- Presentation abstract発表の要約
P-CHAT is a Moodle plugin tool that supports a range of assessment strategies based on face-to-face conversations. The plugin guides students as they prepare for, record, transcribe, and review their speaking performance. During the activity, students are presented with metrics regarding their contributions to the conversation including number of words spoken, number of turns taken, average words spoken per turn, number of words spoken during longest turn, number of pre-selected target words spoken, number of questions asked, and an accuracy percentage based on an automatic speech recognition (ASR) algorithm. Learners are prompted to use these data for self-assessment and goal-setting, while teachers and researchers can access the data for pedagogical and research agendas. Student progress on key metrics can be tracked over a semester or year. In this workshop, the P-CHAT designer and develop will walk attendees through the setup and use of the plugin, highlighting new features and findings from related studies currently underway. The P-CHAT is freely available for use on existing Moodle sites, and interested teachers can also join a dedicated Moodle site for contributing to research related to the government research grant which funded this project (Kaken #19K13309).
- Original submission元の原稿
発表の題名: How to setup and use the P-CHAT module
発表の種類: Workshop (30 mins) ワークショップ（３０分）
発表の言語: English 英語
発表のキーワード: P-CHAT, formative assessment, group oral test
P-CHAT is a Moodle plugin tool that supports a range of assessment strategies based on face-to-face conversations. The plugin guides students as they prepare for, record, transcribe, and review their speaking performance. During the activity, students are presented with metrics regarding their contributions to the conversation including number of words spoken, number of turns taken, average words spoken per turn, number of words spoken during longest turn, number of pre-selected target words spoken, number of questions asked, and an accuracy percentage based on an automatic speech recognition (ASR) algorithm. Learners are prompted to use these data for self-assessment and goal-setting, while teachers and researchers can access the data for pedagogical and research agendas. Student progress on key metrics can be tracked over a semester or year. In this workshop, the P-CHAT designer and develop will walk attendees through the setup and use of the plugin, highlighting new features and findings from related studies currently underway. The P-CHAT is freely available for use on existing Moodle sites, and interested teachers can also join a dedicated Moodle site for contributing to research related to the government research grant which funded this project (Kaken #19K13309).
- Peer review details査読詳細
Peer Review 1
| Criteria | Assessment |
|---|
| Clarity of Submission | 9 / 10 |
| Presentation Length | 8 / 10 |
| Originality of Submission | 9 / 10 |
| Appropriateness & Relevance to the Moot | 10 / 10 |
| Quality of Content & Writing | 8 / 10 |
| Overall evaluation | 45 / 50 |
| 89 / 100 |
Peer Review 2
| Criteria | Assessment |
|---|
| Clarity of Submission | 9 / 10 |
| Presentation Length | 10 / 10 |
| Originality of Submission | 10 / 10 |
| Appropriateness & Relevance to the Moot | 10 / 10 |
| Quality of Content & Writing | 10 / 10 |
| Overall evaluation | 50 / 50 |
| 99 / 100 |
Peer Review 3
| Criteria | Assessment |
|---|
| Clarity of Submission | 8 / 10 |
| Presentation Length | 8 / 10 |
| Originality of Submission | 9 / 10 |
| Appropriateness & Relevance to the Moot | 9 / 10 |
| Quality of Content & Writing | 8 / 10 |
| Overall evaluation | 45 / 50 |
| 87 / 100 |
Feedback Abbreviations tend to be self-explanatory, but reading the abstract left me wondering what P in P-CHAT stands for. In addition, the plugin allows for knowing the number of turns, average number of words per turn etc. Do students understand the meaning/usefulness of all these numbers? What is the learning curve needed for students to interpret the data and apply it for their goal setting?
- Peer review notes査読メモ
Thanks for your submission!
Your proposal has been accepted.
We look forward to seeing you at the conference in February.