Overview of DYOM via Group Work with Supervision in AY 2019/2020 and AY 2020/2021

Discussed during and after the presentation of Ms. Tham Chuey Peng. This blog post is prepared by members of DYOM LC (find more in About Us).

This blog post aims at taking an overview of Design-Your-Own-Module (DYOM) via Group Work with Supervision in AY 2019/2020 and AY 2020/2021. The overview is for awareness and discussion of commonalities, differences and other characteristics of some of the DYOM modules.

Design-Your-Own-Module Learning Community (DYOM LC) discussed the various DYOM via Group Work with Supervision that had been offered in NUS since its inception. This is one of the topics that members of DYOM LC has expressed interest.

These modules are presented in Table 1 (grouped according to the semester they were offered) and Table 2 (grouped according to the host).

 

Table 1. DYOM via Group Work with Supervision according to the Semester

AY 2019/2020 Semester 1 (8 topics)
Ideation and Validation for Entrepreneurs School of Business
Deep Unsupervised Learning School of Computing
Type Theory School of Computing
Digital Innovations for Emerging Markets School of Computing
Mathematical Systems Biology Faculty of Science
Introductory Machine Learning Faculty of Science
PERK: Re-thinking Peer Leadership Office of Student Affairs
Machine Learning in Practice NUS IT
AY 2019/2020 Semester 2 (19 topics, including 2 re-runs denoted with *)
Dialects in Singapore: Hokkien Faculty of Arts & Social Sciences
Effective Leadership in Action BIZ, Analytics and Operations School of Business
Early Stage Commercialisation for Entrepreneurs BIZ, Strategy and Policy School of Business
Readings in Distributed Systems School of Computing
Advanced Data Structures School of Computing
Category Theory Faculty of Science
Practical Communication in Science & Math Outreach Faculty of Science
Mathematics and Architecture Faculty of Science
Chemistry of Food Faculty of Science
Classical Field Theory Faculty of Science
Electronics for Experimental Physics Faculty of Science
Gallup StrengthFinder – Unlocking Your Hidden Potential Ridge View Residential College
Creative Problem-Solving & Decision-Making Ridge View Residential College
PERK: Re-thinking Peer Leadership* Office of Student Affairs
Experiential Learning Cycle Office of Student Affairs
Peer Supporting Peer Office of Student Affairs
The Art & Science of Photography King Edward VII Hall
Product Development Temasek Hall
Machine Learning in Practice* NUS IT
AY 2020/2021 Semester 1 (16 topics, including 6 re-runs denoted with *)
Effective Leadership in Action BIZ, Analytics and Operations* School of Business
Ideation and Validation for Entrepreneurs* School of Business
Dialects in Singapore: Cantonese Faculty of Arts & Social Sciences
Applied French for Business in the Real World Faculty of Arts & Social Sciences
Creating Better Community Living Spaces Ridge View Residential College
Helping Hands, Moving Bodies Centre for the Arts
Experiential Learning Cycle* Office of Student Affairs
Peer Supporting Peer* Office of Student Affairs
PERK: Re-thinking Peer Leadership* Office of Student Affairs
Seeds of Good Office of Student Affairs
Creating Collaborative and Responsive Teams PGP House
RH Phoenix Press Masterclass Raffles Hall
RH Photography Masterclass Raffles Hall
RH Videography Masterclass Raffles Hall
RH Graphic Design Masterclass Raffles Hall
Machine Learning in Practice* NUS IT
AY 2020/2021 Semester 2 (13 topics, including 4 re-runs denoted with *)
Computational Reasoning in the Corporate World Faculty of Arts & Social Sciences
Distributed System 6.824 School of Computing
Exploration of Computer Science Research School of Computing
Bauhaus Campus 2021. Architecture Competition School of Design and Environment
Practical Communication in Science & Math Outreach Faculty of Science
Peer Supporting Peer* Office of Student Affairs
Seeds of Good* Office of Student Affairs
The Art and Science of Photography* King Edward VII Hall
Introduction to Digital Marketing Temasek Hall
Introduction to Web Application Development Temasek Hall
Outdoor Activities Committee Temasek Hall
Overseas CIP in Chiang Mai, Thailand Temasek Hall
Machine Learning in Practice* NUS IT

 

Table 2. DYOM via Group Work with Supervision according to the Host

Faculty of Arts & Social Sciences
Dialects in Singapore: Hokkien AY 2019/2020 Semester 2
Dialects in Singapore: Cantonese AY 2020/2021 Semester 1
Applied French for Business in the Real Worlds AY 2020/2021 Semester 1
Computational Reasoning in the Corporate World AY 2020/2021 Semester 2
School of Business
Ideation and Validation for Entrepreneurs AY 2019/2020 Semester 1

AY 2020/2021 Semester 1

Effective Leadership in Action BIZ, Analytics and Operations AY 2019/2020 Semester 2

