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THE IMPACT OF COMPUTER-AIDED ASSESSMENT IN LANGUAGE
TEACHING AT THE UNIVERSITY
Obidjonova Shokhista Bakhtiyorovna
University of Exact and Social Science Foreign Languages Faculty
master’s degree student, Tashkent, Uzbekistan.
shohistabaxtiyorovna91@gmail.com
Phone number: +998979900503
Annotation:
This is quite a narrow research objective that is focused on
the benefits and challenges regarding the Computer-Aided Assessment, and how it
impacts the students’ knowledge at the University. The field of education is constantly
changing, and it has come to a stage where technology has been incorporated into
teaching. One of the most important changes is the development of the Computer Aided
Assessment (CAA), which uses technology to assess the students ‘learning. This article
tries to study the effectiveness of CAA in language teaching and analyze its effects on
students learning, educational practices, as well as the general participation of students
in the educational process. Most of the foreign language classes taught at the Andijan
branch of Kokand University in Uzbekistan were recorded for study purposes. A
number of barriers concerning the use of modern technology in these lessons were
discovered. Among such challenges were technical issues, insufficient computers or
other devices, and the students’ associated lack of knowledge. Some teachers who
participated in the classroom technology integration were interviewed for the purpose
of understanding the design challenges. The investigators made with the impression
that the teachers, despite challenges in implementing technology into teaching in these
classes, had an overall positive attitude toward technology integration.
Keywords:
CAA,
immediate feedback, grading mechanisms, multiple-
choice questions, fill-in-the-blanks, technical problems.
Annotatsiya:
Tadqiqot universitetda talabalar bilimini baholashda
kompyuter yordamida baholashni o'tkazishning afzalliklari va muammolarini
o'rganishga qaratilgan. Tez rivojlanayotgan ta'lim landshaftida texnologiya
integratsiyasi an'anaviy o'qitish metodologiyasini o'zgartirdi. Muhim yutuqlardan biri
bu o'quvchilarning o'qishini baholash uchun raqamli vositalar bo'lgan kompyuter
yordamida baholash (KYB) ning paydo bo'lishidir. Maqolada til o‘rgatishda kompyuter
yordamida baholash samaradorligi o‘rganiladi, uning ta’lim natijalariga, talabalarning
faolligiga va umumiy ta’lim amaliyotiga ta’siri o‘rganiladi. Tadqiqot Qo‘qon
universitetining O‘zbekistondagi Andijon filialida bir qator chet tili darslarini kuzatish
bilan yakunlandi. Tadqiqot ushbu guruhlarda kompyuterda baholashga to'sqinlik
qiladigan ba'zi qiyinchiliklarni aniqladi. Bunday qiyinchiliklar texnik muammolar,
kompyuter va boshqa qurilmalarning yetishmasligi va talabalarning texnik
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bilimlarining yetishmasligi edi. Guruhda texnologiyani joriy etish bo’yicha va
qiyinchiliklarning sabablarini so'rash maqsadida darsni kuzatgan o'qituvchilarning
ayrimlari bilan suhbat o'tkazildi. Tadqiqot shuni ko'rsatdiki, qiyinchiliklarga qaramay,
o'qituvchilar o'qitish jarayonini yengillashtirish uchun texnologiyadan foydalanish
bo'yicha ijobiy fikrga ega.
Kalit so'zlar:
kompyuter yordamida baholash, tezkor fikr-mulohazalar,
baholash mexanizmlari, ko'p tanlovli savollar, bo'sh joylarni to'ldirish, texnik
muammolar.
Computer-Aided Assessment, or CAA system, is being explored in the
context of non-examination assessment approaches to teaching a foreign language in
universities and presents an alternative or a complement to traditional forms of
assessment therapy. Like with many other new technologies, CAA’s efficiency and
objectivity with regards to the technological benefits claimed for it are not adequately
supported with evidence regarding student learning outcomes. This study focuses on
the consequences of using CAA systems in a university setting on students’
performance and perceptions in language classes with the intention of exploring its
impact. We hope to contribute to understanding CAA’s effectiveness on language
learning and pertinent assessment in students’ learning.
