L@S 2016: Third (2016) ACM Conference on Learning @ Scale Apr 25, 2016-Apr 26, 2016 Edinburgh, Scotland Uk. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.

An approach to performance-based assessments that embeds assessments in digital games in order to measure how students are progressing toward targeted goals. To succeed in today's interconnected and complex world, workers need to be able to think systemically, creatively, and critically. Equipping K-16 students with these twenty-first-century competencies requires new thinking not only about what should be taught in school but also about how to develop valid assessments to measure and support these competencies. In Stealth Assessment, Valerie Shute and Matthew Ventura investigate an approach that embeds performance-based assessments in digital games. They argue that using well-designed games as vehicles to assess and support learning will help combat students' growing disengagement from school, provide dynamic and ongoing measures of learning processes and outcomes, and offer students opportunities to apply such complex competencies as creativity, problem solving, persistence, and collaboration. Embedding assessments within games provides a way to monitor players' progress toward targeted competencies and to use that information to support learning. Shute and Ventura discuss problems with such traditional assessment methods as multiple-choice questions, review evidence relating to digital games and learning, and illustrate the stealth-assessment approach with a set of assessments they are developing and embedding in the digital game Newton's Playground. These stealth assessments are intended to measure levels of creativity, persistence, and conceptual understanding of Newtonian physics during game play. Finally, they consider future research directions related to stealth assessment in education.

This volume includes the papers presented at the 20th International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2022), organized in conjunction with 24th International Conference on Information Integration and Web Intelligence. ​The dominant research focus of submitted papers was artificial intelligence and machine learning. The accepted papers presented advances and innovations in an array of areas such as online teaching, activity and movement detection, greenhouse gas emission, smart irrigation, network security, and video delivery. MoMM2022 attracted 34 papers, from which the Program Committee selected 8 regular papers and 8 short papers. Due to safety concerns as well as other restrictions preventing travel and gatherings, it was decided to organize MoMM2022 as a virtual conference.