The Practical Learning Analytics course is designed with a specific goal in mind: to engage participants in concrete discussions and applications of learning analytics. The course emphasizes practicality by focusing on the use of traditional student record data, which is readily available on every campus. It aims to address questions and concerns raised by various stakeholders, including campus leaders, faculty, staff, and most importantly, students. To ensure the course has analytical depth, each analysis discussed will be supported by realistic data examples and accompanied by sample code.
Course Objectives: Throughout the course, participants will achieve the following objectives:
- Pondering Learning Analytics: Engage in collective discussions and reflections on the topic of learning analytics, exploring its significance and potential implications in practical contexts.
- Utilizing Traditional Student Record Data: Learn how to effectively utilize the student record data commonly available on campuses to gain insights and make informed decisions related to learning analytics.
- Addressing Stakeholder Questions: Understand and address the questions and concerns raised by different stakeholders, including campus leaders, faculty, staff, and students, regarding the implementation and impact of learning analytics.
- Practical Examples and Sample Code: Gain hands-on experience by working with realistic data examples and sample code, allowing participants to develop their analytic skills and apply them in real-world scenarios.
By the end of the course, participants will have developed a practical understanding of learning analytics, specifically through the use of traditional student record data. They will be equipped with the knowledge and skills to address the questions and perspectives of various stakeholders and effectively analyze data to generate meaningful insights. The inclusion of realistic data examples and sample code will enhance participants’ ability to apply their learning in practical situations.