There is no reasonable scientific basis for selecting the excellent teachers of the school’s courses.To solve the practical problem,we firstly give a series of normalization models for defining the key attributes of ...There is no reasonable scientific basis for selecting the excellent teachers of the school’s courses.To solve the practical problem,we firstly give a series of normalization models for defining the key attributes of teachers’professional foundation,course difficulty coefficient,and comprehensive evaluation of teaching.Then,we define a partial weight function to calculate the key attributes,and obtain the partial recommendation values.Next,we construct a highly sparse Teaching Recommendation Factorization Machines(TRFMs)model,which takes the 5-tuples relation including teacher,course,teachers’professional foundation,course difficulty,teaching evaluation as the feature vector,and take partial recommendation value as the recommendation label.Finally,we design a novel Top-N excellent teacher recommendation algorithm based on TRFMs by course classification on the highly sparse dataset.Experimental results show that the proposed TRFMs and recommendation algorithm can accurately realize the recommendation of excellent teachers on a highly sparse historical teaching dataset.The recommendation accuracy is superior to that of the three-dimensional tensor decomposition model algorithm which also solves sparse datasets.The proposed method can be used as a new recommendation method applied to the teaching arrangements in all kinds of schools,which can effectively improve the teaching quality.展开更多
Issues caused by different social cultures A clulture has a close connection with a particular language and plays an improtant role in the learn-ing and teaching of it.As we know,every nation has its own culture and t...Issues caused by different social cultures A clulture has a close connection with a particular language and plays an improtant role in the learn-ing and teaching of it.As we know,every nation has its own culture and the cultures of nations of theworld,generally,are different from each other.Owing to the disparities in culture,to people whospeak different languages,a word or phrase used to express good intention may surprise or irritate peo-ple;a common sentence can sometimes amuse one person greatly and cause laughter,but‘strange e-nough’,it can be too,dull enough in the eyes of another person with different culture background.展开更多
Students’ individual differences pose a challenge to language teachers and influence the way in which a foreign language is learned. We are therefore invited to consider the role of our students’ personalities,motiv...Students’ individual differences pose a challenge to language teachers and influence the way in which a foreign language is learned. We are therefore invited to consider the role of our students’ personalities,motivation and cognitive styles in the language classroom. LANGUAGE teaching would be much easier if all students were alike. The number of instructional decisions would be greatly reduced; teaching methods would be rather simpler; lesson designs would not have to be modified; teachers would not have to consider alternative procedures; teacher-student展开更多
基金This work was supported by the Planning Subject for the 13th Five-Year Plan of Hunan Provincial Educational Sciences under Grant XJK17BXX006,author D.Y,http://ghkt.hntky.com/.
文摘There is no reasonable scientific basis for selecting the excellent teachers of the school’s courses.To solve the practical problem,we firstly give a series of normalization models for defining the key attributes of teachers’professional foundation,course difficulty coefficient,and comprehensive evaluation of teaching.Then,we define a partial weight function to calculate the key attributes,and obtain the partial recommendation values.Next,we construct a highly sparse Teaching Recommendation Factorization Machines(TRFMs)model,which takes the 5-tuples relation including teacher,course,teachers’professional foundation,course difficulty,teaching evaluation as the feature vector,and take partial recommendation value as the recommendation label.Finally,we design a novel Top-N excellent teacher recommendation algorithm based on TRFMs by course classification on the highly sparse dataset.Experimental results show that the proposed TRFMs and recommendation algorithm can accurately realize the recommendation of excellent teachers on a highly sparse historical teaching dataset.The recommendation accuracy is superior to that of the three-dimensional tensor decomposition model algorithm which also solves sparse datasets.The proposed method can be used as a new recommendation method applied to the teaching arrangements in all kinds of schools,which can effectively improve the teaching quality.
文摘Issues caused by different social cultures A clulture has a close connection with a particular language and plays an improtant role in the learn-ing and teaching of it.As we know,every nation has its own culture and the cultures of nations of theworld,generally,are different from each other.Owing to the disparities in culture,to people whospeak different languages,a word or phrase used to express good intention may surprise or irritate peo-ple;a common sentence can sometimes amuse one person greatly and cause laughter,but‘strange e-nough’,it can be too,dull enough in the eyes of another person with different culture background.
文摘Students’ individual differences pose a challenge to language teachers and influence the way in which a foreign language is learned. We are therefore invited to consider the role of our students’ personalities,motivation and cognitive styles in the language classroom. LANGUAGE teaching would be much easier if all students were alike. The number of instructional decisions would be greatly reduced; teaching methods would be rather simpler; lesson designs would not have to be modified; teachers would not have to consider alternative procedures; teacher-student
