A structural model of end user computing satisfaction and user performance
Information and Management
An activity-theoretical approach to investigate learners' factors toward e-learning systems
Computers in Human Behavior
Intelligent agent supported personalization for virtual learning environments
Decision Support Systems
Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN
Electronic Commerce Research and Applications
A TSK type fuzzy rule based system for stock price prediction
Expert Systems with Applications: An International Journal
Consumer adoption of mobile TV: Examining psychological flow and media content
Computers in Human Behavior
Predicting and explaining the adoption of online trading: An empirical study in Taiwan
Decision Support Systems
Adaptive-expectation based multi-attribute FTS model for forecasting TAIEX
Computers & Mathematics with Applications
Design and implementation of fuzzy expert system for Tehran Stock Exchange portfolio recommendation
Expert Systems with Applications: An International Journal
MISMIS - A comprehensive decision support system for stock market investment
Knowledge-Based Systems
A case study on using prediction markets as a rich environment for active learning
Computers & Education
Fuzzy mean-variance-skewness portfolio selection models by interval analysis
Computers & Mathematics with Applications
Intelligent stock trading system based on improved technical analysis and Echo State Network
Expert Systems with Applications: An International Journal
Split-attention and redundancy effects on mobile learning in physical environments
Computers & Education
Computers & Mathematics with Applications
International Journal of Information Management: The Journal for Information Professionals
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Most investors lack financial knowledge and information for trading in the stock market. The objective of this study was to enhance the motivation and learning efficiency for students attending a course in financial management. A web-based virtual stock trading (VST) system, embedded with provided functions for financial ratio analysis, was designed to simulate a stock trading environment. Through learning with objective financial analyses, the state of learners' minds is expected not to be affected by news or market fluctuations, which in turn nurtures the students as rational investors. Students were recruited from two universities located in central Taiwan for this study. They were given a virtual budget at the beginning of the semester for online virtual trading. The stock trading behavior, such as risk aversion and disposition effect, was explored through students' trading histories. Furthermore, the learning outcome was evaluated with analysis of trading performance based on five indicators, including returns on budget, stock's trading amount turnover, profit margin of stock trading amount, average budget utilization rate, and returns on average investment amount. Finally, perceived usefulness and behavior intention of the VST system were surveyed using a questionnaire instrument based on the extended technical acceptance model (TAM). The analytic results support risk aversion theory in that students tended to sell high-priced stocks in short periods with a holding day of 4.03+/-4.93(N=32) because of its great price fluctuation even if its price was rising during the study period. In contrast, the holding days of high-priced stocks were significantly shorter than the stocks (t-test, p