Based on interviews with industry professionals and recruitment specialists, this course helps you create a compelling CV / résumé that will get your foot in the door. Be the last they have to read - Be the first they want to call!
By the end of this course, you will have learned how to:
Once you have successfully grasped the foundation of interview success by completing our English@Work: Basic Job Interview Skills course, how you persuade others to believe that you are as good as you say you are is now the challenge. Our instructors have had a 100% success rate in getting interviews and landing a job, and we hope to share that experience with you.
By the end of this course, you will have learned how to:
prepare precise and persuasive answers to challenging questions
use verbal and non-verbal skills to impress the interviewers
perform professionally during and after interviews
Based on advice from accomplished professionals in the business, HR and academic field, we have created a course that helps you build a solid foundation to succeed in job interviews and get that ultimate call. This course will change the way you prepare for and perform in job interviews.
By the end of this course, you will have learned how to:
achieve interview success in six steps
find out how YOU can be an independent learner and become a life-long learner
stand out from the crowd using four strategies
avoid common mistakes
highlight soft and hard skills using appropriate vocabulary and expressions
The course aims to enable students to master the sounds of Cantonese and conduct basic conservations in Cantonese. It is suitable for learners of the following 3 categories:
(1) People from Hong Kong who may be expatriates, international students, ethnic minorities;
(2) People from the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) who may be expatriates;
(3) People from all over the world who may be heritage speakers of Cantonese, plan to study/work in Hong Kong/ the GBA, tourists… etc.
In fact, anyone who is interested in learning Cantonese are welcomed to join this course!
Interested in harnessing the power of Generative AI (GenAI) for your studies? Join us in exploring the GenAI platform, its functionality and usage policies in our upcoming workshop. Learn about how GenAI can enhance your learning experience and how to employ it in your studies while maintaining data privacy and security. We'll introduce you to 'prompts engineering' and emphasise the importance of academic integrity in the context of AI technology usage. Come and join this workshop co-organised by EDC and ITS. Event Date: 27/9/2023 Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)
Curious about integrating Generative AI (GenAI) into your teaching methodologies? Embark on a journey with EDC and ITS in a comprehensive workshop introducing the innovative GenAI platform. This session will guide you through the platform's operations, explaining its usage policies. During the workshop, we'll briefly discuss the need for redesigning our assessment strategies in sync with this advanced tool to optimise learning outcomes effectively. Even more importantly, we will discuss data security and privacy concerns surrounding GenAI usage. This workshop offers an unrivalled opportunity to expand your understanding and proficiency in using AI in an educational context. If you're prepared to explore the cutting edge of education technology, then this is the ideal workshop for you. Event Date: 20/9/2023 Facilitator(s): Chan, Dick (EDC), Mark, Kai Pan (EDC), Tam, Barbara (EDC), Leung, Rian (ITS)
Come hear three very different examples of assessment design that fully expect students to consult GenAI. They aim to deepen learning experiences by requiring students to produce multimodal submissions, revisit particular key points discussed in class, and demonstrate their understanding via hands-on quizzes and lab notebooks. When the assessment focus changes, the assessment criteria may change accordingly, and this will be included in the workshop. Event Date: 30/8/2023 Facilitator: Chen, Julia (EDC) Speaker(s): Chu, Rodney (APSS), Chan, Dick (EDC), Cheung, Gary (ABCT), Robbins, Jane (ELC)
Re-designing assessments within the context of generative AI is one of the most urgent challenges for universities. Might assessment re-design represent opportunities to build on key principles underpinning ‘good assessment’? Dependent on the disciplinary context, these might include iterative sequences of rich tasks; the development of student evaluative expertise; and linkages to real-world outcomes. Effective assessment sequences are sometimes time-consuming. By reducing assessment overload, we can create much-needed space for new possibilities: increased authentic assessment; assessments that involve critical engagement with generative AI outputs; an enhanced role for digital and interactive oral assessment; teacher and student co-learning in partnerships for assessment re-design; and assessing process as well as product. The thorny issues of academic integrity and ethical use of generative AI also merit attention but should not distract from a primary focus on the development of student learning. Generative AI raises exciting possibilities, yet there are few clear answers. In this workshop, complementary and alternative views, including those from different disciplinary perspectives will be welcomed. Event Date: 22/8/2023 Speaker: Carless, David (Professor at the Faculty of Education, HKU) Facilitator(s): Chen, Julia (EDC), Chon, Leo (EDC)
The rapid development and widening availability of generative AI tools to create and refine content presents a huge opportunity to re-assess some of the key foundational assumptions and practices behind the ways that our courses are designed and delivered. In this seminar, Dr Bates will share his views on educators’ obligations to engage with these issues, educate students (and ourselves) on the affordances and limitations of new and emerging AI tools, iteratively experiment in a space that is rapidly changing, and share the successes (and failures) of UBC colleagues. Dr Bates will also present some practical advice for different ways in which generative AI tools may be incorporated into teaching activities and assessments and outline ways in which UBC is gearing up to support instructors in these efforts. Event Date: 9/8/2023 Presenter: Bates, Simon (Vice-Provost and Associate Vice-President, Teaching and Learning, Pro Tem, Professor of Teaching, Department of Physics and Astronomy, The University of British Columbia (UBC), Canada), Facilitator(s): Lo, Dawn (EDC), Chon, Leo (EDC)
This CEO Report is about tapping into the psychological thought-processes of how great problem-solvers see, interpret and makes sense of being stuck with complexity and what they do (or fail to do) to progress. To uncover these underlying thinking patterns we administered a rigorous and systematic interview approach from clinical psychology called, Repertory Grid Technique (RGT). Our sample consists of fifty (50) seasoned CEOs /Executives spanning a wide range of industry sectors. Seven (7) inherent latent themes emerged from our analysis as to what are the core drivers (habits of mind) that help executives open up the alternatives whenever they find themselves stuck with complexity.