Global Certificate in Microlearning Analytics and Insights
-- ViewingNowThe Global Certificate in Microlearning Analytics and Insights is a comprehensive course designed to meet the growing industry demand for experts who can leverage data-driven strategies in microlearning. This course focuses on the importance of data analytics in microlearning, a powerful training approach that enhances knowledge retention and boosts performance.
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2 mois pour terminer
ร 2-3 heures par semaine
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Aucune pรฉriode d'attente
Dรฉtails du cours
โข Introduction to Microlearning Analytics: Understanding the basics of microlearning and the importance of data analysis in optimizing learning experiences. โข Data Collection Techniques: Exploring various methods to gather data in microlearning, including xAPI, SCORM, and manual tracking. โข Data Analysis Fundamentals: Learning essential data analysis techniques, including descriptive, diagnostic, predictive, and prescriptive analytics. โข Performance Metrics in Microlearning: Identifying key performance indicators (KPIs) and metrics to measure the effectiveness of microlearning programs, such as completion rates, engagement, and knowledge retention. โข Data Visualization and Reporting: Presenting data in a clear and actionable format, including the use of dashboards, charts, and graphs. โข Learning Analytics Standards and Best Practices: Adhering to industry standards and best practices in microlearning analytics, such as those set by the IEEE Learning Technology Standards Committee. โข Integrating Microlearning Analytics with Learning Management Systems: Seamlessly integrating microlearning analytics with LMS platforms to optimize data collection and analysis. โข Data-Driven Decision Making in Microlearning: Leveraging insights from microlearning analytics to inform learning strategy, improve learner engagement, and enhance learning outcomes. โข Privacy and Security in Microlearning Analytics: Ensuring compliance with privacy regulations and best practices to protect learner data. โข Future Trends in Microlearning Analytics: Exploring emerging trends and technologies in microlearning analytics, including AI and machine learning.
Parcours professionnel
Exigences d'admission
- Comprรฉhension de base de la matiรจre
- Maรฎtrise de la langue anglaise
- Accรจs ร l'ordinateur et ร Internet
- Compรฉtences informatiques de base
- Dรฉvouement pour terminer le cours
Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.
Statut du cours
Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :
- Non accrรฉditรฉ par un organisme reconnu
- Non rรฉglementรฉ par une institution autorisรฉe
- Complรฉmentaire aux qualifications formelles
Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.
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Frais de cours
- 3-4 heures par semaine
- Livraison anticipรฉe du certificat
- Inscription ouverte - commencez quand vous voulez
- 2-3 heures par semaine
- Livraison rรฉguliรจre du certificat
- Inscription ouverte - commencez quand vous voulez
- Accรจs complet au cours
- Certificat numรฉrique
- Supports de cours
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