International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index Revolutionizing English Learning with AI: Insights from ChatGPT and Google Gemini Tira Nur Fitria Institut Teknologi Bisnis AAS Indonesia tiranurfitria@gmail.
AbstractAiThis research describes the use of both Google Gemini and ChatGPT in English language learning.
This research is descriptive qualitative.
The analysis shows that both ChatGPT and Gemini provide valuable insights into AI's role in English language learning, though their approaches differ.
ChatGPT focuses on practical applications like personalized feedback, chatbots, and analytics tools, emphasizing text generation and teacher workload reduction.
Google Gemini, with its multimodal capabilities, highlights interactive learning systems, automation, and accessibility improvements in education.
Both models stress personalization, interactivity, and teaching efficiency but with different emphasesAiChatGPT on student analysis.
Gemini on immersive experiences, and data-driven teaching.
While both tools offer great potential, the choice between them depends on whether we prioritize text-based tasks (ChatGPT) or multimedia content (Google Gemin.
Choosing between ChatGPT and Google Gemini depends on our specific needs.
If we require text generation, such as creating articles or engaging in text-based conversations.
ChatGPT is a better fit due to its focus on producing natural, relevant text.
However, if you need to handle multiple types of data like text, images, audio, and video.
Google Gemini's multimodal capabilities make it more versatile for multimedia tasks.
While ChatGPT is ideal for textbased applications and integrates easily through APIs.
Gemini is more suited for users within the Google ecosystem.
ChatGPT is known for generating high-quality text, while Gemini provides good quality across various formats, but its effectiveness varies with context.
Ultimately, the best choice depends on whether your focus is on text or multimedia tasks.
Keywords: Artificial Intelligence (AI).
ChatGPT.
English language learning.
Google Gemini INTRODUCTION The term Artificial Intelligence (AI) was first introduced in the 1960s and has since advanced In the increasingly advanced digital era, artificial intelligence (AI) has become an integral part of various aspects of our lives.
AI functions to process and analyze large amounts of data, and provide effective and efficient solutions.
One branch of AI that is growing rapidly is Generative AI, which focuses on creating new content based on learned data.
Generative AI tools can produce various forms of output such as text, images, audio, and video, with capabilities that are increasingly close to human Generative AI tools are a type of artificial intelligence that is capable of creating new content based on data it has learned.
These tools can produce various types of results, such as text, images, audio, or video, by emulating patterns and information from existing data (Fitria, 2024.
Generative AI leverages techniques such as deep learning and language models to produce creative and relevant output, and can be applied in areas such as content creation, design, and data analysis.
The advancement in the field of artificial intelligence (AL) holds the potential to create new horizons for knowledge, learning, and creativity (Islam & Ahmed, 2.
There are some examples of Generative AI tools that demonstrate the capabilities of this technology in a variety of applications (Fitria.
Journal IJCIS homepage - https://ijcis.
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php/ijcis/index An artificial intelligence model (AI mode.
is a system or computer program designed to imitate or simulate human thinking and learning abilities (Fitria.
These models use algorithms and data to perform tasks that typically require human intelligence, such as pattern recognition, learning, decision-making, and natural language processing.
There are various types of AI models, including those used for image recognition, language processing, prediction, and more.
Artificial intelligence models, such as ChatGPT or Google Gemini, are examples of the use of deep learning and Natural Language Processing (NLP) to process and generate natural human language, as well as perform other tasks based on the data provided.
ChatGPT is a language model from OpenAI that can generate text based on context, answer questions, and help with various writing tasks (Fitria.
Fitria et al.
, 2.
Google Gemini, a multimodal generative tool from Google, is capable of processing and generating content from text, images, audio, and video.
Gemini AI stands out for its ability to process various types of data, including text, images, audio, and video, to produce varied and innovative content.
Over the years, many AI applications have been developed, with GPT-4 and Gemini being among the most prominent (Meral et al.
Recent developments in artificial intelligence (AI), particularly with generative pre-trained Page 77 International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index transformers like ChatGPT and GoogleAos Gemini, have expanded the range of research across multiple fields (Rana & Katoch, 2.
GPT-4.
GPT-4o, and advanced Gemini are notable large language models (LLM.
with the ability to process and understand visual data (Gynay et al.
, 2.
Google Gemini is a cutting-edge AI developed by Google, notable for its advanced capabilities that are comparable to those of ChatGPT (Lee et al.
, 2.
Google Gemini is a multimodal generative AI tool developed by Google.
It is designed to process and generate content across various formats, including text, images, audio, and video.
By integrating these different types of data.
Gemini provides versatile and innovative solutions for various applications, including educational technology and content creation.
Its advanced capabilities allow it to handle complex inputs and generate diverse outputs, making it a powerful tool for enhancing and transforming interactions in multiple domains.
Gemini is a large language model developed by Google AI designed to provide informative responses to a wide range of questions, including those that are open-ended, challenging, or unusual (Ananda, 2.
Google's Gemini AI marks a major advancement in chatbot technology, highlighting its sophisticated capabilities and cutting-edge features (Masalkhi et al.
, 2.
There are several previous studies related to the use of Gemini AI.
Saeidnia .
explains that Gemini was created to improve user experiences by context-specific Its goal is to simplify information access, enhance customer service, and provide customized content suggestions.
