2007Journal of Bingtuan Education InstituteRequires access

Reforming Experimental Teaching Model and Cultivating High Qualified Talents

Yanyun Wang

Open publisher page 0 citations

Abstract

Experimental teaching is the extending of theoretical teaching and the combination of theory and practice.It is an important way to cultivate students' ability of innovation and engineering practice.This article expounds the teaching model reform and puts forward the reforming strategies of cultivating high quality talents.

About this research paper

What this paper is about

Experimental teaching is the extending of theoretical teaching and the combination of theory and practice.It is an important way to cultivate students' ability of innovation and engineering practice.This article expounds the teaching model reform and puts forward the reforming strategies of cultivating high quality talents.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Experimental teaching is the extending of theoretical teaching and the combination of theory and practice.It is an important way to cultivate students' ability of innovation and engineering practice.This article expounds the teaching model reform and puts forward the reforming strategies of cultivating high quality talents.

Key concepts: Quality (philosophy), Mathematics education, Engineering ethics, Engineering management, Engineering, Pedagogy, Sociology, Psychology

Related papers

Back to paper searchBrowse research topicsOriginal source
Reforming Experimental Teaching Model and Cultivating High Qualified Talents — Research Paper | ScholarLens