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ID : 1836
Original submission元の投稿 :
Title題名 : An auto-graded Moodle question type for speaking practice
Type種類 : Presentation (20 mins)
Category部類 : Individual presentation
Language言語 : English
Abstract要約 :

This presentation will provide and overview of a new question type for Moodle that was developed to automatically score student speech using automated speech recognition (ASR) technology. The speaking assessment question type, currently being developed by the presenter, makes use of Google’s ASR engine to transcribe speech input. The transcribed speech is then compared to a target phrase and awarded a score based on how closely it matches the target phrase. The presenter will begin with an overview of how the speaking assessment question type generates a numerical score based on inputted speech. Participants will then be guided though the process of creating auto-graded speaking tasks using the standard Moodle question type interface. Finally, the presenter will provide examples of both extensive and intensive speaking tasks that can be deployed within Moodle to augment traditional speaking activities. The speaking assessment question type is an open source initiative and can be downloaded from Github.com.

Keywordsキーワード : question type, speech assessment
Topicsトピック :
Presentation times発表時間 :
Main presenter筆頭発表者 : Mr. Paul DANIELS
Affiliation所属 : Kochi University Of Technology (Kochi, Japan)
EmailEメール :
Handout資料 :
Slidesスライド :
Commentsコメント :
Added by入力ユーザ :
Date added入力日付 : Tuesday, 13 November 2018, 12:58 PM
Date modified更新日付 : Tuesday, 13 November 2018, 12:58 PM
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Schedule numberスケジュール番号 : 211-P
Schedule day開催予定日 : Feb 28th (Thu)
Schedule time開催予定時刻 : 10: 20 - 10: 30
Schedule duration開催予定時間 : 10 mins
Schedule room name開催予定室名 : Room 305 (30 seats)
Schedule room seats開催予定室名の坐整数 : 30 seats
Schedule audience聴講予定者 :