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Learning Analytics Suite

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About Learning Analytics Suite

Learning Analytics Suite is an analytics software from Pearson that provides insights into educational data. It combines data visualization, performance tracking, and predictive analytics so educators can make informed decisions to improve student outcomes. The suite allows institutions to analyze learning patterns and identify strategies for success. By utilizing advanced algorithms, it helps in forecasting student performance and engagement levels. Key capabilities: data visualization performance tracking predictive analytics reporting tools user-friendly interface Best for: educational institutions and administrators that need to assess and improve student learning experiences.

Learning Analytics Suite Details

Vendor
Pearson
Year Launched
Location
London, United Kingdom
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, Portuguese, French, German, Italian, Dutch, Russian, Chinese, Japanese, Korean, Arabic
Users
Instructors, Administrators, Researchers, Educators
Industries Served
Education, Technology, Human Resources, Government, Nonprofit, Professional Services.
Tags
Data Analysis, Learning Analytics, Education, Student Performance, Data Visualization, Predictive Analytics, Educational Technology, Data Monitoring, Student Success.

Learning Analytics Suite's In-App Market Place

Does Learning Analytics Suite have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

11

Mini Apps

1. Power BI - Integration with Microsoft's Power BI for enhanced data visualization and advanced analytics capabilities.

2. Tableau - Allows users to connect to Tableau Server or Tableau Online for in-depth data visualization and reporting.

3. Google Analytics - Integration with Google Analytics for tracking and analyzing website traffic and user behavior.

4. Salesforce - Connect with Salesforce CRM for comprehensive customer data analysis and reporting.

5. Adobe Analytics - Integration with Adobe Analytics for advanced marketing analytics and optimization.

6. IBM Watson - Access IBM Watson's AI capabilities for predictive analytics and data-driven insights.

7. R Programming - Incorporate R scripts for advanced statistical analysis and data manipulation.

8. Python - Leverage Python scripts for data analytics

machine learning

and automation tasks.

9. Hadoop - Connect with Apache Hadoop for processing and analyzing large datasets in a distributed computing environment.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), NZD (NZ$), CHF (Fr.), SGD (S$), HKD (HK$), SEK (kr), NOK (kr), DKK (kr), PLN (zł), CZK (Kč), HUF (Ft), RUB (₽), TRY (₺), INR (₹), CNY (¥), KRW (₩), ZAR (R)

Pros & Cons

  • Generates actionable insights from educational data
  • Helps educators track student progress and performance
  • Provides personalized recommendations for improving learning outcomes
  • Enables data-driven decision making in education
  • Offers predictive analytics to identify at-risk students
  • Streamlines data collection and analysis processes
  • Facilitates targeted interventions for struggling students
  • Limited customization options for data visualizations
  • Lack of integration with other data sources and systems
  • Steep learning curve for new users
  • Expensive pricing for small businesses or individual users
  • Limited support and resources for troubleshooting and user assistance

Learning Analytics Suite's Support Options

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