pa sing and s uc u ing and sco ed in Excel using au oma ion echniques. Two
e alua o s assessed he pape s, and ime aken, e o a es, e alua o a igue, and
sa is ac ion we e compa ed be ween me hods.
Resul s: The au oma ed me hod signi ican ly educed e alua ion ime o 45.9
minu es (0.76 man-hou s) compa ed o 194.82 minu es (3.25 man-hou s) o manual
e alua ion, wi h a simila high accu acy a e o 99.96% o bo h me hods. E alua o
a igue was lowe , and sa is ac ion was highe wi h he au oma ed me hod.
Conclusion: The in eg a ion o VTT echnology and Excel au oma ion signi ican ly
imp o es he e iciency o MCQ g ading while main aining high accu acy. This
app oach o e s a scalable, cos -e ec i e solu ion o medical educa ion se ings,
pa icula ly in esou ce-limi ed en i onmen s. Fu u e esea ch could expand his
me hod o o he ypes o assessmen s and explo e addi ional au oma ion ools o
u he enhance educa ional e alua ion p ocesses.
Copy igh © In e na ional Jou nal o
Medical and Pha maceu ical Resea ch
Keywo ds: MCQ E alua ion; Voice- o-Tex Technology; Excel Au oma ion;
Medical Educa ion Assessmen ; G ading E iciency
INTRODUCTION
Mul iple-choice ques ions (MCQs) a e a undamen al componen o assessmen in medical educa ion, widely used o hei
abili y o e icien ly es a b oad ange o knowledge (Haladyna, Downing, & Rod iguez, 2002). Despi e hei popula i y,
g ading MCQs, especially in la ge olumes, can be labo -in ensi e and suscep ible o human e o , po en ially impac ing
he eliabili y and alidi y o assessmen s (Schuwi h & an de Vleu en, 2011). Wi h inc easing class sizes and he need
o equen assessmen s, he e is a g owing demand o mo e e icien and accu a e g ading sys ems in medical educa ion
(Case & Swanson, 2002).
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
239
Technological ad ancemen s p o ide new oppo uni ies o add ess hese challenges. Tools like oice- o- ex so wa e and
Excel au oma ion ha e shown p omise in educing he wo kload associa ed wi h g ading while main aining, i no
enhancing, accu acy (Pea , 2000). Voice- o- ex echnology o e s a hands- ee way o en e da a, which, when combined
wi h Excel’s powe ul au oma ion capabili ies, can signi ican ly s eamline he g ading p ocess (Tobin, 1998). This s udy
explo es he e ec i eness o in eg a ing oice- o- ex and Excel au oma ion in he e alua ion o MCQs in a medical
educa ion se ing. The goal is o compa e he e iciency, accu acy, and e alua o sa is ac ion be ween adi ional manual
g ading and a echnologically enhanced au oma ed app oach.
Me hods
MCQ E alua ion P ocess
The s udy e alua ed a o al o 3,000 MCQs simula ing he heo y assessmen s o i s -yea MBBS s uden s in Physiology.
The MCQs we e dis ibu ed ac oss 300 exam shee s, wi h each shee con aining 10 MCQs, each ha ing ou op ions (A,
B, C, D). These exam shee s we e u he di ided in o 15 bundles, each comp ising 20 pape s. Each bundle was imed
sepa a ely o assess he p ocessing e iciency o he di e en e alua ion me hods—Voice- o-Tex (VTT) and manual.
As shown in Figu e 1, Du ing he VTT me hod, he e alua o ansc ibed each MCQ's esponse by e bally indica ing he
op ions as "Alpha," "B a o," "Cha lie," and "Del a" o a oid con usion du ing he oice- o- ex con e sion p ocess. The
se ial numbe s o he MCQ pape s we e ead sequen ially, ollowed by he chosen op ions o each ques ion. I a ques ion
was le unanswe ed o had mul iple answe s, he e m "Fun" was spoken. The VTT me hod was conduc ed i s o all 300
shee s o ansc ibe esponses and calcula e sco es using au oma ed p ocesses. A e comple ing he VTT e alua ion o all
shee s, he manual me hod was hen employed. Du ing he manual e alua ion, he o al sco e o each shee was eco ded
di ec ly on he shee a e sco ing all 10 MCQs, and his sco e was included in he p ocessing ime o each manual
e alua ion. Two e alua o s pa icipa ed in he assessmen s: E alua o 1 p ocessed se en bundles, while E alua o 2 handled
he emaining eigh bundles.
