Masterclass Certificate in Using Learning Analytics to Enhance Student Success (Advanced)
-- ViewingNowThe Masterclass Certificate in Using Learning Analytics to Enhance Student Success is a 20-unit advanced certificate programme that equips learners with the skills to harness the power of learning analytics in higher education. As the use of learning analytics in education continues to rise, there is a growing demand for professionals who can collect, analyze, and interpret data to improve student outcomes.
4,304+
Students enrolled
MoneyBackGuarantee
RiskFreeEnrollment
SecureCheckout
EncryptedPayment
LifetimeAccess
LearnAtYourPace
このコースについて
100%オンライン
どこからでも学習
共有可能な証明書
LinkedInプロフィールに追加
完了まで2ヶ月
週2-3時間
いつでも開始
待機期間なし
コース詳細
- Introduction to Learning Analytics
- Foundations of Education Research
- Setting Up a Learning Analytics Ecosystem
- Data Management and Governance
- Learning Analytics Tools and Software
- Using Data Visualization for Insights
- Correlation and Causality in Learning Analytics
- Student Success Metrics and Indicators
- Using Predictive Modeling for Student Retention
- Learning Analytics for Faculty Development
- Using Data for Program Evaluation and Improvement
- Learning Analytics in Higher Education
- Using Analytics for Student Engagement and Persistence
- Ethical Considerations in Learning Analytics
- Learning Analytics and Institutional Research
- Using Learning Analytics for Diversity, Equity, and Inclusion
- Employing Learning Analytics for Student Career Readiness
- Best Practices for Learning Analytics Implementation
- Advanced Topics in Learning Analytics
- Capstone Project in Learning Analytics
- Disseminating Learning Analytics Research and Findings
- Preparing for Certification in Learning Analytics
キャリアパス
According to our analysis, the following roles are most likely to benefit from the Masterclass Certificate in Using Learning Analytics to Enhance Student Success: Learning Analytics Specialist (30%): Responsible for analyzing and interpreting data to inform educational decisions.
Instructional Designer (25%): Creates educational materials and courses that incorporate learning analytics principles.
Academic Researcher (18%): Applies learning analytics methods to investigate and improve educational outcomes.
Data Analyst (27%): Analyzes and reports on data to support evidence-based decision making in education.
入学要件
- 主題の基本的な理解
- 英語の習熟度
- コンピューターとインターネットアクセス
- 基本的なコンピュータースキル
- コース完了への献身
事前の正式な資格は不要。アクセシビリティのために設計されたコース。
コース状況
このコースは、キャリア開発のための実用的な知識とスキルを提供します。それは：
- 認可された機関によって認定されていない
- 認可された機関によって規制されていない
- 正式な資格の補完
コースを正常に完了すると、修了証明書を受け取ります。
なぜ人々がキャリアのために私たちを選ぶのか
レビューを読み込み中...
よくある質問
習得するスキル
コース情報を取得
キャリア証明書を取得
