Обзор учебного курса

Запрос

Using the attached course draft, make a course design overview for the curriculum committee to review. Stick to the draft; don't add outside facts or figures. 10 slides, with the support needed and the budget on the last slide.

• data-literacy-101-course-draft.docx

По шагам

1. Запрос

   Опишите презентацию на главной странице и приложите материалы.

2. Поиск

   ИИ ищет информацию (источников: 5) и задаёт несколько вопросов о запросе, рекомендуемые ответы уже выбраны. Вопросы можно пропустить.

3. План

   План приходит по карточкам: заголовок, ключевые пункты и макет для каждого слайда. Карточки можно править, удалять, добавлять или попросить ИИ переписать одну. План бесплатный.

4. Настройки

   Затем выберите оформление и способ создания: быстрый режим — 1 кредит за слайд, глубокий — 3 кредита. Здесь глубокий режим: 10 слайдов × 3 = 30 кредитов.

5. Создание

   Слайды появляются один за другим. На деле это заняло 54 с; здесь ускорено.

   Нажмите на число на слайде, чтобы увидеть, откуда оно. В заметках нет бюджета, поэтому в презентации стоит «уточнить», а не выдуманная сумма.

6. Правка ИИ

   Одна фраза для ИИ: «Make the course goals on slide 5 more specific: start each one with "By the end of the course, students can".» Изменённое подсвечивается. Правка с ИИ стоит 1 кредит; если ничего не изменилось, кредит возвращается.

7. Экспорт

   Экспортируйте редактируемый PPTX или PDF. Экспорт бесплатный, этот пример можно скачать.

Слайды

1. Approve Data Literacy 101 for first-year students and new employees
   • Course team requests committee approval to launch the course
   • Draft 2, prepared for discussion by the curriculum committee
   • Proposal is based only on the attached course design draft
2. Students and staff handle data daily but were never taught how
   • First-year students and new employees must organize and read spreadsheets for reports and weekly updates
   • Data sits in several files and is copied by hand
   • Charts get made, but nobody can say what they show
   • The course covers only everyday spreadsheet skills: no programming, no statistics theory
3. The campus pilot showed strong engagement and demand
   • 21 of 24 participants completed every exercise in last fall's campus pilot
   • Session 5 on pivot tables was the favorite in the end-of-course survey
4. Audience: first-year students or first-year employees, no prerequisites
   • Open to first-year university students or employees in their first year on the job
   • Class size: about 30 people
   • Prerequisite: basic computer skills only, no programming experience needed
5. Three goals: clean data, answer questions, present one finding
   • Turn messy raw data into a clean, well-structured table
   • Answer specific questions with sorting, filtering, subtotals and pivot tables
   • Pick the right chart and explain one finding with a one-page chart
6. Four weeks, eight hands-on sessions building skill step by step
   • 4 weeks, 2 sessions a week, 90 minutes each: 8 sessions in total
   • Sessions 1-2: understanding data and cleaning a messy table
   • Sessions 3-5: sorting, filtering, common functions, subtotals and pivot tables
   • Sessions 6-7: choosing charts and writing a one-chart data brief
   • Session 8: final group presentations and feedback
7. Every session: short demo, then most time hands-on
   • 20 minutes of explanation and demo at the start
   • 60 minutes of hands-on practice, with instructor and teaching assistant walking around to help
   • 10 minutes to wrap up and set the week's exercise
   • All practice data is made-up sample data; no real personal information is used
8. Grading: exercises and final report carry the weight
   • Attendance: 10%
   • Weekly exercises: 40%, four exercises at 10% each, due before the next session
   • Final group report: 50%, split into content 30% and presentation 20%
   • Final report: groups of 3-4, a brief of no more than 5 pages, 8-minute presentation plus 4 minutes of questions
9. Pilot feedback drove four concrete design changes
   • Session 4 functions were split: four must-know taught in class, optional ones moved to the cheat sheet
   • Practice files now include duplicate rows, blanks and mixed date formats on purpose
   • Final presentations extended from 6 to 8 minutes, plus 4 minutes for questions
   • Every handout now ends with a summary page and one self-check question
10. Approve to launch; support and budget items listed below
    • Support needed: a teaching assistant in every session to help answer questions
    • Support needed: class list one week before the course starts, so groups can be set up in advance
    • Resources: any spreadsheet app, 8 instructor-prepared practice datasets, session handouts and a function cheat sheet
    • Budget: not specified in the draft (TBD), to be confirmed with the committee

Вот и весь процесс

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