Language assessment practices based on traditional methods with a paper
test, at best, and face-to-face interview, through multiple-choice questions administered
without substantial examiner insight, suffer a great deal from various limitations. These
problems include a drawn-out marking process, rater subjectivity, and narrow scope
assessment where all the skills—including speaking and listening—cannot be
captured. With CAA comes a technological solution to the marking machine problems
through automated marking and objective scoring of certain tasks, as well as more
flexible assessment approaches. Aside from CAA presentation as a solutions basket,
there lies the potential problem of authenticity, technical problems, and the scope of
pedagogical design required for CAA tasks. This study addresses these concerns by
examining the real-world application and impact of CAA in a specific university
setting.
The main purpose of this research is to evaluate the effectiveness of CAA
in improving student performance on language proficiency tests compared to
traditional assessment methods and investigate student perceptions and attitudes
towards CAA in language learning. As well, identify factors that contribute to the
success or failure of CAA implementation in a university language program.
Douglas Chalmers and Dr. W. D. M. McAusland state that, “computer-
assisted assessment (CAA) is concerned with the use of computers for the assessment
of students progress.” Chalmers goes on to explain that, “the assessment may take one
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of two forms: there may be a printed paper test where students indicate their answers
which are then automatically processed by an optical mark reader, or students may
enter their answers directly into a computer terminal”[1]. There are numerous
arguments that can be put forward regarding the significance of computer-assisted
assessment in considering tests, including serving the students through formative
assessments, grading students through summative assessments, conducting regular
evaluations, and monitoring the effectiveness of the current teaching and learning
strategies. In the words of Ruslan Suvorov and Volker Hegelheimer, “computer-
assisted language testing is an assessment category dealing with technology and
computer application in the construction, administration, scoring, prompting, and
evaluation of performance in a second language test.”[2]
Unlike the traditional classroom, the computer-assisted classroom context
allows innovation when assessing students’ language proficiency skills. As Bahari
states, the following assessment types are applicable within the context of computer-
assisted language learning:
Game-based assessment: This assessment involves an assessment in motion
using in-game activities. Using game-based assessment enables us to draw conclusions
about certain skills.
The computer-assisted diagnostic assessment offers the tester adequate
time within the test session to be provided with feedback while the items are still fresh.
[3]
Peer assessment engages learners by enabling them to assess and give feedback
on the competence, participation, and performance of peers. Peer assessment is of value
to the learner as well as the peer, thus promoting the use of constructive feedback
during the learning process [4].
Involvement of learners in decision making regarding the assessment of
their competence, participation and performance results to self-assessment. Self-
assessment facilitates the relationship between the teacher and learner by allowing the
teacher to control the learning process through the feedback given by the learner [5].
In this regard, self-assessment helps the learners to understand the conditions and
criteria that must be fulfilled to demonstrate competent mastery of some aspects of
language.
This research will utilize key theories related to assessment and the
integration of technology in education. It will particularly focus on formative
assessment, which involves using assessment data to guide teaching and support
student learning, and the Technology Acceptance Model (TAM), which explores what
influences individuals to accept and use new technologies. These theoretical
foundations will help interpret data on student achievement and perceptions of
computer-assisted assessment (CAA). The use of CAA in language learning also
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reflects major educational theories. According to constructivism, learners build
knowledge through experience and interaction, which CAA supports through dynamic
and engaging assessments. Furthermore, behaviorist theory, which highlights the role
of reinforcement in learning, is evident in CAA’s immediate feedback that encourages
correct answers and helps address learning gaps.
