Presents 15 suggestions for training business education students in the use of computers. Suggestions involve computer language, method of presentation, laboratory time, programing assignments, instructions and handouts, problem solving, deadlines, reviews, programming concepts, programming logic, documentation, and defensive programming. (CT)

Outlines an introductory computer literacy course that focuses on the business data processing cluster. The course provides a general understanding of data processing history, applications, equipment, systems, people, and procedures. (SK)

Describes a data processing exercise for social studies in the primary grades. Students create a histogram out of building blocks to represent the number of siblings in their families. Pictures of men, women, boys, and girls are used to construct a pictorial graph of the number of adults and children in students' families. (AM)

Presents an outdoor activity requiring students to collect data and suggests some possible applications of the data. (ASK)

Presents an activity in which students study statistical concepts using data from Super Bowl games. (ASK)

Describes methods for creating integrated multimedia documents using recent advances in print, audio, and video digitization that bring added usefulness to computers as data acquisition, processing, and presentation tools. Discusses advantages of digital documentation. (JRH)

Provides a cooperative-learning activity in which students calculate the horsepower of an individual by collecting and analyzing data. (ASK)

Presents an activity to integrate literature into the mathematics curriculum that is an interesting springboard to problem solving, an opportunity to research famous mathematicians, and a vehicle to enhance the understanding of mathematics concepts. (ASK)

This curriculum guide for an advanced course in data processing is for use as a companion publication to a textbook or textbooks; references to appropriate textbooks are given in most units. Student completion of assignments in Volume I, available separately (see ED 220 604), is a prerequisite. Topics covered in the 18 units are introduction,…

Appropriate strategies for teaching students to interpret and understand quantitative data in marketing, management, accounting, and data processing are described. Accompanying figures illustrate samples of percentage markups, trade discounts, gross earning, gross commissions, accounting entries, balance sheet entries, and percentage problems. (CT)

Describes a field-tested interdisciplinary unit activity that involves collecting data on honeybees. Students gain hands-on experience with collecting, transforming, and analyzing data in this activity by using actual techniques employed by entomologists, the scientists who study insects. (ASK)

Presents an activity using national achievement data to involve students in a project on data collection and statistics while learning about their attitudes toward and beliefs about mathematics. This activity presents a good opportunity to talk about various interpretations of data and allows students to examine and discuss their attitudes about…

Presents an activity in which students use mathematical thinking and applications to analyze Major League Baseball home run data. (ASK)

This guide is intended for use in a course to help students become familiar with computer disk operating systems and the applications of various types of computer software. The first third of the guide contains the following: a profile of the critical skills required for the Canadian work force, a flowchart of the recommended sequence of studies…

Describes the elements of data processing documentation, presents and discusses a model syllabus for a course that takes into account each element of data processing documentation, and examines the requisite knowledge for teaching such a course. (HOD)