Khan Adds Personal Tutoring To Help Identify Skills Gap

Khan Academy has added a new personal tutor feature designed to help students figure out where to start their lessons and to know when they have mastered the concepts.

Khan Academy provides free educational videos and resources for use by anybody. The "learning flow," as it's referred to by Founder Sal Khan in a video about the new functionality, is currently available for math; additional subjects will be added "soon."

 

The development of learning flow, according to Khan, grew out of feedback from Academy students who "didn't know where to start. They didn't know what level was appropriate for them."

Once a student has set up a free account in the service and logged into a personal homepage, he or she will see a "mission," a condensed knowledge map that shows a box with tiny tiles in it, each tile representing a new skill to be learned. For example, the "world of math" mission includes 482 boxes. They start out gray. As the student shows understanding, the tiles begin to be filled in blue; the deeper the blue, the more the student has proved understanding of that skill.

"Learning flow really makes sure you know where to start, and not only that are you learning new things, but you have the opportunity to review those things and that you know when to use those things when faced with a whole mix of problems," said Khan.

Eventually, missions will be offered that align to grade level, preparing for a test, or performing some type of project. They'll also be offered for other subjects besides math.

To use the learning flow, the student starts with a pre-test that's adaptive. As he or she answers questions or chooses "I haven't learned this yet," software in the background performs an on-going analysis and presents easier or harder questions as the test progresses.

Immediately after the pre-test the mission diagram begins to get filled in. As the student hovers over each tile, it'll say what the skill is and what level the learner is at. Then the service will recommend what the next topic of instruction should be. The same process happens over again. A small quiz is presented with a handful of questions. When a concept confuses the user, he or she can view a video available right on the same page that explains the topic. When the student answers a certain number of questions in a row correct, the system brings up the next topic of learning.

The program also includes "mastery challenges," which allow students to show how well they can recall and apply what they've learned in a mixed group of questions that cross multiple skills.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • A panel discussion from SXSW EDU 2025

    12 Ways to Dive into AI at SXSW EDU

    This March 9-12, the SXSW EDU Conference & Festival returns to Austin, TX, to celebrate innovation, experimentation, and learning across every stage of education.

  • glowing crystal ball with network connections

    Call for Opinions: 2026 Predictions for Higher Ed IT

    How will the technology landscape in higher education change in the coming year? We're inviting our readership to weigh in with their predictions, wishes, or worries for 2026.

  • glowing brain above stacked coins

    The Higher Ed Playbook for AI Affordability

    Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.

  • AI word on microchip and colorful light spread

    Microsoft Unveils Maia 200 Inference Chip to Cut AI Serving Costs

    Microsoft recently introduced Maia 200, a custom-built accelerator aimed at lowering the cost of running artificial intelligence workloads at cloud scale, as major providers look to curb soaring inference expenses and lessen dependence on Nvidia graphics processors.