Alekhya Dabbiru

COURSE: IS 5320 – 02 WEB ANALYTICS

Tag: bias

  • HW 8 summary

    Time Log Teams – time spent on other Teams’ sites(must have 3 entries or more):
    Date: Feb. 27, 2026 From: 9:47 pm To: 10:05 pm
    Date: Feb. 27, 2026 From: 9:54 pm To: 10:25 pm
    Date: Mar. 02, 2026 From: 7:08 pm To: 7:35 pm

    Time Log Students – time spent on other students’ sites (must have 3 entries or more):
    Date: Feb. 24, 2026 From: 4:10 pm To: 4:45 pm
    Date: Feb. 26, 2026 From: 5:55 pm To: 6:20 pm
    Date: Sat., Mar. 01, 2026 From: 2:00 pm To: 2:35 pm

    Essay I. Summary of your activities in your contents including new contents created (one paragraph). Provide all the hyperlinks (clickable) of new contents you have created this week.

    This week, I created two new posts called ‘AI Literacy’ and ‘LLMs’ under the TECH section and HW8 menus of my site. In the ‘AI Literacy’ post, I explained what AI literacy is and why it matters for students, especially because AI tools are becoming common in both school and work. In the ‘LLMs’ post, I gave a simple introduction to large language models, how they generate text, and why it is important to double check information instead of trusting everything they output. I also had a system issue where I lost my posts, data content, and comments from last week, so I had to redo HW7 again. After fixing that and rebuilding my content, I completed these two new posts for this week and added them to my menu for easy access.

    New post links:

    Why AI Literacy Matters for Students: http://52.12.113.25/2026/02/25/why-ai-literacy-matters-for-students/

    Introduction to Large Language Models (LLMs): http://52.12.113.25/2026/02/25/introduction-to-large-language-models-llms/

    Essay II. Summary of your “Thank you” event conversion (add screenshots) (one paragraph)

    For this homework 8, I have created a ‘Thank You’ page on my website and tracked it as a conversion in GA4. I set up a GA4 event tag in Google Tag Manager, connected it to the correct trigger so it fires when the Thank You page is visited, and tested everything in Preview mode to make sure it worked. After that, I checked GA4 Realtime to confirm the thank_you event was showing up, and then I marked it as a key event in GA4. This helped me understand how conversions are created and verified.

    THANK YOU PAGE LINK:

    http://52.12.113.25/thank-you-so-much-for-visiting/

    thank_you event

    Essay III. Summary of your “menu click” event conversion (add screenshots) (one paragraph)

    For the menu click event, I track when users click on the ‘AI Literacy’ link in my menu. I created a Click -Just Links trigger in Google Tag Manager and set the condition to fire when the Click Text contains AI literacy. Then, I built a GA4 event tag and connected it to that trigger. I tested everything using Preview mode to confirm the tag fired correctly.

    After that, I checked GA4 Realtime and confirmed that the menu_ai_literacy event was showing up, and marked it as a key event to track it as a conversion.

    menu_ai_literacy event

  • Introduction to Large Language Models (LLMs)

    Large Language Models, which is popularly known as LLMs, function as artificial intelligence systems that can read and write like humans. They require extensive text data for their training because the model needs to understand language patterns to create responses and solve problems and produce text and perform translation work and make original content.

    The understanding of information by LLMs differ from how humans comprehend the information. The system generates responses through word prediction that usually follows the training data patterns. Because of that, they can sound very confident even when the answer is incorrect. It is important to use these systems with caution because they can replicate existing biases from their training data. The introduction of AI tools to educational and professional environments makes it necessary to understand LLM functionality for responsible tool usage.

    Sources:

    https://www.ibm.com/think/topics/large-language-models

    https://teaminnovatics.com/blogs/large-language-models-llms-overview/

    https://blog.acer.com/en/discussion/1297/llms-the-key-to-unlocking-the-potential-of-ai