Technology and Tools Used
The eco ded ime o each me hod ep esen ed he du a ion equi ed o p ocess he MCQ shee s pe bundle. Fo he VTT
me hod, p ocessing ime included ansc ibing he esponses using Google Docs' oice- o- ex ea u e, se o "English
(Uni ed Kingdom)" wi h he "English (India)" a ian o ma ch he e alua o s' accen s. The in-buil lap op mic ophone was
used wi h op imized se ings o accu a e inpu . Dic a ion was conduc ed a a mode a e pace o cap u e each wo d co ec ly,
as speaking oo quickly o en led o incomple e o inaccu a e esponses. B ie pauses we e made be ween dic a ing answe s
o allow he so wa e ime o p ocess he inpu and educe e o s. A s opwa ch ea u e on an And oid phone was used o
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
240
accu a ely eco d he iming o each e alua ion ask. The p ocessing ime eco ded o he VTT me hod did no include
he calcula ion o ma ks, which equi ed subsequen s eps in Excel a e o ganizing he da a in o a able using a La ge
Language Model (LLM) o da a pa sing and s uc u ing.
The manual me hod’s p ocessing ime included immedia e sco ing o he MCQ shee s, bu simila o VTT, an addi ional
25 minu es was equi ed o manually en e hese sco es in o Excel, as shown in Table 1. This ime o da a ans e was
excluded om he o e all ime calcula ion o bo h me hods.
Table 1: Compa ison o S eps in Voice- o-Tex (VTT) and Manual MCQ E alua ion Me hods
S ep
VTT Me hod
Manual Me hod
1. Collec ion o MCQ
Shee s
Collec and o ganize MCQ shee s in o
bundles
Collec and o ganize MCQ shee s in o bundles
2. T ansc ip ion
Use Google Docs' oice- o- ex o ansc ibe
esponses
Di ec ly ead and ma k esponses on MCQ
shee s
3. E o Checking
Use keyboa d sho cu s o co ec ions
du ing ansc ip ion
Con inuous c oss-checking du ing manual
ma king
4. Da a Fo ma ing
Con e ex o Excel o ma using LLM
No applicable
5. Sco ing
Au oma ed sco ing using Excel o mulas
Manual sco ing wi h immedia e o al calcula ion
6. Da a En y in o Excel
Copy o ma ed da a in o Excel
Manually en e sco es in o Excel
7. Final Consis ency
Check
Ve i y en ies agains answe key; e iew
au oma ed sco es
Ve i y o al ma ks ma ch manual calcula ions
8. Time Requi ed pe
Bundle
Time eco ded o VTT p ocessing
(excluding Excel ans e ime)
Time eco ded o manual ma king and en y
(excluding Excel ans e ime)
E alua o Fa igue and Sa is ac ion Sco es
To assess he impac o each e alua ion me hod on e alua o well-being and p e e ence, a igue and sa is ac ion sco es
we e eco ded a e he comple ion o all bundles assigned o each e alua o . Fa igue was measu ed on a scale o 1 o 5,
wi h 1 indica ing no a igue and 5 indica ing ex eme a igue. Sa is ac ion was simila ly a ed om 1 o 5, wi h 1
ep esen ing low sa is ac ion and 5 ep esen ing high sa is ac ion. Each e alua o p o ided a a igue and sa is ac ion sco e
wice—once a e comple ing all he bundles using he VTT me hod and again a e comple ing all he bundles using he
manual me hod. These sco es we e collec ed o e alua e di e ences in a igue and sa is ac ion be ween he wo me hods,
as shown in Table 2.
