Impact of online computer assisted learning on education: Experimental evidence from economically vulnerable areas of China
文献类型:期刊论文
作者 | Bai, Yu6; Tang, Bin1; Wang, Boya1; Mo, Di5; Zhang, Linxiu3,4; Rozelle, Scott2; Auden, Emma2; Mandell, Blake8 |
刊名 | ECONOMICS OF EDUCATION REVIEW
![]() |
出版日期 | 2023-06-01 |
卷号 | 94页码:102385 |
关键词 | Education Computer assisted learning Randomized controlled trial Online learning |
DOI | 10.1016/j.econedurev.2023.102385 |
文献子类 | Article |
英文摘要 | There is growing interest by both educators and policymakers in helping underperforming students catch up using computer assisted learning (CAL). While CAL interventions have been shown to be effective internationally and elsewhere in China, these have been mostly offline CAL programs that are difficult and costly to implement. An online CAL (OCAL) may be able to bypass many of offline CAL's implementation problems and enhance the remedial tutoring experience. The objective of this paper is to examine the impact of an OCAL intervention on the academic and non-academic performance of students and to explore the mechanism behind OCAL's impact. According to the findings, OCAL improved overall English scores of students in the treatment group relative to the control group by 0.48 standard deviations. This impact is large when compared with offline CAL programs previously evaluated in rural China. We found that OCAL also led to a positive change in the attitudes of students towards English learning and student aspirations for their future education level. We found three possible ex-planations for OCAL's impact. We believe that online features that enhance the interest-oriented stimulation of the software is the main source of improvement among students. Cost-effectiveness analysis showed that the OCAL program is more cost-effective than traditional offline CAL, which is suitable for policymakers as it in-dicates high potential for OCAL program expansion. |
WOS关键词 | SELF-EFFICACY ; RANDOMIZED EXPERIMENT ; ACADEMIC-PERFORMANCE ; COGNITIVE SKILLS ; SCHOOLS ; STUDENTS ; INSTRUCTION ; TECHNOLOGY ; COLLEGE ; GROWTH |
WOS研究方向 | Business & Economics ; Education & Educational Research |
WOS记录号 | WOS:000962507400001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/200812] ![]() |
专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
作者单位 | 1.Minzu Univ China, China Inst Vitalizing Border Areas & Enriching Peo, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 3.United Nations Environm Programme, Int Ecosyst Management Partnership, Beijing 100101, Peoples R China 4.LinkedIn Corp, 222 2nd St, San Francisco, CA 94105 USA 5.Shaanxi Normal Univ, Fac Educ, Ctr Expt Econ Educ CEEE, 620 West Changan Ave, Xian 710119, Peoples R China 6.Minzu Univ China, Sch Econ, Beijing, Peoples R China 7.Yenching Acad Peking Univ, Beijing, Peoples R China 8.Stanford Univ, Stanford Ctr Chinas Econ & Inst, Stanford, CA USA |
推荐引用方式 GB/T 7714 | Bai, Yu,Tang, Bin,Wang, Boya,et al. Impact of online computer assisted learning on education: Experimental evidence from economically vulnerable areas of China[J]. ECONOMICS OF EDUCATION REVIEW,2023,94:102385. |
APA | Bai, Yu.,Tang, Bin.,Wang, Boya.,Mo, Di.,Zhang, Linxiu.,...&Mandell, Blake.(2023).Impact of online computer assisted learning on education: Experimental evidence from economically vulnerable areas of China.ECONOMICS OF EDUCATION REVIEW,94,102385. |
MLA | Bai, Yu,et al."Impact of online computer assisted learning on education: Experimental evidence from economically vulnerable areas of China".ECONOMICS OF EDUCATION REVIEW 94(2023):102385. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。