期刊论文、会议论文

Liu, Wei

英文

Frontiers in Education Conference. Conference Proceedings

1539-4565

2017

2017-October

1-6

2017 IEEE Frontiers in Education Conference (FIE)

2017 IEEE Frontiers in Education Conference (FIE)

October 2017

Indianapolis, IN, USA

[Liu, Wei;Yu, Mengling;Fan, Zijian;Xu, Jing] Huazhong Univ Sci & Technol, Sch Elect Info & Comm, Wuhan 430074, Hubei, Peoples R China.^[Tian, Yuan] Cent China Normal Univ, Sch Psychol, Wuhan 430072, Hubei, Peoples R China.

IEEE, IEEE ASEE, IEEE Comp Soc, Indian

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5090-4920-2

10.1109/FIE.2017.8190633

National Key Technology R&D Program of ChinaNational Key Technology R&D Program [2015BAH33F04-05]

本校为其他机构

Multiple-choice (MC) question is an important form of test to assess the students' academic achievement, especially in the e-learning applications. However, the classical evaluation metrics on MC questions (such as the correctness ratio) only consider the correctness of the final selection but ignore the solving progress of the testee. In the existing literature, the eye-tracking based visual attention was studied to infer the testee's cognitive progress towards a specific MC question. However, there is little work on the visual attention based evaluation of one complete MC test. In this paper...