Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hints are an important ingredient of natural language tutorial dialogues. Existing models of hints, hover, are limited in capturing their various underlying functions, since hints are typically treated as a unit directly associated with some problem solving script or discourse situation. Putting emphasis on making cognitive functions of hints explicit and allowing for automatic incorporation in a natural dialogue context,  present a multi-dimensional hint taxonomy where each dimension defines a decision point for the associated function. Hint categories are then conceived as convergent points of the dimensions. So far,  have elaborated four dimensions: (1) domain knowledge, (2) inferential role, (3) elicitation status, (4) problem referential perspective. These fine-grained distinctions support the constructive generation of hint specifications from modular knowledge sources.
['Dimitra Tsovaltzi', 'Armin Fiedler', 'Helmut Horacek']
I am writing a research paper on a idea A multi-dimensional taxonomy for automating hinting
[{"from": "human", "value": "I am writing a research paper on a idea A multi-dimensional taxonomy for automating hinting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hints are an important ingredient of natural language tutorial dialogues. Existing models of hints, hover, are limited in capturing their various underlying functions, since hints are typically treated as a unit directly associated with some problem solving script or discourse situation. Putting emphasis on making cognitive functions of hints explicit and allowing for automatic incorporation in a natural dialogue context,  present a multi-dimensional hint taxonomy where each dimension defines a decision point for the associated function. Hint categories are then conceived as convergent points of the dimensions. So far,  have elaborated four dimensions: (1) domain knowledge, (2) inferential role, (3) elicitation status, (4) problem referential perspective. These fine-grained distinctions support the constructive generation of hint specifications from modular knowledge sources."}]