How Learning Analytics in K-12 and Higher Education Assists Teachers

Over the last decade, technological advancements have altered the nature of teaching and learning.

FREMONT, CA: Historically, data analysis was at best ad hoc, owing to inaccuracy and incompleteness. Now, the volume of data generated by students is enormous, as their interactions with learning management systems or content delivery platforms leave massive digital trails online. The demand for insight has increased exponentially, allowing educational publishers and educators to make educated choices about equipping students with critical skills for success in the digital economy. Two trends that will prevail to make waves in enhanced learning are AI and Big Data. The latest technologies enable the efficient and accurate collection of relevant student data (browsing activities, quiz results, course completion times, logging on and off times, and more). Additionally, it is not just about data but about presented in easily understandable graphs, charts, percentages, and more. This is what will motivate individuals to make informed choices.

Promoting Self-Regulated Learning

Advanced digital learning platforms will leverage analytics to create relevant and personalized learning pathways to provide learners with the best support possible. This trend aligns with the critical aspect of "continued learning and improvement" by delivering actionable insights to drive individual learning experiences. Students will be more motivated to learn in an environment that values and considers their unique learning needs and preferences.

Insights Driven by Data Driving Instructional Techniques

Suppose learners expect a personalized learning environment in which content delivery and structure are customized for them. In that case, educators will adopt an analytical approach to learner engagement, achieving learning objectives, and improving teaching outcomes.

Several ways in which learning analytics can assist teachers in K-12 and higher education are as follows:

Teachers will track which types of content and presentation formats are the most engaging for students. Insights such as the amount of time spent on each chapter or lesson, the number of times a video or audio file have been viewed or played, or the device on which students access tasks the most can create more immersive content.

Delivering customized lessons: It will be possible to monitor each student's learning patterns. As a result, teachers will design lessons tailored to their strengths and weaknesses, thereby enhancing their students' learning process. Teachers will be able to identify academically weaker students and strategize remediation and corrective actions using detailed performance analytics for each student.

Modify instructional methods: A cloud-based content delivery platform makes updating content and incorporating interactive, multimedia, and gaming elements straightforward. If teachers discover a subject that students struggle with, they can adjust their teaching strategies accordingly. They can choose to add something new to help clarify a topic, such as an image or explainer video.

Communicating with parents and administrators about student progress reports: Teachers will share their students' learning progress reports with their parents and other teachers and administrators. After all, learning is no longer a discrete process but a continuous and integrated student experience with an institution throughout their academic career.

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