Journal article
Creating an authentic learning experience in introductory programming courses
SIGCSE bulletin, v 27(1), pp 199-203
15 Mar 1995
Abstract
We have developed an integrated, software-based course in scientific and statistical programming consisting of an introduction to computer programming and data analysis concepts. This course is being taught in an innovative way to non-majors: “stretched” over two quarters rather than taught in a single term. Classes meet in a computer classroom so students have a seamless lecture/laboratory experience to reinforce the concept that the computer should be made use of whenever needed, rather than only at specified lab times.
In addition to presenting key programming and data analysis concepts, we are giving the course an applied research focus to illustrate to students the importance and utility of programming and statistical concepts to
their own fields
. This focus provides motivation for students to learn material they often perceive to be difficult and not relevant to them. It also provides a mechanism for addressing the increasing perception of faculty in a variety of technological fields that many students have problems with abstraction, the use of symbolic notation to understand or express ideas (e.g., through mathematical models), the interpretation of graphical information, and written communication, since all of these skills are needed in applied research.
The software-based approach to teaching programming concepts dovetails nicely with the applied research orientation of the course in that the software we use is widely applicable to a variety of activities, from word-processing to data handling and analysis.
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7 citations in Scopus
Details
- Title
- Creating an authentic learning experience in introductory programming courses
- Creators
- Nira Herrmann - Drexel UniversityJeffrey L. Popyack - Drexel University
- Publication Details
- SIGCSE bulletin, v 27(1), pp 199-203
- Publisher
- Association for Computing Machinery
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Scopus ID
- 2-s2.0-84976770905
- Other Identifier
- 991019173439904721