科技项目后评估对项目的完成质量与效益进行评判,是科技管理全流程中的核心环节。现有科技项目后评估研究更多的是关注如何构建评估体系和量化评价指标,鲜有基于内容来探讨项目与成果的相关性。本文使用科技报告作为科技项目的补充信息...科技项目后评估对项目的完成质量与效益进行评判,是科技管理全流程中的核心环节。现有科技项目后评估研究更多的是关注如何构建评估体系和量化评价指标,鲜有基于内容来探讨项目与成果的相关性。本文使用科技报告作为科技项目的补充信息,构建基于BERT(bidirectional encoder representations from transformers)架构的相似度计算模型,通过文本语义匹配程度对科技项目-成果文献的相关性评估进行探索。研究结果表明,构建的融合模型可以有效地评估科技项目-成果文献的相关性。此外,本文对项目-成果相关性较低的情况以及科技报告监管过程中存在的问题进行了分析,旨在建设优质科技资源,完善科技项目后评估体系,综合提升科技情报服务效率。展开更多
In some contexts such as private language schools of Iran language teachers are recruited mainly on the basis of their speaking fluency and in other EFL contexts they are recruited simply because they are native speak...In some contexts such as private language schools of Iran language teachers are recruited mainly on the basis of their speaking fluency and in other EFL contexts they are recruited simply because they are native speakers. Moreover, previous studies mainly focus on comparing the effectiveness of native and non-native language teachers by exploring learners＇ and teachers＇ perceptions of native and non-native language teachers. Since recruitment criteria are theoretically unjustified and the results of previous studies are subjective and inconclusive, this study aims at making a case in the opposite direction. That is, the researchers argue that there should be： （1） a shift away from recruiting language teachers on the basis of their speaking fluency and native language background towards hiring language teachers on the basis of their professional performance in the language classroom; （2） a shift away from exploring learners＇ and teachers＇ perceptions of native and non-native teachers towards studying the effect of teachers＇ native language on learners＇ proficiency, accuracy, fluency, and achievement. To pave the way for these shifts, this study first reviews the theoretical perspectives and empirical findings concerning effective language teachers and then draws conclusions and implications which help interested stakeholders, i.e., supervisors, make informed decisions when they recruit language teachers.展开更多
文摘科技项目后评估对项目的完成质量与效益进行评判,是科技管理全流程中的核心环节。现有科技项目后评估研究更多的是关注如何构建评估体系和量化评价指标,鲜有基于内容来探讨项目与成果的相关性。本文使用科技报告作为科技项目的补充信息,构建基于BERT(bidirectional encoder representations from transformers)架构的相似度计算模型,通过文本语义匹配程度对科技项目-成果文献的相关性评估进行探索。研究结果表明,构建的融合模型可以有效地评估科技项目-成果文献的相关性。此外,本文对项目-成果相关性较低的情况以及科技报告监管过程中存在的问题进行了分析,旨在建设优质科技资源,完善科技项目后评估体系,综合提升科技情报服务效率。
文摘In some contexts such as private language schools of Iran language teachers are recruited mainly on the basis of their speaking fluency and in other EFL contexts they are recruited simply because they are native speakers. Moreover, previous studies mainly focus on comparing the effectiveness of native and non-native language teachers by exploring learners＇ and teachers＇ perceptions of native and non-native language teachers. Since recruitment criteria are theoretically unjustified and the results of previous studies are subjective and inconclusive, this study aims at making a case in the opposite direction. That is, the researchers argue that there should be： （1） a shift away from recruiting language teachers on the basis of their speaking fluency and native language background towards hiring language teachers on the basis of their professional performance in the language classroom; （2） a shift away from exploring learners＇ and teachers＇ perceptions of native and non-native teachers towards studying the effect of teachers＇ native language on learners＇ proficiency, accuracy, fluency, and achievement. To pave the way for these shifts, this study first reviews the theoretical perspectives and empirical findings concerning effective language teachers and then draws conclusions and implications which help interested stakeholders, i.e., supervisors, make informed decisions when they recruit language teachers.
