Game-based learning: Teaching principles of economics and investment finance through Monopoly

Lew, Charlene; Saville, Adrian

doi:10.1016/j.ijme.2021.100567

Cited by 12 publications

(8 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The search for alternatives to improve the learning experience of finance students is relevant (Carrithers et al, 2008;Ebdon, 1999). The strategies are diverse, including the use of sports as a means of teaching (Lew & Saville, 2021;Montalvo et al, 2018), with room for outdoor activities such as golf.…”

Section: Sport As a Metaphor For Teaching Financementioning

confidence: 99%

Golf as an Innovation in the Teaching of Finance: Report on a Pioneering Experience

Mendes-da-Silva

2024

Rev. adm. contemp.

View full text Add to dashboard Cite

Objective to analyze the possibility of using golf as a metaphor for teaching finance. Study reports on a pilot experience of teaching finance using golf as a metaphor.Golf can be a means of promoting the engagement of finance students. Theoretical framework: a normative and positive economic decision theory is used as a framework. Sports can be a means of engaging students in finance education programs. Golf, in particular, can fulfill this role and serve as a powerful tool for building and maintaining social networks relevant to high-level professionals. Methods: thirty undergraduate students voluntarily participated in a pilot teaching program over five days. The program included sessions (in the field) on the fundamentals of golf and financial decisions, and students looked for synergies between these two domains. Participants showed a high level of interest in both the sports practice sessions and the finance activities. Results: the results suggest that psychological errors common to golf and financial behavior-for example, overoptimism, overconfidence, and emotional judgments-can be diagnosed and addressed through sports practice. In addition, the participants’ self-assessment indicates the possibility that the program can induce behaviors in line with the corporate environment. Conclusions: Despite golf’s contribution to the teaching of business subjects, it is still absent from formal curricula.

show abstract

Section: Sport As a Metaphor For Teaching Financementioning

confidence: 99%

Golf as an Innovation in the Teaching of Finance: Report on a Pioneering Experience

Mendes-da-Silva

2024

Rev. adm. contemp.

View full text Add to dashboard Cite

show abstract

“…En otras palabras, en la validación se ha puesto el acento en la optimización del artefacto, pero no en conocer con amplitud y profundidad qué problemas tiene el alumnado al experimentar un game learning analytics y cómo resuelve esos problemas. Es necesario introducir propuestas de validación del artefacto con enfoque cualitativo, así como iniciar estudios cualitativos sobre el aprendizaje con este tipo de modelos (Lew & Saville, 2021;Xu et al, 2021).…”

Section: Discusión Y Conclusionesunclassified

Tendencias de game learning analytics: una revisión sistemática de la literatura especializada

2022

View full text Add to dashboard Cite

Este artículo presenta una revisión sistemática de la literatura especializada con el método de metasíntesis para conocer las tendencias teóricas y empíricas que pueden encontrarse en la literatura científica acerca de game learning analytics. La búsqueda se realizó en 17 bases de datos y se obtuvieron 153 resultados. Tras la aplicación de ciertos criterios de exclusión, se admitieron 17 artículos de investigación científica para el análisis. La información fue clasificada en tendencias de diseño, validación e implementación. Los hallazgos en diseño sugieren una tendencia a simular ambientes reales con el objetivo de validar, no solo el juego serio, sino también el aprendizaje obtenido aplicando mediciones pre- y postest. Se observó una implementación variada entre fines educativos, de capacitación o apoyo a personas con discapacidad. Asimismo, se emplearon juegos prediseñados y juegos de autor con interacciones individuales.

show abstract

“…Instead, the market system should definitely continue [8][9][10]. The government took charge of the financial supervision system's operation in China at the moment, developed a financial supervision analysis model, and developed a mode-based game analysis performed a comparison between multilateral and mega-regulation, noting the differences between the two with regard to of target conflicts [11][12][13]. Information transmission, regulation costs, and the scale effect are also investigated provides more analysis of the rent-seeking practices between regulatory bodies and the banking industry by using game theory based on reputation dynamics Financial organizations [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Game Analysis of Financial Regulation in International Financial Crisis using Multi-view Graph Convolutional Network

Fang Luo

2024

jes

View full text Add to dashboard Cite

The concept of "game analysis" generally refers to the study and assessment of video games, frequently from the viewpoints of player experience, story, mechanics, design, and other relevant variables. It can be used for a variety of games, such as sports, board, card, and video games. A sudden drop in the value of assets or financial institutions is referred to as a financial crisis. It frequently causes the regular operation of financial markets to be interrupted and may have negative impacts on the economy as a whole. In this manuscript, Game Analysis of Financial Regulation in International Financial Crisis using Multi-view Graph Convolutional Network (GA-FR-IFC-MGCN). The proposed method comprises of four phases: dataset, pre-processing, feature selection, classification. Initially, the data is taken from Analcat dataset. Then, Federated Neural Collaborative Filtering (FNCF) method is used to enhancing the networks data. For feature selection phase, the ideal features are chosen by Siberian Tiger Optimization (STO). After, the Multi-view graph convolutional network (MGCN) method is used to classifying international financial crisis as bankruptcy and Non-bankruptcy. In general, MGCN does not express some adaption of optimization strategies for determining optimal parameters to promise exact classification of International Financial Crisis. Therefore, Harbor Seal Whiskers Optimization Algorithm is proposed to enhance weight parameter of MGCN classifier, which precisely predicts the International Financial Crisis. The proposed technique is executed and efficiency of GA-FR-IFC-MGCN depend classification framework is assessed by support of numerous performances evaluating metrics likes accuracy, recall, precision, FI-score, specificity. Finally the performance of proposed GA-FR-IFC-MGCN methods provides 25.32%, 29.30% and 27.32% higher accuracy, 22.41%, 29.30% and 24.31% higher specificity and 25.71%, 27.12% and 25.31% higher precision though analyzed with existing method likes game analysis of financial supervision in international financial crisis(GA-FS-IFC), performance evaluation of clustering techniques for financial crisis prediction(PE-CT-FC) and modified grey wolf optimizer with sparse auto-encoder for financial crisis prediction in small marginal firms (MGWO-SA-FCP) respectively.

show abstract

Game-based learning: Teaching principles of economics and investment finance through Monopoly

Cited by 12 publications

References 57 publications

Golf as an Innovation in the Teaching of Finance: Report on a Pioneering Experience

Golf as an Innovation in the Teaching of Finance: Report on a Pioneering Experience

Tendencias de game learning analytics: una revisión sistemática de la literatura especializada

Game Analysis of Financial Regulation in International Financial Crisis using Multi-view Graph Convolutional Network

Contact Info

Product

Resources

About