The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Advantages and Challenges of Using e-Assessment
Open accessAbstract
Information and communication technology (ICT) has been involved in different sectors.ICT has an impact to improve learning environment and process.With the increasing number of students and the limitation of placement, a new innovation in learning is required.Thus, E-learning and E-assessment have been introduced, to offer online courses and electronic assessment.E-assessment enables the students live in remote areas to have the test in their homes, and helps the teacher to correct the exam and release the marks in short time.This paper explains the meaning of E-assessment from different opinions and illustrates the cycle of E-assessment process.Moreover, this paper discusses the advantages and obstacles of using E-assessment in learning for different domains: student, teacher, institution, and in education aims.
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Cites
Online formative assessment in higher education: A review of the literature
Gikandi, J. W., Morrow, D., & Davis, N. E. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.004 · Cited by 1,260
Skinner, B. F. (1958) · Science · doi:10.1126/science.128.3330.969 · Cited by 753
AMEE Guide 32: e-Learning in medical education Part 1: Learning, teaching and assessment
Ellaway, R., & Masters, K. (2008) · Medical Teacher · doi:10.1080/01421590802108331 · Cited by 652
Literature Review of E-assessment
Ridgway, J., McCusker, S., & Pead, D. (2004) · Durham Research Online (Durham University) · Cited by 137
e‐Assessment for learning? The potential of short‐answer free‐text questions with tailored feedback
Jordan, S., & Mitchell, T. (2009) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2008.00928.x · Cited by 136
Williams, J. B., & Wong, A. (2009) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2008.00929.x · Cited by 136
Blended e-assessment: Migrating classical exams to the digital world
Llamas-Nistal, M., Fernández-Iglesias, M. J., González-Tato, J., & Mikic-Fonte, F. A. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.021 · Cited by 125
Marriott, P. (2009) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2008.00924.x · Cited by 112
Online Course Evaluations: Faculty Perspective and Strategies for Improved Response Rates
Crews, T. B., & Curtis, D. F. (2010) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2010.493970 · Cited by 103
Synthesis report on assessment and feedback with technology enhancement
Gilbert, L. H., Whitelock, D. M., & Gale, V. (2011) · ePrints Soton (University of Southampton) · Cited by 72
Cited by
Sahu, P. (2020) · Cureus · doi:10.7759/cureus.7541 · Cited by 2,353
Elsalem, L., Al-Azzam, N., Jum'ah, A. A., Obeidat, N., Sindiani, A. M., & Kheirallah, K. A. (2020) · Annals of Medicine and Surgery · doi:10.1016/j.amsu.2020.10.058 · Cited by 264
Automatic question generation and answer assessment: a survey
Das, B., Majumder, M., Phadikar, S., & Sekh, A. A. (2021) · Research and Practice in Technology Enhanced Learning · doi:10.1186/s41039-021-00151-1 · Cited by 123
Hahn, M. G., Navarro, S. M. B., De La Fuente Valentin, L., & Burgos, D. (2021) · IEEE Access · doi:10.1109/access.2021.3100890 · Cited by 111
“The institutions and instructors acquire the ability to increase students per instructor and provide fast and consistent results [6].”
BackgroundMudenda, S., Zulu, A., Phiri, M. N., Ngazimbi, M., Mufwambi, W., Kasanga, M., & Banda, M. (2020) · Aquademia · doi:10.29333/aquademia/8494 · Cited by 46
Metadata
- Authors
- University of Southampton, U., Alruwais, N., Wills, G., & Wald, M.
- Venue
- International Journal of Information and Education Technology
- Publisher
- EJournal Publishing
- Published
- 2018
- Volume
- 8
- Issue
- 1
- Pages
- 34-37
- ISSN
- 2010-3689 (ISSN-L)
- OpenAlex
- W2623867476
- Cited by
- 323
- References
- 17
- FWCI
- 25.47
- Type
- journal article
- Language
- en
- Open access
- diamond
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- University of Southampton, U., Alruwais, N., Wills, G., & Wald, M. (2018). Advantages and Challenges of Using e-Assessment. International Journal of Information and Education Technology. https://doi.org/10.18178/ijiet.2018.8.1.1008
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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