Manual for teacher

This video explains how to operate Moodle’s workshop function.

For teachers who are new to the workshop functionality, this section explains the setup and how the screen looks from the student’s perspective, assuming a “real-world” example.
There are nine videos in total. We recommend watching them in order.
１.What is a Moodle activity “workshop”?
２.Preparation for the workshop
３.Workshop operation: Setup phase (faculty operation screen)
４.Workshop Operations: Peer Review Assignments (Explanation)
５.Workshop operation: Switching from the submission phase to the evaluation phase (faculty operation screen)
６.Workshop operation: evaluation phase （Student operation screen)
７.Common problems and their solutions (explanations)
８.Example of Instructional Description for Students (Commentary)
SUPPLEMENTARY . Workshop Scoring Strategies (Explanation)

Download Example Configuration

1.What is a Moodle activity “workshop”?

２.Preparation for the workshop

３.Workshop operation: Setup phase (faculty operation screen)

４.Workshop Operations: Peer Review Assignments (Explanation)

５.Workshop operation: switching from the submission phase to the evaluation phase (faculty operation screen)

６.Workshop operation: evaluation phase (student operation screen)

７.Common problems and their solutions (explanations)

８.Example of Instructional Description for Students (Commentary)

SUPPLEMENTARY . Workshop Scoring Strategies (Explanation)

Examples of workshop planning

Download Example

• Workshop Theme：Considering the Impact of the Spread of Automated Driving Cars on Society
• Theme Summary：
  In December 2020, a demonstration test of an automated cab was conducted on public roads in the Nishi-Shinjuku area. The experiment was conducted with a safety driver in the driver’s seat of the self-driving car, and was conducted on the premise that the driver can operate the car himself/herself at his/her own discretion should any situation arise. With the advancement of automated driving technology, demonstration tests of fully automated vehicles (without a safety driver in the driver’s seat) will be conducted in the near future, paving the way to the practical stage of automated driving vehicles. It is estimated that when self-driving cars become widely used in society, people will be able to enjoy the benefits of self-driving, but there will also be various issues to be solved. In this workshop, we will examine the impact of the widespread use of self-driving cars on society.
• Issue Submission Phase：
  

  Explanation of issues to be submitted	Examine the impact on society of the spread of self-driving cars, focusing on the advantages and disadvantages of their spread. Based on this discussion, state your opinion on what rules are considered necessary for the practical application of fully automated vehicles.
  Approximate quantity	Approximately 2 pages in A4 (including references)
  Submission Method	Submit to Waseda Moodle lecture times “Workshop
  Submission Format	PDF or Word file
  Presented during	Monday, May 10, 2021 – Friday, May 14, 2021, 4:00 p.m. (strictly enforced)

• Assumption of assignment responses
  

  Assumption of merit

  No need for driving operations, making effective use of travel time Can provide transportation for those who cannot drive Driving with AI can avoid accidents and contribute to the reduction of traffic accidents Driving by AI can avoid traffic jams Environmentally friendly operation and operation can be realized, contributing to improved energy efficiency

  Demerit Assumption

  Unclear where responsibility lies in the event of a traffic accident caused by an automated driving error Privacy issues related to the collection of mobility information arise. There is a risk of hacking and security issues with automated vehicles Cab and truck drivers and other employment population will be affected Need to take into account coordination among vehicles, such as handover among automated vehicles Requires advanced judgment in situations where accidents are inevitable

• Subsequent Schedule：
  

  Evaluation (peer review) period	Monday, May 17, 10:00 – Friday, May 21, 16:00 (strictly enforced)
  Scheduled Feedback Date	Monday, May 24, after 10:00 a.m.

• Rubric Summary
  ■evaluation item

  aspect１	Clarity and persuasiveness of argument and structure	Benchmark is set as “1” and evaluated on a scale of 1 to 4 (full score), where 0 is failure
  aspect２	written representation	Benchmark is set as “1” and evaluated on a scale of 1 to 4 (full score), where 0 is failure
  aspect３	Originality of content and originality of ideas	Benchmark is set as “1” and evaluated on a scale of 1 to 4 (full score), where 0 is failure

  ■Evaluation Weight
  Aspect 1: Aspect 2: Aspect 3 = 1:1:3

Last Updated on 2023-02-22