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Observation:
After comparing my answers with AI's, I observed that my answers sometimes can be 'overexplained', in a way that I say a lot of unnecessary things. AI made it shorter yet still carry the same meaning.

Knowledge:
I learned how the three steps of IT, which are comprehension, deverbalization, and reformulation, have to work together to ensure accurate communication. I also gained insight into how interpreters adjust messages based on audience understanding, not just language.

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Group 2’s reflections highlight that AI enhances learning of Interpretive Theory (IT) through structured explanations, relatable metaphors like the “currant bun,” and complementing human analysis. Students acknowledged that IT goes beyond word-for-word translation, focusing instead on conveying the intended meaning through a three-step process: comprehension, deverbalization, and reformulation. This deeper understanding is shaped by cultural context, emotional nuance, and audience needs.

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Observation: From this activity, I observed that AI explains things in a simpler and clearer way compared to my notes, which were more formal. I noticed that both versions had the same main ideas, just different styles. I also saw how examples and metaphors, like the currant bun, helped me understand the concepts better. This made me realise that IT is not just theory—it can really be used in real-life situations.

Knowledge: I learned that Interpretive Theory focuses on understanding meaning, not just words. I now understand the three steps: comprehension, deverbalization, and reformulation. I also learned the difference between correspondence and equivalence, and how context and background knowledge help with interpretation. This activity helped me understand IT more clearly and see how it’s different from older translation ideas.

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Observation: While comparing my own analysis with the AI’s version, I noticed something really important about how we approach learning. When I first read about Interpretive Theory (IT), I was mostly focused on remembering the steps (comprehension, deverbalization, reformulation) and who created it. But when I looked at how the AI explained it, especially how it used clearer examples and more structured definitions, I realized I missed some layers. For example, the AI connected the theory more strongly with things like cultural background, speaker intention, and the difference between form and meaning. That really opened my eyes. So my main takeaway here is that sometimes, even if you think you understood something, seeing it presented from another angle, especially a more structured one, helps you reflect and improve your understanding. It made me realize that the “sense” we interpret is not just based on words, but on everything surrounding those words: who said it, where, to who, and why. That’s a big deal in communication.

Knowledge: Before this, I honestly thought interpreting was just about being really fast at translating words from one language to another. But after doing this analysis, I now understand that Interpretive Theory is way more human than that. It’s not just about speed or accuracy of words, it’s about making sure the message and intention behind those words are fully understood by the listener. One key concept that changed my whole view was the idea of “sense”, like, how IT teaches interpreters to focus on the overall idea (the “bun”) and not just the exact words used (the “raisins”). That bun-and-raisin analogy really helped me see how important it is to transfer meaning, not just language. I also didn’t know how much background knowledge and context matters when interpreting. The AI mentioned things like culture, setting, and the speaker’s purpose, all of which influence how the message should be interpreted. That made me realize that IT isn’t just useful in spoken interpreting, but also in translation, subtitling, and even in AI tools like the one I’m using now. So overall, I gained a much deeper appreciation for the role of understanding, context, and human judgment in making interpretation truly effective.

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Observation: I realized that IT is not just about translating words but to really understand what is being conveyed. I also realized that sometimes AI can really help people to get answers with good details and example, but the user must use well written prompt for the AI.

Knowledge: IT had really helped people a lot in interpreting. Currant bun metaphor helps me to understand better about the difference between equivalence and correspondence

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One thing I’ve realized while completing this task is how much easier and more organized it is to take notes when guided by specific questions. Having clear prompts allows me to focus on the most important information, which helps me grasp the concept of Interpretive Theory without having to read long paragraphs. This made me realize that I need to change the way I take notes in the future. I should also start using AI tools to make my note-taking and analysis faster and more efficient.

From the reading material, what stood out to me the most was the concept of "sense." As an interpreter, it is not enough to simply understand the meaning of a message; one must also capture its sense to accurately convey the intended message to the audience.

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I learned that AI and human analysis are complementary rather than competitive. My personal interpreting experience provided practical understanding, while AI contributed structured explanations with historical context and concrete examples. The most comprehensive understanding comes from combining human experiential knowledge with AI's systematic detail.

I gained appreciation for how AI can enhance my analytical process by filling gaps I hadn't considered. While I understood IT's practical applications from experience, AI helped me see the broader academic landscape - including specific scholarly criticisms and more extensive applications beyond my direct experience. This taught me that AI serves as an excellent research partner to expand perspective and develop more well-rounded analyses.

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I learned that Interpretive Theory (IT) focuses on meaning than just words. Comparing my notes with AI's output made my notes and understanding simpler and complex for my reference. Now, I understand that IT delivers the sense or real meaning of a message. It is beyond that just translating word-by-word which makes communication much clearer and effective across languages. This shows that interpreters need background knowledge to translate by understanding and expressing it naturally.

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Observation: From comparing my answers to the AI's responses, I realised that my answers can sometimes be more straightforward, but there are times when I have to over explained my answers due to my lack of vocabulary. AI can give a more compact and complex answer according to the prompt that I have given.

One new knowledge: 'Sense' gave me a great idea on how to make interpretation less difficult. By having the steps; Comprehension, deverbalization, and reformulation, it gave me a clear process on how to interpret more effectively.

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Syed Azmi Hakim bin Sayed Zamri (101158)

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Syed Azmi Hakim bin Sayed Zamri (101158)

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Observation:

I learned that how you explain something depends on who you're talking to. The same information can be understood and communicated in vastly different ways depending on the audience and purpose. My notes used simple words and funny examples because I was thinking like a student trying to understand. The AI used big academic words because it was being formal. This is exactly what IT teaches - don't just copy what someone said, figure out what they meant and then say it in a way that makes sense to whoever is listening.

Knowledge Gained About IT:

IT is really about forgetting the words and remembering the ideas. I used to think interpreters just had to be really good at languages. But now I see that the hard part is actually letting go of the original words completely and rebuilding the message from scratch. It's like taking apart a Lego house and building a completely different house that does the same job - you're not copying the blocks, you're copying what the house was supposed to do.

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What I've observed from this task is my appreciation for using a timetable template, which serves as a valuable guide to help me comprehend the IT article. Without this template, I find it challenging to fully grasp the content of the IT article I’ve read. Additionally, this task requires a comparative timetable between my response and that of the AI. This comparison highlights that the AI’s responses are often simpler than mine, as I tend to complicate my writing. While I understand the theory, I prefer the simplicity and clarity of the AI’s responses.

One knowledge I've gained about IT is the significance of effectively conveying the intended message. This process is not simple, as it involves three stages: Comprehension, Deverbalization, and Reformulation. By successfully navigating these stages, the output or translation can be confidently communicated. Moreover, the metaphor of the "currant bun" helps clarify the differences between 'correspondence' and 'equivalence,' ultimately aiding in conveying the intended message.

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Observation : I learned that after making my own notes on what IT is, Im able to identify which part I would like to understand more on the topic which I then apply to my AI prompts. AI then help me understand the topic better and organize the notes to improve my understanding too.

Knowledge : I learned that interpretive theory has helped a lot in the world of interpreting. Interpreting theory explains that interpreting isnt merely about translating word by word, its about understanding and conveying the speakers intended meaning in a way that makes sense in the targeted audience's culture and also delivering the right context.

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the biggest that i have notice while doing this assignment is how easy it is to find information on interpretive theory or any information. it automatical;ly summarize all the necessary info that i only need to know.

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Observation: By completing this task, I realized how AI provides more detailed answers, including complex terms, whereas I focused more on answering the questions in a general manner.

Knowledge I gained: I learned about the "currant bun" metaphor, which surprisingly helps me differentiate and remember how equivalence and correspondence work. I also learned that interpreting is way more than just translating words. This is because, growing up, I only watched news anchors interpret their news into other languages and thought that it was basically just direct word-for-word translation. However, after doing the analysis, I realized IT is way deeper than that. Being able to understand the context and rephrase it into another language is harder than I thought, because I need to consider the other party.

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Observation:
Interpretive Theory focuses on the meaning, not just the words.

Knowledge:
Interpreters need background knowledge to translate properly. They understand the message first, then express it naturally in another language.

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Important Observation:

One important observation I made from doing this task is that comparing different perspectives helps deepen understanding and shows how ideas can be interpreted and explained in various ways.

Knowledge Gained about IT:

I learned that the Interpretive Theory focuses on conveying the intended meaning of a message, rather than translating word-for-word, and that understanding the context and using background knowledge are key parts of the interpreting process.

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I learned that using AI to support analysis helps break down complex academic texts into simpler parts, making it easier to understand big ideas step by step. Through this process, I now understand that Interpretive Theory (IT) focuses on delivering the sense or real meaning of a message, not just translating the exact words, which is really important for clear communication across languages. This approach has shown me how AI can be a valuable tool for making difficult concepts more accessible while helping me grasp the deeper principles behind translation theory.

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While doing this task, I observed that AI simplify complex theories for accessibility. The AI output makes it so much easier to understand. While comparing my notes with the AI output, I realised that the AI output uses easy language and simplifies the answer, while some of mine are just taken directly from the text. Next, one knowledge about IT that I gained after doing the analysis is that Interpretive Theory (IT) focuses on the idea of “sense”, which is the full meaning behind what is said, not just the words themselves. This includes understanding tone, intention, and background knowledge, which helps interpreters give a clearer and more natural translation.

