In the rapidly evolving landscape of education and professional development, the demand for tailored, high-quality Elearning courses has surged. Educational institutions, businesses, and individual educators are striving to create engaging and effective online courses that cater to specific audiences. However, the process of designing a comprehensive Elearning course — from defining learning objectives to structuring content and assessments — can be time-consuming, resource-intensive, and requires a high level of expertise.
Problem
Many educators and course creators face several challenges in developing Elearning courses:
Time-Consuming Process: Crafting a detailed course outline, including modules, lessons, and assessments, requires significant time and effort.
Expertise Requirement: Creating an effective Elearning course demands expertise in instructional design, subject matter, and understanding of the target audience.
Resource Constraints: Smaller institutions or individual educators often lack the resources to hire professional instructional designers.
Consistency and Quality: Ensuring consistent quality and pedagogical soundness across all modules of a course can be challenging, especially for those new to Elearning design.
Objective
To address these challenges, we aim to develop an automated solution that leverages artificial intelligence to streamline the Elearning course creation process. The solution should:
Simplify Course Creation: Allow users to quickly generate comprehensive course outlines by specifying the topic and target audience.
Maintain High Quality: Ensure that the generated courses are pedagogically sound and tailored to meet the needs of the specified audience.
Reduce Time and Effort: Significantly cut down the time and effort required to create a detailed course structure.
Accessibility: Make Elearning course creation accessible to educators and institutions with limited resources.
Proposed Solution
We propose the development of an Elearning Course Creator application that uses Streamlit for the user interface and Lyzr Automata, powered by OpenAI’s GPT-4, for the backend AI processing. This application will:
User Input: Collect user inputs for the course topic and target audience.
AI-Driven Content Generation: Utilize GPT-4 to generate course titles, learning objectives, module structures, lessons, assessment strategies, and anticipated impact based on the provided inputs.
Interactive and User-Friendly: Provide a simple, interactive interface for users to input their requirements and receive comprehensive course plans.
Secure API Access: Ensure secure handling of API keys and data throughout the process.
By implementing this solution, we aim to empower educators and course creators to produce high-quality Elearning content efficiently, thereby enhancing the overall educational experience for learners.
Setting Up the Environment
Imports:
Imports necessary libraries: streamlit, libraries from lyzr_automata
pip install lyzr_automata streamlit
import streamlit as st
from lyzr_automata.ai_models.openai import OpenAIModel
from lyzr_automata import Agent,Task
from lyzr_automata.pipelines.linear_sync_pipeline import LinearSyncPipeline
from PIL import Image
Sidebar Configuration
We create a sidebar for user inputs, including an API key input for accessing the OpenAI GPT-4 model. This ensures that the API key remains secure.
api = st.sidebar.text_input("Enter our OPENAI API KEY Here", type="password")
if api:
openai_model = OpenAIModel(
api_key=api,
parameters={
"model": "gpt-4-turbo-preview",
"temperature": 0.2,
"max_tokens": 1500,
},
)
else:
st.sidebar.error("Please Enter Your OPENAI API KEY")
Course Creation Function
The course_creator function is responsible for generating the course. It defines the task and pipeline for the course creation process using Lyzr Automata.
def course_creator(topics, audiences):
course_agent = Agent(
prompt_persona="You Are Expert Elearning Course Creator",
role="Course creator",
)
course_task = Task(
name="Course Creation Task",
output_type=OutputType.TEXT,
input_type=InputType.TEXT,
model=openai_model,
agent=course_agent,
log_output=True,
instructions=f"""You are an Expert Elearning Course creator.Your task is to create course based on used given input topic and specific Audience.
Input Requirements:
Specific Topic: User Enters topic for which they want to create course
Specific Audience: user specifies for which audience they are making this course
Output Requirements:
Course Title: Course title is SEO friendly and Eye Catchy for specific audience
Learning Objectives: Specify Learning objectives from generated course.Make objectives point wise and give bullet points for sub sections.
Course Structure: Specify Course Structure With Module and in each module specify lessons
Assessment Strategies: Specify Assessment strategies
Anticipated Impact: Specify Anticipated Impact by doing this course
Below is User Input:
Topic : {topics}
Audience: {audiences}
""",
)
output = LinearSyncPipeline(
name="Generate Course",
completion_message="Course Generated!",
tasks=[course_task],
).run()
return output[0]['task_output']
User Input and Course Generation
We use Streamlit’s input methods to capture the course topic and audience from the user. When the “Generate” button is clicked, the app calls the course_creator function and displays the generated course.
topic = st.text_input("Specify Topic", placeholder="Digital Marketing Fundamentals")
audience = st.text_input("Specify Audience", placeholder="Small business owners and entrepreneurs")
if api and st.button("Generate"):
solution = course_creator(topic, audience)
st.markdown(solution)
try it now: https://lyzr-course-creator.streamlit.app/
For more information explore the website: Lyzr
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