The mode of assessment is one of the most important factors influencing learning as it affects how students organize their time and what subjects they focus on. It is well known fact that students may exhibit different abilities in different forms of assessment. In this paper, we show how e-assessment with the Halomda educational platform can enhance students’ learning experiences. In addition, we present how technology-assisted math education can help students study at home and in the classroom, as well as support teachers in their routine work of checking student assignments. Results from teaching courses with Halomda demonstrate not only high student learning outcomes on the final exam, but also a good correlation between exam marks and weekly assignment marks.

Topics
Students, Learning and learning models, Educational assessment, Educational facilities, Educational program, Teaching
2.
J.
Biggs
 and
C.
Tang
 (
2007
).
Teaching for Quality Learning at University: What the student does
. 3rd ed.
Maidenhead
:
McGraw-Hill
.
Google Scholar
 
3.
G.
Brown
,
J.
Bull
, and
M.
Pendlebury
 (
1997
).
Assessing student learning in higher education
.
London
:
Routledge
.
Google Scholar
 
4.
R.
De Villiers
,
J.
Scott-Kennel
, and
R.
Larke
 (
2016
).
Principles of effective e-assessment: A proposed framework
.
Journal of International Business Education
,
11
,
65
–
92
.
Google Scholar
 
5.
M.
Greenhow
 (
2019
).
Embedding e-assessment in an effective way.
MSOR Connections
17
(
3
) – journals.gre.ac.uk.
https://doi.org/10.21100/msor.v17i3.992
Google Scholar
 
6.
U.
Stödberg
 (
2012
).
A research review of e-Assessment
.
Assessment and Evaluation in Higher Education
,
37
(
5
), pp.
591
–
604
.
https://doi.org/10.1080/02602938.2011.557496
Google Scholar
Crossref
Search ADS
 
7.
P.
Drijvers
 (
2018
).
Digital assessment of mathematics: Opportunities, issues and criteria
.
Mesure et évaluation en éducation
,
41
(
1
),
41
–
66
.
https://doi.org/10.7202/1055896ar
.
Google Scholar
Crossref
Search ADS
 
8.
H.
Mellar
,
R.
Peytcheva-Forsyth
,
S.
Kocdar
,
A.
Karadeniz
 and
B.
Yovkova
.
Addressing cheating in e-assessment using student authentication and authorship checking systems: teachers’ perspectives
.
Int. J. for Educational Integrity
(
2018
)
14
:
2
. DOI
https://doi.org/10.1007/s40979-018-0025-x
.
Google Scholar
 
9.
R.
Peytcheva-Forsyth
,
L.
Aleksieva
, and
B.
Yovkova
.
The Impact of Technology on Cheating and Plagiarism in the Assessment – the teachers’ and students’ perspectives
. :
AIP Conference Proceedings
2048
,
020037
(
2018
).
https://doi.org/10.1063/1.5082055
.
Google Scholar
Crossref
Search ADS
 
10.
J.
Dermo
 (
2009
).
E-assessment and the student learning experience: A survey of student perceptions of e-assessment.
British Journal of Educational Technology
,
40
(
2
),
203
–
214
.
https://doi.org/10.1111/j.1467-8535.2008.00915.x
.
Google Scholar
Crossref
Search ADS
 
11.
S.
Kocdar
,
A.
Karadeniz
,
R.
Peytcheva-Forsyth
, and
V.
Stoeva
.
Cheating and Plagiarism in E-Assessment: Students’ Perspectives
.
Open Praxis
, vol.
10
issue
3
, July–September
2018
, pp.
221
–
235
(ISSN 2304-070X).
https://doi.org/10.5944/openpraxis.10.3.873
Google Scholar
Crossref
Search ADS
 
12.
M. E.
Rodríguez
,
A.-E.
Guerrero-Roldán
,
D.
Baneres
, and
I.
Noguera
,
Students’ Perceptions of and Behaviors Toward Cheating in Online Education.
IEEE Revista Iberoamericana De Tecnologias Del Aprendizaje
, v.
16
, no.
2
, May
2021
.
https://doi.org/10.1109/RITA.2021.3089925
Google Scholar
 
13.
A.
Vegendla
 and
G.
Sindre
 (
2019
).
Mitigation of Cheating in Online Exams: Strengths and Limitations of Biometric Authentication
.
Biometric Authentication in Online Learning Environments.
DOI:
https://doi.org/10.4018/978-1-5225-7724-9.ch003
.
Google Scholar
 
