Month: March 2023

Personalized and Adaptive Learning

Personalized learning is an educational approach that aims to customize instruction and learning experiences to meet the individual needs, interests, and abilities of each learner. Rather than a one size fits all approach, personalized learning employs data and technology to create tailored learning experiences for students.

The delivery of personalized learning relies heavily on multimedia tools, such as simulations, podcasts, videos, and games, to provide interactive and engaging learning experiences that can be customized to a student’s learning style. Artificial intelligence (AI) is an essential aspect of personalized learning and is used to provide personalized recommendations and support.

Machine learning is a specific type of AI that enables computers to learn from data without explicit programming. It can be used in personalized learning to analyze student data and inform instructional decisions. However, concerns about the use of “teaching machines” in learning include potential dehumanization of the learning experience and reinforcement of existing biases in the education system that could perpetuate inequalities for marginalized students.

Core Multimedia Skills

A short explanation of the goal of your video. What are you hoping people learn?
This video was made for introducing Japanese culture and nice place to travel especially Nagoya TV Tower.

I hope people to learn about Nagoya which is not really popular to for foreigners compared to Tokyo or Osaka. It is 3rd biggest city in Japan and there is many hidden spot that is beautiful and interesting.

I changed the language of this video. It was presented for Japanese class and was made of Japanese so most of people might get hard time to understand so thought English would more helpful to introduce and understand better. Also I added voice which can deliver information more effectively and concentrate more easily.

Artifiicial Intelligence Tools

Generative AI is a field of artificial intelligence that involves creating new content using machine learning algorithms, such as images, music, or text. Unlike traditional AI systems, generative AI has the capacity to produce outputs that have not been explicitly programmed. Large language models, like ChatGPT, are widely used but have limitations. They cannot genuinely comprehend the meaning of language, rely on biased training data, generate misinformation, consume significant energy, and can be used for malicious purposes.

Ethical considerations must be taken into account when using AI-generated art, such as determining who owns the copyright of the generated content and who is accountable if the content is harmful or offensive.

Evaluating the quality and accuracy of content produced by generative AI tools can be challenging. One approach involves assessing the output based on human judgment concerning coherence, creativity, and originality. Alternatively, automated metrics such as perplexity scores or similarity measures can be used to compare the generated content to a reference dataset. It is worth noting that these metrics might not always capture the complete range of qualities that make a piece of content valuable or effective.

I was playing with midjourney which is Ai art generator that can create images from the typed words. I was trying to generate Gwen who is the character from League of legend.

Above images are what I got from midjourney and I typed league of legends gwen holding a pair of scissors. It generated similar images but not quite well.