Abstract
Nowadays online teaching and learning become a new trend, posing challenges yet providing opportunities for internationalization at home, if unique and innovative training can be offered. This is also a great opportunity to engage postgraduate students, as they naturally serve as the middleman in teaching and learning. In this proposal, we plan to develop a series of online training modules, specializing in Seismic Data Processing that is a core part for a number of courses in the Earth System Science Programme (ESSC). The goal is to establish a well-designed framework to build skill sets of seismic data processing with entry-, intermediate-, and advance-level modules. As CUHK is the only local university that covers Seismology and Geophysics, such online modules are unique in Hong Kong and will likely become an icon in the Greater Bay Area. They can also promote CUHK to the international community, as they can be accessed globally. Three graduate students will serve as Co-Is, in charge of different levels, respectively. Their roles include designing a comprehensive list of micro-modules, recruiting and co-supervising student helpers who will develop different modules, establishing mechanism to evaluate each module. Throughout the process, the engaged postgraduate students will benefit tremendously in curriculum design and development, which will broaden their perspective and enhance their research skills. They will also benefit from the teaching process, a critical part for their future career. The PI will oversee the progress of the project and provide trainings to the three co-supervisors on design and implementation of the micro-modules.
Brief write-up
Project objectives
The objective of this project is to develop 15 micro-modules about seismic data processing, starting from the basic Linux operation command to general tools used in seismology research. Part of those modules will be adopted by courses (ESSC4140 “Seismology”, 4160 “Marine Geology and Geophysics”, 4180 “Earthquake Source Physics”, 4510 “Statistical Methods and Data Analysis for Earth System Science”) for students’ self-learning and practice.
Activities, process and outcomes
We have developed 15 micro-modules with contributions from graduate students and undergraduate students. The modules are divided into Entry, Intermediate, and Advanced levels. We provide introduction to the scientific questions, detailed codes, and illustrations for each step of data processing, as well as some additional exercises. The modules of Entry and Intermediate levels have been utilized in teaching the course ESSC4140, in the 2nd semester of 2021-22.
Deliverables and evaluation
Those training modules have been further designed and organized on the website CUSeisTut at
https://cuseistut.readthedocs.io/en/latest/. Currently, all those modules can be accessed on this website.
Dissemination, diffusion, impact and sharing of good practices
To make the micro-modules accessible for broad users, we built a website and upload modules on it:
https://cuseistut.readthedocs.io/en/latest/. Currently, all the modules are open-access. The modules have been introduced to all Earth System Science (ESSC) students. In addition, the modules have been utilized in the course ESSC4140.
Impact on teaching and learning
The modules can serve as a complementary to the course content and motivate students’ self-learning altitude. In addition, the online modules provide great opportunities to deliver high-quality teaching/learning to students outside CUHK and Hong Kong.