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One important observation while doing this task is, with AI, it is easier to understand Interpretive Theory by just summarizing the article, as it helps to break down complex ideas into similar concepts, making the theory more understandable. I also learned that Interpretive Theory focuses on understanding the meanings people attach to their actions and social world, highlighting the importance of context, language and subjective experiences in research.

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One thing I noticed while doing this task is that it’s a lot easier to understand a complicated theory when you break it down into simple questions. Comparing my answers with AI’s version also helped me catch things I missed and understand the ideas better. Next, I learned about interpretive theory and the idea of deverbalization. It means that once the interpreter understands what the speaker is saying, they let go of the exact words and focus on the meaning instead. That way, they can say it more naturally in the other language instead of just translating word by word.

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One thing I've observed while doing this task is how organized it is to do my notes. With questions that are specific, it's easier for me to take down important information, which then helps me to easily grasp what Interpretive Theory is without reading a whole paragraph. In a way, this task gave me the realization that I need to start changing the way I do my notes, and I should also try and use AI to make my note taking and analysis much quicker and easier. In the reading material, one thing that stuck to me the most is 'sense'. As an interpreter, it is important to have 'sense' because understanding the meaning of a message won't be enough to actually be able to deliver the intended message.

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After doing this task, I realized that AI can make learning easier and faster. The AI answers gave more detailed and complete information, which helped me understand the topic better. I also learned that Interpretive Theory is not just about changing words into another language, but about understanding the real message and meaning behind those words.

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I learned that sense in IT is more than just the literal meaning of words it’s about conveying the speaker’s intended message using context, background knowledge, and emotion, which makes interpretation more accurate and human-centered.

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One significant lesson I took away from this exercise was that AI can divide complicated academic theories into more manageable explanations, which helped me understand the main ideas of Interpretive Theory. By comparing my notes with the AI explanation, I was also able to identify any potential gaps. After completing the comparison, I learned that interpretive theory focuses on expressing the speaker's meaning rather than word interpretation. As a result, interpreters can translate between languages more fluently and naturally.

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I learned that breaking down academic theories into simple parts helps me understand them more deeply and remember key concepts better. And now I understand that Interpretive Theory is not about translating words directly, but about conveying the speaker’s full meaning or sense by using context and background knowledge.

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While doing this task, I found that how convenient it is to have AI in our life. AI summarise the documents, questions, and answers fast. Not only it summarise information, it also helps me understand this task better in my own level of proficiency and pace.

The knowledge that I got from this task is that we need to know about "sense" and "word meaning" in interpreting. I found that interpreting not only translating the literal meaning of a text or a speech, but translating involves the intention, tone, and cultural context of a text or a speech. In that sense, translating is more than just translating but it involves conveying and understanding the meaning. It is for the audience to relate and understand the message better.

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One thing I noticed while doing this task is that interpreting is more than just translating words, it’s about really understanding what someone is trying to say and making sure the message makes sense to the listener. I learned that Interpretive Theory focuses on the idea of “sense,” which means getting the main meaning across rather than doing a word-for-word translation. It showed me how important it is to think about context and the listener when interpreting.

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Using AI to support my learning of the Interpretive Theory (IT) has been incredibly helpful and eye-opening. Before using AI, I had a general understanding of the article, but some parts were confusing, especially the technical terms and abstract concepts like “deverbalization” and “sense.” After inputting my questions and prompts, AI was able to break down the article into simple, easy-to-understand language. It also provided clear examples that helped me connect the theory to real-life situations.

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After doing this task, it showed me that while AI can quickly summarize IT concepts, human analysis adds deeper insights to it like real-world examples, metaphors (e.g., the currant bun), and practical trade-offs. This is because AI needs very specific prompts to match this depth.

I also learnt that IT’s core idea is “meaning over words.” Interpreters don’t just translate, they first have to understand, then "forget" the exact words, and finally rephrase naturally. This ensures the audience feels the message, not just hears it.

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This tasked show me how while AI can help in summarizing concepts, it cannot properly used metaphor, like the currant bun, unless prompted. Overall, I learnt that 'sense' is important in interpreting and understanding the 'meaning' only is not enough. In another word, target audience is as important as target language.

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Observation: I realised that AI can help explain complex ideas more clearly and in more detail, which helped me see how my own understanding could be improved or expanded.

Knowledge about IT: I learned that the Interpretive Theory focuses on delivering the speaker’s intended meaning, rather than translating word for word. It is about helping the audience understand clearly, even if the exact words change.