The rivalry among companies in developing AI-driven chatbots is fueling swift progress and innovation within the industry.
Joseph et .
explain that ChatGPT and Google Gemini were found to be equally effective in creating patient cholecystitis, and hydrocele.
The analysis showed no significant differences in readability, word count, sentence length, or reliability between the two tools.
Omar et al.
evaluated and compared GPT-4 and Google Gemini in generating medical research introductions and showed that Gemini outperformed GPT-4 in reference accuracy, achieving higher correctness .
2%) and accuracy .
0%), though its introductions were shorter.
GPT-4 provided more detailed content but had lower citation accuracy .
0% correctness, 49.
2% accurac.
and a higher incidence of fabricated references.
Overall.
Gemini demonstrated superior performance in producing credible and accurate references, highlighting its potential for effective collaboration in medical Shukla et al.
explain that ChatGPT.
Journal IJCIS homepage - https://ijcis.
net/index.
php/ijcis/index Gemini, and Perplexity each have unique strengths.
ChatGPT excels in understanding textual data, while Gemini and Perplexity handle both text and visual data ChatGPT and Gemini lack transparency as they do not cite sources, making verification difficult, whereas Perplexity ensures greater transparency by providing citations.
All three platforms involve associated costs.
Mihalache et al.
explain Google Gemini and Bard demonstrated acceptable proficiency in ophthalmology with a 71% accuracy on 150 multiple-choice questions.
Country-specific versions showed minor, statistically insignificant performance variations, with Gemini in Vietnam scoring highest .
%) and Bard in the Netherlands lowest .
%).
Both chatbots often provided confident explanations even when incorrect.
Rossettini et al.
explain that ChatGPT-4.
Microsoft Copilot, and Google Gemini effectively predicted answers on the CINECA healthcare entrance exam, with ChatGPT-4 and Microsoft Copilot outperforming Gemini.
While their responses were logically coherent, candidates are advised to use these tools as supplementary aids rather than primary study Hasanein et al.
investigated university students' acceptance of the AI tool Gemini and found that behavioral intention (BI) to adopt it is strongly influenced by perceived ease of use (PE) and social influence (SI), though PE's impact on academic performance was not significant.
Ease of access (EE) does not directly affect BI but encourages use due to Facilitation conditions (FC) influence BI but not actual use, reflecting insufficient external BI mediates the relationships between EE.
PE.
SI, and Gemini's adoption, offering insights applicable to higher education globally.
Karaca .
analyzed 120 Turkish stories created by ChatGPT-3.
ChatGPT-4, and Gemini1.
5 Pro revealed that ChatGPT-3.
5 generally produced more readable stories according to the Ateman formula, while Gemini performed better with the Bezirci-Ylmaz ChatGPT-3.
5's story readability increased with education level, with undergraduate stories being the most difficult and primary school stories the While all AI models generated stories appropriate for their intended education levels, the stories often exceeded the expected difficulty.
Overall.
ChatGPT-3.
5 and Gemini were more effective in story creation, and the Bezirci-Ylmaz formula was more suitable for assessing readability.
Ranjan et al.
evaluated ChatGPT 3.
5 and Gemini's performance on 200 microbiology questions showing similar accuracy, with correct response rates of 71% and 70.
Their performance varied by topic:
Gemini performed better in General Microbiology and Immunology, while ChatGPT 3.
5 excelled in Applied Page 78 International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index Microbiology.
The results suggest that both AI platforms have potential in microbiology and medical education, but further development and updates are needed to improve their performance.
Rane et al.
examine ChatGPT and Gemini highlighting their strengths and weaknesses.
Gemini benefits from integration with Google Search, improving its factual accuracy, while ChatGPT excels in conversational fluidity and creative expression.
Both models face challenges with bias reduction and safety.
Gemini focuses on multimodal functionality and integrates with Google's infrastructure, making it a powerful knowledge tool.
ChatGPT, with its emphasis on natural language interactions and creative text generation, is ideal for conversational AI.
While both models are strong in text comprehension and generation.
ChatGPT stands out in natural language generation and code understanding, whereas GeminiAos integration with external tools boosts its real-world problem-solving capabilities.
Rane .
explores AI-enhanced tools like Gemini and ChatGPT offer significant benefits in education, such as simplifying content creation, personalizing assignments, and analyzing performance to identify learning challenges.
However, they raise concerns about authenticity, quality, and the potential for plagiarism and academic integrity issues.
Ananda .
explores students' perceptions of using Gemini as a supplementary tool in the English writing process.
Nine out of thirty selected EFL students participated in semi-structured While many students were reluctant to adopt Gemini due to familiarity with other AI tools, they acknowledged its valuable features for writing.
Despite current preferences for familiar tools, positive feedback indicates that Gemini could become a useful writing aid in the future.
Carly et al.
evaluate ChatGPT-4 as effective performance in analyzing both standard and complex glaucoma cases and proposing accurate surgical plans.
In contrast.
Google Gemini showed significant limitations, with frequent instances of inaccurate or incomplete responses.
Meral et al.
compare the performance of GPT-4.
Gemini, and emergency medicine specialists in using the Emergency Severity Index (ESI) for patient triage in emergency departments.
