James Skon's primary research interest includes adaptive learning systems, natural language processing and Internet-of-things. Currently he is working on a learning system that builds a custom curriculum for learners based on learner assessments. He is also exploring the use of the learning system for planning and design in architectural engineering.
Computer science, artificial intelligence and linguistics.
1997 — Doctor of Philosophy from The Ohio State University
1982 — Master of Science from The Ohio State University
1980 — Bachelor of Arts from Mount Vernon Nazarene Univ
Individual study is a privilege reserved for students who want to pursue a course of reading or complete a research project on a topic not regularly offered in the curriculum. It is intended to supplement, not take the place of, coursework. Individual study cannot be used to fulfill requirements for the major. Individual studies will earn .25 - .50 units of credit. To qualify, a student must identify a member of the Mathematics Department willing to direct the project. The professor, in consultation with the student, will create a tentative syllabus (including a list of readings and/or problems, goals and tasks) and describe in some detail the methods of assessment (e.g., problem sets to be submitted for evaluation biweekly; a 20-page research paper submitted at the course's end, with rough drafts due at given intervals, and so on). The department expects the student to meet regularly with his or her instructor for at least one hour per week. All standard enrollment/registration deadlines for regular college courses apply. Because students must enroll for individual studies by the end of the seventh class day of each semester, they should begin discussion of the proposed individual study preferably the semester before, so that there is time to devise the proposal and seek departmental approval before the registrar's deadline. Permission of instructor and department chair required. No prerequisite.\n\n
This course presents an introduction to computer programming intended both for those who plan to take further courses in which a strong background in computation is desirable and for those who are interested in learning basic programming principles. The course will expose the student to a variety of applications where an algorithmic approach is natural and will include both numerical and non-numerical computation. The principles of program structure and style will be emphasized. SCMP 118 may be paired with mathematics for diversification purposes. Offered every semester.
The Individual Study is to enable students to explore a pedagogically valuable topic in computing applied to the sciences that is not part of a regularly offered SCMP course. A student who wishes to propose an individual study course must first find a SCMP faculty member willing to supervise the course. The student and faculty member then craft a course syllabus that describes in detail the expected coursework and how a grade will be assigned. The amount of credit to be assigned to the IS course should be determined with respect to the amount of effort expected in a regular Kenyon class. The syllabus must be approved by the director of the SCMP program. In the case of a small group IS, a single syllabus may be submitted and all students must follow the same syllabus. Permission of the instructor and the program director are required. Because students must enroll for individual studies by the end of the seventh class day of each semester, they should begin discussion of the proposed individual study preferably the semester before, so that there is time to devise the proposal and seek departmental approval before the registrar’s deadline. No prerequisite. \n
“From Kudjip to Succotz: The successes, lessons, joys, and surprises from 25 years of service learning projects,” in “Service-Learning in the Computer and Information Sciences: Practical Applications in Engineering Education” by IEEE Press and John Wiley & Sons, Inc., 2013.
"Computing In Papua New Guinea: Lessons Learned About Computer Science Service Learning Projects," The Journal of Computing in Small Colleges, Volume 7, September 22, 2001.
"Guiding an HPSG Parser Using Semantic and Pragmatic Expectations," 1993 Proceedings of the Association for Computational Linguistics.