14.
K. M.
Apampa
,
G.
Wills
, and
D.
Argles
 (
2011
).
Towards a blob-based presence verification system in summative e-assessments
.
International Journal of e-Assessment
,
1
(
1
).
Google Scholar
 
15.
J. M.
Bartley
 (
2005
).
Assessment is as assessment does: A conceptual framework for understanding online assessment and measurement
.
In Online assessment and measurement: Foundations and challenges
(pp.
1
–
45
). IGI Global.
Google Scholar
 
16.
M.
Ivanova
,
S.
Bhattacharjee
,
S.
Marcel
,
A.
Rozeva
, and
M.
Durcheva
. Enhancing Trust in eAssessment - the TeSLA System Solution”,
21st Conf. on e-assessment (TEA2018)10-11 Dec 2018, Amsterdam, The Netherlands, Conf. Proc
.: https://www.teaconference.org/. arXiv:1905.04985.
17.
M.
Durcheva
,
I.
Pandiev
,
E.
Halova
,
N.
Kojuharova
, and
A.
Rozeva
.
Innovations in teaching and assessment of engineering courses, supported by authentication and authorship analysis system
,
the 45th conference AMEE'19
,
AIP Conf. Proc.
2172
,
040004
(
2019
);
https://doi.org/10.1063/1.5133514
. Published Online: 13 Nov
2019
.
Google Scholar
Crossref
Search ADS
 
18.
P.
Lapeña-Mañero
,
C.
García-Casuso
,
J. M.
Montenegro-Cooper
,
R. W.
King
, and
E. M.
Behrens
 (
2022
).
An Open-Source System for Generating and Computer Grading Traditional Non-Coding Assignments
.
Electronics
2022
,
11
,
917
.
https://doi.org/10.3390/electronics11060917
.
Google Scholar
Crossref
Search ADS
 
20.
WebAssign. https://webassign.com.
23.
C. J.
Sangwin
 (
2004
).
Assessing mathematics automatically using computer algebra and the internet
.
Teaching mathematics and its applications
,
23
(
1
), pp.
1
–
14
.
https://doi.org/10.1093/teamat/23.1.1
Google Scholar
Crossref
Search ADS
 
24.
C. J.
Sangwin
 (
2013
). Computer Aided Assessment of Mathematics.
Oxford
:
Oxford University Press
.
25.
D.
Serhan
 and
F.
Almeqdadi
 (
2020
).
Students’ perceptions of using MyMathLab and WebAssign in mathematics classroom
.
International Journal of Technology in Education and Science (IJTES)
,
4
(
1
),
12
–
17
.
https://doi.org/10.46328/ijtes.v4i1.23
Google Scholar
Crossref
Search ADS
 
26.
A. G.
d'Entremont
,
P. J.
Walls
, and
P. A.
Cripton
.
Student Feedback and Problem Development for WeBWorK in a Second-Year Mechanical Engineering Program
.
Proc. 2017 Canadian Engineering Education Association (CEEA17) Conf.
27.
C. Perfect
(
2015
).
A demonstration of Numbas, an assessment system for mathematical disciplines
. https://www.numbas.org.uk/wp-content/uploads/2015/07/caa2015_numbas.pdf.
28.
V.
Challis
,
R.
Cook
, and
P.
Anand
 (
2021
).
Priming Numbas for formative assessment in a first-year mathematics unit
. In
Gregory
,
S.
,
Warburton
,
S.
 &
Schier
,
M.
 (Eds.),
Back to the Future – ASCILITE ‘21
.
Proc. ASCILITE 2021 in Armidale
(pp.
313
–
318
).
https://doi.org/10.14742/ascilite2021.0145
.
Google Scholar
Crossref
Search ADS
 
29.
Halomda. https://halomda.org.
30.
S.
Kornstein
,
Xpress Formula Editor and Symbolic Calculator
,
Mathematics Teacher
, V.
94
No.
5
May
2001
.
Google Scholar
 
31.
P.
Slobodsky
,
A.
Ocheretovy
,
E.
Roiz
, and
A.
Shtarkman
.
Using the Universal Math Environment “Math-XPress” for teaching and assessment of math courses
.
J. Mathematics in Computer Science
(
2018
) pp.
1
–
14
.
Google Scholar
 
32.
P.
Slobodsky
,
A.
Shtarkman
 and
A.
Kouropatov
.
The implementation of e-training and e-assessment system Math-Xpres in development and practical use of math courses at teachers colleges in Israel during the Corona times
. Unpublished communication.
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