Rane et al.
compare Gemini and ChatGPT in finance and accounting tasks highlighting the impact of model size, architecture, and resource allocation on efficiency.
Gemini benefits from extensive datasets and computing power, excelling in complex financial analysis but with higher computational costs.
In contrast.
ChatGPT from OpenAI emphasizes speed and resource efficiency, making it ideal for tasks requiring quick text While both models excel in data analysis, financial modeling, reporting, auditing, and customer Journal IJCIS homepage - https://ijcis.
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php/ijcis/index service.
Gemini may have an edge in accuracy due to its resources, while ChatGPT shines in creativity and text generation.
Ahmad et al.
explain that ChatGPT-4o outperformed the others, demonstrating the potential of large language models as educational tools in periodontology.
Lorenzi et al.
assessed the effectiveness of OpenAI's ChatGPT 4 and Google's Gemini Advanced in offering treatment recommendations for head and neck oncology cases.
Is & Menekseoglu .
explain that ChatGPT-4 significantly surpassed Google Gemini in answering rheumatology board-level questions, showcasing its effectiveness in handling complex and specialized knowledge related to rheumatological diseases.
Gupta et al.
describe ChatGPT 4.
0 and Google Gemini, differ in diagnostic accuracy, with ChatGPT 0 leading at 64.
89% overall.
These tools show promise in enhancing diagnostics and medical education, their effectiveness varies depending on the area, with Google Gemini performing inconsistently across different categories.
Phillips et al.
finds that ChatGPT exceeds Google Gemini in readability, despite having similar metrics.
This indicates that ChatGPT may be more effective in creating clearer and more comprehensible patient education materials.
Sallam et al.
demonstrate ChatGPT-4 and Gemini have better performance in English than in Arabic, with ChatGPT-4 consistently outperforming Gemini in terms of correctness and CLEAR scores.
English.
ChatGPT-4 achieved 80% correctness, while Gemini scored 62.
5%, compared to 65% vs.
55% in Arabic.
Both AI models showed stronger performance in lower cognitive domains.
Overall, both ChatGPT-4 and Gemini showed promise for educational This research aims to explore the use of both Google Gemini and ChatGPT in English language Although several studies have evaluated Gemini's effectiveness across different fields, including healthcare, content creation, and education, there is a notable gap in research specifically focused on its role in English language acquisition.
For instance.
Saeidnia .
highlighted Gemini's ability to deliver personalized and context-specific information, improving user experiences and customer However, research comparing GeminiAos effectiveness in language learning, particularly in terms of fluency, grammar, and vocabulary acquisition, is limited.
Previous studies, such as those by Joseph et al.
and Omar et al.
, have compared Gemini with other tools like ChatGPT in various domains, showing their comparable strengths in generating accurate and reliable information.
However, these studies did not investigate their impact on English language learning.
Furthermore, studies Page 79 International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index like Ananda .
have explored students' perceptions of Gemini as a supplementary tool for English writing, but there is insufficient research on its potential to enhance other language skills, such as speaking and listening.
While both Gemini and ChatGPT excel in generating text, as seen in research by Shukla et al.
and Rane et al.
, the implications of their multimodal capabilitiesAi especially in integrating text and visual dataAihave not been thoroughly explored for language learning This research aims to fill this gap by comparing Gemini and ChatGPTAos effectiveness in improving English fluency, writing skills, and Additionally, it will address concerns about the authenticity and ethical use of AI in language learning, a topic discussed by Rane .
The novelty of this research lies in its focus on GeminiAos specific potential in English language learning, comparing it with ChatGPTAos established By assessing how Gemini supports vocabulary building, reading comprehension, and overall fluency, this study will provide new insights into its role in the educational process.
The research also examines students' acceptance of Gemini, exploring how its multimodal features can be leveraged for improved language learning experiences.
This study not only contributes to the understanding of Gemini in the context of English language learning but also offers a comparative analysis that has not been deeply explored in previous studies.
II.
METHOD
This research uses descriptive qualitative Descriptive research describes and analyzes in detail how these two tools function in English language learning, as well as their advantages and This research can describe the various features offered by ChatGPT and Google Gemini, such as multimodal capabilities in Gemini and text focus in ChatGPT, as well as how these features are applied in the context of English education.
Additionally, the researcher can compare the advantages of each tool in aspects such as personalization, interactivity, teaching efficiency, and accessibility that were discussed earlier.
Descriptive research allows us to explore how each tool is used by educators and students in English language learning, as well as in the context of real applications such as classroom use, self-paced learning tools, or reduced teaching load.
With a descriptive approach, the researcher can explore and describe in detail the comparison between ChatGPT and Google Gemini in the context of use in English education, providing a clear picture of the advantages, limitations, and more Journal IJCIS homepage - https://ijcis.
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php/ijcis/index appropriate options depending on the purpose and context of use.
For this research, data are collected using documents in the form of the official websites of ChatGPT and Google Gemini.
This documentation will include a description of the features, capabilities, and use of each tool in an English language education Data collection will be carried out by studying the information available on the official OpenAI website for ChatGPT and the official Google platform for Gemini.
In addition, additional data can be obtained through forums, related articles, or case studies that discuss the application of these two tools in the world of education.
