scholarly journals Gamification and Advanced Technology to Enhance Motivation in Education

Informatics ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 20 ◽  
Author(s):  
Rafael Molina-Carmona ◽  
Faraón Llorens-Largo
Keyword(s):  
Representative Sample ◽  
Advanced Technology ◽  
Special Issue ◽  
Research Activity ◽  
Advanced Technologies ◽  
Current Research Activity ◽  
Motivation In Education

The aim of this Special Issue is to compile a set of research works that highlight the use of gamification and other advanced technologies as powerful tools for motivation during learning. We have been fortunate to obtain a representative sample of the current research activity in this field.

Applied Mechanics Problems in the Oil and Gas Industry

1986 ◽  
Vol 39 (11) ◽  
pp. 1687-1696 ◽  
Author(s):  
Jean-Claude Roegiers
Keyword(s):  
Oil And Gas ◽  
Petroleum Industry ◽  
Oil Industry ◽  
Oil And Gas Industry ◽  
Production Equipment ◽  
Paper Briefly ◽  
Research Activity ◽  
Gas Industry ◽  
Well Production ◽  
Current Research Activity

The petroleum industry offers a broad spectrum of problems that falls within the domain of expertise of mechanical engineers. These problems range from the design of well production equipment to the evaluation of formation responses to production and stimulation. This paper briefly describes various aspects and related difficulties with which the oil industry has to deal, from the time the well is spudded until the field is abandoned. It attempts to delineate the problems, to outline the approaches presently used, and to discuss areas where additional research is needed. Areas of current research activity also are described; whenever appropriate, typical or pertinent case histories are used to illustrate a point.

A Dynamic-Programming-Styled Algorithm for a Class of Multi-Agent Optimal Task Assignment

2001 ◽  
Author(s):  
Guang Yang ◽  
Vikram Kapila ◽  
Ravi Vaidyanathan
Keyword(s):  
Dynamic Programming ◽  
Task Assignment ◽  
Research Activity ◽  
Spacecraft Formation ◽  
Assignment Algorithm ◽  
Decentralized Decision Making ◽  
Current Research Activity ◽  
Multi Agent ◽  
Global Optimal ◽  
Multiple Spacecraft

Abstract In this paper, we use a dynamic programming formulation to address a class of multi-agent task assignment problems that arise in the study of fuel optimal control of multiple agents. The fuel optimal multi-agent control is highly relevant to multiple spacecraft formation reconfiguration, an area of intense current research activity. Based on the recurrence relation derived from the celebrated principle of optimality, we develop an algorithm with a distributed computational architecture for the global optimal task assignment. In addition, we propose a communication protocol to facilitate decentralized decision making among agents. Illustrative studies are included to demonstrate the efficacy of the proposed multi-agent optimal task assignment algorithm.

Software Agent Technology

2008 ◽  
pp. 1-24 ◽  
Author(s):  
Chrysanthi E. Georgakarakou ◽  
Anastasios A. Economides
Keyword(s):  
Reference Point ◽  
Software Agents ◽  
Large Body ◽  
Software Agent ◽  
Agent Technology ◽  
Virtual Enterprises ◽  
Research Activity ◽  
Depth Analysis ◽  
Current Research Activity ◽  
Key Issues

This chapter provides an overview of the rapidly evolving area of software agents and presents the basic aspects of applying the agent technology to virtual enterprises (VE). As the field of software agents can appear chaotic, this chapter briefly introduces the key issues rather than present an in-depth analysis and critique of the field. In addition to, this chapter investigates the application of agent technology to virtual enterprises and presents current research activity that focuses on this field serving as an introductory step. Furthermore, this chapter makes a list of the most important themes concerning software agents and the application of agent technology to virtual enterprises apposing some order and consistency and serve as a reference point to a large body of literature.

scholarly journals How to Effectively Build Marketing in the Digital Era Economies