AY 2020/2021 Semester 1

Early Stage Commercialisation for Entrepreneurs BIZ, Strategy and Policy AY 2019/2020 Semester 2
School of Computing
Deep Unsupervised Learning AY 2019/2020 Semester 1
Type Theory AY 2019/2020 Semester 1
Digital Innovations for Emerging Markets AY 2019/2020 Semester 1
Readings in Distributed Systems AY 2019/2020 Semester 2
Advanced Data Structures AY 2019/2020 Semester 2
Distributed System 6.824 AY 2020/2021 Semester 2
Exploration of Computer Science Research AY 2020/2021 Semester 2
School of Design and Environment
Bauhaus Campus 2021. Architecture Competition AY 2020/2021 Semester 2
Faculty of Science
Mathematical Systems AY 2019/2020 Semester 1
Introductory Machine Learning AY 2019/2020 Semester 1
Category Theory AY 2019/2020 Semester 2
Practical Communication in Science & Math Outreach AY 2019/2020 Semester 2

AY 2020/2021 Semester 2

Mathematics and Architecture AY 2019/2020 Semester 2
Chemistry of Food AY 2019/2020 Semester 2
Classical Field Theory AY 2019/2020 Semester 2
Electronics for Experimental Physics AY 2019/2020 Semester 2
Office of Student Affairs
PERK: Re-thinking Peer Leadership AY 2019/2020 Semester 1

AY 2019/2020 Semester 2

AY 2020/2021 Semester 1

Experiential Learning Cycle AY 2019/2020 Semester 2

AY 2020/2021 Semester 1

Peer Supporting Peer AY 2019/2020 Semester 2

AY 2020/2021 Semester 1

AY 2020/2021 Semester 2

Seeds of Good AY 2020/2021 Semester 1

AY 2020/2021 Semester 2

Ridge View Residential College
Gallup StrengthFinder – Unlocking Your Hidden Potential AY 2019/2020 Semester 2
Creative Problem-Solving & Decision-Making AY 2019/2020 Semester 2
Creating Better Community Living Spaces AY 2020/2021 Semester 1
Centre for the Arts
Helping Hands, Moving Bodies AY 2020/2021 Semester 1
King Edward VII Hall
The Art & Science of Photography AY 2019/2020 Semester 2

AY 2020/2021 Semester 2

PGP House
Creating Collaborative and Responsive Teams AY 2020/2021 Semester 1
Raffles Hall
RH Phoenix Press Masterclass AY 2020/2021 Semester 1
RH Photography Masterclass AY 2020/2021 Semester 1
RH Videography Masterclass AY 2020/2021 Semester 1
RH Graphic Design Masterclass AY 2020/2021 Semester 1
Temasek Hall
Product Development AY 2019/2020 Semester 2
Introduction to Digital Marketing AY 2020/2021 Semester 2
Introduction to Web Application Development AY 2020/2021 Semester 2
Outdoor Activities Committee AY 2020/2021 Semester 2
Overseas CIP in Chiang Mai, Thailand AY 2020/2021 Semester 2
NUS IT
Machine Learning in Practice AY 2019/2020 Semester 1

AY 2019/2020 Semester 2

AY 2020/2021 Semester 1

AY 2020/2021 Semester 2

 

Sharing of broad overview of various DYOM opens deeper awareness and interest on the motivation, operationalization, and practices of DYOM. The following points were raised.

1. Awareness Talks & Publicity of DYOM

It was discussed that awareness talks about DYOM would lead to an increase in DYOM topics. For example, when talks were organised to Masters of Halls of Residences and Residential Colleges before the start of AY 2019/2020 Semester 2, there were more topics hosted by Halls of Residences and Residential Colleges. This points to the possibility that there has been interest in pursuing learning flexibly (while earning modular credits) and that awareness talks will inform students and staff that there is DYOM as an avenue.

2. Class Sizes

While a minimum of 10 students is required to start a DYOM, there is no maximum number of students. However, it has been shared through experience that limiting the class-size to 40 students can retain a good learning experience.

3. Student Engagement in Designing the Module

DYOM opens the possibility for students to design the module: intended learning outcomes, assessment tasks, learning activities etc. The level of student engagement in designing the module varies among modules; some modules are driven by students with very little intervention from staff, while some other modules require significant intervention from staff. Many factors may determine the level of student engagement, such as the entrepreneurial and leadership spirit of students who lead the DYOM team. Further study may be pursued about these factors.

4. Student Motivation Taking DYOM

In modules that involve student leaders in residences, one motivation was that some student leaders themselves are keen to have their leadership activities, which they have been doing anyway, be credited. DYOM is a welcomed opportunity to do so, even if it means some extra work. For staff advisors, DYOM provides a platform to bring together student leaders from various halls and afford them the opportunity to learn and discuss about leadership.

In general, the opportunity to learn a topic of interest and the pass-fail grading may be a motivating factor for students to take DYOM.

5. Re-run of DYOM and Taking DYOM across Units

The possibility of re-running DYOM was discussed. While much of the module can be designed like the previous run, some tweaks can be introduced in a re-run.

