Integrating multiple intelligences and personality traits in a dynamic personal decision aid for youth

As far as the development of youth community is concerned, the implementation of a dedicated decision aid is believed to have ample potentials in building their skills in making decisions.The absence of proper guidance in making crucial decisions could cause irreversible effects to youth’s future and consequently to the development plan of the country.Accordingly, this study focuses on the development of a computerized personal decision aid for youth named as Youth Personal Decision Aid (YouthPDA).The aid manifests the integration of Personality Traits (PT) and Multiple Intelligence (MI) data in a contextual aware recommender system.The system uses Rule Based Reasoning (RBR) that will display the recommendations based on set of programmed rules. This paper also discusses findings from helpfulness evaluation of YouthPDA, which comprises of four dimensions; reliability, decision-making effort, confidence, and decision process awareness. The mean value for each dimension (which is >5) indicated that the YouthPDA is accepted to be a helpful tool for youth in making decision

Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making

Purpose. Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. Instead, this paper aims to explore the role of AI in educational leadership. Design/methodology/approach. To explore the role of AI in educational leadership, I synthesized the literature that intersects AI, decision-making, and educational leadership from multiple disciplines such as computer science, educational leadership, administrative science, judgment and decision-making and neuroscience. Grounded in the intellectual interrelationships between AI and educational leadership since the 1950s, this paper starts with conceptualizing decision-making, including both individual decision-making and organizational decision-making, as the foundation of educational leadership. Next, I elaborated on the symbiotic role of human-AI decision-making. Findings. With its efficiency in collecting, processing, analyzing data and providing real-time or near real-time results, AI can bring in analytical efficiency to assist educational leaders in making data-driven, evidence-informed decisions. However, AI-assisted data-driven decision-making may run against value-based moral decision-making. Taken together, both leaders\u27 individual decision-making and organizational decision-making are best handled by using a blend of data-driven, evidence-informed decision-making and value-based moral decision-making. AI can function as an extended brain in making data-driven, evidence-informed decisions. The shortcomings of AI-assisted data-driven decision-making can be overcome by human judgment guided by moral values. Practical implications The paper concludes with two recommendations for educational leadership practitioners\u27 decision-making and future scholarly inquiry: keeping a watchful eye on biases and minding ethically-compromised decisions. Originality/value. This paper brings together two fields of educational leadership and AI that have been growing up together since the 1950s and mostly growing apart till the late 2010s. To explore the role of AI in educational leadership, this paper starts with the foundation of leadership—decision-making, both leaders\u27 individual decisions and collective organizational decisions. The paper then synthesizes the literature that intersects AI, decision-making and educational leadership from multiple disciplines to delineate the role of AI in educational leadership

Cognitive components, information search processes, and outcomes in a decision making task

Data from 49 younger adults with a mean age of 20.8 years old was used to examine the relations among cognitive abilities, information search strategies, and decision quality. Participants completed computerized relocation tasks for hypothetical individuals. A multiple linear regression was used to test the relations among the cognitive components fluid ability (Gf), crystallized ability (Gc), working memory (WM) and decision quality. A multiple linear regression was used to test the relations among the search strategies order of information searched, amount of information searched, search selectivity, and decision quality. A hierarchical regression was used to test the relations among cognitive abilities and the search strategies. A novel affective component was also added to the decision task. Neither of the three cognitive variables, nor the three search strategy variables significantly accounted for decision quality. However, the amount of affective information viewed related to higher quality decisions. Individuals who viewed the affective information were more likely to make good decisions. Results extend prior decision-making research with the addition of the affective information. Future researchers may be able to develop more accurate models of decision making based on this ecologically valid affective information

The effectiveness of virtual facilitation in supporting GDSS appropriation and structured group decision making

Since their introduction a quarter of a century ago, group decision support systems (GDSS) have evolved from applications designed primarily to support decision making for groups in face-to-face settings, to their growing use for “web conferencing,” online collaboration, and distributed group decision-making. Indeed, it is only recently that such groupware applications for conducting face-to-face, as well as “virtual meetings” among dispersed workgroups have achieved mainstream status, as evidenced by Microsoft’s ubiquitous advertising campaign promoting its “Live Meeting” electronic meeting systems (EMS) software. As these applications become more widely adopted, issues relating to their effective utilization are becoming increasingly relevant. This research addresses an area of growing interest in the study of group decision support systems, and one which holds promise for improving the effective utilization of advanced information technologies in general: the feasibility of using virtual facilitation (system-directed multi-modal user support) for supporting the GDSS appropriation process and for improving structured group decision-making efficiency and effectiveness. A multi-modal application for automating the GDSS facilitation process is used to compare conventional GDSS-supported groups with groups using virtual facilitation, as well as groups interacting without computerized decision-making support. A hidden-profile task designed to compare GDSS appropriation levels, user satisfaction, and decision-making efficiency and effectiveness is utilized in an experiment employing auditors, accountants, and IT security professionals as participants. The results of the experiment are analyzed and possible directions for future research efforts are discussed

