The World of IBM Education

Because of its corporate philosophy and its deep immersion in advanced technology, International Business Machines Corporation has an abiding concern for the further training and education of its 260,000 employees. At any given time in this multinational corporation with $10 billion in annual sales, tens of thousands of employees are engaged in some form of training at 275 education centers. IBM's advanced terminal computer-based education is now available at the majority of the company's 230 branch offices in the U.S. For a pervasive look at IBM's training and education accomplishments, Change's editors talked with Charles R. Bowen, IBM's program director for education development, and William C. Carpenter, an IBM education program consultant.     

Expanding Undergraduate Education to Meet National Goals: The Role of Research Universities

Abstract

America Revised: History School-books in the Twentieth Century by Frances FitzGerald. Boston: Little, Brown, 240 pages, $9.95.     

The Pepsi Putnam Challenge

Opening a copy of The Mathematical Intelligencer you may ask yourself uneasily, “What is this anyway—a mathematical journal, or what?” Or you may ask, “Where am I?” Or even “Who am I?” This sense of disorientation is at its most acute when you open to Cohn Adam’s column. Relax. Breathe regularly. It’s mathematical, it’s a humor column, and it may even be hannless.     

Mathematics Education & Digital Technologies: Facing the Challenge of Networking European Research Teams

This paper introduces the IJCML Special Issue dedicated to digital technologies and mathematics education and, in particular, to the work performed by the European Research Team TELMA (Technology Enhanced Learning in Mathematics). TELMA was one of the initiatives of the Kaleidoscope Network of Excellence established by the European Community (IST-507838—2003–2007) to promote the joint elaboration of concepts and methods for exploring the future of learning with digital technologies. TELMA addressed the problem of fragmentation of theoretical frameworks in the research field of mathematics education with digital technologies and developed a methodology based on the in field cross-experimentation of educational digital environments for maths. Six European research teams engaged in cross-experimentation in classrooms as a means to begin to develop a common language and to analyse the intertwined influence played, both explicitly and implicitly, by different contextual characteristics and theoretical frames assumed as reference by the diverse teams participating in the initiative.     

新建本科院校本科《高等数学》学习状况调查报告

通过对新建本科院校本科《高等数学》学习状况的问卷调查,弄清本科学生学习《高等数学》的基本状况,分析出造成《高等数学》学习困难的主要原因——自我效能感低、不良的非智力因素,并由此得出对教学的启示.     

The Challenge of Functional Magnetic Resonance Imaging

Abstract

Functional magnetic resonance imaging of the human brain in action presents large statistical and computational challenges. Here we describe those challenges and provide references to a number of other papers where detailed methods developed to meet them are reported. The first seven sections of this paper were written in 1995 when our work was in its infancy. The last four sections were written more recently, to update the earlier sections and to show the directions we have gone and the directions we intend to go.     

The Challenge to Western Management Development

Journal of the Operational Research Society -     

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??In this paper, the multivariate linear statistical method is applied to research the undergraduate grades of students from the school of mathematics in Hefei University of Technology, and explore the impact on the later achievement by the early stage of achievement from all undergraduate courses. First, we get the main components from the previous courses by principal component analysis, then construct a linear regression model between the later achievement and main components by the stepwise regression method. Next, a linear regression model between the later achievement and the early stage of achievement from all undergraduate courses is constructed by Adaptive-Lasso method. Finally, comparative analysis is performed for the result of the above models. The research shows that the principal component regression model based on the Adaptive-Lasso method can well fit the later achievement, and give a reasonable explanation for the later academic performance.