结构化教学,推动学习“自能化”——以“梯形的面积计算”一课为例

数学学习的本质是将数学知识结构转变为自身认知结构的过程。为了更好实现这个转化,教师需要对课程内容进行结构化设计,梳理主题和脉络,让学习化繁为简,真正实现学习“自能化”。文章以“梯形的面积计算”一课为例,阐述如何从教学目标的整体性、知识之间的关联性、思想方法的一致性、练习设计的系统性四个方面进行结构化教学。

Flipping the College English Classroom

The flipped classroom is an emerging teaching mode which is originated from the United States and is now prevalent in many countries. It is helpful to build a more harmonious relationship between the teachers and the students, to enhance the students＇ self-study ability, to create a favorable learning environment, to realize the individualized teaching in class, and to improve the students＇ English ability. The study focuses on the college English classroom in China. The author tries to prove that the flipped classroom is a helpful way to improve the teaching and learning effect of college English classroom. A teaching procedure for the flipped college English classroom is designed in the hope of changing the current college English teaching condition.

Study on the Scaffolding Teaching of Three-dimensional Animation Foundation based on Modularization

In this paper, the teaching of course Three-dimensional Animation Foundation is designed mainly based on teaching content modularization and scaffolding teaching model. The modularized content design for Three-dimensional Animation Foundation is specifically expounded, and also the ideas for developing the scaffolding teaching model are analyzed. How to integrate the scaffolding teaching model into course teaching is introduced in details. Finally, new methods for guiding students to think independently in course teaching and improve students＇ self-awareness and self-learning ability are proposed.

The optimal strategy of the college English teaching is the combination of the language teaching and the knowledge teaching

The requirements of the college English curriculum teaching put forward the teaching objectives to cultivate the English comprehensive application abilities of the students, and improve their cultural qualities and their abilities of the independent learning, which pointed out the direction for the reform of the college English teaching. The language teaching mode based on the contents of the subject advocates that the knowledge learning and the language learning with the combination of the contents of the discipline, to develop the students＇ independent learning abilities, is a feasible and effective way to achieve the goal of the college English teaching. To cultivate the students＇ practical ability of using English is the basic task of the English teaching and learning. But China＇s current college English education failed to organically and effectively combine the teaching of the language knowledge and the cultivation of the language abilities and the teaching of the knowledge, leading to the existence of the obvious price scissors in the students＇ language knowledge and the language abilities. Therefore, the key to the reform of the college English teaching is to correctly position the roles of the foreign language teachers, change the classroom teaching into the process of the two-way interaction between the teachers and the students, focus on the cultivation of the students＇ intercultural communicative competence, so that the students＇ language knowledge and their language abilities can promote each other, and obtain the coordinative development, to better adapt to the requirements of the times.

Times Series Prediction to Basis of a Neural Network Conceived by a Real Genetic Algorithm

Neural network and genetic algorithms are complementary technologies in the design of adaptive intelligent system. Neural network learns from scratch by adjusting the interconnections betweens layers. Genetic algorithms are a popular computing framework that uses principals from natural population genetics to evolve solutions to problems. Various forecasting methods have been developed on the basis of neural network, but accuracy has been matter of concern in these forecasts. In neural network methods forecasted values depend to the choose of neural predictor structure, the number of the input, the lag. To remedy to these problem, in this paper, the authors are investing the applicability of an automatic design of a neural predictor realized by real Genetic Algorithms to predict the future value of a time series. The prediction method is tested by using meteorology time series that are daily and weekly mean temperatures in Melbourne, Australia, 1980-1990.