With the deepening of educational reform and the continuous development of the times,the traditional English teaching model has been difficult to meet the current society’s demand for requirements of English talents....With the deepening of educational reform and the continuous development of the times,the traditional English teaching model has been difficult to meet the current society’s demand for requirements of English talents.Therefore,from the perspective of multi-mode,colleges and universities should recognize the shortcomings of traditional English teaching mode,and actively innovate and reform English teaching through various effective ways,so as to cultivate talents that meet the needs of social development.The author investigates and analyzes the multimodal theory and proposes an effective way to teach English in higher education under the multimodal vision.It is hoped that it will help to improve the quality of English language teaching in higher education institutions.展开更多
Reading is the main route to impart scientific and cultural knowledge.It is not only related to personal growth,but also closely related to the construction of our society and the prosperity of the nation.University l...Reading is the main route to impart scientific and cultural knowledge.It is not only related to personal growth,but also closely related to the construction of our society and the prosperity of the nation.University libraries must take on this important responsibility and strengthen the promotion of reading.In the"Internet+"era,university libraries need to focus on how to keep up with the development of the times and provide better digital reading services for teachers and students.The author studies and analyzes the main characteristics of digital reading in university libraries,and proposes the service strategy of digital reading for university libraries in the"Internet+"era,hoping to help with the university libraries playing their roles.展开更多
Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring th...Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.展开更多
文摘With the deepening of educational reform and the continuous development of the times,the traditional English teaching model has been difficult to meet the current society’s demand for requirements of English talents.Therefore,from the perspective of multi-mode,colleges and universities should recognize the shortcomings of traditional English teaching mode,and actively innovate and reform English teaching through various effective ways,so as to cultivate talents that meet the needs of social development.The author investigates and analyzes the multimodal theory and proposes an effective way to teach English in higher education under the multimodal vision.It is hoped that it will help to improve the quality of English language teaching in higher education institutions.
文摘Reading is the main route to impart scientific and cultural knowledge.It is not only related to personal growth,but also closely related to the construction of our society and the prosperity of the nation.University libraries must take on this important responsibility and strengthen the promotion of reading.In the"Internet+"era,university libraries need to focus on how to keep up with the development of the times and provide better digital reading services for teachers and students.The author studies and analyzes the main characteristics of digital reading in university libraries,and proposes the service strategy of digital reading for university libraries in the"Internet+"era,hoping to help with the university libraries playing their roles.
基金support of the European Commission ETER Project (No. 934533-2017-AO8-CH)H2020 RISIS 2 project (No. 824091)。
文摘Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.