Table 2: Time, Accu acy, and E alua o Expe ience Me ics o Voice- o-Tex (VTT) and Manual Me hods
Me ic
VTT Me hod
Manual Me hod
To al Time o 3000 MCQs (minu es)
45.9 (0.76 man-hou s)
194.82 (3.25 man-hou s)
A e age Time pe Shee (seconds)
9.18
38.96
To al E o s
12
13
E o Ra e
0.04
0.043
Accu acy (%)
99.96
99.96
E alua o Fa igue Sco e
3
4
Sa is ac ion Sco e
5
2
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
241
Command Used o LLM
The ollowing command was used o con e he Voice- o-Tex da a in o a able o ma sui able o Excel: "Please con e
he ollowing Voice- o-Tex da a in o a able o ma sui able o Excel. The da a includes he se ial numbe o each MCQ
pape ollowed by he esponses o en ques ions. Each esponse is indica ed by a keywo d: 'Alpha' o op ion A, 'B a o'
o op ion B, 'Cha lie' o op ion C, 'Del a' o op ion D, and 'Fun' o any unanswe ed o mul iple-ma ked ques ions.
O ganize his da a in o a able wi h he ollowing column heade s: 'Se ial No', 'Q1 Response', 'Q2 Response', 'Q3 Response',
'Q4 Response', 'Q5 Response', 'Q6 Response', 'Q7 Response', 'Q8 Response', 'Q9 Response', 'Q10 Response'. Ensu e each
ow s a s wi h he se ial numbe and includes he co esponding esponses in sepa a e columns."
P e-P ocessing P ocedu es
Calib a ion o Voice Typing: Sho p ac ice sessions we e conduc ed wi h each e alua o using he dic a ion ea u e o
help hem become accus omed o he sys em and o allow he so wa e o adap o hei unique oice pa e ns.
Noise Reduc ion Measu es: Dic a ion was pe o med in a quie oom o minimize backg ound noise and po en ial
dis ac ions. All o he backg ound applica ions on he compu e we e closed o educe sys em noise and enhance he
pe o mance o Google Docs' oice- o- ex ea u e. These s eps we e aken o ensu e op imal ansc ip ion accu acy.
E o -Checking P ocedu es
Real-Time Moni o ing: Real- ime moni o ing was employed du ing bo h VTT and manual me hods o ensu e accu acy.
Fo he VTT me hod, e alua o s used keyboa d sho cu s o quick co ec ions du ing dic a ion (e.g., C l + Z o undo, C l
+ Dele e o dele e he las wo d, En e o sepa a e new en ies). Au oma ed e o de ec ion ea u es, such as spell check and
g amma ools in Google Docs, we e disabled o p e en unnecessa y lagging o non-s anda d en ies as e o s. In he
manual me hod, e alua o s c oss-checked hei wo k con inuously o minimize human e o s due o o e sigh o a igue.
Pos -Dic a ion Re iew: A e p ocessing each bundle o MCQ shee s, addi ional e o -checking was pe o med. In he
VTT me hod, he ansc ibed esponses we e in e mi en ly compa ed agains he o iginal answe shee o key o e i y
accu acy and make necessa y adjus men s be o e o ganizing he da a in o a able using LLM o Excel sco ing. Fo he
manual me hod, e alua o s e iewed each ma ked shee be o e en e ing hei espec i e inal sco es in o Excel, ensu ing
ha he ma ks eco ded we e accu a e e lec ions o he answe s p o ided.
Consis ency Check: As depic ed in Figu e 2, cus om alida ion ules we e applied in Excel o iden i y en ies ha did no
ma ch he p ede ined answe op ions (A, B, C, D), highligh ing po en ial e o s be o e inal sco ing. Fo isual e i ica ion,
cells con aining "Alpha" we e ma ked ed, "B a o" as blue, "Cha lie" as g een, "Del a" as yellow, and "Fun" as black,
making i easie o spo any inco ec o missing en ies. In he VTT me hod, bo h he esponses eco ded and he ma ks
awa ded could be c oss- e i ied agains he o iginal MCQ shee s o ensu e accu acy. In con as , o he manual me hod,
only he o al ma ks awa ded could be compa ed o ensu e hey ma ched he calcula ed o als, wi hou e i ying each
indi idual esponse. This di e ence allowed a mo e de ailed consis ency check o he VTT me hod han o he manual
me hod.
Au oma ed Sco ing Sys em
A e copying he da a o he Excel shee , he esponses we e con e ed om "Alpha," "B a o," "Cha lie," and "Del a"
back o "A," "B," "C," and "D." An a ay o mula was used o ma ch each esponse agains he answe key and awa d
ma ks acco dingly. The second ow had column heade s wi h se ial numbe s, ollowed by Q1 o Q10 esponse columns.
