Research on Computer-Aided Assessment of Graduate English Course

DOI

10.2991/978-94-6463-242-2_46How to use a DOI?

Keywords

Computer-aided Assessment; Graduate English Course; Formative Assessment

Abstract

The 21st century witnesses a surge of new technologies which have been developing by leaps and bounds and have been applied universally. The development and improvement of computer software and hardware technology is an intrinsic incentive for foreign language teaching reform. The evaluation of graduate English course, in most cases, relies on the teachers, which tends to be lack of efficiency, fairness and objectivity and turns out to be a burden for the teachers. The computer-aided assessment studied in this article mainly covers three types, namely, Rain Classroom, FiF and iWrite, which focus on assessing students’ vocabulary mastery, oral practice, and writing skills, respectively. The computer-aided assessment can greatly alleviate the burden of teacher evaluation and most importantly, it has been discovered that these computer-aided evaluations can offer effective formative assessment to enhance the improvement of students’ learning and augment the teachers teaching efficiency as well. With the deepening of the reform of the higher education system, the use of computer-aided assessment tools will become an inevitable trend in the information age, and will show unprecedented vitality with its unique advantages.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zhouting Ma
AU  - Minxue Li
PY  - 2023
DA  - 2023/09/22
TI  - Research on Computer-Aided Assessment of Graduate English Course
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 374
EP  - 379
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_46
DO  - 10.2991/978-94-6463-242-2_46
ID  - Ma2023
ER  -