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Culturally Responsive Education in Design and the Arts
March 1, 2019, 8:30 am- 5:00 pm
Minneapolis College, 1501 Hennepin Avenue in Minneapolis
AND online via Adobe Connect and Zoom
Closed-Captioning Videos and Creating Syllabi and Classroom Materials That Are Accessible to All 1:15-2:30PM
Brittany Mammenga, Captioning Coordinator
Manee Yang, Digital Access and Assistive Tech Specialist
Adobe Connect https://webmeeting.minnstate.edu/session2accessibility
4 Ways AI Education and Ethics Will Disrupt Society in 2019
By Tara Chklovski Jan 28, 2019
In 2018 we witnessed a clash of titans as government and tech companies collided on privacy issues around collecting, culling and using personal data. From GDPR to Facebook scandals, many tech CEOs were defending big data, its use, and how they’re safeguarding the public.
Meanwhile, the public was amazed at technological advances like Boston Dynamic’s Atlas robot doing parkour, while simultaneously being outraged at the thought of our data no longer being ours and Alexa listening in on all our conversations.
1. Companies will face increased pressure about the data AI-embedded services use.
2. Public concern will lead to AI regulations. But we must understand this tech too.
In 2018, the National Science Foundation invested $100 million in AI research, with special support in 2019 for developing principles for safe, robust and trustworthy AI; addressing issues of bias, fairness and transparency of algorithmic intelligence; developing deeper understanding of human-AI interaction and user education; and developing insights about the influences of AI on people and society.
This investment was dwarfed by DARPA—an agency of the Department of Defence—and its multi-year investment of more than $2 billion in new and existing programs under the “AI Next” campaign. A key area of the campaign includes pioneering the next generation of AI algorithms and applications, such as “explainability” and common sense reasoning.
Federally funded initiatives, as well as corporate efforts (such as Google’s “What If” tool) will lead to the rise of explainable AI and interpretable AI, whereby the AI actually explains the logic behind its decision making to humans. But the next step from there would be for the AI regulators and policymakers themselves to learn about how these technologies actually work. This is an overlooked step right now that Richard Danzig, former Secretary of the U.S. Navy advises us to consider, as we create “humans-in-the-loop” systems, which require people to sign off on important AI decisions.
3. More companies will make AI a strategic initiative in corporate social responsibility.
Google invested $25 million in AI for Good and Microsoft added an AI for Humanitarian Action to its prior commitment. While these are positive steps, the tech industry continues to have a diversity problem
4. Funding for AI literacy and public education will skyrocket.
Ryan Calo from the University of Washington explains that it matters how we talk about technologies that we don’t fully understand.
OPINION: Can this 12-step program from Finland aid U.S. education?
n Finland, we heard none of the clichés common in U.S. education reform circles, like “rigor,” “standards-based accountability,” “data-driven instruction,” “teacher evaluation through value-added measurement” or getting children “college- and career-ready” starting in kindergarten.
Instead, Finnish educators and officials constantly stressed to us their missions of helping every child reach his or her full potential and supporting all children’s well-being. “School should be a child’s favorite place,” said Heikki Happonen, an education professor at the University of Eastern Finland and an authority on creating warm, child-centered learning environments.
How can the United States improve its schools? We can start by piloting and implementing these 12 global education best practices, many of which are working extremely well for Finland:
1) Emphasize well-being.
2) Upgrade testing and other assessments.
3) Invest resources fairly.
4) Boost learning through physical activity.
5) Change the focus. Create an emotional atmosphere and physical environment of warmth, comfort and safety so that children are happy and eager to come to school. Teach not just basic skills, but also arts, crafts, music, civics, ethics, home economics and life skills.
6) Make homework efficient. Reduce the homework load in elementary and middle schools to no more than 30 minutes per night, and make it responsibility-based rather than stress-based.
7) Trust educators and children. Give them professional respect, creative freedom and autonomy, including the ability to experiment, take manageable risks and fail in the pursuit of success.
8) Shorten the school day. Deliver lessons through more efficient teaching and scheduling, as Finland does. Simplify curriculum standards to a framework that can fit into a single book, and leave detailed implementation to local districts.
9) Institute universal after-school programs.
10) Improve, expand and destigmatize vocational and technical education. Encourage more students to attend schools in which they can acquire valuable career/trade skills.
11) Launch preventive special-education interventions early and aggressively.
12) Revamp teacher training toward a medical and military model. Shift to treating the teaching profession as a critical national security function requiring government-funded, graduate-level training in research and collaborative clinical practice, as Finland does.
more on Finland Phenomenon in this IMS blog
- Perceived usefulness (PU) – This was defined by Fred Davis as “the degree to which a person believes that using a particular system would enhance his or her job performance“.
