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
이 과정에 대해
100% 온라인
어디서든 학습
공유 가능한 인증서
LinkedIn 프로필에 추가
완료까지 2개월
주 2-3시간
언제든 시작
대기 기간 없음
과정 세부사항
• 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.
경력 경로
입학 요건
- 주제에 대한 기본 이해
- 영어 언어 능숙도
- 컴퓨터 및 인터넷 접근
- 기본 컴퓨터 기술
- 과정 완료에 대한 헌신
사전 공식 자격이 필요하지 않습니다. 접근성을 위해 설계된 과정.
과정 상태
이 과정은 경력 개발을 위한 실용적인 지식과 기술을 제공합니다. 그것은:
- 인정받은 기관에 의해 인증되지 않음
- 권한이 있는 기관에 의해 규제되지 않음
- 공식 자격에 보완적
과정을 성공적으로 완료하면 수료 인증서를 받게 됩니다.
왜 사람들이 경력을 위해 우리를 선택하는가
리뷰 로딩 중...
자주 묻는 질문
과정 정보 받기
경력 인증서 획득
