DL Students--GREAT news! The UAH Interactive Schedule:http://www.uah.edu/cgi-bin/schedule.pl now allows you to query classes based on course modality, including Online, Hybrid, and Traditional Instructional Methods. This should make finding the right online course for you at UAH much easier. Registration just opened Tuesday of this week, so check out the new search functionality now and let us know how you like it.

 

 

It's National Distance Learning Week Next Week( 11/10/14- 11/14/14)! Check back for updates on webinars, online events, and more!

Check out these current Webinars!

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National Distance Learning Week--November 10-14, 2014


What will you do for NDLW 2014?

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Purpose:

The purpose of National Distance Learning Week (NDLW) is to generate greater awareness and appreciation for distance learning, including K-12, Higher Education, Corporate and Military, while recognizing leaders and best practices in the field.

Goal:

For schools, colleges, and corporations to conduct local events during NDLW to celebrate and promote the field of online learning.

When:

November 10 - 14, 2014

Who:

Professionals engaged in the day-to-day practice of distance learning (schools, colleges, corporations, military) and individuals and organizations providing products and services being distributed via online, video conferencing and satellite technologies.

Sponsors:

  

     

 

   

 

For more information on NDLW contact USDLA at1.800.275.5162.

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About United States Distance Learning Association (USDLA)
The United States Distance Learning Association (USDLA) is a non-profit association formed in 1987 and is located in Boston, Massachusetts. The association reaches 20,000 people globally with sponsors and members operating in and influencing 46% of the $913 billion dollar U.S. education and training market. USDLA promotes the development and application of distance learning for education and training and serves the needs of the distance learning community by providing advocacy, information, networking and opportunity. Distance learning and training constituencies served include pre-k-12 education, higher and continuing education, home schooling as well as business, corporate, military, government and telehealth markets. The USDLA trademarked logo is the recognized worldwide symbol of dedicated professionals committed to the distance learning industry. http://www.usdla.org

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Celebrate National Distance Learning Week with QM and USDLA!

 

Benjamin Daniel

 

Benjamin Daniel

Communications Specialist at Quality Matters

 
 

Learn what you always wanted to know about QM but were afraid to ask. During National Distance...

 
 

NDLW Webinar: Continuous Improvement in quality course design - what is Quality Matters?

Wednesday, November 12, 2014 9:30-10:30 Continuous Improvement in quality course design - what is Quality Matters? Presenter: Ron Legon & Brenda Boyd Constituency: ALL Come and learn what you always wanted to know about Quality Matters but were...

 
 
 

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A Quantitative Model of Relative Ethical Violation for Use in Military Decision-Making


Dr. Gregory S. Reed, Modeling and Simulation,  University of Alabama in Huntsvill

 Friday, March 7, 2014                     3:00 p.m. - 4:00 p. m.               Shelby Center Room 218

 

ABSTRACT

As the embodiment of rational cause-and-effect, game and decision theory dominated the second half of the 20th century and continue to flourish today. Machine ethics, a very nascent field, involves developing machines (either as tangible hardware or as mathematical or logical models) with ethics codified as principles and procedures, in turn allowing them to consider moral "cause-and-effect" of potential actions.

A model known as the Metric of Evil (the "Metric") was first conceived by a branch of the United States Army, primarily intended for use by the Army itself.  The Metric was inspired by a perceived gap in military course of action analysis: ethical dilemmas arising from the shift from conventional soldier-to-soldier combat to modern asymmetrical warfare.  The Metric compared and suggested courses of action by incorporating their tangible, concrete, direct consequences---such as the expected number of international treaties broken, facilities destroyed, and combatant and civilian casualties expected to be caused by each action.

The Army consulted a team of researchers at the University of Alabama in Huntsville, led by the author of this dissertation, to refine the Metric so that it would simulate the “behavior” of ethics and military experts in evaluating courses of action.  The Metric's evaluation was reduced to a single consequence---whether or not civilian casualties were involved.  Using this single consequence, the Metric was able to match expert assessments.  Thus, results were excellent "on paper"; however, intuition indicated that this did not meaningfully capture how ethical assessments are made.

This research involves the development of an alternate approach---the Relative Ethical Violation (REV) model.  This model evaluates potential actions based upon the principles they may violate rather than the tangible consequences that they may cause. In developing the model, the author first conducted an extended review of the literature, which provided insight on ethics and psychological factors, model design and validation, and solicitation of information via survey.  Then, he carefully chose a potentially meaningful set of ethical principles as input to the model. Finally, he designed and implemented the REV, the survey process through which expert assessments would be collected, and the process of validating and calibrating both the REV and the Metric so that both approaches could be compared.

Ultimately, this research found that human raters, including experts, disagreed greatly amongst themselves, which complicated the process of calibrating the model.  However, amid this disagreement emerged several meaningful results. First, the REV outperformed a re-calibrated Metric, the Metric outperformed experts, experts outperformed non-experts, and non-experts outperformed simple random selection of actions.  Second, human raters tended to value some principles over others; that is, no given ethical principle---even "civilian non-maleficence"---completely overshadowed the others.  Third, there was a clear difference between how military experts, humanities experts, and non-experts assessed ethical dilemmas and valued certain principles. 

Collectively, these results indicate that the principles-based approach behind the REV can provide a clearer ethical picture than can a checklist of tangible consequences and that such an approach can provide ethical support for decision-making, and that aspects of this research can contribute to machine ethics, decision analysis, and modeling and simulation.

 

 

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