Data set on ML student success?

Artificial intelligence has opened new language acquisition pathways for learners and teachers. These programs allow any learner, anywhere, to receive personalized lesson plans and feedback. When part of a classroom (virtual, physical, or mixed), AI language learning programs help teachers assess student progress.

A distance learning course refers to online education method where students learn at their own pace but also have the benefit of teacher instruction. Interest in distance learning has spiked massively over the past year, due to worldwide lockdowns forcing in-person educators to change tactics, so there is more data than ever on this subject. Often, the term is used interchangeably with “e-learning” and “virtual classroom” although there are important differences. E-learning, for example, refers to self-paced study without the instruction of a teacher or set study times. A virtual classroom, on the other hand, has a teacher overseeing students and a set class time.

An e-learning course enables people to learn material at their own pace, with no instructor present. Machine learning programs optimize learning with supervised, unsupervised, semi-unsupervised, and reinforcement methods. While individuals use these courses the most, the highest-paying customers include higher education institutions and corporations. Of note, although the term is often used interchangeably with "distance learning" or "virtual classroom," these terms refer to a learning environment overseen by a professional educator. E-learning is self-directed.

At heart, a virtual classroom is simply a class that meets virtually. In comparison, distance learning and e-learning classrooms are self-paced, requiring no set meeting times. While virtual learning sounds simple, it does come with a number of unique challenges, especially for children.

As opposed to customer segmentation which divides the market into groups based on demographics and purchase history, persona detection and segmentation creates more personal profiles in order to better understand potential customers using information about behavior, attitude and personal journeys.

Behavioral targeting is the process of marketing to people who are most likely to use your products or services based on their demonstrated behavior. This behavior may be online (for example, keywords searched, websites visited) or offline (location tracking data, for example).