You're looking to predict student success. What are the top learning analytics tools to help you do it?

The following are the best learning analytics tools for predicting student success: 1. Learning Management Systems (LMS): Websites such as Moodle and Canvas monitor student performance and engagement. 2. Predictive analytics platforms: Programs that use data to predict student outcomes include Civitas Learning and Brightspace. 3. Early Warning Systems: By identifying at-risk students, systems such as Signal Vine or Starfish enable prompt intervention. 4. Educational Data Mining (EDM) Tools: These tools use algorithms to find patterns in student data and draw conclusions. 5. Business Intelligence (BI) Tools: To help with well-informed decision-making, tools like Tableau and Power BI visualize complex data.

To predict student success, educators can harness a suite of analytical tools embedded within Learning Management Systems (LMS). These tools encompass various functionalities. By analyzing student data such as grades, attendance, and participation, educators can uncover patterns and trends indicative of success. Predictive analytics enable the identification of at-risk students, allowing for timely interventions to prevent failure or dropout , facilitating informed decision-making. Additionally, adaptive learning systems personalize the learning experience for each student, catering to individual strengths, weaknesses, and preferences.

By analyzing historical data, it the allows educators to have a targeted intervention and support services to the students. They are then able to identify areas of strength and weakness in their instructional practices and tailor their teaching strategies to better meet the needs of their students.

AI for guidance purposes would be an asset. AI should be used carefully and by no means manipulate students. Learning platforms could be designed taking into considerations the students interests, needs and abilities. Guidance for multi language learners could promote lessons tailored for an accelerated learner in an IB program. Win win situations!

Receiving background knowledge on each individual student might be a great way to streamline individual packages of activities to motivate the student to fully engage in the learning process. Considering their interests, their needs, and their abilities would be important.

Engaging students on the needs of our communities could be a point of interest. Learning about the needs of the humans and animals in communities can rally students to be involved in a caring environment. I have seen this happen with a technology project that was designed to help engage the students in the needs of a community.

When I was in school, all this techno babble didn't exist. I didn't really have problems learning till I was in Germany, using the Armed Forces schooling system and came back to the States! The schooling in Europe was a few years behind the States in getting the latest teaching programs to improve learning for the kids under their control. In Germany I had schooling for grades 4,5, and 6, at least partially, When I came to Texas, I finished sixth grade to move on to junior high and half of high school. Problems were mainly based on socialization, making friend(s), talking to females, dealing with cliches, and finding myself...