Designing a CPD activity for a new allied course through ADDIE approach
Name of author
Sana Ullah, Department of Molecular Sciences and Nanosystems, Ca Foscari University Venice, Mestre, Italy
and
Institute of Mechanical and Manufacturing Engineering, Khwaja Fareed University of Engineering and Information Technology,
Rahim Yar Khan, Pakistan
The participation in the summer school is supported by the Marie Curie COFUND Fellowship, EU.
Challenge and goal
The number of student intake contiues to decline over the couple of years in engineering departments, and there is no exception with mechanical engineering. The students are more interested in tools and technologies appearing as disciplines like AI and Data Sciences. Both of the fields are getting increasing attention from academia to industry. The students, therefore, are more inclined towards attaing such tools and tecniques and enhance their prospects after graduation. The trend is supported by the increasing enrollment in the programs with AI and Data Sciences as core parts. We, at our department, must realize this increasing trend and feel the urgency to incorporate AI and Data Science tools in our program curriculums. This will not only help us keep our programs in engineering relevant and interesting, but at the same time, will equip our graduates, whatever minimum required levels, with tools and technologies that are fast becoming a requitrement in almost every field.
The realization of the importance of AI and Data Sciences for the graduate students in the field of Mechanical Engineering is very important and timely. The growing importance of the ability to use tools and techniques cannot be over emphasized. Our chaallenge at the department is to incorporate a new course on AI and Data Sciences so that our graduates are better equipped and qualified with a tool fast becoming a requisite in the industry and academia.
Our goal is to prepare a course in AI and Data Science that is well aligned in our program, meeting the requirement of program learning outcomes. The urgency of the siruation requires us to prepare a course that is not too wide and deep and at the same time meets the minimum knowledge skills that are pertinent and necessay for our students to coop with the requirements of industry.
Topic of the user case
Designing a CPD activity for a new allied course through ADDIE approach
Local context (specific)
The increasingly establishing field of Artificial Intelligence (AI) and Data Sciences are fast becoming a tool for many a fields wherein decisions are made on the bases of already existing data and analyzing it. It is no difference for the field of Mechanical Engineering wherein we need to design mechanical systems from macro to micro and nano levels.
Incorporation of a new course under the category of "Allied Courses" like AI and Data Science, a modern analytical and evaluation tool, therefore, would be a timely and pertinent addition in the toolkit a undergrade student would have in her tool kit.
Local CPD goals
1) The students have a minimum understanding and working capability in AI and Data Science.
2) Enhance the "market value" and "employability" of the Bachelor graduates, extending opportunities and fields of work for them.
3) Develop a pool of peers with sufficient knowledge and expertise to offer the proposed course.
Needs defined in STEM-CPD Roadmap
Competences
Attitudes
Activities
CPD activities at the local university
This CPD has multiple activities, including:
Face-to-Face (session 1):
1) Develop a sense of urgent requirement for a course on AI and Data Science included in the curriculum of bachelors in Mechanical Engineering program.
2) Creating a personal interest for every faculty member to realize, accept, learn for themselves, and agree to include the course in the curriculum.
Individual, Asynchronous (session 2):
3) An activity for each memebr of the faculty to search for and organize their report on inclusion of AI and Data Science as an allied course in the curriculum.
The report is limited to 4 pages. The report must include headings on i) importance, ii) requirements, iii) contents, and iv) alignment of the said course into the existing curriculum. The peers will make it as much as possible that the contents of the course do not go wider and deeper while at the same time providing minimum introductory knowledge and initial operational capability.
4) The contents of the report need to be shared on a "Miro Board" for every one to look at and prepare their suggestions and comments.
The contents could be placed on the board in the form of bullet points.
Face-to-Face (session 3):
5) Brainstorming and Finalizing contents of the course
6) The CPD organizer will prepare a final report according the template for preparation and submission of a new course for approval of the concerned.
Teaching and learning materials
1) Google
2) Websites of the departments of AI and Data Science
3) A book on the importance of AI for future
4) Research articles on ADDIE approach
5) MOOC on ADDIE (a CPD may also be arranged)
6) MOOC on AI and Data Science for engineering programs
Sustainable implementation
1) Feedback from the students
2) Feedback from the peer "teacher"
3) Incorporation of the feedbacks for future offerings of the course
4) Use of ADDIE approach
Expected impact of the CPD User Case
This CPD will:
1) Sensitize the importance and requirement for a new allied course on AI and Data Science for the students of Mechanical Engineering department.
2) Enhance the expertise and competencies of the peers involved.
3) Attract students for the joining of the degree program
4) Enhance the ratings of the department and faculty
Plans for eventual continuation of the CPD within the same topic
1) Considerations for the feedbacks
2) Considerations for the ADDIE approach
3) feedback from alumni
Developing confidence in sound course design (type P1-1)
This CPD scenario describes a User case in which lecturers develop their competence in sound course design and develop attitudes in supporting student development and enabling students’ well-being in a learning process and inclusivity and practicing teaching and learning in an evidence informed way and knowledge sharing.
The approximate duration of a User case that follows this scenario is several weeks.
In this CPD scenario the participants professionalize in a close connection to their own teaching practice (at their workplace) and meet in person on location with the training staff and with other participants.
Competences
Learning environment
Time
Several weeks
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