The development of a student's ability to make data-driven decisions has become a focus in higher education (Schield 1999; Stephenson and Caravello 2007). Data literacy, the ability to understand and use data to effectively inform decisions, is a fundamental component of information competence (Mandinach and Gummer 2013; Stephenson and Caravello,…

This article distills a discussion about the goals, mechanisms, and effects of three environments which aim to support the acquisition and development of computing concepts (problem solving and programming) in pre-University and non-technical students: Alice, Greenfoot, and Scratch. The conversation started in a special session on the topic at the…

Describes the possible roles of an automation librarian working with microcomputer-based applications. Topics discussed include developing original applications; troubleshooting; software evaluation; hardware and software monitoring, maintenance, and upgrading; data protection; staff training; system documentation; negotiation and communication;…

Explores the conceptual components of a computer program designed to enhance creative thinking and reviews software that aims to stimulate creative thinking. Discusses BRAIN and ORACLE, programs intended to aid in creative problem solving. (JOW)

Two approaches to computer use instruction are applications (use of specific application software) and problem solving (developing thinking skills oriented toward using computers to solve problems). (SK)

Reviews three computer software programs: (1) "Discovery! Experiences with Scientific Reasoning"--problem solving for grades 4-12 (Apple II); (2) "Organic Stereochemistry"--a tutorial for organic chemistry for advanced secondary/college level (Apple II); and (3) "SHOW PARTNER (2.01)"--a graphics utility tool for…

In order for microcomputers to be used in an efficient and effective manner in the classroom, the computer should not be used in trivial ways, such as utilizing it as an electronic ditto sheet or as a video textbook. Educators must take advantage of the computer's unique capabilities, including its branching capacity, its graphic mode, and its…

Presents perspectives on methodological assumptions underlying research efforts in artificial intelligence (AI) and charts activities, motivations, methods, and current status of research in each of the major AI subareas: natural language understanding; computer vision; expert systems; search, problem solving, planning; theorem proving and logic…

Refutes Seymour Papert's premises because they: (1) maintain that computer criticism goes through developmental stages; (2) overlook the fact that the computer's newness in education affects the way people speak of computers; and (3) deny the necessity that teaching LOGO, like other pedagogies, should be accountable to experimental research. (PS)

Agrees with Seymour Papert that conventional experimentation has shortcomings when used to study effects of educational programs. Cites three research methods that, in combination, can compensate for the shortcomings of both conventional research and the computer criticism suggested by Papert. (PS)

Artificial intelligence, or the study of ideas that enable computers to be intelligent, is discussed in terms of what it is, what it has done, what it can do, and how it may affect the teaching of tomorrow. An extensive overview of artificial intelligence examines its goals and applications and types of artificial intelligence including (1) expert…

Suggests decision making techniques that can be used to estimate the consequences of choosing alternative courses of action, to select an optimum strategy, or to determine how sensitive predicted outcomes are to particular assumptions. Microcomputer use, quantitative techniques, and examples involving item reordering and adoption of word…

Expert systems are computer programs that solve selected problems by modelling domain-specific behaviors of human experts. These computer programs typically consist of an input/output system that feeds data into the computer and retrieves advice, an inference system using the reasoning and heuristic processes of human experts, and a knowledge…

Discusses artificial intelligence, robotics, natural language processing, and expert or knowledge-based systems research; examines two large expert systems, MYCIN and XCON; and reviews the resources required to build large expert systems and affordable smaller systems (intelligent job aids) for training. Expert system vendors and products are…

Four key areas in the design of computer-based training are transfer of training, interactivity, development of problem-solving skills, and stimulation of learner interest. (SK)