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Table 1 Statistics of the dialogue corpus

From: Non-intrusive assessment of learners’ prior knowledge in dialogue-based intelligent tutoring systems

Category

Features

Time-on-task

total_time: the time length of the dialogue in minutes

features

avg_time_per_turn: the average length of a student turn in minutes

Generation

dialogue_size: total length of the student dialogue (#words, excl. punctuation)

features

avg_dialogue_size_per_turn (#words, no punctuation)

 

dialogue_length_div_voc: dialogue_size divided by student’s vocabulary size

 

#chunks: total number of syntactic constituents or chunks

 

#sentences: total number of sentences

 

content_vocSize: the vocabulary size of content words

 

non_content_vocSize: the vocabulary size of non-content words

 

vocSize: total vocabulary size

 

%physicsTerms: percentage of physics related terms out of all the words used

 

%longWords: percentage of long words out of those used

 

%puctuation:percentage of punctuation out of all tokens used

 

%articles: percentage of articles such as an or the out of all the words used

 

%pronouns: # of non-self-reference pronouns (you, they) out of all words

 

%self-references: # of self-reference pronouns (me or we) out of all words

 

totalIC: total Information Content of the dialogue

 

totalIC_per_word

 

positiveness: text positiveness computed based on SentiWordNet

 

negativeness: text negativeness

Scaffolding

#turns: total number of student’s turns

features

#normalized total number of student turns

 

#c_turns: number of student turns classified as contributions (no questions)

 

%pos_fb: percentage of turns for which student received positive feedback

 

%neg_fb: percentage of turns for which student received negative feedback

 

pos_div_pos+neg: positive feedback divided by (positive+negative) feedback

 

#shownHints: total number of shown hints

 

#shownPrompts: total number of shown prompts, a type of hints

 

#shownPumps: total number of shown pumps, a type of hints