CLIQ! Intelligent Question Classifier for the elaboration of exams
Rafael Jardim, Carla Delgado, Mônica Ferreira da Silva
Abstract
Technologies that support teachers in exam preparation are explored by academic research and real-life applications. However, few solutions help the teacher identify the complexity of questions. This article introduces the “Intelligent Question Classifier” (CLIQ), a Python Natural Language Processing (NLP) tool for identifying questions complexity in Portuguese using Machine Learning. The software is easy to run, lightweight, and able of retrieving complexity according to linguistic patterns in the educator’s historical data. Regarding its contributions, we highlight that CLIQ is ready for question classification, use of personal databases, and code reuse.
Topics & Concepts
Computer scienceElaborationPython (programming language)ReuseClassifier (UML)Artificial intelligenceNatural language processingMachine learningProgramming languageHumanitiesEngineeringPhilosophyWaste managementOnline Learning and AnalyticsEducational Technology and AssessmentIntelligent Tutoring Systems and Adaptive Learning