W9-11 My blog
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As I mentioned in my last blog post, I realize that the digital wave is leaving behind older people who deserve our attention as well. So I’ve been looking for this information for weeks.
In order to learn how to study the acceptance behaviour of older people towards digital technology, in recent weeks I have read Davis F D’s Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology and learnt from it the classical model of technology acceptance; and Magnusson L, Lu Y et al. in their articles Ethical issues arising from a research, technology and development project to support frail older people and their family carers at home and Exploring the emotional antecedents and outcomes of technology acceptance Next, I will continue to discuss and find the inequality of the elderly in the current ageing in COVID-19 environment.
In these weeks, I completed the final assessment of all my courses, among which the most impressive one was the preparation of Text Remix personal portfolio. The course Text Remix provided me with my first exposure to natural language processing knowledge. We want computers to be able to see, hear, speak, and act in the age of AI, and language is one of the most important features that distinguish humans from animals, and language is the vehicle for human thinking as well as the condensation and transmission of knowledge. Natural language processing is the use of computers to intelligently process natural language. Python provides several powerful capabilities for performing natural language processing, which made the course quite interesting for me. Despite the difficulty of the knowledge, I have benefited from the learning process. I not only evaluated my previous Python knowledge but I was also exposed to the most cutting-edge fields of technology. I’ve also included some of the Python programmes I’ve created in my portfolio, and I plan to continue studying and researching this topic in the future.
Here are some of the Python applets I designed↑
See you next semester!
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