Intelligent Design in the Public School Science Classroom

The ongoing battle to insert intelligent causes into the science classrooms has been met with political approval and scientific rejection. Administrators in the United States need to be aware of the law related to creationism and intelligent design in order to lead in local curricular battles. Although unlikely to appease the ID proponents, there is a purpose for ID in the classroom. ID can be used to illustrate the foundational epistemological structure of science, which requires natural explanations and empirical data as opposed to revelation, tradition, and authority.     

Reading and young gifted children

The authors analyze issues such as appropriate programming, identification, and instructional approaches for teaching reading to young gifted children.     

Hybrid e-TextBooks as comprehensive interactive learning environments

An e-TextBook can serve as an interactive learning environment (ILE), facilitating more effective teaching and learning processes. In this paper, we propose the novel concept of an EPUB 3-based Hybrid e-TextBook, which allows for interaction between the digital and the physical world. In that regard, we first investigated the gap between the expectations of teachers with respect to e-TextBook functionalities, on the one hand, and the ILE functionalities offered by e-TextBooks, on the other hand. Next, together with teachers, we co-designed and developed prototype EPUB 3-based Hybrid e-TextBooks that make it possible to connect their learning content to smart devices in classrooms, leveraging both digital publishing and Semantic Web tools. Based on experimentation with our prototype Hybrid e-TextBooks, we can argue that a semantically enriched EPUB 3-based Hybrid e-TextBook is able to act as a comprehensive ILE, providing the tools needed by teachers in smart classrooms. Furthermore, expert observations and Smiley o’meter results demonstrate an effective impact on student cognition and motivation.     

Analysis of speed accuracy using video analysis software

Determining an athlete’s speed from broadcast video is a common practice in sport. Many software packages that perform data extraction from video files are expensive; however, open source software is also available, but lacks published validation for speed measurements. The purpose of this research was to examine the error of speed measurements extracted from video during an ice hockey skating exercise using open source software. The subject completed four exercises, at two speeds recorded by broadcast cameras set at five angles. The speeds from the broadcast cameras were compared to speeds calculated from a high-speed camera placed orthogonally to the exercise. Speeds from the broadcast cameras correlated well with the high-speed video for motion more than 12 m away from the broadcast camera. When comparing all the measured speeds, no significant difference was found between the speeds calculated by the high-speed camera (slow: 4.46 m/s ± 0.2; fast: 7.2 m/s ± 0.7) and the speed calculated from the broadcast cameras (slow: 4.50 m/s ± 0.4; fast: 7.34 m/s ± 0.6) (p > 0.05). The open source method was found to be less accurate when the athlete was close to (within 12 m of camera position) or moving directly toward the broadcast cameras.