This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using L...This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using LIWC(Linguistic Inquiry and Word Count)as a text analysis tool,the study explores the impact of LIWC categories on writing performance which is scaled by score.The results show that the simple LIWC word categories have a significant positive influence on the composition scores of lower-grade students;while complex LIWC word categories have a significant negative influence on the composition scores of lower-grade students but a significant positive influence on the composition scores of higher-grade students.Process word categories have a positive influence on the composition scores of all three grades,but the impact of complex process word categories increases as the grade level rises.展开更多
This explorative study investigates 1) whether and how quantitative measures of writing can be applied in finding out about scoring raters' specific tendency in their scoring of EFL writing; 2) how the knowledge of...This explorative study investigates 1) whether and how quantitative measures of writing can be applied in finding out about scoring raters' specific tendency in their scoring of EFL writing; 2) how the knowledge of raters' tendency and scoring results would help verify the best way of combining raters' scores; and 3) how the prediction of the writing scores of EFL writing obtained by quantitative writing performance measures would match the real scores given by raters. Based on a tentative CAF framework of writing measures, raters' performance or tendency in their scoring was observed and certain patterns of similarities as well as differences were found among the raters. The resuks of multiple linear regressions indicate that all raters give prior attention to the aspect of accuracy in their scoring. Differences among raters are also obvious. When it comes to the combination of different raters' scores, the study also finds that weighted average is the best of the three ways of combining scores for this group of raters because it has yielded the best predicting scores than the "pure average". It is even slightly better than the results obtained by facet analysis in terms of some important indices such as R square and Durbin-Watson value. The matching of the predicted scores with the real scores is well over 50 percent. The results of the study are further discussed in relation to the application of wpm and the possible improvement of wpm framework. The methodological, theoretical and practical implications of the study have also been touched upon in the relevant part of the article.展开更多
This study examined the effectiveness of positive self-evaluation used as an intervention to cultivate students' English writing self-efficacy and improve their writing performance. Multiple sources of data were coll...This study examined the effectiveness of positive self-evaluation used as an intervention to cultivate students' English writing self-efficacy and improve their writing performance. Multiple sources of data were collected from 90 students of grade 10 at a high school in Beijing, including the pretest and posttest writings, writing self-efficacy questionnaires, interviews, and follow-up questionnaires over one semester. Data analyses showed that the experimental group excelled the control group in writing performance and became more confident in writing at the end of positive self-evaluation practices. This study also found that writing self-efficacy and writing performance were positively related. The students with high writing self-efficacy tended to perform better in their writing than those with low writing self-efficacy.展开更多
Research has shown that L2 (second/foreign language) learners with higher anxiety tend to have weaker L2 reading and writing performance. This paper presents an innovative approach of teaching: the combination of e...Research has shown that L2 (second/foreign language) learners with higher anxiety tend to have weaker L2 reading and writing performance. This paper presents an innovative approach of teaching: the combination of extensive reading and writing blogs, which aims at reducing students' anxiety and promoting students' performance in L2 reading and writing. It also discusses the theoretical framework that supports the use of extensive reading and the reasons for using blogs as writing tools. Relative research on extensive reading and the use of blogs is synthesized. A design for one course that showcases the innovation is also presented. Finally, some suggestions are provided for teachers to help teachers successfully implement the innovative practices.展开更多
The recently proposed learned index has higher query performance and space efficiency than the conventional B+-tree.However,the original learned index has the problems of insertion failure and unbounded query complexi...The recently proposed learned index has higher query performance and space efficiency than the conventional B+-tree.However,the original learned index has the problems of insertion failure and unbounded query complexity,meaning that it supports neither insertions nor bounded query complexity.Some variants of the learned index use an out-of-place strategy and a bottom-up build strategy to accelerate insertions and support bounded query complexity,but introduce additional query costs and frequent node splitting operations.Moreover,none of the existing learned indices are cache-friendly.In this paper,aiming to not only support efficient queries and insertions but also offer bounded query complexity,we propose a new learned index called COLIN(Cache-cOnscious Learned INdex).Unlike previous solutions using an out-of-place strategy,COLIN adopts an in-place approach to support insertions and reserves some empty slots in a node to optimize the node’s data placement.In particular,through model-based data placement and cache-conscious data layout,COLIN decouples the local-search boundary from the maximum error of the model.The experimental results on five workloads and three datasets show that COLIN achieves the best read/write performance among all compared indices and outperforms the second best index by 18.4%,6.2%,and 32.9%on the three datasets,respectively.展开更多
文摘This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using LIWC(Linguistic Inquiry and Word Count)as a text analysis tool,the study explores the impact of LIWC categories on writing performance which is scaled by score.The results show that the simple LIWC word categories have a significant positive influence on the composition scores of lower-grade students;while complex LIWC word categories have a significant negative influence on the composition scores of lower-grade students but a significant positive influence on the composition scores of higher-grade students.Process word categories have a positive influence on the composition scores of all three grades,but the impact of complex process word categories increases as the grade level rises.
