{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T05:44:05Z","timestamp":1749620645017,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811659423"},{"type":"electronic","value":"9789811659430"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-16-5943-0_40","type":"book-chapter","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T23:04:08Z","timestamp":1631228648000},"page":"491-502","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Construction of Multiple Linear Regression Prediction Model of PRETCO-A Scores and Its Positive Backwash Effect on Teaching"],"prefix":"10.1007","author":[{"given":"Haiyun","family":"Han","sequence":"first","affiliation":[]},{"given":"Yuanhui","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,10]]},"reference":[{"issue":"1","key":"40_CR1","first-page":"114","volume":"39","author":"L Nan","year":"2021","unstructured":"Nan, L., Wenjia, H.: Method of predicting performance variables of postgraduate entrance examination based on logistic algorithm. J. Jilin Univ. 39(1), 114\u2013120 (2021)","journal-title":"J. Jilin Univ."},{"issue":"10","key":"40_CR2","first-page":"2039","volume":"46","author":"H Lina","year":"2018","unstructured":"Lina, H.: Application of the Bayesian classification model in the forecast of student achievement. Comput. Digital Eng. 46(10), 2039\u20132041 (2018)","journal-title":"Comput. Digital Eng."},{"issue":"5","key":"40_CR3","first-page":"96","volume":"39","author":"C Yong","year":"2016","unstructured":"Yong, C.: Research and implementation of result prediction based on genetic neural network. Mod. Electron. Tech. 39(5), 96\u2013100 (2016)","journal-title":"Mod. Electron. Tech."},{"issue":"6","key":"40_CR4","first-page":"145","volume":"41","author":"C Xinyu","year":"2018","unstructured":"Xinyu, C.: Prediction method of college students\u2019 scores toward uncertain missing data. Mod. Electron. Tech. 41(6), 145\u2013149 (2018)","journal-title":"Mod. Electron. Tech."},{"issue":"8","key":"40_CR5","first-page":"1729","volume":"57","author":"L Mengying","year":"2020","unstructured":"Mengying, L., Xiaodong, W., Shulan, R.: Student performance prediction model based on two-way attention mechanism. J. Comput. Res. Dev. 57(8), 1729\u20131740 (2020)","journal-title":"J. Comput. Res. Dev."},{"issue":"24","key":"40_CR6","first-page":"138","volume":"28","author":"W Xiaoqian","year":"2020","unstructured":"Xiaoqian, W., Lili, Q., Cheng, C.: Analysis of student performance and simulation of prediction model based on big data decision tree algorithm. Electron. Des. Eng. 28(24), 138\u2013141 (2020)","journal-title":"Electron. Des. Eng."},{"issue":"6","key":"40_CR7","first-page":"143","volume":"18","author":"Y Donghai","year":"2019","unstructured":"Donghai, Y., Yuerui, W.: Using orthogonal kernel least squares algorithm for predicting students\u2019 exam results in higher vocational college. Softw. Guide 18(6), 143\u2013146 (2019)","journal-title":"Softw. Guide"},{"key":"40_CR8","unstructured":"Chao, Z.: Sports performance prediction model based on glowworm algorithm optimizing neural network. Mod. Electron. Tech. 40(15), 94\u2013100 (2017)"},{"key":"40_CR9","volume-title":"Testing for Language Teachers","author":"A Hughes","year":"1989","unstructured":"Hughes, A.: Testing for Language Teachers. Cambridge University Press, Cambridge (1989)"},{"issue":"3","key":"40_CR10","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1177\/026553229601300303","volume":"13","author":"K Bailey","year":"1996","unstructured":"Bailey, K.: Working for washback: a review of the washback concept in language testing. Lang. Test. 13(3), 257\u2013279 (1996)","journal-title":"Lang. Test."},{"key":"40_CR11","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-3-662-47490-7_20","volume-title":"Pacific Rim Objective Measurement Symposium (PROMS) 2014 Conference Proceedings","author":"Y Gong","year":"2015","unstructured":"Gong, Y.: Backwash effect of english testing on english teaching for adults. In: Zhang, Q., Yang, H. (eds.) Pacific Rim Objective Measurement Symposium (PROMS) 2014 Conference Proceedings, pp. 263\u2013270. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-47490-7_20"},{"key":"40_CR12","unstructured":"Xu, L.: Introducing Chinese culture into the translation class\u2014\u2014the washback effects of the CET reform on language teaching for university students. Educ. Teach. Forum 21(3), 48\u201350, (2018)"},{"key":"40_CR13","unstructured":"Shuxia, W., Wei, B.: The washback effects of the CET listening reform on college english teaching. Educ. Teach. Forum 18(1), 91\u201394 (2019)"},{"key":"40_CR14","doi-asserted-by":"publisher","unstructured":"Qian, X., Jun, L.: A Study on the Washback Effects of the Test for English Majors (TEM). Springer, Singapore (2018). https:\/\/doi.org\/10.1007\/978-981-13-1963-1","DOI":"10.1007\/978-981-13-1963-1"},{"key":"40_CR15","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-981-33-4232-3_4","volume-title":"Challenges in Language Testing Around the World","author":"F Han","year":"2021","unstructured":"Han, F.: Washback of the reformed college english test band 4 (CET-4) in english learning and teaching in china, and possible solutions. In: Lanteigne, B., Coombe, C., Brown, J.D. (eds.) Challenges in Language Testing Around the World, pp. 35\u201346. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-33-4232-3_4"},{"key":"40_CR16","volume-title":"Essentials and Examples of SPSS Statistical Analysis","author":"X Yifan","year":"2010","unstructured":"Yifan, X.: Essentials and Examples of SPSS Statistical Analysis, 1st edn. Electronic Industry Press, Beijing (2010)","edition":"1"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-5943-0_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:57:08Z","timestamp":1710349028000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-5943-0_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811659423","9789811659430"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-5943-0_40","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"10 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiyuan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.icpcsee.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"256","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"81","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}