Executive Certificate in Data-driven Assessment in Education
-- ViewingNowThe Executive Certificate in Data-driven Assessment in Education is a comprehensive course designed to equip education professionals with essential data analysis skills. In today's data-driven world, understanding and interpreting data is crucial for making informed decisions in education.
7,523+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
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
• Data Analysis for Education Decision Making: Understanding the fundamentals of data analysis and how it can be used to make informed decisions in an educational setting. Topics may include data collection, data cleaning, and data visualization.
• Assessment and Evaluation in Education: Examining the role of assessment and evaluation in education and how data can be used to measure student learning and progress. Topics may include formative and summative assessment, standardized testing, and assessment bias.
• Data-driven Instruction: Learning how to use data to inform instructional practices and improve student outcomes. Topics may include data-driven lesson planning, differentiated instruction, and data-based interventions.
• Ethical and Legal Considerations in Educational Data Use: Exploring the ethical and legal issues surrounding the use of data in education. Topics may include data privacy, data security, and the use of data in decision making.
• Statistics for Educational Research: Gaining an understanding of statistical concepts and techniques commonly used in educational research. Topics may include descriptive and inferential statistics, hypothesis testing, and statistical software.
• Educational Data Visualization: Learning how to effectively communicate data findings through visualizations. Topics may include chart types, data storytelling, and data visualization tools.
• Predictive Analytics in Education: Understanding how predictive analytics can be used in education to identify at-risk students, personalize learning, and improve outcomes. Topics may include machine learning, data mining, and predictive modeling.
• Data Management for Education Leaders: Developing the skills needed to effectively manage and analyze large datasets in an educational setting. Topics may include database design, data warehousing, and data governance.
キャリアパス
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
コース情報を取得
キャリア証明書を取得
