The Case for Improving U.S. Computer Science Education

Despite the growing use of computers and software in every facet of our economy, not until recently has computer science education begun to gain traction in American school systems. The current focus on improving science, technology, engineering, and mathematics (STEM) education in the U.S. school system has disregarded differences within STEM fields. Indeed, the most important STEM field for a modern economy is not only one that is not represented by its own initial in "STEM" but also the field with the fewest number of high school students taking its classes and by far has the most room for improvement—computer science

Development of an Assessment of Student Conception of the Nature of Science

This article describes a study in which a series of general education and introductory science courses were assessed using a Likert-scale instrument. As universities across the country have begun to make changes in their science curricula, especially with regards to non-science majors, assessment of courses and curricula has lagged behind implementation. The Likert-scale instrument, Attitudes and Conceptions in Science (ACS), provides a means by which faculty can determine the partial effectiveness of introductory and general education science courses. The established validity and reliability of this test suggests that its use in a variety of courses could allow identification of specific teaching methods, content, or other course characteristics that promote scientific literacy. Educational levels: Graduate or professional

The Scientist, Spring 2009

https://scholarworks.sjsu.edu/scientist/1004/thumbnail.jp

The Scientist, Spring 2009

https://scholarworks.sjsu.edu/scientist/1004/thumbnail.jp

Philosophy of Computer Science: An Introductory Course

There are many branches of philosophy called “the philosophy of X,” where X = disciplines ranging from history to physics. The philosophy of artificial intelligence has a long history, and there are many courses and texts with that title. Surprisingly, the philosophy of computer science is not nearly as well-developed. This article proposes topics that might constitute the philosophy of computer science and describes a course covering those topics, along with suggested readings and assignments

Computing as the 4th “R”: a general education approach to computing education

Computing and computation are increasingly pervading our lives, careers, and societies - a change driving interest in computing education at the secondary level. But what should define a "general education" computing course at this level? That is, what would you want every person to know, assuming they never take another computing course? We identify possible outcomes for such a course through the experience of designing and implementing a general education university course utilizing best-practice pedagogies. Though we nominally taught programming, the design of the course led students to report gaining core, transferable skills and the confidence to employ them in their future. We discuss how various aspects of the course likely contributed to these gains. Finally, we encourage the community to embrace the challenge of teaching general education computing in contrast to and in conjunction with existing curricula designed primarily to interest students in the field

Beyond The Book: Promoting Effective Research

In the past library professionals have primarily collected and provided access to materials; however, this paper will argue that we must now go beyond access or Beyond the Book. One way to do this is to learn about the information search process and then assume a new and more assertive role as a research advisor. We need to change our patrons \u27expectations so that they see us as knowledgeable about sources, yes, but also as experts on effective research as a process of discovery. Three relevant information search process models are covered, as well as the way people vary in their learning styles and thus approaches to research

The CREATE Approach to Primary Literature Shifts Undergraduates' Self-Assessed Ability to Read and Analyze Journal Articles, Attitudes about Science, and Epistemological Beliefs

The C. R. E. A. T. E. (Consider, Read, Elucidate hypotheses, Analyze and interpret data, Think of the next Experiment) method uses intensive analysis of primary literature in the undergraduate classroom to demystify and humanize science. We have reported previously that the method improves students' critical thinking and content integration abilities, while at the same time enhancing their self-reported understanding of "who does science, and why." We report here the results of an assessment that addressed C. R. E. A. T. E. students' attitudes about the nature of science, beliefs about learning, and confidence in their ability to read, analyze, and explain research articles. Using a Likert-style survey administered pre- and postcourse, we found significant changes in students' confidence in their ability to read and analyze primary literature, self-assessed understanding of the nature of science, and epistemological beliefs (e. g., their sense of whether knowledge is certain and scientific talent innate). Thus, within a single semester, the inexpensive C. R. E. A. T. E. method can shift not just students' analytical abilities and understanding of scientists as people, but can also positively affect students' confidence with analysis of primary literature, their insight into the processes of science, and their beliefs about learning.NSFNSF CCLI/TUES 0311117, 0618536, 1021443Molecular Bioscience