An endorsement-based approach to student modeling for planner-controlled intelligent tutoring systems

An approach is described to student modeling for intelligent tutoring systems based on an explicit representation of the tutor's beliefs about the student and the arguments for and against those beliefs (called endorsements). A lexicographic comparison of arguments, sorted according to evidence reliability, provides a principled means of determining those beliefs that are considered true, false, or uncertain. Each of these beliefs is ultimately justified by underlying assessment data. The endorsement-based approach to student modeling is particularly appropriate for tutors controlled by instructional planners. These tutors place greater demands on a student model than opportunistic tutors. Numerical calculi approaches are less well-suited because it is difficult to correctly assign numbers for evidence reliability and rule plausibility. It may also be difficult to interpret final results and provide suitable combining functions. When numeric measures of uncertainty are used, arbitrary numeric thresholds are often required for planning decisions. Such an approach is inappropriate when robust context-sensitive planning decisions must be made. A TMS-based implementation of the endorsement-based approach to student modeling is presented, this approach is compared to alternatives, and a project history is provided describing the evolution of this approach

Positioning Dispositions in Initial Teacher Education: An Action Research Approach

In spite of debate, ambiguity, and tension around teacher dispositions, in the past over two decades, the place of dispositions in initial teacher education (ITE) has been widely supported among policy makers and researchers. Specifically, debate on whether dispositions are teachable has largely given way to action to foster dispositions. Adopting a two-cycle participatory action research design, this study explored ways to teach the first-year teacher candidates’ dispositions in an early childhood ITE programme in New Zealand. The intervention included eight focus dispositions and corresponding strategies to teach each focus disposition. Data collection methods included student self-assessment surveys, individual and focus group interviews with students and teaching staff, team meetings, and a variety of pedagogical documentation. Ethnographic content analysis generated three themes: legitimacy of the intervention, experiential orientation of the intervention, and effect of the intervention. The study exemplifies how dispositions intervention can be incorporated in ITE programmes

A methodology for evaluating intelligent tutoring systems

DissertationThis dissertation proposes a generic methodology for evaluating intelligent tutoring systems (ITSs), and applies it to the evaluation of the SQL-Tutor, an ITS for the database language SQL. An examination of the historical development, theory and architecture of intelligent tutoring systems, as well as the theory, architecture and behaviour of the SQL-Tutor sets the context for this study. The characteristics and criteria for evaluating computer-aided instruction (CAl) systems are considered as a background to an in-depth investigation of the characteristics and criteria appropriate for evaluating ITSs. These criteria are categorised along internal and external dimensions with the internal dimension focusing on the intrinsic features and behavioural aspects of ITSs, and the external dimension focusing on its educational impact. Several issues surrounding the evaluation of ITSs namely, approaches, methods, techniques and principles are examined, and integrated within a framework for assessing the added value of ITS technology for instructional purposes.Educational StudiesM. Sc. (Information Systems

Second Annual Workshop on Space Operations Automation and Robotics (SOAR 1988)

Papers presented at the Second Annual Workshop on Space Operation Automation and Robotics (SOAR '88), hosted by Wright State University at Dayton, Ohio, on July 20, 21, 22, and 23, 1988, are documented herein. During the 4 days, approximately 100 technical papers were presented by experts from NASA, the USAF, universities, and technical companies. Panel discussions on Human Factors, Artificial Intelligence, Robotics, and Space Systems were held but are not documented herein. Technical topics addressed included knowledge-based systems, human factors, and robotics

The Wellesley News (04-27-1967)

https://repository.wellesley.edu/wcnews/1102/thumbnail.jp

Opening Up Education: The Collective Advancement of Education through Open Technology, Open Content, and Open Knowledge

Given the abundance of open education initiatives that aim to make educational assets freely available online, the time seems ripe to explore the potential of open education to transform the economics and ecology of education. Despite the diversity of tools and resources already available -- from well-packaged course materials to simple games, for students, self-learners, faculty, and educational institutions -- we have yet to take full advantage of shared knowledge about how these are being used, what local innovations are emerging, and how to learn from and build on the experiences of others. Opening Up Education argues that we must develop not only the technical capability but also the intellectual capacity for transforming tacit pedagogical knowledge into commonly usable and visible knowledge: by providing incentives for faculty to use (and contribute to) open education goods, and by looking beyond institutional boundaries to connect a variety of settings and open source entrepreneurs.These essays by leaders in open education describe successes, challenges, and opportunities they have found in a range of open education initiatives. They approach -- from both macro and micro perspectives -- the central question of how open education tools, resources, and knowledge can improve the quality of education. The contributors (from leading foundations, academic institutions, associations, and projects) discuss the strategic underpinnings of their efforts first in terms of technology, then content, and finally knowledge. They also address the impact of their projects, and how close they come to achieving a vision of sustainable, transformative educational opportunities that amounts to much more than pervasive technology.Contributors:Richard Baraniuk, Randy Bass, Trent Batson, Dan Bernstein, John Seely Brown, Barbara Cambridge, Tom Carey, Catherine Casserly, James Dalziel, Bernadine Chuck Fong, Richard Gale, Gerard Hanley, Diane Harley, Mary Huber, Pat Hutchings, Toru Iiyoshi, David Kahle, M. S. Vijay Kumar, Andy Lane, Diana Laurillard, Stuart Lee, Steve Lerman, Marilyn Lombardi, Phil Long, Clifford Lynch, Christopher Mackie, Anne Margulies, Owen McGrath, Flora McMartin, Shigeru Miyagawa, Diana Oblinger, Neeru Paharia, Cheryl Richardson, Marshall Smith, Candace Thille, Edward Walker, and David WileyAbout the Editors:Toru Iiyoshi is Senior Scholar and Director of the Knowledge Media Lab at the Carnegie Foundation.M. S. Vijay Kumar is Senior Associate Dean and Director of the Office of Educational Innovation and Technology at MIT