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 |