# data[].attributes.headline
Data analysis skills is truly important as it enables the teachers to effectively dissect data, and create something out of it which will guarantee the continuous progress of educative landscape.

# data[].attributes.subject
Data analysis skills is truly important as it enables the teachers to effectively dissect data, and create something out of it which will guarantee the continuous progress of educative landscape.

# data[].attributes.headline
data litaracy is a n initiative to enhance our teaching in terms of reading, writing and analyzing to empower teaching.

# data[].attributes.subject
data litaracy is a n initiative to enhance our teaching in terms of reading, writing and analyzing to empower teaching.

# data[].attributes.body
We need to protect our data by securing it, keeping it from revealing to anyone and change it for updates

# data[].attributes.body
1. I have learned that data literacy is not just for Math and Science but also in different subjects, it requires a deeper understanding/ critical thinking to come up with an accurate data analysis and avoid analyzing it poorly.

2. It is vital to educators, with data literacy you are able to specify areas where students excelled or struggled the most.

3. It is beneficial to both students and teachers. Educators are able to improve methods/strategies they are going to use as well as in assessing students.

# data[].attributes.headline
Data literacy enables teachers to evaluate learners' data effectively.

# data[].attributes.subject
Data literacy enables teachers to evaluate learners' data effectively.

# data[].attributes.body
• data literacy insures the amount or the contents the learner had learned.

•it helps the teacher to identify if their lesson has an effect to the learners

• data literacy give the quality of the lesson

# data[].attributes.headline
Data literacy is one of the 21st Century skills that every learners needs to acquire and use.

# data[].attributes.subject
Data literacy is one of the 21st Century skills that every learners needs to acquire and use.

# data[].attributes.headline
DATA LITERACY is all about utilizing data for a more effective gathering of sound decision.There are 3 types of assessment: e-learning,in-class quiz and take home assignment.For me,take home assignment is very challenging one because it entails a great deal of authenticity to the end of thw learners.

# data[].attributes.subject
DATA LITERACY is all about utilizing data for a more effective gathering of sound decision.There are 3 types of assessment: e-learning,in-class quiz and take home assignment.For me,take home assignment is very challenging one because it entails a great deal of authenticity to the end of thw learners.

# data[].attributes.body
Give more knowledge

# data[].attributes.body
1. Data literacy assess the strength and weaknes

2. Data analysis is very significant in improving teachers and learners performance.

3. Analyzing data can help craft effective intervention.

# data[].attributes.body
1. Data literacy can help assess the weakness of the learners

2. it can help improve my teaching strategy

3. Analysing the data can help me help the learners.

# data[].attributes.body
Data literacy is must to learn since technology provides us a lot of information. And by being literate in data literacy we can figure it own which information are true and not.

# data[].attributes.headline
Data analysis requires critical thinking to be able to utilize relevant data and optimize it use in developing policies that will drive innovation and sustainability in various fields.

# data[].attributes.subject
Data analysis requires critical thinking to be able to utilize relevant data and optimize it use in developing policies that will drive innovation and sustainability in various fields.

# data[].attributes.body
1. It is important to use data in a meaningful conversation.

2. Data literacy can help improve my teaching skills.

3. It can be helpful in assessing the needs of my learners.

# data[].attributes.body
Data literacy is designed to help users gain an understang of data and learn about different types of data.

# data[].attributes.headline
real data is the most important in data analysis

# data[].attributes.subject
real data is the most important in data analysis

# data[].attributes.body
Data literacy allows us teachers to be very careful of our entries especially that we are dealing with numbers and other data.

# data[].attributes.body
The capacity to locate, assess, and communicate information through typing or digital media platforms is known as digital literacy. In order to develop, assess, and distribute information utilizing information and communication technologies, one must possess a combination of cognitive and technical skills.

# data[].attributes.body
Data literacy is the ability to read, understand, create and communicate data as information. Data Literacy should be embedded in school management to enhance students achievement.. Data literacy focuses on the competencies involved in working with data.

# data[].attributes.body
Data Literacy unlocks significant values by making certain facts valid and reliable.

# data[].attributes.body
Data Analysis provides information through reviewing and analyzing data in meaningful ways.

# data[].attributes.body
My takeaways in data literacy are I learned on how to be curious in using data,gained a lot of knowledge on how to be creativity and on how to think critically in doing it.

# data[].attributes.body
data literacy, is very important for us as a teacher.

# data[].attributes.body
Data literacy is the ability to explore, understand and communicate with data in meaningful way. It can be on different levels.

Data literacy is essential to teachers to monitor and enhance students achievement.

Data literacy is a must to require for teachers to equipped with modern technologies trends.

# data[].attributes.body
1. It enhances teaching with the ability to gather, manage, and analyze data from diagnostic, formative and summative assessments of students' prior and gained knowledge, allows research-based actions and classroom practices and for instructional purposes;

2. The predictive analytics in education are essential background information and data for an informed-decisions with regards to the design and implementation of curriculum; and

3. The ability to combine quantitative and qualitative data provide a wide perspectives of the issues, problems, and concerns of the educative process using the digital technology and tools that capacitate the teachers for the 21st century teaching and learning.

# data[].attributes.body
Data Literacy is the ability to read, understand, create , and communicate data as information . much like literacy as a general concept, data literacy focuses on the competencies involved in working with data.

# data[].attributes.body
Data literacy is a significan tool in improving teaching. This webinar helped me widen mya knowledge about data literacy. I first thought that data literacy can only be applied in making research projects. But definitely, data literacy and analayzing data is a very important skill that a teacher should possess. Data obtained in the result of pupils’ assessments can be used in analyzing data to find out what specific areas or learning areas the pupils struggled or excelled. Data can be analyzed through data visulaization, descriptive statistics and hypotheses testing. Another topic which is very interesting is about analyzing data using Excel Analytics Tool Pack. I learned how it was so easy to get the descriptive statistics analysis just by clicking using Microsoft Excel. As a teacher, O should be open to these technology advancements and changes in education to stay in track and able to provide better education for our learners. Indeed, this webinar is a great help in understaning data analysis and interpreting data to come up with well-informed decisions that can help in education.

# data[].attributes.body
1. Understanding data is really important for us teachers. It helps us get better at working with and understanding the information we collect from our students. By analyzing this data, we can figure out what our students are good at and where they might need some extra help. This helps us make smart decisions about how to help our students learn and grow.

2. Having skills in data analysis can really improve how we teach and how students learn. For example, let's say we're tracking how well students understand a math concept. By analyzing their test scores and homework, we can see which areas they're struggling with the most. Then, we can adjust our teaching methods to focus more on those areas, making sure everyone gets the help they need. This way, we can make the learning experience better for everyone.

3. Without data analysis in the teaching and learning process, it's like teaching blindfolded. You wouldn't have clear insights into how well your students are understanding the material or where they might be struggling. Just like driving blindfolded is dangerous, teaching without analyzing data can lead to ineffective instruction and missed opportunities to support student learning. By analyzing data, teachers can gain valuable insights into student performance, identify areas for improvement, and tailor their teaching strategies to meet the needs of each student effectively.

# data[].attributes.body
In my experience, with data analysis has been crucial in enhancing my ability to understand and cater to the specific needs of my students. By providing educators with meaningful insights derived from data, they are better equipped to adapt my teaching methods and create personalized learning experiences.

# data[].attributes.headline
Data literacy helps us to improve our learning. It also makes it easier to access the learning of our students.

# data[].attributes.subject
Data literacy helps us to improve our learning. It also makes it easier to access the learning of our students.

# data[].attributes.headline
 Data Literacy is an essential tool in understanding and communicating data with the aim to apply in the real world scenario

# data[].attributes.subject
 Data Literacy is an essential tool in understanding and communicating data with the aim to apply in the real world scenario

# data[].attributes.headline
Data literacy is the capacity to inquire, collect, analyze, assess, and communicate about data. Our daily lives involve using data more and more to inform decisions, thus having a firm grasp of data collecting and analysis is essential.