- Perceived ease-of-use (PEOU) – Davis defined this as “the degree to which a person believes that using a particular system would be free from effort” (Davis 1989).
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW. MIS Quarterly, 27(3), 425-478.
proposing a Social Media Adoption Model (SMAM) for the academic community
Social media platforms provide an easy alternative, to the academic community, as compared to official communications such as email and blackboard. my note: this has been established as long as back as in 2006 – https://www.chronicle.com/article/E-Mail-is-for-Old-People/4169. Around the time, when SCSU announced email as the “formal mode of communication).Thus, it is emerging as a new communication and collaboration tool among the academic community in higher education institutions (Roblyer, McDaniel, Webb, Herman, & Witty, 2010). Social media has greatly changed the communication/feedback environment by introducing technologies that have modified the educational perspective of learning and interacting (Prensky, 2001).
Theory of Reasoned Action : https://en.wikipedia.org/wiki/Theory_of_reasoned_action
the Theory of Reasoned Action (Fishbein & Ajzen, 1975) and the Technology Acceptance Model (Davis, 1989) have been used to assess individuals’ acceptance and use of technology. According to the Technology Acceptance Model, perceived usefulness and perceived ease are the main determinants of an individual’s behavioral intentions and actual usage (Davis, 1989).
Perceived usefulness, derived from the Technology Acceptance Model (TAM), is the particular level that an individual perceives that they can improve their job performance or create ease in attaining the targeted goals by using an information system. It is also believed to make an individual free from mental pressure (Davis, 1989).
Perceived ease of use can be defined as the level to which an individual believes that using a specific system will make a task easier (Gruzd, Staves, & Wilk, 2012) and will reduce mental exertion (Davis, 1989). Venkatesh (2000) posits this construct as a vital element in determining a user’s behavior toward technology. Though generally, there is consensus on the positive effect of perceived ease of use and perceived usefulness on users’ attitude towards social media, it is not yet clear which one of these is more relevant in explaining users’ attitude towards social media in the academic community (Lowry, 2002). Perceived ease of use is one of the eminent behavioral beliefs affecting the users’ intention toward technology acceptance (Lu et al., 2005). The literature suggests that perceived ease of use of technology develops a positive attitude toward its usage (Davis, 1989).
Collaborative learning is considered as an essential instructional method as it assists in overcoming the communication gap among the academic community (Bernard, Rubalcava, & St-Pierre, 2000). The academic community utilizes various social media platforms with the intention to socialize and communicate with others and to share common interests (Sánchez et al., 2014; Sobaih et al., 2016). The exchange of information through social media platforms help the academic community to develop an easy and effective communication among classmates and colleagues (Kaplan & Haenlein, 2010). Social media platforms can also help in developing communities of practice that may help improve collaboration and communication among members of the community (Sánchez et al., 2014). Evidence from previous work confirms that social media platforms are beneficial to college and university students for education purposes (Forkosh-Baruch & Hershkovitz, 2012). Due to the intrinsic ease of use and usefulness of social media, academics are regularly using information and communication technologies, especially social media, for collaboration with colleagues in one way or the other (Koh & Lim, 2012; Wang, 2010).
more about social media in education in this IMS blog
Survey of American College Students: Use of Library Specialized Technology, Group & Individual Study Rooms (ISBN No:978-157440-530-9 )
The 100-page study presents data from 1,140 college students from 4-year colleges in the United States concerning their use of specialized library technology, group and individual study rooms. The report enables its end users to answer questions such as: which students use individual and group study rooms? Which use specialized technology rooms? How often do they use them?
Data in the report is presented in the aggregate and then broken out separately for sixteen different variables including but not limited to: college grades, gender, income level, year of college standing, SAT/ACT scores, regional origin, age, sexual orientation, race & ethnicity, college major and other personal variables, and by Carnegie class, enrollment size and public/private status of the survey participants institutions of higher education.
Opening Education: Using Open Education & Open Pedagogy to Transform Learning and the Educational Experience
The Open Education Southern Symposium at the University of Arkansas is accepting proposals for its day and a half conference on Monday, Oct. 1 and Tuesday, Oct. 2, 2018. Proposals should fall into one of three categories:
o Presentations: 15-20 minutes (Please allow 10 to 15 minutes for Q&A after presentations.)
o Panel Discussions: 45 minutes (Please allow 10 to 15 minutes for Q&A after panel discussions.)
o Lightning Talks: 7 minutes (A short 5 to 10 minute Q&A will follow all lightning presentations.)
