# data[].attributes.body
Use of data to provide effective feedback for learning

# data[].attributes.headline
Building connection between the  data and learning behaviors 

# data[].attributes.subject
Building connection between the  data and learning behaviors 

# data[].attributes.body
what I gain from the class is how to explain the data detected from different sensors link to our explanation of the learn process.

# data[].attributes.headline
How the learning construct is able to link behavioral markers to analytics, analytics to traces, which will be able to tie the data together with educational theory within your LA design (specifically for a theory driven LA), as well as how to omit data that is not useful - marcus pang

# data[].attributes.subject
How the learning construct is able to link behavioral markers to analytics, analytics to traces, which will be able to tie the data together with educational theory within your LA design (specifically for a theory driven LA), as well as how to omit data that is not useful - marcus pang

# data[].attributes.body
Learning Analytics opened my options to gather feedback that might not be observable and those that are not that direct. In addition, LA opened my eyes to how we can use the data that we collect in schools (perception surveys etc.) and how these data can be analysed by ML algorithms. This is the module that got me interested in Machine Learning. :) Thank you for your time and patience!

# data[].attributes.body
Intentionality in using data - what is necessary, what data to collect, how to protect the data.

# data[].attributes.body
It is a very interesting field especially if able to be translated well into the classroom. However, the general sense seems to be that there are still alot more limitations at the moment, and applications of LA is pretty much focused on higher education or research settings rather than Gen Ed

# data[].attributes.body
learning analysis can help us comprehensively explore the correlation between student performance and learning data they generated, especially the machine learning can build a prediction to support student who at-risk and struggling with learning.

# data[].attributes.body
Data can tell stories. The course makes me know more about the application of data and how I can use data to deeply analyse the studying scenarios.

# data[].attributes.body
Learning analytics involves analysing large amount of data. This used to be not possible, but now it has become possible, even with consumer grade devices. Analysis can even be done with a free app on our computers and AI can help us if we are are faced with difficulties with analysing.

It has become possible to use LA for our benefits. However, if used incorrectly, it can also be a cause harm. I think it is definitely more beneficial to use LA and we need to learn how to manage the disadvantages.

# data[].attributes.body
The era of one-to-one educational research is expired. With emerging technology, educators must upgrade our platforms for student performance tracking and harness the latest discoveries to reflect upon our work.

# data[].attributes.body
Enjoy learning about MMLA, MMLA process and how to design the learning construct. The construct mapping allows us to think deeper into the problem and identify signals that wasn't obvious at the first glance.

# data[].attributes.body
It's great to see an interest in data-driven decision-making in learning and how this field is growing. I think a lot of learnings / best practices can be transferred from other fields to further improve it, such as UX design or service designs to build systems that really create value for users.

# data[].attributes.headline
Connecting Theory, Design & Data Science

# data[].attributes.subject
Connecting Theory, Design & Data Science

# data[].attributes.body
This is the first elective I took in this master's program that allowed me to leverage my existing skills and combine it with the SoL and brain stuff I've been learning for the last 4 modules. It interested me in research, writing a thesis, and applying it for entrepreneurial purposes.

# data[].attributes.body
Learning about how learning analytics can be a form of knowledge to improve teaching pedagogical practice and the workings of SOL makes us more aware that we can do much more to improve students' learning engagement and learning experience. TQ! 🫡

# data[].attributes.headline
Construct mapping can be an important indicator of the LA research rigor.

# data[].attributes.subject
Construct mapping can be an important indicator of the LA research rigor.

# data[].attributes.body
I have always struggled with construct mapping in my research when using LA. Sometimes, what can be measured is not semantically meaningful in the theoretical foundations of my study. Construct mapping is important, though difficult. Without proper construct mapping, challenges arise in further LA sense-making and action taking.