Translation into any natural language of the error messages generated by any computer program

Since the introduction of the Fortran programming language some 60 years ago, there has been little progress in making error messages more user-friendly. A first step in this direction is to translate them into the natural language of the students. In this paper we propose a simple script for Linux systems which gives word by word translations of error messages. It works for most programming languages and for all natural languages. Understanding the error messages generated by compilers is a major hurdle for students who are learning programming, particularly for non-native English speakers. Not only may they never become "fluent" in programming but many give up programming altogether. Whereas programming is a tool which can be useful in many human activities, e.g. history, genealogy, astronomy, entomology, in many countries the skill of programming remains confined to a narrow fringe of professional programmers. In all societies, besides professional violinists there are also amateurs. It should be the same for programming. It is our hope that once translated and explained the error messages will be seen by the students as an aid rather than as an obstacle and that in this way more students will enjoy learning and practising programming. They should see it as a funny game.Comment: 14 pages, 1 figur

An Experience Report on the Effectiveness of Five Themed Workshops at Inspiring High School Students to Learn Coding

Today there is a high demand for computing programmers, and at the same time a shortage of skilled professionals. This has triggered the creation of many initiatives in the past few years, with the aim of reversing the phenomenon. To achieve this, such events are designed to promote a more appealing image for programming, both as a profession and as a skill. This paper describes one such initiative, which uses a unique blend of differently themed, parallel workshops to motivate high school students to learn programming. With the use of questionnaires, we survey the participants and present our findings concerning the effectiveness of these workshops to engage the participants, to promote the value of coding, and to encourage the participants to consider a career in the field. We evaluate our results both at a general level, as well as by comparison among five individually themed workshops

Making the move from C to Python with mechanical engineering students

Work is underway in the Mechanical Engineering Department at San Jose State University to transition the first course in computer programming (ME 30 Computer Applications) and a follow-on course, ME 106 Fundamentals of Mechatronics, from C to Python. Both courses make extensive use of a microcontroller to teach the fundamentals in both subjects, and heretofore have used the C language and the Arduino platform, but now both courses have moved to Python and to the Adafruit Feather M4 Express board, which can run Python natively on its associated microcontroller. Prior to the transition to Python, ME 30 had a relatively high failure rate between about 10 - 35%. Since transitioning to Python, the failure rate dropped dramatically to about 3% in the fall of 2019. The paper will outline the previous structure of the courses, explain the motivation for transitioning from C to Python, and discuss the pros and cons of the transition observed to date