Examining the Present and Looking to the Future of DSS and Intelligent Systems

In many respects, the decision making capability/promise of information technology has gone unfulfilled. In fact, many organizations have not advanced much past spreadsheets when it comes to computerized decision making assistance. This research attempts to examine why this is the case, and looks to the future by asking the questions “What’s the next spreadsheet? Is there a next killer app for intelligent systems/DSS?” Fifty-eight business professionals were surveyed to assist in answering these questions. Results suggest that while the spreadsheet is still by far the most used intelligent system, continuing improvements in the ease of use of information technology are helping to allow some organizations to begin to easily test and use newer DSS technologies. As additional organizations then begin to understand the purpose and usefulness of these newer technologies, their long term impact could be substantial. Statistical results suggest that Knowledge Management and GDSS technologies have the best chance in the near term to equal the impact of spreadsheets

Sistem Pendukung Keputusan Penerimaan Karyawan Menggunakan Metode Saw pada CV. Green Advertising

 Green Advertising is one of the businesses engaged in typing and printing services. In supporting the future of the company needed quality human resources. The selection process of employee acceptance on Green Advertising is still done manually, sorting the file of applicants and then compare with the predefined criteria. This takes a long time to affect the efficiency of decision making. From these problems, then needed a sistem that can help the leadership of Green Advertising in the receipt of employees. In this research used decision support sistem using Simple Additive Weighting method with prototype development model. The Simple Additive Weighting method is a weighted sum method used to find the optimal alternative of a number of alternatives with certain criteria. The criteria used in the research of the employee selection decision support sistem are the last educational criteria, work experience, skill and completeness of the file. Result of research from Decision Support Support Sistem Employee use computerized sistem and manual sistemsprovide the same alternative options

Artificial Intelligence in Criminal Justice Settings:: Where should be the limits of Artificial Intelligence in legal decision-making? Should an AI device make a decision about human justice?

The application of Artificial Intelligence (AI) systems for high-stakes decision making is currently out for debate. In the Criminal Justice System, it can provide great benefits as well as aggravate systematic biases and introduce unprecedented ones. Hence, should artificial devices be involved in the decision-making process? And if the answer is affirmative, where should be the limits of that involvement? To answer these questions, this dissertation examines two popular risk assessment tools currently in use in the United States, LS and COMPAS, to discuss the differences between a traditional and an actuarial instrument that rely on computerized algorithms. Further analysis of the later is done in relation with the Fairness, Accountability, Transparency and Ethics (FATE) perspective to be implemented in any technology involving AI. Although the future of AI is uncertain, the ignorance with respect to so many aspects of this kind of innovative methods demand further research on how to make the best use of the several opportunities that it brings

Preliminary Design of a Joint Simulation, Analysis, and Wargaming Center for the Turkish General Staff

This study develops a framework for the design of a Joint Simulation, Analysis, and Wargaming Center (JSAWC). JSAWC is proposed as the primary decision support center for the Turkish General Staff. The complexity of warfare systems and the fog of future wars make military planning, problem solving, and decision making processes difficult to accomplish without using computerized analysis support tools. The proposed JSAWC will use modeling and simulation technology to provide analytical support for Turkish military decision-makers and planners in operations planning, force structuring, and training. An iterative systems engineering process is defined and applied to the primary design of the center. After providing a background on modeling and simulation, basic functions of the Turkish Defense System are analyzed to identify appropriate missions, users, and environment of the JSAWC. General needs, constraints, and alterables of the project are identified. Functional objectives and performance objectives of the center are examined by detailing them to the lowest possible level and connecting them with the related system behaviors. A preliminary requirement analysis is completed for the software and personnel areas based on the design objectives and necessary functions. Finally, future study plans are developed to continue the design of the center

Pitfalls of counterfactual thinking in medical practice: preventing errors by using more functional reference points

Background. Counterfactual thinking involves mentally simulating alternatives to reality. The current article reviews literature pertaining to the relevance counterfactual thinking has for the quality of medical decision making. Although earlier counterfactual thought research concluded that counterfactuals have important benefits for the individual, there are reasons to believe that counterfactual thinking is also associated with dysfunctional consequences. Of particular focus is whether or not medical experience, and its influence on counterfactual thinking, actually informs or improves medical practice. It is hypothesized that relatively more probable decision alternatives, followed by undesirable outcomes and counterfactual thought responses, can be abandoned for relatively less probable decision alternatives.Design and Methods. Building on earlier research demonstrating that counterfactual thinking can impede memory and learning in a decision paradigm with undergraduate students, the current study examines the extent to which earlier findings can be generalized to practicing physicians (N=10). Participants were asked to complete 60 trials of a computerized Monty Hall Problem simulation. Learning by experience was operationalized as the frequency of switch-decisions.Results. Although some learning was evidenced by a general increase in switch-decision frequency across block trials, the extent of learning demonstrated was not ideal, nor practical.Conclusions. A simple, multiple-trial, decision paradigm demonstrated that doctors fail to learn basic decision-outcome associations through experience. An agenda for future research, which tests the functionality of reference points (other than counterfactual alternatives) for the purposes of medical decision making, is proposed

An Approach to the Problem of Computer Simulations in Business

Computer terminals in business are becoming increasingly popular. By calling prestored programs from the computer memory and feeding necessary data from a terminal device in their offices, modern executives have been able to make better use of quantitative techniques in the decision-making process. The desk-like terminals provide executives direct access to information files of their companies and to computerized analysis of current operations. Gupta pointed out that the broad applications of terminal processing has allowed the executive greater control without stretching his span of management. If students in business courses are pre-exposed to this type of computer processing, it will undoubtedly add enrichment to their future careers in the world of business