Adjacen columns we e designa ed o ma ks awa ded o each ques ion and a o al ma ks column. The a ay o mula o
ma ch esponses was applied o all ows, and a sum unc ion was used o calcula e he o al ma ks o each MCQ pape .
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
242
E alua o T aining and Calib a ion
No o mal aining was p o ided, as he e alua o s we e al eady amilia wi h Google Docs and Excel. Howe e , a sho
p ac ice session was conduc ed o amilia ize hem wi h he oice- o- ex p ocess. No calib a ion was conduc ed, bu
e alua o s we e ins uc ed o e alua e pape s manually as quickly as possible, aking b eaks be ween bundles i needed.
S a is ical Analysis
A pai ed - es was conduc ed o compa e he ime aken o MCQ e alua ion be ween he Voice- o-Tex (VTT) and Manual
me hods, esul ing in a p- alue close o ze o, con i ming a highly signi ican di e ence a o ing he VTT me hod.
Co ela ion analysis e ealed a weak nega i e co ela ion o he Manual me hod (-0.2107) and a mode a e nega i e
co ela ion o he VTT me hod (-0.5391), indica ing ha ime in es men in VTT may educe e o s mo e e ec i ely, as
de ailed in Table 2.
Resul s
The s udy e alua ed 3,000 mul iple-choice ques ions (MCQs) using bo h manual and au oma ed me hods. The au oma ed
me hod (Voice- o-Tex , VTT) signi ican ly educed e alua ion ime o 45.9 minu es (0.76 man-hou s) compa ed o 194.82
minu es (3.25 man-hou s) o manual e alua ion, esul ing in an a e age ime pe pape o 9.18 seconds o VTT e sus
38.96 seconds o he manual me hod. Figu e 3 illus a es he subs an ial ime sa ings achie ed when using he VTT
me hod o MCQ e alua ion compa ed o he manual me hod, clea ly showing he e iciency ad an age o he VTT
app oach.
In e ms o e o s, he manual me hod esul ed in 13 e o s, leading o an e o a e o 0.043 pe pape and an accu acy o
99.96%, while he au oma ed me hod had 12 e o s, esul ing in an e o a e o 0.04 pe pape and an accu acy o 99.96%.
The dis ibu ion and con ibu ion o e o s om bo h me hods o he o al numbe o e o s obse ed a e depic ed in Figu e
4, which highligh s how each me hod con ibu ed o he o al e o s a he han displaying he e o a es in isola ion.
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
243
Figu e 5 p o ides a de ailed iew o he a e age ime aken pe MCQ pape ac oss di e en bundles, demons a ing ha
he VTT me hod consis en ly ou pe o med he manual me hod in e ms o ime e iciency pe pape . This line cha shows
a clea end a o ing he au oma ed me hod ac oss all bundles e alua ed.
Fu he analysis using sca e plo s e ealed insigh s in o he ela ionship be ween ime aken and e o s in bo h me hods.
Figu e 6 displays he co ela ion be ween ime aken and he numbe o e o s using he VTT me hod, showing ha he
numbe o e o s does no signi ican ly inc ease wi h he ime aken, sugges ing he eliabili y o he VTT me hod o e
a ying ime spans.
In con as , Figu e 7 illus a es he e o s e sus ime aken in he manual me hod, indica ing a po en ial inc ease in e o s
as mo e ime is spen on e alua ion, possibly due o e alua o a igue o inconsis encies.
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
244
E alua o a igue and sa is ac ion we e also assessed o bo h me hods. E alua o a igue was lowe wi h he VTT me hod,
sco ing 3 ou o 5, compa ed o 4 o he manual me hod, and e alua o sa is ac ion was highe wi h he VTT me hod,
sco ing 5 ou o 5, e sus 2 o he manual me hod. These sco es a e de ailed in Table 2, which p o ides a comp ehensi e
compa ison o ime, accu acy, and e alua o expe ience me ics o bo h me hods.
Table 3 u he b eaks down he ime, e o s, and pe o mance me ics ac oss 15 bundles o 200 MCQs each, compa ing
he VTT and manual e alua ion me hods. This able gi es a comp ehensi e o e iew o he ime aken pe bundle, e o
a es, a e age ime pe MCQ pape , and e alua o dis ibu ion, allowing o a de ailed compa ison o bo h me hods.
