Website:  https://sites.google.com/view/gse570f24/home  Mighty Network: to blog or not to blog ?

Evaluation / Assessment

Successful students in this course will:

• 1. Authentically engage in and contribute to the course content 

  2. Develop their research skills to answer compelling and important questions around artifical intelligence and leadership issues  ---> students, teachers, schools, etc.

  3. Develop their skills to interpret research data/information from multiple perspectives

  4. Develop abilities to make compelling, clear, and concise arguments. 

  5. Further develop their skills and habits of mind to engage in deep, critical reflection upon information, personal experiences as leaders, and class activities. 

  6. Develop clear, thoughtful, and effective communication through discussion and writing. 

To demonstrate engagement and growth in the skills, knowledge, and abilities developed in this class students will be evaluated on the following assignments:

1. Class Participation & Social Media Presence (25%):

• • The quality of the learning experience in this class is largely determined by the engagement of the students. All students are expected to participate in class discussion, group activities and class feedback. (15%)

  • Please note: Twitter will be used with the course hashtag #gse570 throughout the semester. The expectation for students is to send between 3 to 5 tweets a week on related course contest. A self-evaluation rubric will be distributed during the first class. (10%)

2. Perusall readings and annotations (25%):

•  Each week you must prepare for class by reading the assigned texts and annotating them on Perusall ~ usually, 6 annotations are required for the main readings

• The readings and your comments are an important part of the course and that's why I made this assignment worth 25% of the course mark.

• The Perusall rubric will be clearly explained at the start of the semester

• Comments, questions, answering other student questions definitely help the rubric score go up!

3. Student-led seminar --> topic to be picked by the students from Sam's list (25%):

• • Starting in  Week 5 students will have approx. 60 minutes to present and to lead a hands-on lab on AI.

  • The application and/or app is the choice of the students. Please note that there must be a hands-on component to the presentation (15 - 20 minutes?)

  • Students can create their own pedagogical approach. 

  • Rubric will be shared with criteria for presentation:

  • A+ (90 - 100 → 93): Exceptionally well done; demonstrates original thought and exceeds expectations in all areas.

  • A (85 - 89 → 87): Outstanding quality; meets all assignment requirements at a high level with minor, if any, weaknesses.

  • A- (80 - 84 → 82): Good quality; fulfills the assignment requirements with no major weaknesses.

  • B+ (76 - 79 → 78): Meets the basic requirements of the assignment but has one or two notable weaknesses.

  • B (72 - 75 → 73): Adequate work; satisfactory performance that meets the minimum requirements.

  • B- (68 - 71 → 70): Minimally adequate; meets the basic requirements but lacks depth and detail.

4. Final mini-reflection or bi-weekly blogs (6 posts on Mighty Network) (25%):

• • part 1 due Sept. 19 26 (5%)

  • part 2 due one week after course ends (20 %)

  • GSE 570 Community Blogs is our private group name.

OR

• • Blog posts/journals reinforce an active learning approach to leadership by giving you the opportunity to relate some of the theories/concepts covered in the course to your own experiences. You are to write about your observations/ insights-reflections about education AI/leadership issues stimulated by the course (i.e. readings, activities, guest speakers, in-class discussions/activities).

    • •  Possible suggestions for these entries are: 

        • • •  Summarize and critically reflect on one or more of the assigned readings; 

            • Analyze your organization’s practices in light of the course concepts; 

            • Reflect on how a concept reviewed in the course could be applied to address an issue that you are facing in your professional context; and, 

            • Begin to articulate your philosophy about AI educational leadership issues, indicating how it is being influenced by the course. Additional suggestions will be offered in class by the instructors and other students. 

            • A total of 6 entries  are required to meet this criterion. They are posted bi-weekly and due before the start of class 2,  4, 6, 8, 10, 12 ---> due one week after the last class

              • I'm looking for 'synthesis' and the 'big' ideas, not just a class or reading summary.

              • Give your blog posts a catchy or revealing title and keep them to 4 - 5 paragraphs ~ not longer.

              • Sometimes your post may also include a self-reflection component.

              • What did you learn this week? How did you learn it? What questions remain unclear? etc.

The do's and don'ts of online discussion:

Rubric:

Rubric for facilitating online discussion: