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Student reflections on the use of AI and Interpretive Theory (IT) reveal that AI tools enhance learning by providing clear, structured, and comprehensive explanations, aiding comprehension through simplified examples, and complementing human notes to reinforce understanding. In exploring IT, students consistently observed that it prioritises conveying the sense of a message rather than literal translation, following a three-step process of comprehension, deverbalisation, and reformulation. They also highlighted the significance of context, tone, and emotion in interpretation, reinforcing IT’s communicative and meaning-oriented approach..

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My first observation is I understood the Interpretive Theory (IT) in a basic way. I knew it was about understanding the meaning behind the words, and not just translating word-for-word. I could explain it using simple examples like idioms or emotional expressions. But as I worked through this task with the help of AI, my understanding became clearer and more structured. The AI helped me break down the key parts of IT, like comprehension, deverbalization, and reformulation, and showed how they work together in real-time interpretation. It also explained complex ideas in a way that still made sense to me, like the difference between correspondence and equivalence using the currant bun metaphor. Overall, AI helped me see both the practical and theoretical sides of IT, and made me feel more confident in explaining it beyond just simple examples.

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One observation I can see from this task is how AI output are straight to give the users detailed output with their explanation (depending on which AI Model used) while human notes are simplified and keeping the same output given by the AI.

Knowledge that I gained is actually seeing how interpreting text from human and AI lens are perceived. Like how humans can interpret a word like "Eh?" with varied expression in their head when reading the text (This happens when I read some manhwa during my past times), while AI Model explains "Eh?" by reading through the full text and "interpret" them by concluding the expression and meaning behind that simple word. We, as humans when it comes to interpret a text, might had to wait for the next page to actually interpret a text, while AI used the information from the given text to interpret it based on their theoretical engine that was given by them. It's basically Humans' element of surprise vs AI textual adaptability in terms of Interpretive Theory.

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One important observation I learned from doing this task is that the AI's output consistently provided a more complete and organized answers and concepts from the file, meanwhile human notes can be very brief compared to AI's output.

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Part 2-Analysing IT using Gemini AI 100967

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One important observation I made from doing this task is how crucial it is to move beyond just translating words and instead focus on the meaning or sense behind them.

I also gained a clear understanding of the three core steps of Interpretive Theory which is comprehension,

deverbalization and reformulation.

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One observation I learnt is that IT values the transmission of sense, which involves meaning intending to be conveyed by the speaker and transmitted with emotions and context, rather than a literal word-for-word rendition. The method involves three stages in the cognitive process: comprehension (listening, viewing, reading), deverbalization (some intermediate indeterminate stage where the verbal information is sort of lost), and reformulation (the act of interpretation per se). The practical origin of this theory (in the work of professional interpreters) and its rejection of rigid linguistic methods show how much its proponents prioritize what works in actual communication.

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From this task, I observed that comparing my notes with the AI’s answers helped me understand the ideas better. The AI used simple examples to make things clearer. I also learned that Interpretive Theory is about sharing the speaker’s message or meaning, not just the exact words. This helps people understand better in real conversations.

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I learned that Interpretive Theory is about understanding and expressing meaning, not just words. It involves three steps: comprehension, deverbalization, and reformulation. This task helped me see the importance of context and how AI can support my learning.

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Observation : AI tools like DeepSeek provides complete and detailed output. It provides concrete examples and connections to broader concepts that I might overlooked in my own notes.

Knowledge Gained : Interpretation not just about direct translation but an interpreter meeds to understand the context and adapt it into something that’s suitable and make sense with the original meaning or context.

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Both my notes and the AI say that Interpretive Theory is all about getting the real meaning of what someone says and sharing that meaning clearly not just swapping one word for another. My note should be good for my own understanding and other people too, while the AI generated more technical in its explanation.

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Part 2-Analysing IT (Fellicia Melissa Kinno 98962)

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my observation between my note and Ai note is it have more inadept explanation by giving a more elaborate explanation while my note is just my understanding of the information and the question of the analysis task.

I do gain more insight on IT theories in a sense where I know what it is, why it is important and how to use it

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What I Learned from This Task:
At first, I thought comparing my notes with AI output would just show what I missed. But it actually helped me see things differently like how my simple explanations paired well with the AI's fancy details. It made me realize that sometimes you need both the big ideas and the nitty-gritty stuff to really understand something.

What I Now Get About Interpretive Theory:
Before this, IT seemed like just another translation method to memorize. But digging deeper showed me it's really about helping people actually understand each other. The "bun and raisins" thing finally clicked. It’s not about translating word for word, but making sure the real meaning comes through in a way that makes sense to the listener. That's way more useful than I originally thought.

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I found that AI technologies such as Perplexity can offer deeper and organized explanations. But combining the two improves my understanding of the topic because the AI provides depth and clarity while my straightforward notes make it easier to remember.

I discovered that the Interpretive Theory prioritizes communicating a message's actual meaning, or sense, over merely translating words. The three-step process of comprehension, deverbalization, and reformulation helps guarantee that the audience understands the content correctly.

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From this task I observed that Interpretive Theory is about translating the meaning and not just the words. It actually focuses on understanding the message while using context and making it sound natural. The three steps understanding, separating the words and rephrasing help with this. Compared to the AI’s notes, mine were simpler while the AI explained more with examples. Together they helped me understand the theory much better.

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From my observation, I learned that AI's output is always long with complete information. The AI would still give additional information that is not asked and the descriptions are either too general or not related until I give the right prompt. The notes are longer yet easily to understand. I realize that AI is really useful when it comes to generate ideas, simplify complex notes and give additional intelligence.

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One key insight I gained from this task is the noticeable difference in how information is presented between AI-generated content and human notes. The AI consistently delivered thorough, well-structured responses that covered concepts in greater depth, pulling together ideas from the source material in a cohesive way. In contrast, my own notes tended to be more compressed, capturing the essence of ideas but often omitting finer details or broader connections.

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When comparing my notes with the AI’s output, I found that both explained the main ideas of Interpretive Theory, like focusing on meaning, using context, and the three-step process. My notes is simpler, while the AI’s version used more technical terms and gave deeper explanations. Seeing both helped me understand the theory better from two different perspectives. One is clear and practical, while the other is more academic.

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From this task I noticed that my notes and AI in regards to IT is to give the real meaning of words instead of literal word conversion. My note is more brief compared to AI, as AI provides more technicality to its explanations as well as examples and connections. I personally think that both notes are beneficial depending on the preference of the person studying it, with AI notes provide more explanation and mine just explaining the core ideas. Seeing the similarity and differences in both notes makes me realize the strengths and weaknesses of both.

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A key observation is how the same content can be tailored for different audiences. AI's output offers depth and precision suitable for academic or professional readers, while my notes simplifies complex ideas for beginners or casual learners. This shows the importance of adapting language and structure depending on the audience’s background and purpose.

The knowledge I gained from this is about IT focus on "sense" rather than word-for-word translation. Interpreters are trained to understand the speaker’s intended meaning, discard the exact words (deverbalize), and then reformulate the message in a way that makes sense for the target audience. This shows that interpreting is more about communication than language matching.

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From this task, one thing I noticed is that AI gives more complete and organized answers, while my notes are simpler and based on what I understand. Comparing both helped me see the same idea from two sides which AI explains in more detail, and I focus on the main points.

What I learned:
Interpretive Theory is about sharing the meaning of what someone says, not just translating words. It uses three steps: understanding, letting go of the exact words, and rephrasing the message clearly in the new language.

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Looking at both my notes and the AI-generated output, I noticed that they both covered the key aspects of Interpretive Theory, such as emphasizing meaning, considering context, and outlining the three-step process. My notes present the ideas in a straightforward, easy-to-grasp manner, whereas the AI version incorporates more specialized terminology and in-depth explanations. Comparing the two gave me a well-rounded understanding—one perspective is concise and practical, while the other offers a more academic and detailed approach.

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One important observation from doing this task:

The way information is presented really affects understanding.
When I compared the two versions, mine and ChatGPT, I realized how the same ideas can be made clearer or more confusing depending on how they’re explained. Using everyday words and relatable examples can help students understand complex theories without needing to study them deeply at first.

One knowledge I gained about Interpretive Theory (IT):

The idea of “deverbalization” is key in interpreting.
IT teaches that once an interpreter understands the sense of what is said, they mentally let go of the original words and focus on rephrasing the meaning naturally in the target language. This helps avoid awkward or direct word-for-word translations and makes communication smoother for the audience.

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What I understand about IT theory now:

I learned that IT theory is not just about translating its about understanding and expressing the original context meaning in a way that our target audience can understand which made sense.

What I gain:

I realized from this theory that translating isnt simply translating the words words by words we need to understand the context to made sure our translation made sense to other people.

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One important observation:
I found that AI helped explain Interpretive Theory in an easier way and gave clear examples. It showed me that interpreting is not just about words, but also about understanding the full meaning.

One knowledge gained about IT:
I learned that IT is about sharing the main message, not just translating word by word. It also looks at tone, background, and culture to help the listener understand better.

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ONE important observation of what you learned from doing this task:

-By comparing human and AI-generated analysis, I realized how different forms of explanation can complement each other.

ONE knowledge you gained about IT after doing the analysis:

-Interpreters must go beyond language to fully communicate meaning, often reshaping the message to suit the listener’s cultural and cognitive framework.

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I noticed that AI always gave more complete answers from the document, while my own notes were much shorter. This reminds me of Interpretive Theory's main rule: Good translation isn't about copying word, it's about sharing the meaning behind them.

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From doing this task, I noticed my notes are very simplified compared to AI's output. By comparing these two, I can trace the important information that I skimmed over. I also noticed that IT is very dependent on real world events and practices.

One knowledge that I gained about IT is that it focuses on the "sense" and "meanings" of the speaker, not only translating everything word for word mindlessly without context.

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I learnt that IT faced criticism from others and that AI output can be different a lot compared to the human output

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Part 2-Analysing IT (Natalie Anne 100050)

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One thing I observed from this week's task is AI provides a clearer, structured and more comprehensive explanation based on the prompt. It also included some additional details and examples that further explain the issue. one knowledge that I gained through this activity is a clearer understanding on the difference between "correspondence" and "equivalence" in interpretation. I personally find the currant bun metaphor a big help in making me understand the difference.

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My notes pasted on the table is based on what I read and understand, then I extracted it according to the instruction while AI include detail answer including example so we can understand better about the article. AI gives a more technical answer compared to human as we tend to summarise everything. One knowledge I gained about IT is its purpose, how to properly apply it and the ideal interpreting process

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1) The important observation that I found was that, when I wrote my answers and use AI gears too, I noticed there were similar answers to mine. AI uses professional answers than how I wrote mine because I just fill in with words I can understand but AI was detailed.

2) The knowledge about IT that I learned was how interpreting isn't just about translating word by word, it includes subtle knowledge as well to deliver main messages for audience to understand better.

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My notes are way more succinct when compared to the answers provided by the AI. Although, the AI's answers have more elaboration/explanation as compared to mine. This shows the human's ability to fully compact huge amounts of information, though over-compacting may lead to incomprehensibility due to insufficient information.

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I write things that I've read on notes. AI went beyond that. It provide further explanations on this topic because of the prompt that i inserted. I do learn few new things about this theories by comparing my current knowledge with AI's abilities.

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I've realized that how i take notes versus how AI generates the notes are very different especially from how its structured and the choice of words. My notes uses simple words so that i can understand easily and fast. On the other hand, AI uses more complete and more structured words to generate the words

To me Interpreting isn't just about translating words, but Interpreting needs varies knowledges such as cultural awareness, emotion awareness, and so on to actually deliver the meaning of the message to the target audience.

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I learned that AI made it easier for me to understand complex ideas. When I first read about Interpretive Theory (IT), some parts were confusing, but AI explained them in simple terms, which helped me grasp the concepts more clearly. One knowledge I learned about IT is that it’s not just about translating words one by one, it’s about conveying the speaker’s intended meaning. This involves using background knowledge and understanding the meaning behind the words. AI supported my learning by breaking down difficult parts and giving clear examples.

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I observed that AI tools can deepen my understanding by expanding on my notes with real life examples, clearer explanations, and professional terms. This helped me connect theory to interpreting practice more effectively.