Table 3: Compa ison o Time, E o s, and E alua o Pe o mance in MCQ E alua ion Me hods
Bundle #
MCQs
pe
Bundle
Time
(mins)
-
Voice-
o-Tex
Time
(mins) -
Manual
E o s
(Response
No
Reco ded)
(Voice- o-
Tex )
E o s in
Responses
(Manual)
A e age
Time pe
MCQ
Pape
(Voice- o-
Tex )
(mins)
A e age
Time pe
MCQ
Pape
Manual
(secs)
E alua o
(1 o 2)
1
200
2.23
12.34
2
1
0.617
37.02
1
2
200
3.91
12.67
1
3
0.6335
38.01
1
3
200
3.45
14.23
0
1
0.7115
42.69
1
4
200
4.11
12.89
0
0
0.6445
38.67
1
5
200
2.67
11.52
1
2
0.576
34.56
1
6
200
2.78
14.13
1
1
0.7065
42.39
2
7
200
2.33
10.89
1
0
0.5445
32.67
2
8
200
2.9
11.73
1
0
0.5865
35.19
2
9
200
3.12
13.37
0
1
0.6685
40.11
2
10
200
2.88
15.1
0
3
0.755
45.3
2
11
200
3.34
13.5
0
1
0.675
40.5
2
12
200
3.11
13.75
1
2
0.6875
41.25
2
13
200
2.95
12.21
0
1
0.6105
36.63
2
14
200
3.01
12.75
2
1
0.6375
38.25
2
15
200
2.42
15.1
2
0
0.755
45.3
2
To al
3000
45.9
194.82
12
13
-
-
-
Discussion
E o Analysis
The e alua ion p ocess highligh ed dis inc ypes o e o s be ween he manual and au oma ed (Voice- o-Tex and Excel
au oma ion) me hods. In he manual me hod, e o s we e o en due o human o e sigh , such as ma king co ec esponses
as inco ec o ice e sa, e en when o he esponses in he sequence we e accu a ely ma ked (Figu e 7) and Table 3. This
aligns wi h indings om p e ious s udies ha emphasize human e o in manual g ading due o a igue o dis ac ion
(Haladyna, Downing, & Rod iguez, 2002). In con as , e o s in he Voice- o-Tex (VTT) me hod we e p ima ily echnical,
such as incomple e eco dings whe e only 9 esponses we e cap u ed ins ead o 10, as depic ed in Figu e 6 and Table 3.
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
245
Issues wi h Google Docs o LLM occasionally necessi a ed e eshing he page o dealing wi h in e ne connec i i y
p oblems, which is consis en wi h challenges no ed in he use o au oma ed sys ems (Pea , 2000). Addi ionally, he e we e
ins ances whe e LLM p o ided ou pu s in o ma s o he han he eques ed able, equi ing u he co ec ions. Figu e 4
illus a es he dis ibu ion o e o s be ween he VTT and manual me hods, highligh ing ha while he ypes o e o s di e ,
bo h me hods con ibu ed o he o e all e o coun . These echnical e o s highligh he po en ial o imp o ing he
eliabili y o au oma ed sys ems wi h be e calib a ion and e o -checking p o ocols.
In e p e a ion o Findings
The use o mul iple-choice ques ions (MCQs) is a s anda d p ac ice in heo y examina ions ac oss all subjec s in medical
colleges (Schuwi h & an de Vleu en, 2011). Howe e , many ins i u ions ace limi a ions such as insu icien s a ing
and lack o ad anced g ading echnologies like Op ical Ma k Recogni ion (OMR) shee s and scanne s. This is pa icula ly
challenging when he numbe o MCQ shee s pe subjec anges om 200 o 500, as shown in Table 1 and Figu e 5, which
illus a e he ex ensi e ime and e o a es associa ed wi h manual g ading me hods.. The au oma ed Voice- o-Tex and
Excel me hod o e s a p ac ical and cos -e ec i e al e na i e, equi ing minimal in as uc u e, making i highly accessible
e en in esou ce-cons ained se ings. This app oach also allows o he digi al sha ing o ma ked esponses, enhancing
anspa ency and p o iding a aluable esou ce o pos -examina ion e iew. The adop ion o such echnology can alle ia e
some o he bu dens aced by educa ional ins i u ions wi h limi ed esou ces, imp o ing bo h accu acy and e iciency (Case
& Swanson, 2002). Figu e 3 and Table 2 clea ly demons a e he signi ican educ ion in ime and e alua o a igue
achie ed wi h he VTT me hod compa ed o manual g ading, u he suppo ing i s use in educa ional se ings.
