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Kuroki, Masanori – Journal of Economic Education, 2023
As vast amounts of data have become available in business in recent years, the demand for data scientists has been rising. The author of this article provides a tutorial on how one entry-level machine learning competition from Kaggle, an online community for data scientists, can be integrated into an undergraduate econometrics course as an…
Descriptors: Statistics Education, Teaching Methods, Competition, Prediction
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Cynthia Bansak; Julie K. Smith; Christine L. Storrie – Journal of Economic Education, 2025
The authors of this article describe three student-driven learning modules developed from their respective College Fed Challenge courses. These activities are ready-to-apply in a wide range of courses to facilitate adoption without a large time commitment. In the "Pick a Policy Maker" module, students gain an understanding of the…
Descriptors: Macroeconomics, Economics Education, Teamwork, Graphs
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Cortés, Darwin; Mantilla, César; Prada, Laura – Journal of Economic Education, 2023
The authors adapted a lab-in-the-field experiment emulating the dynamic extraction of a fishery to create a Web-based classroom experiment. The game includes a multi-player version analogous to an open-access problem and a single-player version analogous to the social planner problem. This game is helpful in introductory microeconomics courses to…
Descriptors: Web Based Instruction, Teaching Methods, Elective Courses, Animal Husbandry
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Lange, Carsten; Baylor, Amy L. – Journal of Economic Education, 2007
The authors present a constructivist approach for teaching game theory, on the basis, in part, of Axelrod's research approach. Using the Axelrod tournament multi-user system (ATMUS) software, students create strategies for a repeated prisoner's dilemma (RPD). Later, these strategies are matched with those of their classmates' in a classroom…
Descriptors: Game Theory, Constructivism (Learning), Computer Assisted Instruction, Computer Software
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Hey, John D. – Journal of Economic Education, 2005
Most people learn to drive without knowing how the engine works. In a similar vein, the author believes that students can learn economics without knowing the algebra and calculus underlying the results. If instructors follow the philosophy of other economics courses in using graphs to illustrate the results, and draw the graphs accurately, then…
Descriptors: Teaching Methods, Microeconomics, Computer Software, Graphs
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Lumsden, Keith; Scott, Alex – Journal of Economic Education, 1988
Utilizes Bloom's Taxonomy to identify elements of teacher and student interest. Depicts the way in which these interests are developed into characteristics for use in analytically evaluating software. Illustrates the use of this evaluating technique by appraising the much used software package "Running the British Economy." (KO)
Descriptors: College Instruction, Computer Software Reviews, Economics, Economics Education
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Wilson, Brooks – Journal of Economic Education, 1995
Presents a model of the economic theory of regulation and recommends its use in undergraduate economics classes. Describes the use of computer-assisted instruction to teach the theory. Maintains that the approach enables students to gain access to graphs and tables that they produce themselves. (CFR)
Descriptors: Classroom Techniques, Computer Assisted Instruction, Computer Software, Computer Uses in Education
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Porter, Tod S.; Riley, Teresa M. – Journal of Economic Education, 1996
Compares academic performance between two groups of students in a statistics course. One group was given homework generated by computer software that provided feedback concerning incorrect answers. The other relied on the textbook without benefit of the feedback. The group using the software performed better on homework and tests. (MJP)
Descriptors: Academic Achievement, Computer Software Evaluation, Computer Uses in Education, Course Content
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Motahar, Eshragh – Journal of Economic Education, 1994
Reports on the use of Microsim, a computer simulation, to teach an introductory college statistics/econometrics course. Reports enhanced student involvement, improved student achievement, and positive student attitudes toward the course as a result of using the simulation. (CFR)
Descriptors: Computer Assisted Instruction, Computer Software, Computer Uses in Education, Course Content