Survey responses from 232 journalism educators in 33 nations were analyzed for descriptions of how they have taught a subset of the most pedagogically challenging computer-assisted reporting (CAR) skills-advanced data analysis. Respondents' programs were sorted into three instructional groupings: (1) Comprehensive programs offering coherent curricula for learning three basic and six advanced analytic reporting competencies, (2) mixed adoption programs that make data analytic learning optional and student directed, and (3) lagging programs that provide weak learning opportunities. We also statistically address U.S. versus non-U.S. contrasts, and features of U.S. programs offering analytic training also are statistically addressed. Barriers to expanding such training are discussed.
AR-Mentor is a wearable real time Augmented Reality (AR) mentoring system that is configured to assist in maintenance and repair tasks of complex machinery, such as vehicles, appliances, and industrial machinery. The system combines a wearable Optical-See-Through (OST) display device with high precision 6-Degree-Of-Freedom (DOF) pose tracking and a virtual personal assistant (VPA) with natural language, verbal conversational interaction, providing guidance to the user in the form of visual, audio and locational cues. The system is designed to be heads-up and hands-free allowing the user to freely move about the maintenance or training environment and receive globally aligned and context aware visual and audio instructions (animations, symbolic icons, text, multimedia content, speech). The user can interact with the system, ask questions and get clarifications and specific guidance for the task at hand. A pilot application with AR-Mentor was successfully built to instruct a novice to perform an advanced 33-step maintenance task on a training vehicle. The initial live training tests demonstrate that AR-Mentor is able to help and serve as an assistant to an instructor, freeing him/her to cover more students and to focus on higher-order teaching.
Wireless and mobile devices are beginning to offer stunning new technical capabilities for collaborative learning. Yet, researchers in this field must recognise the importance of complementing these technical advances with improved understanding of the patterns of classroom activity that most need support. The approach taken in the work reported in this paper has been to create conceptual tools that help thinking and talking about technology‐supported collaborative learning. A particularly powerful tool is Collaborative Design Patterns, which captures common learning situations and benefits in written form. This paper uses four classroom scenarios to describe eight patterns. These patterns fall into two categories: whole‐activity patterns, which suggest ways to organise one or more class periods, and smaller‐grained support patterns.
Adaptive learning systems personalize instruction to students' individual learning needs and abilities. Such systems have shown positive impacts on learning. Many schools in the United States have adopted adaptive learning systems, and the rate of adoption in China is accelerating, reaching almost 2 million unique users for one product alone in the past 3 years. Given such rapid adoption in China, it is useful to examine the efficacy of adaptive learning within that country's educational system. This study aimed to compare the learning impacts of individualized adaptive learning courseware to two common instructional approaches in China: large-group and small-group classroom instruction. This paper describes the results of two efficacy studies of one of China's first adaptive learning systems, Squirrel AI Learning. One study compares classroom-based individualized adaptive learning instruction to largegroup instruction, and another to small-group instruction. Chinese eighth-grade students from two provinces randomly assigned to use Squirrel AI Learning showed greater gains on a mathematics test than those randomly assigned to whole-class or small-group instruction led by expert teachers. Findings provide a basis for further research into the selection, use, and impact of adaptive learning systems in Chinese education.
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