Furthermore, an idea of taking DYOM across units was discussed. For example, the topic of leadership is popular among student leaders. Some units host DYOM on the topic. Students from other units/faculties, who may also be interested learning about leadership, may not know about the topic being hosted in another unit. This situation may point to the need of publicizing DYOM that are going to run so that students in other units may consider joining. Further study may be pursued about this, including learning how different units conduct DYOM topics that may sound similar.

Closing

Other than the two points for further study (i.e., student engagement and understanding how different units conduct DYOM), another area that may need further consideration is managing the workload in conducting DYOM, as DYOM requires different approach than teaching other modules.

Backward Design for Module Preparation

This blog post is prepared by members of DYOM LC (find more in About Us).

This blog post aims at introducing Backward Design to prepare a DYOM.

Wiggins and McTighe (2005) describe a method to designing a module where the learning outcomes are formulated at first. Once the learning outcomes have been formulated, the assessment is designed. Lastly, the learning activities are designed to achieve the intended learning outcomes in a way that allow assessment.

This method has proved successful in a DYOM. This method can be operationalised using the template below.

Identifying Key Areas of Study by the Learning Community: A Group-up Approach

This blog post is prepared by members of DYOM LC (find more in About Us).

This blog post aims at describing how key study areas were systematically formed from sharing of members of a Learning Community (LC) using Affinity Diagram (AD), a method commonly used in design. The approach was adopted at the initial phase of the LC.

Design-Your-Own-Module Learning Community (DYOM LC) convened to kick start their learning journey. Members of DYOM LC comprise of teaching staff, administrative staff, undergraduate and postgraduate students who have interests and experience in DYOM via group work (National University of Singapore, n.d.).

Gathering of inputs

All members shared their experiences, views, and thoughts about DYOM and had a fruitful discussion. Insights and remarks were ample and nicely set a hopeful and productive atmosphere to kick off their learning journey. Members shared their insights and remarks on an online platform. Like brainstorming, members shared a diverse range of observations, reflections, and queries. The online platform canvas is presented in Figure 1.

Figure 1. Inputs from members transferred onto an online platform canvas

Analysing inputs

Inputs collated from the members were then systematically analysed using a method called Affinity Diagram (AD), also known as Kawakita-Jiro (K-J) method (Kawakita, 1991) to help make sense of all information gathered and identify key study areas. Through the AD method, main themes were formed through packing and grouping data and relationships among inputs were analysed to draw insightful categorisation (see Figure 2). For this task, steps for the method suggested by Dam & Teo (2020) was adopted.

Figure 2. Grouping of inputs leading to emergence of key study areas

Key areas of study identified

Five key study areas were identified as follows:

_1. What has been helpful in running DYOM

These include various factors that have enhanced DYOM experience, such as:

    • Student-centricity of module design
    • Partnering of students and staff to enhance the teaching and learning experience
    • Collaboration between faculty of different departments to share expertise
    • Self-driven nature of the students, allowing teaching staff to play a supervisory or facilitatory role

Even as these factors have been helpful in DYOM, they may be further studied to understand what make them success factors and how to further leverage on these factors.

_2. Cautions when running DYOM

These include various factors to be considered when running DYOM. Some emerging themes include:

    • Students’ awareness about DYOM
    • Students’ level of motivation
    • Students’ awareness of how to put the module together
    • Importance of the learning environment
    • Contents and modes of assessment from MOOC that can be used as a reference
    • Factors that aid in collaboration between staff and students
    • Criteria of a successful DYOM
    • Measuring the impact of DYOM

_3. Challenges of DYOM

These includes various challenges faced by members in their roles as teaching staff, students, and administrators. Some emerging themes include:

    • Balancing interests of those involved
    • Staff and students having different perspectives and approaches
    • Inclusion of external supervisors

Furthermore, members are keen to further find out (1) the various challenges faced by each member and (2) how each member has (or has not) overcome those challenges.

_4. Frameworks of DYOM

These includes frameworks to enhance DYOM. Students-as-Partners (SaP) framework has been identified and will be explored, while still being open to other frameworks.

_5. Facts about DYOM

These includes information that is of interest regarding DYOM and that can provide perspective about the operationalisation of DYOM, such as:

    • DYOM in NUS across the years (topics, enrolment, organisers, etc.)
    • Feedback about DYOM

Going forward, DYOM LC will pursue these key study areas in the coming months and contribute to enhancement of DYOM.

References

Dam, R. F., & Teo, Y. S. (2020). Affinity Diagrams – Learn How to Cluster and Bundle Ideas and Facts. The Interaction Design Foundation. https://www.interaction-design.org/literature/article/affinity-diagrams-learn-how-to-cluster-and-bundle-ideas-and-facts.

Kawakita, J. (1991) The Original KJ Method. Tokyo, Japan: Kawakita Research Institute

National University of Singapore. (n.d.). Design Your Own Module. https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/design-your-own-module.