Civilian Regimes after Nimeiri: Business as Usual 1986-1989

This study, which was reviewed through the Registered Report process, examined the initial efficacy of the Scientific Explorers program (Sci2) on second-grade students’ science achievement. Sci2 is grounded in the growing body of empirical research on science instruction, embedding principles of explicit instruction within a guided inquiry-based design framework. Eighteen second-grade classrooms were randomly assigned to treatment or control conditions. A cluster randomized controlled trial was employed, with 294 students nested within classrooms and classrooms nested within condition. The Sci2 program was implemented for a total of 10 lessons (5 hr) in treatment classrooms, whereas control classrooms provided business-as-usual science instruction. Overall treatment effects were observed on three of four science outcome measures. The reported effects were moderate to large, with effect sizes (Hedges’ g) ranging from 0.48 to 0.94. Moderation analyses indicated that science knowledge at pretest did not moderate Sci2’s effects. Implications for practice and research are discussed.

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Human, AI, Robot Teaming and the Future of Work: Barriers and Opportunities for Advancement

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641018 ◽

2020 ◽

Vol 64 (1) ◽

pp. 62-66

Author(s):

Erin K. Chiou ◽

Eric Holder ◽

Igor Dolgov ◽

Kaleb McDowell ◽

Lance Menthe ◽

...

Keyword(s):

Economic Value ◽

Panel Discussion ◽

Well Being ◽

Future Of Work ◽

Global Workforce ◽

Big Ideas ◽

The Future ◽

Barriers And Opportunities ◽

Business As Usual ◽

And Robotics

Global investments in artificial intelligence (AI) and robotics are on the rise, with the results to impact global economies, security, safety, and human well-being. The most heralded advances in this space are more often about the technologies that are capable of disrupting business-as-usual than they are about innovation that advances or supports a global workforce. The Future of Work at the Human-Technology Frontier is one of NSF’s 10 Big Ideas for research advancement. This panel discussion focuses on the barriers and opportunities for a future of human and AI/robot teaming, with people at the center of complex systems that provide social, ethical, and economic value.

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