Teaching cognitive subject matter via distance learning often suffers from different aspects, such as providing passive content or missing motivational elements. Therefore, this paper deals with the extension of an online course on theoretical topics by game-based elements and proposes a distance learning method called “Quiz World Cup”. After highlighting problematic aspects of teaching cogniti...

This study reports on the content validation of the Community College Student Success Inventory (CCSSI) for Men of Color. The CCSSI was designed to be used by community colleges to assess their effectiveness in addressing success outcomes for men who have been historically underrepresented and underserved in education, particularly men of color. A panel of subject matter experts (SMEs) rated th...

This paper presents a mixed-initiative approach to rule refinement in which a subject matter expert collaborates with a learning agent to refine the agent’s knowledge base. This approach is implemented in the Disciple learning agent shell and has been evaluated in several agent training experiments performed by subject matter experts at the US Army War College.

Developing adaptive, rich-media, eLearning courses tends to be a complex, highly-expensive and time-consuming task. A typical adaptive eLearning course will involve a multi-skilled development team of technologists, instructional developers, subject matter experts and integrators. Even where the adaptive course attempts to reuse existing digital resources, considerable effort is still required ...

The development of an online corporate training program is a challenge from many standpoints. When the training program involves specialized content and the need for the trainees to meet an international professional standard, the challenges multiply. This case study discusses the development of an online program for international aviation personnel who must meet a newly mandated English langua...

When an information extraction system is applied to a new task or domain, we must specify the classes of entities and relations to be extracted. This is best done by a subject matter expert, who may have little training in NLP. To meet this need, we have developed a toolset which is able to analyze a corpus and aid the user in building the specifications of the entity and relation types.

Building and using agent-based models is often impractical, in part due to the cost of including expensive subject matter experts (SMEs) in the development process. In this paper, we describe a method for “bootstrapping” model building to lower the cost of overall model development. The models we are interested in here capture dynamic phenomena related to international and subnational conflict....

We present an argument for ongoing and deep participation by subject matter experts (SMEs, i.e. teachers and domain experts) in advanced learning environment (LE) development, and thus for the need for highly usable authoring tools. We also argue for the "user participatory design" of involving SMEs in creating the authoring tools themselves. We describe our experience building authoring tools ...

This paper presents current results in developing a practical approach, methodology and tool, for the development of knowledge bases and agents by subject matter experts, with limited assistance from knowledge engineers. This approach is based on mixed-initiative reasoning that integrates the complementary knowledge and reasoning styles of a subject matter expert and a learning agent, and on a ...

vs. Contextualized Representations During our initial team discussions, the engineering subject matter expert (SME) brought to our attention the fact that engineering textbooks at the college level typically represent engineering content in abstract form, that is, with generic symbols (Moore, Miller, Lesh, Stohlmann, & Kim, 2013; Nathan et al., 2013). The rest of the team was surprised to learn...