Presenters発表者
Main presenter筆頭発表者
Affiliation所属機関
Maebashi Institute of Technology 前橋工科大学 Gunma Japan
Presenter [2]発表者[2]
Presenter [3]発表者[3]
Presenter [4]発表者[4]
Presenter [5]発表者[5]
Presentation details 発表詳細
Presentation title発表の題名
Learning Analytics and Emergency Remote Teaching
Presentation abstract発表の要約
During the pandemic-ridden academic year 2020, the way the three presenters taught classes has changed dramatically. One of us had taught in “HyFlex” (synchronization of online and F2F) format until fall and switched to a completely online format in winter. Another one has taught with totally on-demand style in spring and hybrid style in fall. The third one has taught 100% live online classes in spring and a mixture of live online and on-demand classes in fall. Through these drastic changes in teaching formats over the year, we have investigated how our students have managed to follow the lessons. Moodle has various learning analytics plugins. We have presented about these tools and other plugins such as IntelliBoard in the previous Moots. In this presentation, we will focus on the access data and will report how students reached the Moodle courses during the Emergency Remote Teaching period. We will show comparative log data from both before and after the impact of the global pandemic. We will also introduce a new web analytics tool called “Matomo (formerly Piwik)” that was recently integrated with our Moodle sites. Various data (device and location, for example) reveal many facts about the reality of students’ learning that are hidden to the naked eyes of educators.
Original submission元の原稿

Presentation title: Learning Analytics and Emergency Remote Teaching presentation_title

発表の種類: Presentation (40 mins) プレゼンテーション(40分)

発表の言語: English 英語

発表のキーワード: learning analytics, Matomo, data, access

Presentation abstract: presentation_abstract During the pandemic-ridden academic year 2020, the way the three presenters taught classes has changed dramatically. One of us had taught in “HyFlex” format until fall and switched to a completely online format in winter. Another one has taught with totally on-demand style in spring and hybrid style in fall. The third one has taught 100% live online classes in spring and a mixture of live online and on-demand classes in fall. Through these drastic changes in teaching formats over the year, we have investigated how our students have managed to follow the lessons. Moodle has various learning analytics plugins. We have presented about these tools and other plugins such as IntelliBoard in the previous Moots. This time we focused on the access data and will report how students reached the Moodle courses during the Emergency Remote Teaching period. We will show comparative log data from both before and after the impact of the global pandemic. We will also introduce a new web analytics tool called “Matomo (formerly Piwik)” that was recently integrated with our Moodle sites. Various data reveal many facts about the reality of students’ learning that are hidden to the naked eyes of educators. Format HTML format

Keywordsキーワード
learning analytics, Matomo, data, access
Topicトピック
Possible presentation times可能な発表時間
2月19日(金)午前##2月19日(金)午後##2月20日(土)午前##2月20日(土)午後
Handout file資料のファイル
Presentation slides fileスライドのファイル
Presentation URL発表のURL
Presentation video発表のビデオ
https://moodlejapan.org/mod/bigbluebuttonbn/view.php?id=2191
Comments or questionsコメント・質問
Submitted by提出ユーザ
HARASHIMA Hideto
Submitted: 提出: 2020年 12月 30日
Modified: 更新: 2021年 02月 2日
Peer review査読
Peer review score査読評価
78
Peer review details査読詳細

Peer Review 1

CriteriaAssessment
Clarity of Submission7 / 10
Presentation Length9 / 10
Originality of Submission7 / 10
Appropriateness & Relevance to the Moot10 / 10
Quality of Content & Writing7 / 10
Overall evaluation40 / 50
80 / 100

Peer Review 2

CriteriaAssessment
Clarity of Submission8 / 10
Presentation Length9 / 10
Originality of Submission9 / 10
Appropriateness & Relevance to the Moot9 / 10
Quality of Content & Writing7 / 10
Overall evaluation35 / 50
77 / 100
Peer review notes査読メモ

Thanks for your submission!

Your proposal has been conditionally accepted.

  • For this submission to be fully accepted, please make the requested changes to your abstract/presentation before 2021 Feb 1 (Mon) 23:55.
  • When the changes have been made, they will be reviewed and you will be notified of the new acceptance status.
Scheduleスケジュール
Schedule numberスケジュール番号
312-P