A Corpus-based Evaluation for Intended Learning Outcomes of Ancient Chinese Textbooks
QIU Bing1,2, HUANGFU Wei2,3 , ZHU Qingzhi2
1.College of Humanities and Social Sciences, Beijing Language and Culture University, Beijing 100083, China; 2. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China; 3.Faculty of Humanities, The Education University of Hong Kong, Hong Kong 999077, China
Abstract：Ancient Chinese is a core course in the Chinese language and literature program. However, its intended learning outcomes with the existing textbooks are hard to evaluate, as the article selection, language point analysis, and overall arrangement are mostly based on editors' subjective experience. In order to quantify the expected learning outcomes, we put forward a novel approach based on a teaching-oriented lexical corpus of pre-Qin classics, which takes the frequency, importance, and semantic evolution of words into consideration. Then a case study is carried out by comparing two representative textbooks, Ancient Chinese (by Prof. Wang Li, editor in chief) and An Ancient Chinese Reader (2nd edition, by Prof. Wang Shuo), in regard to text length, language point density, distribution of new language points, as well as the learning curve. The quantitative results support the traditional qualitative understanding of these two sets and prove that our approach is valid. In the end, the re-ordering of the articles in the textbooks is discussed and a new learning curve which better fits the principle of gradual improvement is obtained.
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2018, Vol. 32 