2020 ◽  
Vol 159 ◽  
pp. 04026
Author(s):  
Akmaral Orazymbetova ◽  
Berik Bekmurzayev ◽  
Akmaral Kazykeshvova ◽  
Svetlana Faizullina ◽  
Asel Kogabayeva
Keyword(s):  
Scientific Method ◽  
Swot Analysis ◽  
Digital Economy ◽  
Advanced Technology ◽  
Digital Marketing ◽  
Digital Era ◽  
Advanced Technologies ◽  
Analogue Method ◽  
Value Propositions ◽  
General Scientific

The article describes the problems and criteria for the development of marketing in the era of the digital economy. In the structure of the digital economy, the process of modifying marketing into smart-marketing (digital-marketing) happens - work that allows the use of digital advanced technologies. Thus, by analyzing “Big Data” and applying other achievements of advanced technology, it is possible to influence the compilation of needs, as well as develop and promote value propositions for consumers on the market. The article uses methods - general scientific method, i.e. analysis of world experience in transition to absolute digital economy, implementation of digitalization in all types of activities; philosophical method - is based on analytical and statistical conclusions about digitalization of economy and its impact on other activities; analogue method - the same forecasts about digitalization of marketing were taken from the theory of digital economy and its direction. As a result, based on the SWOT analysis, leaning on the strengths, weaknesses, threats and opportunities, it is possible to understand that the digital economy undoubtedly affects marketing.

Subjective Measurement Assessment in a Full Mission Scout-Attack Helicopter Simulation

1998 ◽  
Vol 42 (1) ◽  
pp. 26-30 ◽  
Author(s):  
Susan T. Heers ◽  
Patricia A. Casper
Keyword(s):  
Situation Awareness ◽  
Inverse Relationship ◽  
Advanced Technology ◽  
Stepwise Multiple Regression ◽  
Task Load ◽  
Advanced Technologies ◽  
Additional Equipment ◽  
The Us ◽  
Perceived Workload ◽  
Nasa Task Load Index

A full mission helicopter simulation was conducted in support of the US Army's Rotorcraft Pilot's Associate Advanced Technology Demonstration. Four crews flew four doctrinally correct scenarios under two mission equipment package conditions. The Advanced Mission Equipment Package (AMEP) contained additional equipment and longer sensor ranges than the Baseline Mission Equipment Package (BMEP). Following each run, pilots filled out the NASA Task Load Index (TLX) workload scales and a perceived situation awareness (SA) scale. TLX ratings were lower for the AMEP, while SA ratings were higher for the AMEP. A similar inverse relationship was found in the scenario effects. A stepwise multiple regression found a significant relationship between SA ratings and three of the component TLX subscale ratings. Both perceived workload and situation awareness ratings indicate a benefit from the advanced technologies available on the AMEP. These measures were also sensitive to the varying demands of the scenarios and pilot responsibilities.

Selected Papers from ISCIIA 2010

2011 ◽  
Vol 15 (3) ◽  
pp. 321-321
Author(s):  
Yasufumi Takama
Keyword(s):  
Fuzzy Logic ◽  
Computational Intelligence ◽  
Web Mining ◽  
Review Process ◽  
Industrial Applications ◽  
Future Research ◽  
Heilongjiang Province ◽  
Special Issue ◽  
Advanced Technologies ◽  
New Challenges

The 4th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2010), held at the Harbin University of Science and Technology in Heilongjiang Province, China, in August 2010 focused on advanced technologies for computational intelligence and industrial applications. A series of ISCIIA symposiums has provided a unique opportunity for the academic and industrial communities to address new challenges, share new-found solutions, and discuss directions for future research. Of the ISCIIA2010fs 50 papers, 11 outstanding papers have been selected for this special issue after fair and strict review process. Among this issuefs topics are fuzzy logic,Web mining, Kansei Information Processing (KIP), brain informatics, and human-centered systems. Given the importance of these topics to both the academic and industrial communities, this issue should contribute much to active exchange between both communities. As the Editor of this special issue, I thank all of the contributors and reviewers for their time and cooperation. Herefs hoping that the next ISCIIA, which is being held in Hokkaido, Japan, in 2012, will be as successful and fruitful as the 2010 symposium has been.

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