Data-Driven Decision Making and Continuous Improvement

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Methods and techniques of using data to drive decision-making and continuous improvement in education.

Data Governance: This involves managing the data, including its quality, security, and privacy, and ensuring that the data is accurate and up-to-date.
Data Architecture: This involves designing and developing data models, creating data pipelines, and building data warehouses to store and manage large datasets.
Data Analytics: This involves using statistical and computational methods to analyze data, identify patterns and trends, and make predictions.
Performance Metrics: This involves defining and measuring key performance indicators (KPIs) to track progress and identify areas for improvement.
Data Visualization: This involves creating visual representations of the data, such as graphs, charts, and dashboards, to make it easier to understand and analyze.
Machine Learning and Artificial Intelligence: These involve using algorithms and models to learn from data and make predictions and decisions.
Predictive Analytics: This involves using historical data and statistical models to predict future outcomes and trends.
Quality Assurance: This involves ensuring that data is accurate, reliable, and relevant to decision-making.
Business Intelligence: This involves using data to inform business decisions and drive growth and innovation.
Evaluation and Assessment: This involves using data to evaluate the effectiveness of programs and interventions and make evidence-based decisions.
Data Management: This involves collecting, organizing, storing, and maintaining data in a secure and reliable way.
Data Ethics and Privacy: This involves ensuring that data is used ethically and protecting individual privacy rights.
Data Literacy and Education: This involves developing skills and knowledge to understand and work with data effectively.
Continuous Improvement: This involves using data to identify areas for improvement and taking action to make ongoing improvements in processes, products, and services.
Business Process Improvement: This involves analyzing business processes and using data to identify opportunities for improvement in efficiency, quality, and customer satisfaction.
Risk Management: This involves using data to identify and mitigate potential risks and threats.
Supply Chain Analytics: This involves using data to optimize supply chain operations and improve efficiency and cost-effectiveness.
Marketing Analytics: This involves using data to measure the effectiveness of marketing strategies and improve customer engagement and retention.
Human Resources Analytics: This involves using data to measure employee performance, identify areas for improvement, and make data-driven decisions about hiring, promotions, and training.
Customer Analytics: This involves using data to understand customer behavior and preferences and improve customer satisfaction and loyalty.
Formative Assessment: It is an ongoing process of collecting evidence throughout the learning process to inform and adjust instruction.
Summative Assessment: It is a process of assessing the learning at the end of a unit, semester, or course.
Diagnostic Assessment: It aims to identify students' strengths, weaknesses, and knowledge gaps before instruction.
Benchmark Assessment: Students are assessed against a predetermined standard to measure their proficiency.
Program Evaluation: It aims to determine whether a particular educational program is meeting its intended goals and objectives.
Needs Assessment: It aims to identify gaps in knowledge, skills, or attitudes of students and determine their educational needs.
Quasi-experimental Design: A research design that compares the outcome of an intervention or treatment with a control group that does not receive the intervention.
Action Research: A research method used by educators or practitioners to identify, investigate, and solve problems and to improve their practice.
Developmental Assessment: A process of monitoring the progress of students over time to determine their growth and development in a particular area.
Observational Assessment: A process of systematically observing and recording students' behaviors in a particular setting. It helps to assess students' social, emotional, and cognitive development.
- "Educational technology is the combined use of computer hardware, software, and educational theory and practice to facilitate learning."
- "When referred to with its abbreviation, 'EdTech,' it often refers to the industry of companies that create educational technology."
- "EdTech is defined as all the privately owned companies currently involved in the financing, production, and distribution of commercial hardware, software, cultural goods, services and platforms for the educational market with the goal of turning a profit."
- "Many of these companies are US-based and rapidly expanding into educational markets across North America, and increasingly growing all over the world."
- "Educational technology is based on theoretical knowledge from various disciplines such as communication, education, psychology, sociology, artificial intelligence, and computer science."
- "It encompasses several domains including learning theory, computer-based training, online learning, and m-learning where mobile technologies are used."
- "Educational technology uses computer hardware, software, and educational theory and practice to facilitate learning."
- "The goal of the edtech industry is to turn a profit."
- "In EdTech Inc.: Selling, Automating, and Globalizing Higher Education in the Digital Age, Tanner Mirrlees and Shahid Alvi (2019) argue..."
- "EdTech is no exception to industry ownership and market rules."
- "Educational technology is based on theoretical knowledge from various disciplines such as communication, education, psychology, sociology, artificial intelligence, and computer science."
- "Educational technology involves the combined use of computer hardware, software, and educational theory and practice."
- "Many of these companies are US-based and rapidly expanding into educational markets across North America, and increasingly growing all over the world."
- "EdTech industries produce and distribute commercial hardware, software, cultural goods, services, and platforms for the educational market."
- "Educational technology is based on theoretical knowledge from various disciplines such as communication, education, psychology, sociology, artificial intelligence, and computer science."
- "M-learning is one of the domains covered by educational technology, where mobile technologies are used."
- "Educational technology is based on theoretical knowledge from various disciplines such as communication, education, psychology, sociology, artificial intelligence, and computer science."
- "EdTech is defined as all the privately owned companies currently involved in the financing, production, and distribution of commercial hardware, software, cultural goods, services and platforms for the educational market with the goal of turning a profit."
- "Educational technology encompasses learning theory as one of its domains."
- "In EdTech Inc.: Selling, Automating, and Globalizing Higher Education in the Digital Age, Tanner Mirrlees and Shahid Alvi (2019) argue..."