scholarly journals Envisioning AI for K-12: What Should Every Child Know about AI?

2019 ◽  
Vol 33 ◽  
pp. 9795-9799 ◽  
Author(s):  
David Touretzky ◽  
Christina Gardner-McCune ◽  
Fred Martin ◽  
Deborah Seehorn
Keyword(s):  
Artificial Intelligence ◽  
Science Teachers ◽  
Working Group ◽  
National Standards ◽  
National Guidelines ◽  
Call To Action ◽  
The Public ◽  
Online Resource ◽  
Teachers And Students ◽  
K 12

The ubiquity of AI in society means the time is ripe to consider what educated 21st century digital citizens should know about this subject. In May 2018, the Association for the Advancement of Artificial Intelligence (AAAI) and the Computer Science Teachers Association (CSTA) formed a joint working group to develop national guidelines for teaching AI to K-12 students. Inspired by CSTA's national standards for K-12 computing education, the AI for K-12 guidelines will define what students in each grade band should know about artificial intelligence, machine learning, and robotics. The AI for K-12 working group is also creating an online resource directory where teachers can find AI- related videos, demos, software, and activity descriptions they can incorporate into their lesson plans. This blue sky talk invites the AI research community to reflect on the big ideas in AI that every K-12 student should know, and how we should communicate with the public about advances in AI and their future impact on society. It is a call to action for more AI researchers to become AI educators, creating resources that help teachers and students understand our work.

scholarly journals Perceptions and Usages of Online Teaching Resources by South Dakota Science and Agriculture Teachers

2020 ◽  
Author(s):  
Peter T White ◽  
Madhav P Nepal ◽  
Larry M Browning ◽  
Matthew L Miller ◽  
Sharon S Vestal ◽  
...  
Keyword(s):  
Science Teachers ◽  
Online Teaching ◽  
National Standards ◽  
Teaching Resources ◽  
Teachers Perceptions ◽  
Online Curriculum ◽  
Social Media Platforms ◽  
K 12 ◽  
Science Educators ◽  
Curricular Resources

Understanding how teachers utilize, adapt, and integrate curriculum is helpful in the development and dissemination of curricular resources to better serve our teachers’ needs. Agricultural and science educators face similar challenges in selecting, adapting, and delivering curricular content in their courses. The data presented here assesses teachers’ perceptions of online curricular resources and their usage by agriculture and science teachers in K-12 classrooms. The specific research objectives were to 1) determine the teacher’s perceptions and usage of online curriculum resources and 2) determine their methods to locate and select web-based curricular resources. Analysis suggests that the curricular needs and utilization may not be discipline-specific, and that needs identified in other disciplines may have applications in agriculture and science classrooms. Teachers utilized Google, Facebook, and other social media platforms to share and locate resources but expressed the need to have better organization and classification of online resources. Resources need to be tagged with state and national standards, have references, and activities that are engaging for students and easily adaptable to teachers’ local needs and styles. Teaching pre-service teachers to better utilize existing curricular resources could lead to improved instruction and student learning while saving time. Further research into the utilization of existing curriculum by both current and pre-service teachers is warranted.

scholarly journals Teachers and Students’ Perceptions of Science and Scientists: A Comparative Study

2021 ◽  
Vol 3 (1) ◽  
pp. 126-160
Author(s):  
Suzanne El Takach ◽  
Abdullah Al Tobi
Keyword(s):  
Science Teachers ◽  
Science And Technology ◽  
Developed Countries ◽  
School Science ◽  
Private Life ◽  
The Public ◽  
The Social ◽  
Teachers And Students ◽  
Lebanese Students ◽  
Science Production

Teaching science is still relying mainly on frontal teaching and assessed by paper-and-pencil-tests. Also, students in developed countries view science production through doing experiments in a lab, that’s why these students hold a negative view about science and scientists and they do not like to choose their future careers in science. The purpose of this study is to explore Lebanese and Omani school science teachers’ and their students’ perceptions of science and scientists. Using the Draw-a-scientist-test (DAST), qualitative and quantitative data were collected from 26 Lebanese and Omani teachers and their students (N= 571) enrolled in Grades 4 till 9, in both countries, from the public sector. Results showed that the main sources of Lebanese and Omani students of their drawings are the television and the internet. In addition, these sources are significant with the increase in students’ levels. Also, Lebanese students have more stereotypical image of the scientist than Omani counterparts. Overall, Lebanese and Omani students have a positive attitude towards science and scientists, as their teachers, but they emphasized the social and the private life of the scientist. Overall, students choose to have a future career in science and technology; but Omani students choose to have a career in science and technology more than the Lebanese ones. In addition, female students showed a higher interest in doing science in the future more than technology. Finally, Lebanese students do not have common contemporary or past Arab scientists as their Omani peers, but only scientists from the western culture. Data revealed that Einstein was the most popular idol among the sample of the study.

