Global Certificate in Educational Technology Data Evaluation

Name: Global Certificate in Educational Technology Data Evaluation
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The Global Certificate in Educational Technology Data Evaluation is a comprehensive course designed to equip learners with essential skills in educational data analysis. This certification program emphasizes the importance of data-driven decision-making in education, focusing on the analysis, interpretation, and application of data to improve learning outcomes.

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AboutThisCourse

With the increasing demand for data-driven educational technology tools and solutions, this course provides learners with a competitive edge in the job market. It equips learners with the skills to evaluate and apply educational technology data effectively, making them attractive candidates for various roles in the education sector, including instructional designers, educational technologists, and data analysts. The course covers critical topics such as data collection, analysis, visualization, and interpretation, providing learners with a solid foundation in educational data evaluation. By completing this course, learners will not only enhance their analytical skills but also demonstrate their commitment to staying up-to-date with the latest trends and best practices in educational technology.

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CourseDetails

• Data Analysis Fundamentals: Understanding key concepts and terminology, data types, data collection methods, and data preprocessing.
• Data Visualization: Creating effective visual representations of data to facilitate understanding, interpretation, and communication of results.
• Statistical Analysis: Applying statistical methods to evaluate and interpret educational technology data, including descriptive and inferential statistics.
• Data-Driven Decision Making: Utilizing data to inform decision-making in educational technology, including identifying trends, making predictions, and assessing impact.
• Data Privacy and Security: Ensuring the protection and confidentiality of educational technology data, including legal and ethical considerations.
• Data Management: Organizing, storing, and retrieving educational technology data in a secure and efficient manner.
• Data Integration and Interoperability: Integrating and sharing data across different educational technology systems and platforms, ensuring compatibility and standardization.
• Data Quality Assurance: Ensuring the accuracy, completeness, and reliability of educational technology data, including data cleaning and validation.
• Data Analytics Tools and Techniques: Utilizing various data analytics tools and techniques to analyze and interpret educational technology data, including machine learning and predictive analytics.
• Evaluation Frameworks and Models: Applying evaluation frameworks and models to assess the effectiveness and impact of educational technology interventions and initiatives.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN EDUCATIONAL TECHNOLOGY DATA EVALUATION

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London College of Foreign Trade (LCFT)

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05 May 2025

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