We welcome proposals from organizations, including colleges and universities of all sizes, community colleges, special libraries, and any others involved in open education and open pedagogy. We’re particularly interested in proposals with topics centering around:
o Adoption and creation of resources
o Publishing platforms
o Best practices and the impact of Open Education
o Creative Commons, copyright, and other licensing
o Marketing and advocacy
o Pedagogy and student success, including K-12 highlights
o Instructional design strategies for OER
o Trends and innovation
o OER in community colleges
o Tenure, promotion, and OER
o OER community building
o Inclusion and diversity in Open Education
- The deadline for submissions is May 31, 2018 at 11:59 p.m. Central Time. The submission form can be found on our eventwebsite under the Call for Proposals page.
- Proposal social media summaries should not exceed 240 characters (spaces included).
- Proposal abstracts should not exceed 2000 characters or approximately 500 words.
- All submissions will be evaluated based on the relevance of the topic and potential to advance the thinking or practice of Open Education and Open Pedagogy. Proposal reviewers will use similar proposal criteria to those being used by the Open Education Conference and OER18.
- The planning committee will deliver decisions by June 29, 2018.
- Presenters will be asked to accept or decline invitation to present by July 13, 2018.
- All presenters will be required to register for the symposium.
If you have any questions, please contact Stephanie Pierce, Head of the Physics Library at the University of Arkansas (firstname.lastname@example.org), or the Open Education Southern Symposium Planning Committee.
Registration is $99 for our day and a half event on October 1 & 2, 2018 at the University of Arkansas. Registration covers full participation for both days, shuttle service between the hotel and event location, lunch on the first day, snacks and beverages, and event goodies.
For more information, check out the symposium website:
China’s children are its secret weapon in the global AI arms race
more on AR in this IMS blog
more on China education in this IMS blog
Bibliography on virtual reality and students with physical and cognitive disabilities
Jeffs, T. L. (2009). Virtual Reality and Special Needs. Themes In Science And Technology Education, 2(1-2), 253-268.
Lahav, O., Sharkey, P., & Merrick, J. (2014). Virtual and augmented reality environments for people with special needs. International Journal Of Child Health And Human Development, 7(4), 337-338.
Cai, Y., Chiew, R., Nay, Z. T., Indhumathi, C., & Huang, L. (2017). Design and development of VR learning environments for children with ASD. Interactive Learning Environments, 25(8), 1098-1109. doi:10.1080/10494820.2017.1282877
Passig, D. (2011). The Impact of Immersive Virtual Reality on Educators’ Awareness of the Cognitive Experiences of Pupils with Dyslexia. Teachers College Record, 113(1), 181-204.
Ke, F., & Im, T. (2013). Virtual-Reality-Based Social Interaction Training for Children with High-Functioning Autism. Journal Of Educational Research, 106(6), 441-461. doi:10.1080/00220671.2013.832999
Collins, J., Hoermann, S., & Regenbrecht, H. (2016). Comparing a finger dexterity assessment in virtual, video-mediated, and unmediated reality. International Journal Of Child Health And Human Development, 9(3), 333-341.
Epure, P., Gheorghe, C., Nissen, T., Toader, L. O., Macovei, A. N., Nielsen, S. M., & … Brooks, E. P. (2016). Effect of the Oculus Rift head mounted display on postural stability. International Journal Of Child Health And Human Development, 9(3), 343-350.
Sánchez, J., & Espinoza, M. (2016). Usability and redesign of a university entrance test based on audio for learners who are blind. International Journal Of Child Health And Human Development, 9(3), 379-387.
Rizzo, A. A., Bowerly, T., Shahabi, C., Buckwalter, J. G., Klimchuk, D., & Mitura, R. (2004). Diagnosing Attention Disorders in a Virtual Classroom. Computer (00189162), 37(6), 87-89.
Eden, S. (2008). The effect of 3D virtual reality on sequential time perception among deaf and hard-of-hearing children. European Journal Of Special Needs Education, 23(4), 349-363. doi:10.1080/08856250802387315
Eden, S., & Bezer, M. (2011). Three-dimensions vs. two-dimensions intervention programs: the effect on the mediation level and behavioural aspects of children with intellectual disability. European Journal Of Special Needs Education, 26(3), 337-353. doi:10.1080/08856257.2011.593827
Lorenzo, G., Lledó, A., Roig, R., Lorenzo, A., & Pomares, J. (2016). New Educational Challenges and Innovations: Students with Disability in Immersive Learning Environments. In Virtual Learning. InTech. https://doi.org/10.5772/65219
more on virtual reality in this IMS blog
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