scholarly journals Big Data, Big Changes? A Survey of K-12 Science Teachers in the United States on Which Data Sources and Tools They Use in the Classroom

2021 ◽  
Author(s):  
Joshua Rosenberg ◽  
Elizabeth Schultheis ◽  
Melissa Kjelvik ◽  
Aaron Reedy ◽  
Omiya Sultana
Keyword(s):  
United States ◽  
Science Teachers ◽  
The United States ◽  
Data Sources ◽  
Practice Research ◽  
Small Data ◽  
Data Sets ◽  
Data Practices ◽  
Teachers And Students ◽  
K 12

The tools that scientists and engineers analyze data are changing—and at the same time, science education standards have shifted to focus on science practices that articulate multiple ways for teachers to support students to make sense of data in science classrooms. Moreover, the types of data and technologies available to teachers and students to support their work with data have advanced. While these changes and features point to the importance of data, practices that relate to data, and the roles of technology, little research has offered a portrait of what teachers presently use. We report on findings from a survey conducted in the United States of 330 science teachers on the data sources, practices, and technologies common to their classroom. We found that teachers predominantly involve their students in analyzing relatively small data sets that they collect. In support of this work, teachers tend to use the technologies that are available to them—namely, calculators and spreadsheets. We discuss what these findings suggest for practice, research, and policy, with an emphasis on supporting teachers based on their needs.

scholarly journals Making the Case for the Public Benefits of Development-led Archaeology

2021 ◽  
Author(s):  
Barney Sloane
Keyword(s):  
Case Studies ◽  
Working Group ◽  
The Public ◽  
Public Benefit ◽  
Public Benefits ◽  
Online Resource

This paper provides an update on progress of the EAC Working Group for public benefit from development led archaeology, giving the background to the concept as well as outlining why the EAC is developing guidance for establishing public benefit. Understanding that there are many stakeholders all of whom have their own values and priorities will be key. An online resource with case studies showcasing public benefit is under production. This article is an adaptation of Sloane (2020).

Towards a Customized¬ Awareness Campaign to Educate the Public about COVID-19: Development and Validation of a Messaging Campaign to Promote Precautionary Behavior Using Geospatial Intelligence in Saudi Arabia (Preprint)

2020 ◽  
Author(s):  
Mayda Alrige ◽  
Hind Bitar Bitar ◽  
Maram Meccawi ◽  
Balakrishnan Mullachery
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Content Validity ◽  
Awareness Campaign ◽  
Artificial Intelligence Technique ◽  
The Public ◽  
High Infection ◽  
Local Map ◽  
The City ◽  
Intelligence Technique

BACKGROUND Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease, such as Covid-19. In Saudi Arabia, many attempts have been made toward raising the public awareness about Covid-19 infection-level and its precautionary health measures that have to be taken. Although this is useful, most of the health information delivered through the national dashboard and the awareness campaign are very generic and not necessarily make the impact we like to see on individuals’ behavior. OBJECTIVE The objective of this study is to build and validate a customized awareness campaign to promote precautionary health behavior during the COVID-19 pandemic. The customization is realized by utilizing a geospatial artificial intelligence technique called Space-Time Cube (STC) technique. METHODS This research has been conducted in two sequential phases. In the first phase, an initial library of thirty-two messages was developed and validated to promote precautionary messages during the COVID-19 pandemic. This phase was guided by the Fogg Behavior Model (FBM) for behavior change. In phase 2, we applied STC as a Geospatial Artificial Intelligence technique to create a local map for one city representing three different profiles for the city districts. The model was built using COVID-19 clinical data. RESULTS Thirty-two messages were developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The enumerated content validity of the messages was established through the utilization of Content Validity Index (CVI). Thirty-two messages were found to have acceptable content validity (I-CVI=.87). The geospatial intelligence technique that we used showed three profiles for the districts of Jeddah city: one for high infection, another for moderate infection, and the third for low infection. Combining the results from the first and second phases, a customized awareness campaign was created. This awareness campaign would be used to educate the public regarding the precautionary health behaviors that should be taken, and hence help in reducing the number of positive cases in the city of Jeddah. CONCLUSIONS This research delineates the two main phases to developing a health awareness messaging campaign. The messaging campaign, grounded in FBM, was customized by utilizing Geospatial Artificial Intelligence to create a local map with three district profiles: high-infection, moderate-infection, and low-infection. Locals of each district will be targeted by the campaign based on the level of infection in their district as well as other shared characteristics. Customizing health messages is very prominent in health communication research. This research provides a legitimate approach to customize health messages during the pandemic of COVID-19.