The data collected are analyzed by explaining the findings in the form of tables or pictures narratively.
This analysis aims to compare the various features and uses of ChatGPT and Google Gemini in English language learning.
Each finding will be presented in the form of a table showing a comparison of the two tools' main features, such as the multimodal capabilities of Gemini and the text focus of ChatGPT, as well as the advantages and disadvantages of each in the context of educational After that, a narrative explanation will be provided to describe the findings in detail, explain the differences in how the two tools support English language learning, and provide insight into which is more suitable for use in various educational contexts.
FINDINGS AND DISCUSSION
Findings ChatGPT Using ChatGPT involves several simple steps, depending on how you plan to access and use the To access ChatGPT, you can visit the official OpenAI website, such as chat.
com, or use the official app available for mobile devices.
You may need to create an account or log in if you donAot already have one.
Alternatively, developers can access ChatGPT via the OpenAI API by registering and obtaining the required API key.
Once you have access, enter your prompt in the ChatGPT user interface, such as asking a question or giving a specific instruction.
You can also provide more context or detailed instructions for more relevant responses.
After sending the prompt, wait a moment for ChatGPT to process and generate the answer or content.
Once the response is received, review the result to ensure it meets your needs and make any necessary edits.
needed, we can provide feedback or ask follow-up For developers using the API, follow OpenAIAos documentation to make API calls, and use our preferred programming language to Page 80 International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index integrate and customize the results.
It is important to use ChatGPT ethically and responsibly, avoiding harmful activities or spreading incorrect By following these steps, you can leverage ChatGPT for a variety of applications, from answering questions to generating creative and informative text-based content.
Figure 1.
The View of ChatGPT In general.
ChatGPT requires a login to access much of its functionality, especially for the latest versions and premium features.
However, in some cases, users may be able to access the basic version of ChatGPT without logging in for a limited trial.
This allows using basic features or older versions of the ChatGPT model without having to create an account.
However, loginless access usually has limitations, such as not saving conversation history or user preferences.
If we select "Stay logged out," you may only be able to use basic features without full access to premium functionality or conversation history.
To get a more complete experience and take advantage of all the features offered, creating an account and logging in is usually required.
Some platforms may offer limited access without logging in as part of a marketing strategy or to provide an initial overview of the service, but for more comprehensive use, logging in and creating an account is still recommended.
Figure 2.
The Prompt in ChatGPT To write prompts in ChatGPT effectively, first clearly define your goals, such as whether you need an answer to a question, generation of text, or explanation of a specific topic.
After that.
Journal IJCIS homepage - https://ijcis.
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php/ijcis/index provide a little context about the topic or task you want to cover so ChatGPT can better understand your request.
Next, provide specific instructions, such as the desired length of the text, whether Page 81 International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index there is a particular format that must be followed, or whether certain examples need to be included.
Finally, make your question or request clear and targeted, so that ChatGPT can provide answers that are relevant to your needs.
For example, you could write, "Can you help me with my English assignment? I need to write three paragraphs of descriptive text about artificial intelligence in English language teaching.
Please include examples of AI applications like language learning apps, chatbots, and virtual tutors, and explain how they benefit students and educators.
By following these steps, you will get appropriate and more effective answers from ChatGPT.
Figure 3.
The Answer from ChatGPT The content of the text is clear, comprehensive, and highly relevant to the topic of Stone employ AI to tailor exercises," the comma AI in English language teaching.
It highlights the usage helps introduce the example without key contributions of AI, such as personalized disrupting the flow of the sentence.
However, feedback through learning apps, interactive there are minor areas where punctuation could language practice with chatbots, and increased improve the flow: in the sentence "Moreover.
AI accessibility to education.
Specific examples like enhances the accessibility of English language Duolingo and Rosetta Stone strengthen the education by breaking down barriers of geography argument by showing how AI is applied in realand resources," a comma after "geography" would world platforms.
Additionally, the mention of improve clarity by separating the two distinct natural language processing (NLP) and other tools ideas within the sentence.
Another possible like automatic speech recognition and translation improvement could be the addition of a comma in services provides depth to the discussion, focusing "Through natural language processing (NLP), on both educational benefits and the broader these AI systems can understand," making the impact of AI on accessibility and inclusivity.
The transition smoother between the introductory grammar in the text is solid, with well-structured phrase and the main sentence.
Overall, the text is sentences that flow logically.
The use of verbs is well-written and clear, with solid grammar, consistent, and tenses are correctly applied.
appropriate punctuation, and content that is both Sentences like "AI-powered language learning informative and relevant to the topic.
It highlights apps provide personalized feedback" are how AI is shaping English language teaching and grammatically sound, and the writing maintains a offers insightful examples of its application.
professional tone throughout.
There are no glaring few minor punctuation adjustments could enhance grammatical errors, and the text stays clear and the flow, but overall, the text is effective in easy to follow.
Punctuation is used effectively, conveying its message.
with commas, periods, and other punctuation marks helping to structure the text and aid 2.
Google Gemini For example, in the sentence "For Using Google Gemini, like other generative AI example, platforms like Duolingo and Rosetta tools, involves several basic steps to maximize its Journal IJCIS homepage - https://ijcis.
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php/ijcis/index ability to generate content.
