Classifying Educational Questions Based on the Expected Characteristics of Answers

Clustering Introductory Computer Science Exercises Using Topic Modeling Methods

“…One strategy to overcome this issue and minimize the domain experts' workload is to apply supervised learning. Previous research in question classifications used supervised learning to classify questions according to the level of difficulty [14], Bloom's taxonomy [15], answer type [16], and subject [17]. In Godea et al [16], the features are derived from the questions, using part-of-speech tags, word embeddings, interclass correlations, and manual annotation.…”

“…Previous research in question classifications used supervised learning to classify questions according to the level of difficulty [14], Bloom's taxonomy [15], answer type [16], and subject [17]. In Godea et al [16], the features are derived from the questions, using part-of-speech tags, word embeddings, interclass correlations, and manual annotation. Supraja et al [15] use a grid search to analyze different combinations of weight schemes and methods to find the best set of parameters to build a supervised model to classify questions given Bloom's Taxonomy.…”

Text mining in education

“…However, it is important to go beyond this analysis (Crossley et al, ; Ericsson & Haswell, ) and there are a great number of papers focused on adoption of semantic methods (Hughes, Hastings, Magliano, Goldman, & Lawless, ; Simsek et al, ), writing style (Oberreuter & Velásquez, ; Snow, Allen, Jacovina, Perret, & McNamara, ) and argumentation analysis Elouazizi et al ().Following a similar direction, the evaluation of online assignments adopts lexical and semantic approaches (Cutrone & Chang, ; Prevost, Haudek, Urban‐Lurain, & Merrill, ; Ramachandran & Gehringer, ). Nevertheless, in this case, the works tend to be more focus on solving specific problems as plagiarism (Adeva, Carroll, & Calvo, ), analyze short answer (Saha, Dhamecha, Marvaniya, Sindhgatta, & Sengupta, ), and classify the questions (Godea, Tulley‐Patton, Barbee, & Nielsen, ). Finally, it also could be applied in formative evaluation to assist educators to establish a pedagogical basis for decisions in order to maintain the environment (Gibson et al, ; Lehman, Mills, D'Mello, & Graesser, ) and evaluate interactions on educational online discussions (Rubio & Villalon, ; Yoo & Kim, ).…”

“…Others Classification Evaluation The authors used a sentiment analysis tool, VADER (valence aware dictionary and sEntiment Reasoner), to analyze student evaluations of teaching (SET) review system that automatically evaluates and provides formative feedback on free-text feedback comments of students was iteratively designed and evaluated in college and high-school classrooms (Wiley et al, 2017). Others NLP Evaluation This article describes several approaches to assessing student understanding using written explanations that students generate as part of a multiple-document inquiry activity on a scientific topic (global warming) (Godea et al, 2018). Question Classification Evaluation This paper presents a system that classifies questions asked in an educational context based on the expected characteristics of answers, with a future goal to facilitate the analysis of student responses (Ruseti et al, 2018).…”