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Direct linkLe, Nguyen-Thinh; Menzel, Wolfgang – International Journal of Artificial Intelligence in Education, 2009
In this paper, we introduce logic programming as a domain that exhibits some characteristics of being ill-defined. In order to diagnose student errors in such a domain, we need a means to hypothesise the student's intention, that is the strategy underlying her solution. This is achieved by weighting constraints, so that hypotheses about solution…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Programming, Models
Priem, Jason – Journal of Educational Computing Research, 2010
The study of student error, important across many fields of educational research, has begun to attract interest in the field of e-learning, particularly in relation to usability. However, it remains unclear when errors should be avoided (as usability failures) or embraced (as learning opportunities). Many domains have benefited from taxonomies of…
Descriptors: Electronic Learning, Educational Research, Distance Education, Classification
Download full textAdvanced Technology, Inc., Reston, VA. – 1984
The Pell Grant Quality Control Study of 1982-83, the third stage of a contract with the Department of Education, was designed to identify program error rate, to measure the impact of increased validation activity, and to propose corrective actions to reduce the misallocation of program funds. A nationally representative sample of approximately…
Descriptors: Compliance (Legal), Delivery Systems, Error Patterns, Federal Aid
Advanced Technology, Inc., Reston, VA. – 1984
The Pell Grant Quality Control Study of 1982-83, the third stage of a contract with the Department of Education, was designed to identify program error rate, to measure the impact of increased validation activity, and to propose corrective actions to reduce the misallocation of program funds. A nationally representative sample of approximately…
Descriptors: Compliance (Legal), Delivery Systems, Equations (Mathematics), Error Patterns
Advanced Technology, Inc., Reston, VA. – 1984
The Pell Grant Quality Control Study of 1982-83 was designed to identify program error rate, to measure the impact of increased validation activity, and to propose corrective actions to reduce the misallocation of program funds. A sample of approximately 4,000 students was drawn from a stratified random sample of 317 participating institutions.…
Descriptors: Compliance (Legal), Delivery Systems, Error Patterns, Federal Aid
Advanced Technology, Inc., Reston, VA. – 1984
The Pell Grant Quality Control Study of 1982-83 was designed to identify program error rate, to measure the impact of increased validation activity, and to propose corrective actions to reduce the misallocation of program funds. A sample of approximately 4,000 students drawn from a sample of 317 participating institutions showed that Pell Grant…
Descriptors: Administrators, College Role, Compliance (Legal), Delivery Systems