First, access the Google Gemini website or the platform providing access and register if you donAot already have a Google account.
Then, select the appropriate features or modes based on your needs, such as text generation, image creation, or data analysis.
Next, input the relevant data, whether it's a description or topic for text generation or a description or reference image for image generation.
Adjust settings as needed, such as determining writing style or level of detail, and choose a specific model or algorithm for more tailored results.
Once everything is set, initiate the generative process, and Google Gemini will process your input and generate content.
Review the output to ensure it meets your standards, making any necessary adjustments or edits.
After finalizing the content, save or export it in the desired format, and if needed, integrate it with other applications.
Finally, evaluate the results and provide feedback for future Keep in mind that different versions or implementations of Google Gemini may have variations in their features and interfaces, so refer to the user guide or official documentation for more detailed instructions.
Figure 4.
The View of Gemini To use Google Gemini, it is usually necessary to log in with a Google account.
Google Gemini, as part of the Google ecosystem, requires an account to access its full features, including integration with other Google products and services such as Google Drive and Google Workspace.
Logging in with a Google account allows users to take advantage of various features, such as data storage, personalization, and personal settings, as well as ensuring data security through Google account security features, such as twofactor authentication.
While some basic features may be accessible without logging in, for the full experience and access to all the functionality Google Gemini has to offer, logging in with a Google account is the recommended and often necessary step.
Figure 5.
The Prompt in Gemini Journal IJCIS homepage - https://ijcis.
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php/ijcis/index To write a prompt in Google Gemini AI, you can follow steps similar to writing a prompt in ChatGPT, but with some adjustments for the Gemini platform which has multimodal capabilities.
First, define your goals clearly, for example explaining what you need from the AI.
If you need help with an English assignment, specify the type of assignment.
For example, you could write, "Can you help me with my English assignment?" This way, you provide a clear picture of what you expect from AI, allowing Gemini to provide responses that are relevant and tailored to your needs.
When the researcher writes a prompt.
Gemini describes AuIf you're looking for help with an English assignment.
IAom here to assist! Simply provide the details, and I can guide you through the entire process.
WeAoll start by understanding the assignment prompt and breaking it down into manageable steps.
I can also help with research, finding credible sources, and gathering the necessary information.
From there, weAoll outline your assignment to create a clear structure, followed by drafting, revising, and editing your work.
Additionally.
IAoll help with proofreading to check for grammar, spelling, and punctuation errors, and ensure that citations are formatted correctly according to the required style (APA.
MLA.
Chicago, etc.
To begin, please share the assignment prompt, the topic or subject, length requirements, citation style, deadline, and any specific guidelines or requirements.
Feel free to ask any questions or share any concerns Ae IAom here to support you throughout the process! Let's get started!Ay.
Figure 6.
The Answer from Gemini credible sources, especially for data that requires high Answer results from Google Gemini are not accuracy.
While Google Gemini may feature always taken directly from Google sources or certain integration with various information sources As a generative AI model.
Gemini uses depending on the platform, the basic functionality of machine-learning techniques to generate text based on its generative AI does not include searching directly patterns and information that have been learned from from sources when providing answers.
Therefore, it is various training data.
Google Gemini is trained using important to check the reliability of the information large amounts of data from various sources, such as provided by Gemini through trusted sources.
books, articles, and websites, to form the knowledge The content of the paragraphs is thorough and used to provide answers.
This model does not relevant, covering several key aspects of how AI is automatically retrieve information from specific impacting English language teaching, such as sources or search real-time data from Google when personalized answering questions.
As a generative model.
Gemini automated grading, and enhanced teaching efficiency.
creates text that is relevant to the context of the Specific examples, such as AI-powered chatbots and question without including direct quotes or specific automated grading systems, are used to illustrate the references, except in certain formats or applications points made, adding clarity and depth to the that require it.
Because answers are generated based discussion.
Grammar and spelling are correct on learned patterns and knowledge, it is important to throughout the text, with well-structured sentences and verify the information provided by Gemini through no noticeable errors or typos.
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php/ijcis/index appropriately, with commas, periods, and other punctuation marks helping to separate clauses and enhance readability.
However, there are a few instances where punctuation could improve clarity.
For example, in the phrase AuEnglish language teaching is no exception.
With its ability to process,Ay adding a comma after AuexceptionAy would improve the transition between sentences.
Additionally, in the list AuFrom intelligent tutoring systems that adapt to individual student needs to automated grading and feedback mechanisms,Ay it might be helpful to add a comma before Auand feedback mechanismsAy for consistency.
Similarities ChatGPT vs Google Gemini ChatGPT and Google Gemini are two generative AI tools that share several important similarities.
Both tools are widely used in education, business, and content creation, with applications such as writing, learning materials, and multimedia creation.
In terms of multimodal capabilities.
ChatGPT primarily focuses on text generation, while Google Gemini offers more flexibility by handling text, images, audio, and video.
Both tools use advanced AI technology, with ChatGPT relying on language models and deep learning for text generation, while Gemini employs advanced AI models for text, image, and multimedia In user experience.
ChatGPT focuses on providing a fast, efficient, and intuitive text-based interface, whereas Google Gemini aims for a seamless experience by enabling efficient interaction and multimedia content creation.
