The belief that AI technology is on the cusp of causing a generalized social crisis became a popular one in 2023. While there was no doubt an element of hype and exaggeration to some of these accounts, they do reflect the fact that there are troubling ramifications to this technology stack. This conjunction of shared concerns about social,…

Background and Context: Recognizing that digital technologies can enable economic transformation in Africa, computing education has been considered a subject relevant for all within the compulsory level of education. The implementation of the subject in many schools is, however, characterized by a myriad of challenges, including pedagogical…

Owing to the predominant role of Machine Learning(ML) across domains, it is being introduced at multiple levels of education, including K-12. Researchers have leveraged games, augmented reality and other ways to make learning ML concepts interesting. However, most of the existing games to teach ML concepts either focus on use-cases and…

The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. Begun in 1968 as the College and University Eleven-Thirty Users' Group…

Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…

Recent technological developments in interfaces, programing philosophy, and artificial intelligence may invite the participation of women programers, who find a concrete, intuitive, and informal style of programing more congenial than the hierarchical, rule-driven style heretofore pervasive in computer culture. (DM)

This manual describes the LOGO system implemented for the PDP 11/45 at the MIT Artificial Intelligence Laboratory. The "system" includes a LOGO evaluator, a dedicated time-sharing system, and various special devices related to output such as robot turtles, tone generators, and cathode ray tube displays. (Author/SD)

This manual provides a brief description of the primitives in the computer language PDP 11 LOGO. It is intended to provide a quick reference for users who are familiar with the basics of the LOGO language. (Author/SD)

This manual provides brief descriptions of the primitives and is the PDP11 implementation of the LOGO language. It is intended as a quick reference for users familiar with the LOGO language. (SD)

The capability of computers and their potential for thinking are discussed. (MK)

LISP LOGO is a computer language invented for the beginning student of man-machine interaction. The language has the advantages of simplicity and naturalness as well as that of emphasizing the difference between programs and data. The language is based on the LOGO language and uses mnemonic syllables as commands. It can be used in conjunction with…

Contains annotations for resources on the history of computing. Includes resources for technical computing history, general computing history, precomputer era, the impact of computing and series. (CW)

NLS-SCHOLAR is a prototype system that uses artificial intelligence techniques to teach computer-naive people how to use a powerful and complex text editor. It represents a new type of computer-assisted instruction (CAI) system that integrates systematic teaching with actual practice; i.e., one which can keep the user under tutorial supervision…

Discusses a research project that uses artificial intelligence techniques to help teach programing. Describes principles and implementation of the LISP Intelligent Tutoring System (LISPITS). Explains how the artificial intelligence technique was developed and possible future research. (MVL)

Teaching future knowledge engineers, the necessary skills for designing and implementing intelligent software solutions required by business, industry and research today, is a very tall order. These skills are not easily taught in traditional undergraduate computer science lectures; nor are the practical experiences easily reinforced in laboratory…