Applied Webservices Platform Supported Through Modified Edit Distance Algorithm: Automated Phonetic Transcription Grading Tool (APTgt)

Cheryl D. Seals*, Sicheng Li, Marisha Speights Atkins, Dallin Bailey, Jueting Liu, Yang Cao, Robertson Bassy

*Corresponding author for this work

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

Abstract

The abstract should summarize the contents of the paper in short terms, i.e. 150–250 words. This research proposes a platform to improve the user experience of Communications Disorders (CMDS) faculty and their students. Traditionally CMDS faculty have the task of training new scholars in the field on communication disorders in the craft of phonetic transcription utilizing the using the International Phonetic Alphabet (IPA). This can be a phoneme by phoneme transcription of words that have to be analyzed in a phoneme by phoneme process. In the department of Computer Science (CS), we had to opportunity to engage in this participatory design exercise with CMDS to analyze and automate this process. This project utilizes a variant of the Edit Distance algorithm for preprocessing the distance between the phonetic transcriptions of the professor’s provided key and student’s response. We call this platform, the Automated Phonetic Transcription grading tool, APTgt. The platform dramatically speeds up the grading process (i.e. instant feedback) as compared to traditional manual grading. The case discussed is a complex multivariate problem in the field of Communications Disorders of using the International Phonetic Alphabet (IPA) as a transcription language to support students learning the IPA language. Our focus was to develop an engaging, easy to use platform that can support interactive online learning and reduce complexity of evaluation and feedback for transcript tasks.

Original languageEnglish (US)
Title of host publicationLearning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences - 7th International Conference, LCT 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
EditorsPanayiotis Zaphiris, Andri Ioannou, Andri Ioannou
PublisherSpringer
Pages380-398
Number of pages19
ISBN (Print)9783030505127
DOIs
StatePublished - 2020
Externally publishedYes
Event7th International Conference on Learning and Collaboration Technologies, LCT 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: Jul 19 2020Jul 24 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12205 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Learning and Collaboration Technologies, LCT 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Country/TerritoryDenmark
CityCopenhagen
Period7/19/207/24/20

Keywords

  • E-Learning
  • Edit distance tools for linguistic education
  • User Interface Design
  • User experience
  • Web development

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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