Regarding customization.
ChatGPT allows for customization of text-based content based on user input, while Google Gemini offers customization for both text and multimedia outputs through various methods.
Despite these differences, both tools aim to provide innovative AI solutions for content creation and user interaction, differing mainly in the types of data they process and the range of output they produce.
Both tools share the goal of providing innovative AI solutions for content creation and user interaction, with some differences in the types of data they process and the output they Table 1.
Similarities ChatGPT vs Google Gemini Aspect ChatGPT Google Gemini Multimodal Focuses on text generation.
Handles text, images, audio, and video, offering Capabilities more flexibility.
Content Generation Generates text such as articles.
Produces various types of multimedia output.
dialogues, and descriptions.
Advanced AI Uses language models and deep Uses advanced AI models for text, image, and Technology learning to generate text.
multimedia content.
Applications in Used in education, business, and Also used in education, business, and content Education and content creation, such as writing creation, including marketing and multimedia Business and creating learning materials.
User Experience Focuses on providing a fast.
Aims for a seamless experience with multimedia efficient, and intuitive text-based content creation and efficient interaction.
Customization Allows customization of text- Offers customization for both text and multimedia based content based on user input.
output, with varying methods.
Differences ChatGPT vs Google Gemini ChatGPT and Google Gemini are two generative AI tools that have some basic differences.
ChatGPT primarily focuses on generating text, such as articles, question answers, and conversations, while Google Gemini can process and generate a broader range of content, including text, images, audio, and video, allowing for more diverse content creation.
In terms of multimodal capabilities.
ChatGPT is limited to text processing, whereas Google Gemini handles multiple data formats, offering more flexibility.
The platforms and integrations also differ: ChatGPT, developed by OpenAI, is integrated through APIs for various textbased applications, while Google Gemini, developed Journal IJCIS homepage - https://ijcis.
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php/ijcis/index by Google, is integrated into the Google ecosystem and leverages Google tools for broader solutions.
Regarding usage focus.
ChatGPT is ideal for textbased applications like chatbots, automated writing, and virtual assistants, whereas Google Gemini is better suited for applications that require multimedia content creation and complex data analysis.
While ChatGPT is known for generating natural and relevant text in textonly contexts.
Google Gemini is expected to produce high-quality content across multiple formats, with varying accuracy depending on the data type.
Finally.
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php/ijcis/index across various multimodal applications.
This table illustrates that the key difference lies in the multimodal capabilities of Google Gemini, which allows it to handle various types of data, while ChatGPT remains focused on text generation.
Table 2.
Differences ChatGPT vs Google Gemini Aspect ChatGPT Google Gemini Types of Content Primarily focuses on text generation, such as Can process and generate text, images.
Produced articles, question answers, and conversations.
audio, and video, offering more diverse content creation.
Multimodal Primarily handles text, not images, audio, or Handles multiple data formats, including Capabilities text, images, audio, and video.
Platforms and Developed by OpenAI and integrated Developed by Google and integrated into Integrations through APIs for various text-based the Google ecosystem, leveraging Google tools for broader solutions.
Usage Focus Ideal for text-based applications like Suitable for applications requiring chatbots, automated writing, and virtual multimedia content creation and complex data analysis.
Output Quality Known for generating natural and relevant Expected to generate high-quality content and Accuracy text, but limited to text-only contexts.
across multiple data formats, with accuracy varying depending on the data Usage and Accessible through OpenAI APIs and Integrated within the Google ecosystem.
Access platforms for a wide range of users and potentially offering broader use across various multimodal applications.
Furthermore, the appearance of ChatGPT and Google Gemini differs based on the user interface design and functionality of each tool.
ChatGPT and Google Gemini differ significantly in their user interfaces and functionalities.
ChatGPT features a simple and minimalist design, focusing on text input and output areas, where users type their questions or instructions in the input box at the bottom of the screen, and the results are displayed above in speech bubbles or plain text.
The main feature of ChatGPT is the display of chat history, which can be deleted or adjusted through settings.
It is available on both desktop and mobile platforms with a consistent design tailored to each device, primarily focusing on textbased interactions accessed via OpenAIAos platform.
In contrast.
Google Gemini has a more complex and multimodal interface, designed to process and display a variety of data formats.
Aspect User Interface Text Input Box Output Area Main Feature including text, images, audio, and video.
Users can enter text or upload files, with additional options to set multimodal parameters.
Results are displayed in different formats, depending on the input, providing a more diverse content presentation.
Google Gemini offers customization options for different data formats and is integrated within the Google ecosystem, with platform-specific functionality that reflects Google's design approach, making it part of a broader suite of In general.
ChatGPT offers an interface that focuses more on text and conversational interactions, while Google Gemini presents a more multimodal and complex view, befitting its ability to process different types of data.
The design and features of each tool are designed to meet their specific purpose and context of Here's an overview of what both platforms look Table 3.
Appearance of ChatGPT vs Google Gemini ChatGPT Google Gemini Simple and minimalist, with a focus on text Multimodal and complex, designed to input and output areas.
process and display text, images, audio, and Users type their questions or instructions in Users can enter text or upload files, with the box at the bottom of the screen.
options to set multimodal parameters.