Compa ison wi h P e ious S udies
A e iew o he li e a u e indica es limi ed esea ch on using oice- o- ex and Excel au oma ion o MCQ e alua ion in
medical educa ion. Cu en echnologies like Op ical Cha ac e Recogni ion (OCR) a e widely used o g ading MCQs bu
necessi a e OMR shee s and specialized scanne s, which a e no easible in all se ings (B own e al., 1999). The Voice- o-
Tex and Excel me hod, by con as , does no equi e addi ional ma e ials o equipmen beyond a s anda d compu e and
in e ne access. This simplici y makes i a e sa ile ool sui able o di e se educa ional en i onmen s, especially hose
wi h limi ed esou ces. Figu e 2 p o ides a isual ep esen a ion o he e o -checking se up in Excel o he VTT me hod,
illus a ing i s s aigh o wa d implemen a ion compa ed o mo e complex OCR sys ems. The absence o s udies di ec ly
compa ing hese me hods unde sco es he inno a ion o his app oach, sugges ing a p omising a ea o u he esea ch and
de elopmen in educa ional assessmen s.
By add essing bo h he logis ical and echnical challenges associa ed wi h adi ional MCQ g ading me hods, his s udy
demons a es he po en ial o in eg a ing accessible echnologies o s eamline he assessmen p ocess and educe human
e o , con ibu ing signi ican ly o he ield o medical educa ion.
Challenges
This s udy aced a ew mino challenges. A quie en i onmen was p e e ed o op imal dic a ion accu acy, bu his can
easily be a anged in mos se ings. The ee e sion o LLM has esponse limi s, bu upg ading o a paid subsc ip ion can
easily o e come his o la ge da ase s. We did no explo e a ia ions in esul s based on ac o s like e alua o expe ience,
hough his is unlikely o signi ican ly impac he o e all indings. While e alua o s we e awa e o being imed, which
migh ha e in oduced a sligh bias, hei na u al pace can be main ained wi h minimal in luence. Technical challenges,
such as occasional dic a ion e o s and Excel’s limi a ions, a e manageable and do no signi ican ly hinde he b oade
applica ion o hese me hods.
Conclusion
In eg a ing oice- o- ex echnology and Excel au oma ion in MCQ e alua ion signi ican ly imp o es e iciency and
main ains high accu acy. This app oach o e s he po en ial o enhanced e o de ec ion and co ec ion wi hou he
limi a ions o human a igue, making i a aluable ool o medical educa ion. The abili y o s eamline he e alua ion
p ocess while educing e o s p o ides a eliable and scalable solu ion ha can adap o a ious educa ional en i onmen s.
Fu u e Di ec ions
Fu u e esea ch could explo e he in eg a ion o scanning echnology o au oma e he g ading o handw i en o p in ed
MCQ pape s, using AI ools like LLM o e alua e image-based assessmen s o con e scanned pape s in o a s uc u ed
able o ma . Addi ionally, expanding his me hod o o he ypes o assessmen s beyond MCQs could be aluable, gi en
i s simplici y and imp o ed e icacy. Fu he s udies could in es iga e he use o di e en au oma ion ools and echnologies
o enhance he e sa ili y and applicabili y o his app oach ac oss a ious educa ional se ings and subjec s.
Con lic o In e es S a emen : The au ho s decla e no con lic s o in e es ela ed o his s udy.
Funding: This esea ch did no ecei e any speci ic g an om unding agencies in he public, comme cial, o no - o -
p o i sec o s.
D . Sankalp e al. Enhancing E iciency in MCQ E alua ion: In eg a ing Voice- o-Tex and Excel Au oma ion in
Medical Educa ion. In . J Med. Pha m. Res., 6 (6): 238‐246, 2025
246
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