This paper discusses how an inquiry-support software, the Progress Portfolio, can help students engage in reflective inquiry. We argue that self-regulation is one of the most critical components of reflective inquiry and present an empirical case of how the Progress Portfolio tool was designed to enable students to become self-regulated in their learning. Even though there is a rich literature ...

Cooperative Inquiry is a Participatory Design method that involves children (typically 7-11 years old) as full partners with adults in the design of technologies intended for use by children. For many years, child designers have worked together with adults in Cooperative Inquiry approaches. However, in the past children have not typically initiated the design problems tackled by the intergenera...

Since its inception Service Science has created a substantial body of knowledge about services and their provision. Most notably, the concept of Service System was defined in order to describe the co-creation of value by the service provider and customer. We introduce the concept of Appreciative System defined by Vickers in the study of the way individuals and organizations apprehend and act on...

We have developed a platform to support Citizen Inquiry activities, based on the nQuire Toolkit software which was originally designed to support inquiry-based learning activities for schools. Citizen Inquiry is an innovative way for learners to engage in practical scientific activities, in which they take the role of self-regulated scientists in informal learning contexts. The platform will be...

Communication between teachers and students is not limited to the physical classroom but has shifted include online classroom. A learning management system (LMS) an app or software that aids in administration, documentation, finding materials, reporting on activity, providing teaching materials. The purpose of this research build a Learning Management System which features gamification apprecia...

Since the mid 1980s, there has been considerable research studying the expressiveness and the tractability of various description logics. In this talk, we consider this issue as it was then and now. We argue that an overly strict interpretation may have caused the work on description logic to be seen as less relevant than it used to be to the general AI enterprise.

Association for Artificial Intelligence (AAAI) is the largest and most important meeting of AI theoreticians and practitioners in the United States This year, the conference was held in Seattle, Wash, and paid attendance was just under 5100 Last year’s Philadelphia conference drew 5400 The drop in attendance was primarily the result of competition with the International /oint Conference on Arti...

Many problems in AI study can be traced back to the confusion of different research goals. In this paper, five typical ways to define AI are clarified, analyzed, and compared. It is argued that though they are all legitimate research goals, they lead the research to very different directions, and most of them have trouble to give AI a proper identity. Finally, a working definition of AI is prop...