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Effectiveness of an ICT-based learning resource (Google Colab)

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Effectiveness of an ICT-based learning resource (Google Colab)

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Strength :

1. It offers a convenient way to write and execute.

2. No need of installation of libraries

3. It offers free access to cloud resources.

4. Allows multiple users to work on the same notebook.

Limitations :

1. It provides limited compute resources.

2. After a certain period of inactivity, Google Colab sessions can be automatically disconnected.

3. Storage space is limited.

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Google Colab is very effective tool which makes my work very easy with all the pre-installed libraries in it.

As the Google colab is cloud based platform it makes me to install all the libraries easily and quickly.

And the impressive thing of Google colab is we can use it from any browser or also from any location.

The Only main drawback of this is limited space or memory where we cannot work on large databases.

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Effectiveness of an ICT based learning Resource

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Effectiveness of an ICT based learning Resource

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1. Google Colab made my work easy with the wide range of pre-installed libraries, It saved lot of time and effort.

2. One of the best parts was its integration with google drive, Which made it is easy to store and access my dataset.

3. This can be accessed from anywhere , whenever we require.

Limitations of Google Colab

4. The sessions automatically disconnects after sometime, and the free tries has limits on GPU usage.

5. The available memory and compute power are also not always enough for working with very large datasets.

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I love the fact that it has free access to GPUs and TPUs, seamless data storage and access and also I was able to co edit and comments. Google Colab has it's limitation when it comes to the time limit which I dislike, I hate the fact that I have to always connect to the internet to run.

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Effectiveness of Google Colab as  an ICT-based learning resource

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Effectiveness of Google Colab as  an ICT-based learning resource

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Strengths: collaborative, accessible

,supports coding and real time execution.

Limitations: requires internet advanced features may overwhelm beginners.

Progress: simplified complex coding task, improved understanding through interactive

examples.

Enhancements: add beginners friendly tutorials offline mode, and more visualisation tools to aid conceptual clarity

as a computer science student I used google colab for data analysis and machine learning project. it is a cloud environment and GPU support enabled efficient experimentation and collaboration, improving my productivity and learning experience during course work.

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Impact of Google Colab as an ICT-based Learning Tool 

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Impact of Google Colab as an ICT-based Learning Tool 

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Google Colab was a practical ICT-based learning resource that enhanced my understanding of computer science by providing an interactive platform for coding and experimentation. It allowed real-time collaboration, easy access to powerful libraries, and integration with Google Drive for seamless data storage. Unlike Jupyter Notebook, Colab offered cloud computing resources, eliminating the need for local setup. However, limitations included occasional internet dependency and restricted customization. Overall, Colab facilitated my progress by offering an accessible, flexible environment for coding and learning.

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Effectiveness of an ICT-based learning resource (Google Colab)

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Effectiveness of an ICT-based learning resource (Google Colab)

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Advantage of Google Colab.

1. It gave easy platform to use for data analysis and manipulation.

2. It is cloud based platform. So it removed hassles of installing various python libraries.

3. It has been implemented with devices having low hardware resources with internet connectivity.

4. It is accessed from anywhere, whenever needed.

Limitations of Google Colab

1. I sometimes faced problems of interruption on running code .

2. I wasn't able to edit code when I worked together with other peoples.

3. It's GPU performance was not as good as PyCham.

4. I also found that accuracy of results is less compare to PyCham.

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Effectiveness of an ICT-based learning resource

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Effectiveness of an ICT-based learning resource

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Strength

It provided access to powerful computing resources, including GPUs and TPUs through which training and running complex machine-learning models was quick and effective.

Weakness

Strong internet connection was necessary.

Some time I had screen sharing restriction, while in Collab with my team members, I could not give access to different member to share the screen.

Progress

Since the google Collab had most of the feature free which was very helpful.

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Effectiveness of an ICT-based learning resource 

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Effectiveness of an ICT-based learning resource 

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Strength:

Interactivity and Real-Time Feedback: Google Colab allows learners to interact with code and receive actual feedback. This instant feedback helps students understand the errors quickly and improves their problem-solving skills.

Limitation:

Dependence on Internet Connection: Since Google Colab is cloud-based, it requires a stable internet connection to function it. Any internet disruption can difficult in progress or cause loss of unsaved work.

Google Colab is a good tool for prototyping, learning and small machine learning project. It is specially for students who don't have expansive hardware.

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The Google Colab is the easy way to access the many powerful computing resources like GPUs and TPUs. I have used it to train and run complex machine learning models more quickly, more efficiently and more accurately. It has been a time saving for me always whenever I used it. There are other reasons why I have been interacted with google colab those includes.

It does need any setup.

Its free of cost.

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Effectiveness of an ICT-Based learning resource(Google Colab)

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Effectiveness of an ICT-Based learning resource(Google Colab)

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1. Strength of Google Colab:

-No installation was required.

-Free and scalable resource.

-Free Access to GPUs/TPUs.

-Easy Setup and Access.

2. Limitations of Google Colab:

-Limited Computational Resources.

-Session Timeouts and Disconnects.

In conclusion, based on my experience. I used various tools like visual studio code, Pycharm and Anaconda so compare to them it is quit convenient because we don't have to install any other libraries and easy to access.

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Effectiveness of an ICT-based learning resource

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Effectiveness of an ICT-based learning resource

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Strength of Google Colab:

1. It provided powerful computing resources. No need to install any libraries and packages individually to our local machine.

2. It was cost effective and easily accessible from any browser and from any locations.

Limitations of Google Colab:

1. The resources were limited as we were using free plan.

2. Limited space and time.

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Google colab is a great tool for many users due to its free access to powerful computing resources ,ease of use and cloud-based features .however, it may not be suitable for large-scale, long term or highly customized projects.

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Effectiveness of ICT-based Learning Resource

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Effectiveness of ICT-based Learning Resource

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Google Colab is a powerful ICT-based learning tool that enables collaborative coding and seamless access to Python libraries. Strengths include real-time teamwork and cloud-based convenience, but it relies on stable internet and has limited computational power.

It supports learning through hands-on coding. Enhancements include offline access and expanded processing capacity. Google Colab is cloud-based with accessible GPUs for collaboration, while Jupyter Notebook is local, offering more flexibility and customization.

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Effectiveness of an ICT-based learning resource (Google Colab)

Google colab practically work effectively for general but when it comes to complicate one it doesn't work accurately as it is not More effective than other platforms

while it is free and easy to accesscible but more complications in setting the things

-cloud based

-suitable for education

-no setup required while execution

It involves Limited customization,depend on google services,limited time and it is not detecting accurataly and it is used for developement and research but depends on internet contuinity

it has has more coding for vectorization and bit complicate than other platforms not user friendly.