Displays results above the input box, often as Displays results in various formats .
ext, speech bubbles or plain text.
images, vide.
depending on input.
Chat history displayed for previous Multimodal Journal IJCIS homepage - https://ijcis.
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php/ijcis/index App Version Platform Integration additional options to delete history or access settings.
Available on desktop and mobile with a consistent design tailored to each device.
Focused on text-based interactions, mainly accessed via OpenAIAos platform.
IV.
DISCUSSION
The emergence of Large Language Models (LLM.
like ChatGPT and Gemini has introduced new challenges for academia (Pudasaini et al.
, 2.
These models enable students to easily complete assignments and exams, while educators face difficulties in identifying AI-generated content.
This has led to a rise in academic dishonesty, with students presenting work created by LLMs as their own, bypassing the learning process.
As AI tools evolve and produce increasingly human-like text, detecting such content becomes more difficult.
This shift has notably affected the academic field, leaving many educators struggling to adjust their assessment methods to address these issues.
Gemini AI is an artificial intelligence system developed by Google DeepMind, combining the capabilities of generative language models such as ChatGPT with advanced problem-solving capabilities, including data processing, analysis, and integration of AI-based tools.
This project is designed to create more sophisticated and flexible AI models to assist humans in a variety of complex tasks.
Some of Gemini's key features include multimodality capabilities to understand and process multiple types of input such as text and images simultaneously, as well as a focus on practical problem solving such as data analysis, coding, or content creation.
Additionally.
Gemini can integrate AI with existing tools or systems to improve work efficiency and understand context in depth, enabling more natural and relevant interactions.
As a further development of technologies such as Bard AI.
Gemini aims to provide a richer and more rewarding experience for users.
Google AI developed Gemini, a large language model previously known as Bard.
Gemini, integrated into various Google Workspace products like Docs.
Sheets, and Gmail, is designed to help users with a range of tasks, including generating both text and visual data.
It features enterprise-level security and privacy measures to protect user data.
Trained on a vast dataset of code and text.
Gemini can produce text and respond to queries in a manner that mimics human behavior (Shukla et al.
, 2.
The incorporation of Generative AI (GenAI) in education offers great potential to transform learning experiences and empower both students and Journal IJCIS homepage - https://ijcis.
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php/ijcis/index customization options for different data Integrated within the Google ecosystem, with platform-specific functionality.
Integrates with other Google products and services, reflecting Google's ecosystem However, realizing this potential demands collaborative efforts and thoughtful decision-making to guarantee the responsible and effective application of AI technologies (Perera, 2023.
The integration of Generative AI (GenAI) in education holds great promise for transforming learning experiences and empowering both students and educators (Perera.
To fully realize this potential, it is essential to take collective action and make responsible decisions to ensure that AI technologies are used effectively and ethically (Fitria, 2.
As chatbots like ChatGPT and Google Gemini become more prevalent in educational settings, there is a rising interest in examining how students perceive and utilize Gemini as a distinctive and effective tool in their learning activities (Hasanein et al.
, 2.
In an educational context.
Google Gemini offers great potential to enhance the learning experience by providing tools that can produce dynamic and interactive learning materials.
Baytak .
explores the use of ChatGPT and Google Gemini in creating 7th-grade lesson plans for subjects like mathematics, science, literature, and social The results show that both chatbots produced lesson plans resembling human-written educational content, including sentence structures, activities, and While the lesson plans positioned teachers as facilitators and provided partially constructive activities, the technology-integrated activities were limited.
The study highlights the potential of chatbots for teachers and emphasizes the need for careful consideration when integrating these tools into education.
Gemini shines out because of having the ability to give precise, accurate, and up-to-the-minute answers to our queries or questions.
Unlike the other generative AI tools, which depend on the data they contain.
Gemini employs Google Search to discover the newest and the most up-to-date information in real This makes sure that the responses you get are built on the latest knowledge, making it a very beneficial tool for staying updated.
Moreover.
Gemini focuses on factual correctness by rating the information it gets according to the quality.
In a world where staying with the correct information becomes the biggest challenge.
Gemini can be very useful to Page 87 International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index overcome this challenge as it provides accurate, precise, latest, trustworthy, and relevant information.
Beyond that.
Gemini has a wonderful ability to comprehend context and logical thinking.
It does not merely drop data at anyone, it understands the subtleties of the problem that you have asked and uses its reasoning skill to deliver comprehensive and accurate answers in response.
Gemini is easy to access as it has a user-friendly interface, permitting individuals who have different technical abilities to effortlessly ask inquiries and receive properly organized outcomes.
Furthermore.
Gemini employs various kinds of machine learning algorithms that will help the model to continue to develop, learn, improve, and expand so that it can process more data and engage with more users, its ability to comprehend sophisticated queries, and provide correct and accurate responses continues to get better.
According to Imran & Almusharraf .
Google Gemini offers significant value to educational technologies, but its algorithms must undergo thorough testing and oversight to prevent biases that could disadvantage certain learner groups and create fairness issues.
As with other AI tools.
Gemini must ensure data privacy and security by protecting user information and adhering to ethical data collection practices, which are critical for responsible AI use in Gemini stands as a transformative force in the educational technology landscape, with its multimodal abilities, reasoning, and content generation capabilities providing new possibilities for personalized learning, engaging instruction, and dynamic assessment.
