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David, Andrew A. – American Biology Teacher, 2021
The rise of "big data" within the biological sciences has resulted in an urgent demand for coding skills in the next generation of scientists. To address this issue, several institutions and departments across the country have incorporated coding into their curricula. I describe a coding module developed and deployed in an undergraduate…
Descriptors: Programming, Programming Languages, Undergraduate Students, Biology
Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
Schwieger, Dana; Liu, Ziping – Information Systems Education Journal, 2018
The case provides a realistic scenario that can be used in a systems analysis and design, accounting information systems or graduate level management information systems course. The case details the steps in the revenue and expense cycle processes of a health supply wholesale company providing students with the opportunity to map the business…
Descriptors: Systems Development, Data Processing, Health Services, Allied Health Occupations Education
Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
Thomas, Ronald S. – Principal Leadership, 2010
Despite all the speeches, articles, and meetings about data-based instructional decision making, the author's observation after more than 20 years of working with middle and high school teams is that teachers and administrators often make important instructional decisions on the basis of historical precedent, anecdotal information, experience, or…
Descriptors: Decision Making, Data Processing, Decision Making Skills, Management Information Systems

Nordmoe, Eric – Teaching Statistics, 1998
Presents an outdoor activity requiring students to collect data and suggests some possible applications of the data. (ASK)
Descriptors: Data Collection, Data Processing, Mathematics Activities, Mathematics Instruction
Guengerich, Susan – Illinois Mathematics Teacher, 1998
Presents an activity in which students study statistical concepts using data from Super Bowl games. (ASK)
Descriptors: Data Processing, Elementary Secondary Education, Football, Mathematics Activities

Speitel, Tom; And Others – Science Teacher, 1996
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)
Descriptors: Computer Uses in Education, Data Processing, Documentation, Multimedia Materials

Cox, Pam; Bridges, Linda – Mathematics Teacher, 1999
Provides a cooperative-learning activity in which students calculate the horsepower of an individual by collecting and analyzing data. (ASK)
Descriptors: Algebra, Data Processing, Group Activities, Mathematics Instruction

Oleson, Vicki L. – Teaching Children Mathematics, 1998
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)
Descriptors: Data Processing, Elementary Education, Integrated Activities, Literature

Rosenbaum, Roberta – Journal of Education for Business, 1986
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)
Descriptors: Accounting, Business Administration, Critical Thinking, Data Processing

Rubink, William L.; Taube, Sylvia R. – Mathematics Teaching in the Middle School, 1999
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)
Descriptors: Data Processing, Entomology, Insects, Integrated Activities

Strutchens, Marilyn E. – Mathematics Teaching in the Middle School, 1999
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…
Descriptors: Data Interpretation, Data Processing, Mathematics Activities, Mathematics Instruction

Spangler, David B. – Mathematics Teaching in the Middle School, 1999
Presents an activity in which students use mathematical thinking and applications to analyze Major League Baseball home run data. (ASK)
Descriptors: Baseball, Data Processing, Mathematical Applications, Mathematics Activities