This study adopts a mixed-methods approach, integrating both
quantitative and qualitative research methods. On the quantitative side, the researcher
compares the academic performance of two groups of KUAF university students: one
evaluated through Computer-Aided Assessment (CAA) and the other through
traditional assessment techniques. Statistical analysis will be used to identify any
significant differences between the two groups. For the qualitative part, interviews are
conducted with university instructors to gain deeper insights into their experiences with
CAA. For instance, semi-structured interviews explore how CAA tools have influenced
their teaching practices and reveal various challenges. By combining these two
methods, the research aims to provide a well-rounded and detailed understanding of
CAA. The qualitative component also includes student surveys and focus groups to
capture their views and experiences with CAA, enriching the analysis of its effects on
both teaching
Implementing an effective CAA system in classrooms can offer
numerous advantages. One of the main benefits is the ability to evaluate a wide range
of topics efficiently, significantly reducing the time instructors spend on grading.
Unlike traditional methods where assessments are evaluated after a fixed period, CAA
streamlines this process and saves both time and resources. It also enables more
frequent assessments, allowing teachers to monitor student progress more regularly and
provide timely support. Tools like Google Forms can be especially useful when other
learning platforms are unavailable.
For students, CAA offers the advantage of immediate feedback
following formative assessments promoting self-paced learning and helping them track
their own progress. Additionally, this method may positively shift students’
perceptions of assessment, potentially enhancing their learning outcomes as they
engage more meaningfully with external feedback. According to G. Brown, J. Bull,
and M. Pendlebury, effective feedback should be clear, timely, specific, and actionable
to foster improvement. Moreover, using CAA with larger student groups helps save
time and reduces printing costs, especially when updates are made to the assessments.
Automated statistical analysis also speeds up the evaluation process. Integration with
existing university management and information systems further enhances efficiency.
Despite its advantages, CAA comes with certain limitations. Developing
high-quality objective tests requires trained staff and a significant initial time
investment. Poorly designed questions may result in surface-level learning. Although
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it's possible to assess higher-order thinking through CAA, doing so demands more time
and careful planning to ensure quality.
Another challenge is the limited availability of computer labs, particularly
in rural or under-resourced areas. Power outages and internet disruptions can also
interrupt assessments, causing additional stress. Students accustomed to traditional
paper-based exams may feel anxious or uncomfortable with computer-based formats.
Douglas Chalmers advises having backup machines available during CAA sessions
under exam conditions. If a student’s computer crashes within 15 minutes, they should
be moved to a spare device. If the issue persists beyond that, offering a paper version
of the assessment is recommended.
In conclusion, the influence of computer-based assessment is a key topic
in the 21st-century digital era. This is due to the ongoing shift toward digital systems
in education, mirroring trends in other sectors. For instance, platforms like Hemis are
used in higher education institutions for managing academic records, while
Kundalik.com is widely used in secondary schools. The implementation of computer-
aided assessments enhances educational outcomes and offers significant advantages.
As such, computer-based assessment is viewed as a promising direction for the future
of education. As previously discussed, the research draws on relevant theories related
to assessment and the integration of technology in education, particularly focusing on
formative and summative approaches that use assessment data to guide instruction and
support student learning.
References
1.
Douglas Chalmers. Computer-Assisted Assessment. – Caledonian
University press: Glasgow, 2004. – 2-9 p.
2.
Ruslan Suvorov, Volker Hegelheimer. Computer-assisted Language
Teaching. – Western University Press: Cambridge, 2024. – 637-641 p.
3.
Akbar Bahari. Computer-assisted language proficiency assessment tools
and strategies // Open Learning: The Journal of Open, Distance and e-Learning, 35(4),
– Oxford, 2020. – 3-5 p.
4.
G. Brown, J. Bul. Using Computers in Assessment. – Routledge: London,
1997. – 20-21 p.
5.
G. Conole, B. Warburton. A review of computer-assisted assessment //
Assessment and Evaluation in Higher Education 13(1) , – United States, 2005. – 19-22
p.
6.
Mamatova, F. M. The Process of Conceptualization as a Basis for
Categorization. International Journal on Integrated Education.
7.
Mamatova, F. (2021). Cross-Cultural Analysis: Representation of Some
Aspects of a Parent-Child Relationship (on the Examples of English and Uzbek
Proverbs). In SHS Web of Conferences (Vol. 100, p. 02008). EDP Sciences.
