The Internet is rapidly becoming the defining technology for literacy and, as a result, it is essential for educators to teach students to become critical consumers of online information. The increasing spread of misleading and false information accentuates this need. This project aims to: 1) develop and validate an assessment that measures students skills to critically evaluate online texts; 2) develop and test the efficiency of two instructional programs that are targeted to enhance students ability to critically evaluate online texts; 3) understand the role of motivational factors in learning critical evaluation skills, and 4) to understand whether there are gender differences in how students benefit from the motivational components that are incorporated into instruction. The Assessment for Critical Evaluation of Online Texts was tested with 265 sixth graders. The instructional programs will be developed and their effect will be tested with 360 sixth graders.

The Simulatious Localisation And Mapping (SLAM) algorithm is described as an indispensive backbone for most autonomous robotic applications. After 30-years of SLAM research dominated by Extended Kalman Filtering with well-known consistency problems and lack of global stability results, a more solid Geometric Nonlinear SLAM Observer with global convergence has been recently proposed. Despite of this, there still is a significant knowledge gap in the lack of stability guaranteed nonlinear control system design for this complex vision-based dynamic robot control.Our objective is to introduce a paradigm change to autonomous system development by bringing our novel stability-guaranteed nonlinear subsystem-based control theory to solve this open problem addressed in high impact real-world scenarios. Moreover, we address MMLRA whole-body motion estimation problem for enhancing their vision-based controllability, and their seamless integration into future autonomous digitalized worksites.

Besides the premier communication function, positioning, sensing, and security assurance are also essential for the 5G system to support future autonomous applications such as unmanned vehicles in intelligent transportation, autopilot drones, and robots in smart factories. However, the provision of these non-communications functions often suffers from segmented solutions and providers, requirements of external resources and non-identical performance. To accelerate the popularity of the private 5G network in various verticals, we propose this project to design and verify the system-on-chip (SoC) solutions for 5G native positioning, sensing and physical layer security solutions and high-performance algorithms that are hardware-friendly and energy-efficient. In the project, we will scan, select and redesign the algorithms according to the trade-off between complexity and performance. The renewed algorithms will be evaluated in the Field Programmable Gate Array (FPGA) with realistic hardware constraints. In addition, the logic interfaces will also be defined for the renewed algorithms embedded with the 5G physical layer processing and standard protocol stack. At last, the SoC solution will be developed for the positioning, sensing and physical layer security algorithms. We will also identify the toolchain from algorithm development to the SoC emulation.