The Design of Learning Objects by Learners

Abstract: A new instructional design paradigm has recently emerged due to the technological innovation known as learning objects (LO). Educational professionals anticipate that learning objects can realize the goals of technology-based learning: adaptivity, generativity, and scalability. Reflecting the popularity of the learning objects movement, many development initiatives have focused on the use of this design approach for the creation of instructional programs. However, these efforts have been criticized for a lack of theoretical background to facilitate learning. In response to this criticism, researchers have worked to apply learning theories and rigorous instructional design processes to develop and design learning objects. These efforts toward adding a theoretical background have provided good support for instructional designers and developers to create pedagogically effective learning materials. But, current research needs to pay more attention to what learners can bring to the design and development of learning objects. A learner-centered design strategy could allow learners the potential to create and repurpose learning objects and share them with others, in addition to using existing learning objects for their own educational enhancement. In view of such a possible design strategy, it seems necessary to investigate the feasibility and effectiveness of the design of learning objects by learners. Investigative inquiry could examine the application of a "learners-as-designers" approach, whereby learners design and develop learning objects using a learning object development tool. To explore the effectiveness of this approach, this future research proposes to find how various learners' characteristics interact with the ability to design learning objects

Neutral current pi0 production in MiniBooNE

This paper describes the analysis used to determine the neutral current {pi}{sup 0} production in MiniBooNE in bins of momentum. Additionally, a measurement of the relative coherent production of {pi}{sup 0}s is discussed. The coherent production rate is found to be (19.5 {+-}1.1 (stat) {+-}2.5 (sys))% of the total exclusive neutral current {pi}{sup 0} production rate

Statistically significant forecasting improvements: How much out-ofsample data is likely necessary

abstract Testing the out-of-sample forecasting superiority of one model over another requires an a priori partitioning of the data into a model specification/estimation ("training") period and a model comparison/evaluation ("out-of-sample" or "validation") period. How large a validation period is necessary for a given mean square forecasting error (MSFE) improvement to be statistically significant at the 5% level? If the forecast errors from each model are NIID and these errors are independent of one another, then the 5% critical points for the F distribution provide the answer to this question. But even optimal forecast errors from well-specified models can be serially correlated. And forecast errors are typically substantially crosscorrelated. For such errors, a validation period in excess of 100 observations long is typically necessary in order for a 20% MSFE reduction to be statistically significant at the 5% level. Illustrative applications using actual economic data are given

The Future of Intersection Management Using Advanced Cruise Control Systems

Assuming the technologies mature and connected vehicles hit the market, a valid question is whether or not we still need traditional intersection control mechanisms. For example, how will the existence of advanced cruise control systems affect intersection performance? To address these types of questions, the Connected Vehicle/Infrastructure University Transportation Center (CVI UTC) is funding a project at Virginia Tech\u2019s Center for Sustainable Mobility to develop a futuristic intersection management system that prevents crashes and reduces the total intersection delay