Optimization to Automated Phonetic Transcription Grading Tool (APTgt) – Automatic Exam Generator

Jueting Liu, Marisha Speights, Dallin Bailey, Sicheng Li, Yaoxuan Luan, Ishaan Mishra, Yang Cao, Cheryl Seals*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The Automated Phonetic Transcription Grading Tool (APTgt) is an online exam system developed by Auburn University HCI group. This application aims to support faculty in communications disorders to improve their pedagogy and timely feedback for students. This article discusses an attempt to improve teacher’s experience by providing an automated method for exam generation, which can significantly save time while creating exams. The exam entry is created with the AU IPA (International Phonetic Alphabet) keyboard and system that grades the exams upon student completion of the exam. The exam is composed of several linguistics words with their pronunciation. Students need to answer the questions by inputting the correct phonetic spells during the exam. The core part in the auto-exam generator is the classification module, which can classify the input words into different difficulty levels. In this paper, we proposed two classification algorithms in the classification module: Rule-based algorithm and Classification and Regression Trees (CART).

Original languageEnglish (US)
Title of host publicationLearning and Collaboration Technologies
Subtitle of host publicationNew Challenges and Learning Experiences - 8th International Conference, LCT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
EditorsPanayiotis Zaphiris, Andri Ioannou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages80-91
Number of pages12
ISBN (Print)9783030778880
DOIs
StatePublished - 2021
Externally publishedYes
Event8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021 - Virtual, Online
Duration: Jul 24 2021Jul 29 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12784 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021
CityVirtual, Online
Period7/24/217/29/21

Keywords

  • Decision tree classifier
  • E-learning
  • International phonetic alphabet
  • Linguistics words
  • Multiclass classification
  • Phonetic transcription

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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