基金funded by China National Planning Office of Philosophy and Social Science(No.08XYY007)
文摘This explorative study investigates 1) whether and how quantitative measures of writing can be applied in finding out about scoring raters' specific tendency in their scoring of EFL writing; 2) how the knowledge of raters' tendency and scoring results would help verify the best way of combining raters' scores; and 3) how the prediction of the writing scores of EFL writing obtained by quantitative writing performance measures would match the real scores given by raters. Based on a tentative CAF framework of writing measures, raters' performance or tendency in their scoring was observed and certain patterns of similarities as well as differences were found among the raters. The resuks of multiple linear regressions indicate that all raters give prior attention to the aspect of accuracy in their scoring. Differences among raters are also obvious. When it comes to the combination of different raters' scores, the study also finds that weighted average is the best of the three ways of combining scores for this group of raters because it has yielded the best predicting scores than the "pure average". It is even slightly better than the results obtained by facet analysis in terms of some important indices such as R square and Durbin-Watson value. The matching of the predicted scores with the real scores is well over 50 percent. The results of the study are further discussed in relation to the application of wpm and the possible improvement of wpm framework. The methodological, theoretical and practical implications of the study have also been touched upon in the relevant part of the article.
文摘This study examined the effectiveness of positive self-evaluation used as an intervention to cultivate students' English writing self-efficacy and improve their writing performance. Multiple sources of data were collected from 90 students of grade 10 at a high school in Beijing, including the pretest and posttest writings, writing self-efficacy questionnaires, interviews, and follow-up questionnaires over one semester. Data analyses showed that the experimental group excelled the control group in writing performance and became more confident in writing at the end of positive self-evaluation practices. This study also found that writing self-efficacy and writing performance were positively related. The students with high writing self-efficacy tended to perform better in their writing than those with low writing self-efficacy.
文摘Research has shown that L2 (second/foreign language) learners with higher anxiety tend to have weaker L2 reading and writing performance. This paper presents an innovative approach of teaching: the combination of extensive reading and writing blogs, which aims at reducing students' anxiety and promoting students' performance in L2 reading and writing. It also discusses the theoretical framework that supports the use of extensive reading and the reasons for using blogs as writing tools. Relative research on extensive reading and the use of blogs is synthesized. A design for one course that showcases the innovation is also presented. Finally, some suggestions are provided for teachers to help teachers successfully implement the innovative practices.
基金the National Natural Science Foundation of China under Grant No.62072419the Huawei-USTC Joint Innovation Project on Fundamental System Software。
文摘The recently proposed learned index has higher query performance and space efficiency than the conventional B+-tree.However,the original learned index has the problems of insertion failure and unbounded query complexity,meaning that it supports neither insertions nor bounded query complexity.Some variants of the learned index use an out-of-place strategy and a bottom-up build strategy to accelerate insertions and support bounded query complexity,but introduce additional query costs and frequent node splitting operations.Moreover,none of the existing learned indices are cache-friendly.In this paper,aiming to not only support efficient queries and insertions but also offer bounded query complexity,we propose a new learned index called COLIN(Cache-cOnscious Learned INdex).Unlike previous solutions using an out-of-place strategy,COLIN adopts an in-place approach to support insertions and reserves some empty slots in a node to optimize the node’s data placement.In particular,through model-based data placement and cache-conscious data layout,COLIN decouples the local-search boundary from the maximum error of the model.The experimental results on five workloads and three datasets show that COLIN achieves the best read/write performance among all compared indices and outperforms the second best index by 18.4%,6.2%,and 32.9%on the three datasets,respectively.