Using Natural Language as Knowledge Representation in an Intelligent Tutoring System

Knowledge used in an intelligent tutoring system to teach students is usually acquired from authors who are experts in the domain. A problem is that they cannot directly add and update knowledge if they don’t learn formal language used in the system. Using natural language to represent knowledge can allow authors to update knowledge easily. This thesis presents a new approach to use unconstrained natural language as knowledge representation for a physics tutoring system so that non-programmers can add knowledge without learning a new knowledge representation. This approach allows domain experts to add not only problem statements, but also background knowledge such as commonsense and domain knowledge including principles in natural language. Rather than translating into a formal language, natural language representation is directly used in inference so that domain experts can understand the internal process, detect knowledge bugs, and revise the knowledgebase easily. In authoring task studies with the new system based on this approach, it was shown that the size of added knowledge was small enough for a domain expert to add, and converged to near zero as more problems were added in one mental model test. After entering the no-new-knowledge state in the test, 5 out of 13 problems (38 percent) were automatically solved by the system without adding new knowledge

A blended approach in teaching an EAP course: Malaysian instructors’ perceptions of the new course materials

This paper reports on a study which examines instructors’ perceptions of the new commercial course materials that comprises a course book and online practice reinforcement activities. The materials were used to teach undergraduate English for Academic Purposes (EAP) course for Social Sciences at a Malaysian public university. This represents the main facet of the blended approach introduced when the course was redesigned. The sample comprises ten instructors who taught the course for one semester. Three qualitative instruments were utilized to elicit data namely, instructor-researcher reflective notes, focus group discussion and one-to-one interviews. The results of the study were generally positive, however, two main concerns were raised. The first was regarding the difficulty level of the reading comprehension activities in the course book which majority of the instructors felt were too simple and not challenging enough for their students. The second was on internet connectivity to the online practice website which the instructors felt was too slow and was unable to support the students efficiently. The paper concludes by discussing the implications of the findings and provides suggestions for the next cycle of the researc

Legal Capital and the Model Business Corporation Act: An Essay for Bayless Manning

Hanks discusses the distribution provisions of the Model Business Corporation Act. The relatively smooth operation and interpretation of the MBCA\u27s distribution provisions is an excellent example of the reflection, sophistication, care, and skill of the Committee on Corporate Laws in considering, drafting, revising, and updating the Model Business Corporation Act over the past sixty years. The overall success of the distribution provisions is a tribute to the many lawyers, judges, and law professors who have participated in the Committee\u27s very successful efforts to advance the law of corporations in this country and elsewhere

Cognitive apprenticeship : teaching the craft of reading, writing, and mathtematics

Includes bibliographical references (p. 25-27)This research was supported by the National Institute of Education under Contract no. US-NIE-C-400-81-0030 and the Office of Naval Research under Contract No. N00014-85-C-002

The future of technology enhanced active learning – a roadmap

The notion of active learning refers to the active involvement of learner in the learning process, capturing ideas of learning-by-doing and the fact that active participation and knowledge construction leads to deeper and more sustained learning. Interactivity, in particular learnercontent interaction, is a central aspect of technology-enhanced active learning. In this roadmap, the pedagogical background is discussed, the essential dimensions of technology-enhanced active learning systems are outlined and the factors that are expected to influence these systems currently and in the future are identified. A central aim is to address this promising field from a best practices perspective, clarifying central issues and formulating an agenda for future developments in the form of a roadmap

Culturally Sensitive IS Teaching: Lessons Learned to Manage Motivation Issues

This paper seeks to raise awareness of culturally sensitive teaching that is largely overlooked in the IS teaching community. In a global, networked environment commonly faced by the contemporary business or academic world, it is imperative to prepare future IT professionals with adequate cultural understanding of such a multicultural environment in which their future work practice will engage. Derived from a teaching case situated in the context of HBCU (Historically Black Colleges and Universities) in the US, this paper narrates and reflects cultural issues and challenges that are increasingly prevalent in today‟s education systems. More specifically, the study analyzes motivational issues that are commonly observed in a homogeneous student group and provides practice lessons to help educators who might face similar issues in their teaching context to manage those issues. Insights gained from the study help reflect the significance of developing culturally sensitive pedagogy that might require future IS educators‟ and researchers‟ attention