Nevertheless, addressing ethical concerns, ensuring responsible development, and maintaining transparency are crucial for realizing the full potential of this generative AI technology.
focusing on human-centered design, mitigating biases, and upholding ethical standards.
Google Gemini has the potential to revolutionize personalized learning experiences for all.
This report on emerging technology explores Google Gemini as a multimodal generative AI tool, highlighting its groundbreaking potential for the future of educational technology (Imran & Almusharraf, 2.
It details Gemini's capabilities, including its ability to handle and generate content from various data types such as text, images, audio, and video.
To use Google Gemini effectively, start by accessing the official website or platform offering Google Gemini.
We may need to create a Google account or register to gain access.
Once logged in, choose from the various features or modes available based on your needs, such as text generation, image creation, or data analysis.
Input the relevant data into the system.
for text, provide a description or topic, and Journal IJCIS homepage - https://ijcis.
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php/ijcis/index for images, upload a description or reference image.
Customize the settings according to our preferences, such as selecting the style of writing or detail level.
Initiate the generative process, during which Google Gemini will process the input and generate content according to your specifications.
After receiving the generated content, review it to ensure it meets your quality and relevance standards, making any necessary Once satisfied, save or export the content in the desired format.
Lastly, evaluate your experience with Gemini and provide feedback to help improve the tool for future use.
For specific instructions or features, consult the official user guide or documentation Google Gemini offers several advantages, including its ability to process and generate various types of data, such as text, images, audio, and video, making it a very flexible tool for a variety of With these multimodal capabilities.
Gemini can produce creative and diverse content, support innovation in the creation of multimedia materials, and improve user experience in the context of education, design, and data analysis.
Additionally.
Gemini can automate the time-consuming content creation process, so users can produce material quickly and efficiently.
Integration with the Google platform also makes it easier for users to join the wider ecosystem.
However, there are several drawbacks to note.
The quality of content produced by Gemini can vary and may not always be consistent, requiring additional monitoring and editing.
Generative AI also sometimes struggles with understanding complex contexts or generating content that fully meets specific needs without clear input.
Additionally, using Gemini for sensitive data requires special attention to privacy and security to prevent the risk of data leakage.
Gemini may also encounter problems processing and understanding visual content or vignette styles, and access to full features may require a fee or subscription, with limitations in some regions or for certain types of users.
Determining which is better between ChatGPT and Google Gemini depends on your specific needs and the context of use.
If your primary need is text generation, such as creating articles, answering questions, or engaging in text-based conversations.
ChatGPT may be a better fit.
It is specifically designed to produce natural and relevant However, if you require a tool that can handle multiple types of data, including text, images, audio, and video.
Google Gemini offers an edge with its multimodal capabilities, making it more versatile for applications that need various data formats.
While ChatGPT mainly focuses on text and does not directly manage other formats.
Google Gemini's ability to Page 88 International Journal of Computer and Information System (IJCIS) Peer Reviewed Ae International Journal Vol : Vol.
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php/ijcis/index process and generate content across various data types is ideal for multimedia tasks.
ChatGPT integrates well with various platforms via APIs provided by OpenAI, offering ease of use for text-based applications, while Google Gemini is more suitable for integration within the Google ecosystem, providing broader integration potential with Google tools.
In terms of quality and accuracy.
ChatGPT is known for generating natural text, but if you need analysis or content generation outside of text, this could be a limitation.
Google Gemini is expected to offer good quality across different formats, but its effectiveness in specific contexts requires evaluation based on its multimodal Lastly.
ChatGPT is widely available through OpenAIAos platforms, with API access for various applications, while Google Gemini is more closely integrated with Google products and services, making it ideal for those already within the Google In general.
ChatGPT excels in text-focused applications, while Google Gemini offers advantages for tasks requiring multimodal data processing.
The best choice ultimately depends on your specific needs and the context in which we plan to use each tool.
CONCLUSION
Both AI models.
ChatGPT and Google Gemini, offer valuable insights into the transformation brought by AI in English language learning.
Both highlight the benefits of personalization, interactivity, and efficiency offered by AI technology, although with slightly different emphasis and detail.
The information provided by both models shows that AI has great potential to improve the learning experience, reduce teacher workload, and make English language learning more accessible to more people.
However, it is important to still verify information and consider how these technologies can be effectively integrated into educational contexts.
Choosing between ChatGPT and Google Gemini depends on your specific needs.
If you require text generation, such as creating articles or engaging in text-based conversations.
ChatGPT is a better fit due to its focus on producing natural, relevant text.
However, if you need to handle multiple types of data like text, images, audio, and video.
Google Gemini's multimodal capabilities make it more versatile for multimedia tasks.
While ChatGPT is ideal for textbased applications and integrates easily through APIs.
Google Gemini is more suited for users within the Google ecosystem.
ChatGPT is known for generating high-quality text, while Gemini provides good quality across various formats, but its effectiveness varies with context.
Ultimately, the best choice depends on whether your focus is on text or multimedia tasks.
From the two examples of answers provided by ChatGPT and Google Gemini, we can draw several conclusions regarding their approach to English language education.
Both models utilize machine learning techniques to generate relevant text, but their IV.
REFERENCES