Two design models are introduced to feature the game-design elements and relationships that are critical for successful gamification. In online education, gamification employs game mechanics and incentives to encourage positive outcomes. Making good design decisions and offering a strong implementation are critical elements in the success of gamification. The study concludes by reviewing the results from a gamification case study and offers recommendations for future research.
This paper describes values-based network leadership conceptually aligned to systems science, principles of networks, moral and ethical development, and connectivism. Valuesbased network leadership places importance on a leader's repertoire of skills for stewarding a culture of purpose and calling among distributed teams in a globally interconnected world. Values-based network leadership is applicable for any leader needing to align interdependent effort by networks of teams operating across virtual and physical environments to achieve a collective purpose. An open-learning ecosystem is also described to help leaders address the development of strengths associated with building trust and relationships across networks of teams, aligned under a higher purpose and calling, possessing moral fiber, resilient in the face of complexity, reflectively competent to adapt as interconnected efforts evolve and change within multicultural environments, and able to figure out new ways to do something never done before.
Cognitive apprenticeship refers to the development of skills under the guidance and tutelage of a domain expert. This chapter covers the theory and highlights 10 years of virtual learning experiences and 52 classes using the cognitive apprenticeship model. It reflects on the impact of presence and explores how learning communities develop as students assume roles and learn by working next to skilled faculty. The examples reinforce the value of deep immersion and identity in situated learning. The software design activities illustrate the benefits experienced when students assume ownership and structure their activities. Through self-reflection, learners illustrated the power of design thinking through group and individual design studios. The chapter concludes with observations from 400 eighth graders and reflections on future work in the design of sustainable learning programs for computer science and leadership education.
This interdisciplinary quantitative study examines how a text mining technique that is widely used to understand financial market forecasts could also help in understanding North Atlantic Tropical Cyclone (TC) forecasts. TCs are a destructive circulation of thunderstorms over a surface low-pressure center. The C4.5 decision tree algorithm has been used successfully to aid in the understanding of financial market forecasts with accuracy rates greater than 55%. This study has examined the use of the C4.5 decision tree algorithm on a 15-year period of the National Hurricane Centers five-day TC forecasts to see if the algorithm could provide a statistically significant value to improving the overall TC forecast accuracy. Improvements in the overall TC forecast accuracy can aid in providing those impacted by a TC adequate early, relevant, and lifesaving TC watches and warnings. This study has helped identify key weather pattern components that have significant information gain, which can help both researchers and practitioners prioritize projects that could help improve TC forecasts.
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