# data[].attributes.subject
Data literacy is the capacity to inquire, collect, analyze, assess, and communicate about data. Our daily lives involve using data more and more to inform decisions, thus having a firm grasp of data collecting and analysis is essential.

# data[].attributes.body
To sum up, in order to manage risks, promote innovation, boost productivity, make better decisions, maintain compliance, and effectively compete in today's data-driven market, companies must possess data literacy.

# data[].attributes.headline
Data Literacy - "Empowering Educators with Data Analysis Skills for the Future."

# data[].attributes.subject
Data Literacy - "Empowering Educators with Data Analysis Skills for the Future."

# data[].attributes.body
As a teacher who attended the webinar "Empowering Educators with Data Analysis Skills for the Future," conducted by INNOTECH in conjunction with UNESCO, the most important lesson was the critical role of data literacy in defining effective teaching methods and educational policy. The seminar stressed the importance of educators knowing how to comprehend and evaluate data so that they may make educated decisions that improve student learning outcomes. Using data to influence instructional practices and build educational policy allows educators to customize their approach to better meet the different needs of their students while driving continual progress. Practical training in data analysis tools and procedures was offered, allowing instructors to gather, organize, and evaluate data on student performance.

# data[].attributes.headline
Data literacy is important to me especially that I am taking charge of English, Science and Math subjects that need to be taken care as to the performance of students so that interventions can be proposed instantly.

# data[].attributes.subject
Data literacy is important to me especially that I am taking charge of English, Science and Math subjects that need to be taken care as to the performance of students so that interventions can be proposed instantly.

# data[].attributes.body
Date Literacy benefits: better decision making; increased learners performance; improves instructions.

# data[].attributes.body
It is important for teachers to interpret and leverage data for instructional improvement.

Teachers should be equipped with skills for data interpretation and handling.

Data Literacy enhances the teaching-learning process.

# data[].attributes.body
1. Data literacy is a must to learn especially for educators because it is not only for math and science teachers.

2. It will help us to drive growth ,innovation and success.

3. We gain skills and knowledge required for work with data effectively, allowing individuals to have valuable insights,make decisions, and have good findings.

# data[].attributes.body
My takeaway from this webinar is that I learned what a data literacy is. It is essential in decision-making, a guide for every decision. By being data literate we can create a quality judgment and research.

# data[].attributes.body
Data literacy is the ability to explore, understand, and communicate with data in a meaningful way. It can be on different levels.

# data[].attributes.body
Data literacy is the ability to explore, understand, and communicate with data in a meaningful way. It can be on different levels.

# data[].attributes.body
1. Data literacy must be at all cost a part of the learning process for both teachers and learners across all types of course or subject. This must not be disregarded since we are educators and facilitators for 21st century learners we must take into consideration that we also must embody the C's of 21st century learning skills and based on the ISTE standards for Teachers as well.

2. Data literacy allows the teachers to check and evaluate the students learning progress and be able to augment and modify teaching and learning process based on the needs of the learners using various data.

3. We need not to be technophobic and must unlearn and relearn new concepts and ideas to be able to build new strategies and approaches.

# data[].attributes.body
Data literacy is the ability to explore, understand, and communicate with data in a meaningful way. It can be on different levels.

# data[].attributes.body
1. Data literacy is crucial in today's world as it empowers individuals to understand, interpret, and effectively use data.

2. It enables informed decision-making, promotes critical thinking, and helps navigate the data-driven landscape of various professions.

3. It is beneficial to students and teachers as it develops critical thinking.

# data[].attributes.body
Data literacy is the ability to explore, understand, and communicate with data in a meaningful way. It can be on different levels.

# data[].attributes.body
1. For teaching-learning: Data-Based Projects, Activities and Programs which teachers can design through intervention and remediation especially in Literacy and Numeracy (LAN).

2. As a Teacher-Researcher: It is easy to analyze and interpret data and also to recommend further study across learning areas.

3. As a Graduate Student: Post graduate school offers in-line courses about Data Analysis and it is timely having this webinar to somehow see the usefulness of Data Analysis to enhance teaching-learning, assessments, performance tasks, and as to curriculum.

# data[].attributes.body
Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data

# data[].attributes.body
Data literacy is the ability to explore, understand, and communicate with data in a meaningful way. It can be on different levels.

# data[].attributes.body
1. As an Educators we must adopt digital tools for innovative teaching.

2. As an Educators We need data analysis skills for evidence-based instruction.

3. Digital literacy and data analysis are crucial for student-centered learning.

# data[].attributes.body
Digital literacy are enhanced the capabilities and endurance to capture the reading, analysis and understand the information and literacy competencies. Digital literacy compresses and attached learning and skill based in ICT integration and application on research based and technological aspects of learner centered curriculum. It patent the basic foundation of 21century skill and teaching approach in ASEAN integration program

# data[].attributes.body
Data literacy is the ability to explore, understand, and communicate with data in a meaningful way. It can be on different levels.

# data[].attributes.headline
“Making decisions without data analysis is like driving a car blindfolded “

# data[].attributes.subject
“Making decisions without data analysis is like driving a car blindfolded “

# data[].attributes.body
Takeaways:

Data analysis approach

Importance of data analysis

Empowers you to make informed decisions

# data[].attributes.body
Every educators should understand the importance of safeguarding data and respecting privacy, complying with ethical standards and regulations.

# data[].attributes.headline
 Using existing models in predictive analytics for education can be a practical solution for teachers who lack the time to conduct their own correlational studies. Hopefully,  guides on validating the model's accuracy and reliability with the available data is crucial before relying on its predictions for decision-making in the classroom will be also a topic for discussion in the future.

# data[].attributes.subject
 Using existing models in predictive analytics for education can be a practical solution for teachers who lack the time to conduct their own correlational studies. Hopefully,  guides on validating the model's accuracy and reliability with the available data is crucial before relying on its predictions for decision-making in the classroom will be also a topic for discussion in the future.

# data[].attributes.body
The ability to ask questions, gather, analyze, evaluate, and communicate about data is known as data literacy. Data is being utilized more and more in our daily lives to make decisions, thus it's critical to have a solid understanding of data collection and analysis.

In conclusion, organizations need data literacy to make better decisions, increase productivity, spur innovation, manage risks, uphold compliance, and effectively compete in the data-driven market of today.

# data[].attributes.body
1) Different types of assessment can be done properly and critically with the use of data analysis skills.

2) There are tools that are useful in gaining necessary skills in data literacy.

3) It's important to develop data literacy skills in order to solidify our understanding of consolidated learning that needs reinforcement.

# data[].attributes.body
Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. It is, however, not similar to the ability to read text since i

# data[].attributes.body
*Give teachers useful insights into their students.

*Helping teachers their educational experience.

*Prepares student for future success.

# data[].attributes.body
Key Takeaways

The applications of techniques learnt in the Data Literacy Program enables a person especially educators to make decisions and optimize processes in classroom management.

# data[].attributes.headline
Data Literacy should be analyzed carefully before published, it needs a lot of analyzation with regards to our norms

# data[].attributes.subject
Data Literacy should be analyzed carefully before published, it needs a lot of analyzation with regards to our norms

# data[].attributes.body
Data literacy can help the educator especially for the teachers to collect data. It can be useful to assess every performance of the students. The webinar helps the on how to improve in terms of gathering data.

# data[].attributes.headline
Data literacy is a must to require for teachers to equipped with modern technologies trends.

# data[].attributes.subject
Data literacy is a must to require for teachers to equipped with modern technologies trends.

# data[].attributes.body
Given the presentation, I was able to recognize the significance of data quality and the impact it has on decision-making. This includes appropriate tools to be used and importace of data privacy and ethical considerations

# data[].attributes.headline
This webinar is pretty much helpful for everyone especially for us , the educator. Through this webinar I gained variety of insight about how impactful data literacy is. Also, I discover some technique that is very useful in today's generation. Moreover, handling different kinds of data is  difficult but through this webinar we can simply categorize it in just two or more clicks . Thank you innotech and UNESCO for this amazing opportunity 💗

# data[].attributes.subject
This webinar is pretty much helpful for everyone especially for us , the educator. Through this webinar I gained variety of insight about how impactful data literacy is. Also, I discover some technique that is very useful in today's generation. Moreover, handling different kinds of data is  difficult but through this webinar we can simply categorize it in just two or more clicks . Thank you innotech and UNESCO for this amazing opportunity 💗

# data[].attributes.headline
My takeaways in this webinar is the teacher must be a computer literate since it is a main thing to get into data literacy skills

# data[].attributes.subject
My takeaways in this webinar is the teacher must be a computer literate since it is a main thing to get into data literacy skills

# data[].attributes.headline
Through the webinar I was motivated to use data analysis in monitoring learners progress and to make my action research.

# data[].attributes.subject
Through the webinar I was motivated to use data analysis in monitoring learners progress and to make my action research.

# data[].attributes.body
Data literacy in a must in every work. We deal with data and we produce data. We need to know how to organize, analyze, and interpret them in order to be of value to us.

There are appropriate tools to analyze data--from simple average to correlational analysis--in order for us to get what these data has to offer.

I would like to affirm what I read and heard during this webinar that making decisions without data literacy is like driving blindfolded.

# data[].attributes.body
1.enhance teaching learning

2.develop the e-awareness among the learners and teachers

3.equip both teachers and learners the knowledge they opted to acquire.

# data[].attributes.headline
Given the presentation, it confirmed my belief that for data analysis to really be useful in making students perform, teachers must have the passion and commitment to make their learners truly learn

# data[].attributes.subject
Given the presentation, it confirmed my belief that for data analysis to really be useful in making students perform, teachers must have the passion and commitment to make their learners truly learn

# data[].attributes.body
Data literacy is essential for decision making in education. It will help policy makers decide on what will be the future of the learners. Data collection should be fool-proof and accurate for it to be a valuable asset in education innovations and curriculum evauation and improvement.

# data[].attributes.body
Data Literacy Program is beneficial and helpful for studies, research and education for both the learners and facilitators as well as administrators

# data[].attributes.headline
My takeaways for this webinar about the Empowering  Educators with  Data Analysis for the future. It was a big help. Specially, that the 21st century must be a computer literate. So that we apply in our daily teaching. And not only for today's purposes but for the future needs. Thank you for the opportunity of being one of the participants. I will try my best to apply my learning for today's webinar. Thank you and God bless!

# data[].attributes.subject
My takeaways for this webinar about the Empowering  Educators with  Data Analysis for the future. It was a big help. Specially, that the 21st century must be a computer literate. So that we apply in our daily teaching. And not only for today's purposes but for the future needs. Thank you for the opportunity of being one of the participants. I will try my best to apply my learning for today's webinar. Thank you and God bless!

# data[].attributes.body
1. Creating data-literate culture yields several advantages.

2. It gives people to make decision.

3. It gives us the data easily.

# data[].attributes.body
Data literacy is very useful to us and we can handle things nicely with this innovation

# data[].attributes.headline
Data analysis helps teachers to make sense of this data, turning it into actionable insights. 

# data[].attributes.subject
Data analysis helps teachers to make sense of this data, turning it into actionable insights. 

# data[].attributes.body
1. Importance of data literacy: Being able to understand, analyze, and interpret data is crucial for making informed decisions and solving complex problems.

2. Data collection and analysis: We learned about various methods of data collection, including surveys, interviews, and experiments. The seminar also covered data analysis techniques such as statistical analysis and data visualization.

3.  Data privacy and ethics: The seminar highlighted the importance of data privacy and the ethical considerations surrounding data collection and usage. We discussed the need for responsible data handling and protecting individuals' privacy rights

# data[].attributes.body
Data literacy must be embedded in school management to enhance students achievement.

# data[].attributes.headline
This webinar have given me research ideas. Thank you so much

# data[].attributes.subject
This webinar have given me research ideas. Thank you so much

# data[].attributes.body
thank you for this opportunity to join a discussion data analytics, it mean so much to me as a teacher and as a researcher

# data[].attributes.body
Data literacy is essential to teachers to monitor and enhance students achievement

# data[].attributes.headline
All of us should become data literate individuals

# data[].attributes.subject
All of us should become data literate individuals

# data[].attributes.headline
Data literacy is the ability to read, work with, analyze and communicate with data. It's a skill that empowers all levels of workers to ask the right questions of data and machines, build knowledge, make decisions, and communicate meaning to others.

