你将学到什么
The field of learning analytics and explore how data and information are used
Common learning analytics methods and approaches, such as data wrangling and cleaning, structure discovery, and basic prediction modeling
How to conduct basic data wrangling and analyses
Ethics and privacy considerations
Working in a collaborative, cross-disciplinary setting
Common toolsets used in the UTArlingtonX Learning Analytics courses (R in RStudio and Jupyter Notebooks)
课程概况
The demand for data science and learning science skills has continued to increase as classrooms, labs, and organizations look to optimize their data and improve learning environments for students and employees. The UTArlingtonX Learning Analytics courses will give you the opportunity to gain invaluable knowledge and expertise in this growing field.
In this introductory course, you will develop a solid understanding of fundamental learning analytics theories and processes, and explore different types of educational data. You will gain experience working with educational data sets and the R programming language, and hear from a diverse set of voices in the field. Finally, you will also consider ethics and privacy issues, as well explore how to work as part of a team in a domain that is becoming increasingly cross-disciplinary.
By grasping these fundamental areas, you will have a better understanding of the field of learning analytics and be able to apply skills to any occupation that utilizes educational data.
课程大纲
Week 1: What are learning analytics?
Week 2: What types of data will you work with?
Week 3: What types of things will you do?
Week 4: How do you work as part of a team or within an organization?
预备知识
This course is intended for those who have a bachelor’s degree and are interested in developing learning and data science skills for employment in education, corporate, nonprofit, and military sectors. Experience with programming and statistics will be beneficial to participants.
