• Jaime Reborn

The United States government as well as other countries are funding manned missions into the Earth’s orbit and outer space and are researching ways to implement manned missions into deep space. For such manned missions to be successful, the crew’s need to be able to have access to information would be paramount to the success of such a mission. The use of Artificial Intelligence (AI) technology, such as International Business Machines’ (IBM) Watson technology could be crucial to the success of a manned crew to be as self-supportive as possible since such a crew will not be able interact with other human beings in the same way that they would in a terrestrial environment. This study focused on the human beings, technologies, and strategies used in contemporary distance-learning environments and how such technologies and strategies could be used as a basis for facilitating a learning environment for a manned mission to the planet Mars. This will be a qualitative, descriptive, phenomenological study. The results of the study are intended to help scientists and instructors implement technology to support instructional technology and communication in an extra-terrestrial environment. The theoretical framework chosen for this study is the Technology Acceptance Model (TAM).

"Artificial Intelligence For Use In Instructional Technology In An Extra-Terrestrial Learning Environment - A Qualitative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.722-726, June-2019, Available :http://www.jetir.org/papers/JETIR1906395.pdf

"Artificial Intelligence For Use In Instructional Technology In An Extra-Terrestrial Learning Environment - A Qualitative Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp722-726, June-2019, Available at : http://www.jetir.org/papers/JETIR1906395.pdf