Anniversary of the first national standards for geodetic instruments

2019 ◽  
Vol 946 (4) ◽  
pp. 20-25
Author(s):  
O. K. Golubkova ◽  
A.I. Spiridonov
Keyword(s):  
Public Service ◽  
Positive Impact ◽  
State Standards ◽  
National Standards ◽  
Technical Level ◽  
Instrument Making ◽  
The Public ◽  
Technical Requirements ◽  
Basic Parameters ◽  
Technical Specifications

State standards on the types, basic parameters of levels and theodolites as well as technical requirements were developed in CNIIGAiK in 1962–1963. The authors indicate the experience of developing the first State standards for geodetic instrument making, the difficulties encountered in developers. In this article the main stages of preparation of State standards, including action algorithm from technical specifications to submissions for the approval of the public service are marked step-by-step. The types of levels and theodolites, and the basic technical characteristics for each type are described. During 55 years the positive impact in the areas of production and application of standardized levels and theodolites, inter alia, streamlining the issuance of standard sizes of devices, increased production and improved their quality and technical level was revealed.

Living machines in our cultural imagination

2018 ◽  
Author(s):  
Michael Szollosy
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Public Perceptions ◽  
Human Condition ◽  
Cultural Imagination ◽  
The Public ◽  
The Enlightenment ◽  
The Future ◽  
Public Imagination ◽  
The Human Condition

Public perceptions of robots and artificial intelligence (AI)—both positive and negative—are hopelessly misinformed, based far too much on science fiction rather than science fact. However, these fictions can be instructive, and reveal to us important anxieties that exist in the public imagination, both towards robots and AI and about the human condition more generally. These anxieties are based on little-understood processes (such as anthropomorphization and projection), but cannot be dismissed merely as inaccuracies in need of correction. Our demonization of robots and AI illustrate two-hundred-year-old fears about the consequences of the Enlightenment and industrialization. Idealistic hopes projected onto robots and AI, in contrast, reveal other anxieties, about our mortality—and the transhumanist desire to transcend the limitations of our physical bodies—and about the future of our species. This chapter reviews these issues and considers some of their broader implications for our future lives with living machines.

Research on the strategy of intelligent analysis to improve sports person psychological experience in the era of artificial intelligence

2021 ◽  
pp. 1-11
Author(s):  
Lei Wu ◽  
Juan Wang ◽  
Long Jin ◽  
P. Hemalatha ◽  
R Premalatha
Keyword(s):  
Artificial Intelligence ◽  
Vital Role ◽  
Performance Ratio ◽  
Psychological Experience ◽  
The Public ◽  
Usable Knowledge ◽  
Intelligent Analysis ◽  
Accuracy Ratio ◽  
Depression Level ◽  
Predictive Research

Artificial intelligence (AI) is an excellent potential technology that is evolving day-to-day and a critical avenue for exploration in the world of computer science & engineering. Owing to the vast volume of data and the eventual need to turn this data into usable knowledge and realistic solutions, artificial intelligence approaches and methods have gained substantial prominence in the knowledge economy and community world in general. AI revolutionizes and raises athletics to an entirely different level. Although it is clear that analytics and predictive research have long played a vital role in sports, AI has a massive effect on how games are played, structured, and engaged by the public. Apart from these, AI helps to analyze the mental stability of the athletes. This research proposes the Artificial Intelligence assisted Effective Monitoring System (AIEMS) for the specific intelligent analysis of sports people’s psychological experience. The comparative analysis suggests the best AI strategies for analyzing mental stability using different criteria and resource factors. It is observed that the growth in the present incarnation indicates a promising future concerning AI use in elite athletes. The study ends with the predictive efficiency of particular AI approaches and procedures for further predictive analysis focused on retrospective methods. The experimental results show that the proposed AIEMS model enhances the athlete performance ratio of 98.8%, emotion state prediction of 95.7%, accuracy ratio of 97.3%, perception level of 98.1%, and reduces the anxiety and depression level of 15.4% compared to other existing models.

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