# data[].attributes.subject
Data literacy is the ability to read, work with, analyze and communicate with data. It's a skill that empowers all levels of workers to ask the right questions of data and machines, build knowledge, make decisions, and communicate meaning to others.

# data[].attributes.body
The four data literacy elements of data exploration, data management, data use and reflection and improvement are dependent on three support structures: professional learning, infrastructure, and stakeholder engagement.

# data[].attributes.body
Data analysis is very essential for continuous improvement of our practice at home or in the workplace.

# data[].attributes.body
Data literacy is necessary to assess students' learning.

Data literacy is not only about numbers but analysis of numbers.

It is significant in teaching and learning process.

# data[].attributes.headline
Data analysis is the key to unlocking the potential of big data.

# data[].attributes.subject
Data analysis is the key to unlocking the potential of big data.

# data[].attributes.headline
Data Literacy must be practice by all teachers to acquire a data that is true.

# data[].attributes.subject
Data Literacy must be practice by all teachers to acquire a data that is true.

# data[].attributes.body
Second, by using data analysis we can acquire reliable data collection or result of our students progress.

Lastly, data literacy is very useful in todays education to be globally competitive teachers.

# data[].attributes.headline
Data Analysis must be integrated in the school curriculum,with this webinar I gained knowledge about data analysis which is very vital in the teaching learning process

# data[].attributes.subject
Data Analysis must be integrated in the school curriculum,with this webinar I gained knowledge about data analysis which is very vital in the teaching learning process

# data[].attributes.body
I can now apply this methodologies in my teaching process. This helps a lot.

# data[].attributes.body
Simple tool that can be used in classroom and in various subjects.

# data[].attributes.headline
After data analysis should follow the responses to the questions: So What ? and What Now?

# data[].attributes.subject
After data analysis should follow the responses to the questions: So What ? and What Now?

# data[].attributes.body
Much interested in predictive analytics and how the use of such can be useful to making decisions on what to teach, how to teach , and who should teach the students subjected to such

# data[].attributes.headline
Learning about NUS's new program or course on digital analysis is interesting. I hope we can adapt this approach to activities at lower levels or across various subjects, beyond practical research or statistics, even in high school settings.

# data[].attributes.subject
Learning about NUS's new program or course on digital analysis is interesting. I hope we can adapt this approach to activities at lower levels or across various subjects, beyond practical research or statistics, even in high school settings.

# data[].attributes.body
data literacy.

1. knowledge

2. learning environment

3. research based

4. thry can guide your future though program

# data[].attributes.body
1. Data analysis requires lots of critical thinking

2. It does not require complex mathematical skill to work on it.

3. It's true to all, across subjects/ courses and it's important partner of teachers.

Thank you so much for the opportunity!

# data[].attributes.body
There are multiple ways of doing data analysis as a basis for decision making in the teaching and learning process and in research. Some of which have been practiced already. I also learned some of the limitations of in collecting data and how can these be addressed.

# data[].attributes.body
1. Importance of data literacy

2. Critical thinking is the key in analyzing data to become useful information

3. Data literacy can be use in all aspect of life

# data[].attributes.body
1. In making decisions, data analysis is very important as it serves as a guide or direction.

2. To address the needs of the students, data analysis is needed.

3. Data analysis is indispensable in improving teaching and learning.

# data[].attributes.headline
Data is changing in the next few years, thus it is a must to keep up with the basic skills in analyzing and interpreting those. Data Literacy is a helpful tool for a more informed decisions, keen in every details to come up with a valid and reliable information. - Bornea, JP

# data[].attributes.subject
Data is changing in the next few years, thus it is a must to keep up with the basic skills in analyzing and interpreting those. Data Literacy is a helpful tool for a more informed decisions, keen in every details to come up with a valid and reliable information. - Bornea, JP

# data[].attributes.body
It is very helpful to teaching and learning process..