Modeling in ethnocomputing: replacing bi-directional flows with recursive emergence

Ethnocomputing is the study of the intersections between culture and computing. In addition to cultural analysis of computing, it also utilizes computing to model artifacts or practices from a given culture. In this essay, we consider three modes of modeling. In the first mode, the knowledge flow is unidirectional: the researcher analyzes indigenous designs and provides a computing model. In the second mode, the knowledge flow is bidirectional with researchers bringing a technical etic (outsider) perspective and informants bringing a cultural emic (insider) perspective. In the third mode, knowledge flow is recursive; there are bidirectional flows nested within other bidirectional flows. Our case study begins with computer simulations of log curves in Adinkra symbols in Ghana. Thus, we show that there are nested flows between nature and the indigenous artisans who model nature’s growth patterns; between our own ethnocomputing simulations and the students and teachers in Ghanaian classrooms; and finally between the history of computing in the West and the implementation of educational technology. Our data indicates that a recursive model that can account for these nested flows better enables researchers to integrate social justice and sustainability with education and research in both social and technical domains

2006 Scholar\u27s Day Program

Scholars\u27 Day was established in 1997 and is a day-long conference devoted to showcasing the wide array of scholarship, research and creative activities occurring on campus. In 2012, a new emphasis on student research lead to a name change to Transformations: A Student Research and Creativity Conference. This event focuses on student research, which is defined as an original investigation or creative activity through the primary efforts of a student or group of students. The work should show problem-solving skills and demonstrate new conceptual outcomes.https://digitalcommons.cortland.edu/transformationsprograms/1016/thumbnail.jp

Current and Future Perspectives of Ethnomathematics as a Program

Mathematics Education; Learning; Teachin

Association of Architecture Schools in Australasia

"Techniques and Technologies: Transfer and Transformation", proceedings of the 2007 AASA Conference held September 27-29, 2007, at the School of Architecture, UTS

Perceived value of faculty-developed course websites: A student-faculty comparison

This study is a case-study examination of faculty-developed course websites and their usage within a single mid-western community college environment. Its purpose is to develop an understanding of the perceived value of selected course websites from both student and faculty perspectives based on website design and use. The study analyzes course websites from instructional and technological theoretical perspectives, drawing from literature in the fields of education and technology studies. To understand course websites within the context of their usage, three selected course websites were paired with the instructor and a subset of students to form a case study unit. The case study methodology offered an opportunity for in-depth qualitative data collection through theory-driven examination of website features, observation of website use, and in-depth interviews with students and faculty. Study findings indicate that perceived value is strengthened by the amount and quality of course-specific content while lessened by irrelevant content and/or lack of significant content. Because constructivist strategies embody interactive learning styles, web-enabling interactive content on course websites has the potential to create constructivist learning opportunities. Several factors influence course websites design and perceived value perspectives. Included among these are student involvement in the design process, professional development opportunities that support faculty development of course websites, faculty members technical abilities, and institutional support

REU Site: Supercomputing Undergraduate Program in Maine (SuperMe)

This award, for a new Research Experience for Undergraduates (REU) site, builds a Supercomputing Undergraduate Program in Maine (SuperMe). This new site provides ten-week summer research experiences at the University of Maine (UMaine) for ten undergraduates each year for three years. With integrated expertise of ten faculty researchers from both computer systems and domain applications, SuperMe allows each undergraduate to conduct meaningful research, such as developing supercomputing techniques and tools, and solving cutting-edge research problems through parallel computing and scientific visualization. Besides being actively involved in research groups, students attend weekly seminars given by faculty mentors, formally report and present their research experiences and results, conduct field trips, and interact with ITEST, RET and GK-12 participants. SuperMe provides scientific exploration ranging from engineering to sciences with a coherent intellectual focus on supercomputing. It consists of four computer systems projects that aim to improve techniques in grid computing, parallel I/O data accesses, high-resolution scientific visualization and information security, and five computer modeling projects that utilize world-class supercomputing and visualization facilities housed at UMaine to perform large, complex simulation experiments and data analysis in different science domains. SuperMe provides a diversity of cutting-edge research opportunities to students from under-represented groups or from universities in rural areas with limited research opportunities. Through interacting directly with the participant of existing programs at UMaine, including ITEST, RET and GK-12, REU students disseminates their research results and experiences to middle and high school students and teachers. This site is co-funded by the Department of Defense in partnership with the NSF REU Site program

AI for a Generative Economy: The Role of Intelligent Systems in Sustaining Unalienated Labor, Environment, and Society

Extractive economies pull value from a system without restoring it. Unsustainable extraction of ecological value includes over-fishing, clear-cut logging, etc. Extraction of labor value is similarly objectionable: assembly line jobs for example increase the likelihood of cardiovascular disease, depression, suicide and other problems. Extraction of social value--vacuuming up online personal information, commodification of the public sphere, and so on-- constitutes a third form. But all three domains--ecological value, labor value, and social value--can thrive in unalienated forms if we can create a future of work that replaces extraction with generative cycles. AI is a key technology in developing these alternative economic forms. This paper describes some initial experiments with African, African American, and Native American artisans who were willing to experiment with the introduction of computational enhancements to their work. Following our report on these initial results, we map out a vision for how AI could scale up labor that sustains “heritage algorithms”, ecologically situated value chains and other hybrid forms that prevent value alienation while flourishing from its robust circulation.NSF grant DRL-1640014NSF grant DGE-0947980Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150647/1/FSS-19_paper_64.pdfDescription of FSS-19_paper_64.pdf : Preprint Versio

The Ithacan, 1996-03-28

https://digitalcommons.ithaca.edu/ithacan_1995-96/1023/thumbnail.jp

Internet of Things (IoT) for Automated and Smart Applications

Internet of Things (IoT) is a recent technology paradigm that creates a global network of machines and devices that are capable of communicating with each other. Security cameras, sensors, vehicles, buildings, and software are examples of devices that can exchange data between each other. IoT is recognized as one of the most important areas of future technologies and is gaining vast recognition in a wide range of applications and fields related to smart homes and cities, military, education, hospitals, homeland security systems, transportation and autonomous connected cars, agriculture, intelligent shopping systems, and other modern technologies. This book explores the most important IoT automated and smart applications to help the reader understand the principle of using IoT in such applications