Abstract:
We suggest a routine for automatic assessment of complexity and difficulty of educational tasks. This routine is based on text parsing, phrases’ predicative structures identification and semantic network construction. Then we develop a mathematical model which employs a notion on semantic distance between words to calculate the volume of knowledge in a semantic network. We show that the volume of knowledge in a semantic network is a measure in the space of all semantic networks, and the semantic distance makes this space the metric one.
Keywords:education process, measurements in teaching, the difficulty and complexity of tasks, parsing, semantic nets, semantic distance.