5 AI Solutions Education Companies Use Often
AI Insights
8 min read

5 AI Solutions Education Companies Use Often

Why education companies use AI

Education companies have to provide learning that considers each learner's goals, current level, and disposition. Because levels vary, some learners need to hear the same content in more detail, while others can move through quickly. For effective education like this, personalized learning that fits each learner's disposition and level is essential.

But providing personalized education to learners isn't easy. Grasping each learner's disposition, diagnosing their level, and providing tailored content takes a lot of time and effort. On top of that, you also have to handle simple repetitive tasks with no direct link to teaching quality — grading answers, taking attendance, managing learning progress, and so on.

So many education companies use AI solutions. They provide personalized education with AI, raise teaching efficiency, and cut unnecessary work. This article introduces 5 AI solutions education companies use often.


5 education AI solutions

Education AI Solution 1 — Personalized learning curation

개인화 학습 큐레이션 이미지입니다

Business goal

Providing each learner with a suitable learning path matters. A mismatched level, content unrelated to their goals, or a lecture or problem style that doesn't match their disposition greatly lowers learning efficiency. So, to raise educational outcomes and efficiency, you have to provide personalized learning that considers the learner's goals, current level, and disposition.

Problem

Providing personalized education to each individual takes a lot of time and cost. You diagnose the current situation, analyze the actions needed to reach the goal, and provide matching personalized education. This is made up of three jobs — diagnosis, analysis, and recommendation. You have to do all three of these, when even doing one well is hard. So providing tailored content to each individual takes a lot of effort and time.

Solution (AI)

AI analyzes the learner's behavior data and curates and provides customized educational content. AI diagnoses the learning level, analyzes the difficulty needed to reach the goal, and even provides tailored content recommendations. Through this, you can provide personalized learning to many individuals without spending time and cost.

Custom AI points

  1. You can adjust the learning content to match the learning goals and curriculum the institution sets.

  2. You can analyze and reflect the data generated during learning in real time.

  3. Through continuous feedback, you can provide optimized curation. For courses with a lot to learn and that require steady study — such as the CSAT, certifications, or language tests — you can continuously reflect the learner's state to provide optimized personalized learning curation.

Education AI Solution 2 — Learning-report generation

학습 리포트 생성 이미지입니다

Business goal

Learning reports help you grasp what education to provide next. Educators can grasp what content and method to teach the learner, and students can check the parts they need to study more.

Problem

Providing each individual a tailored learning report takes a lot of time and cost. So many education companies provide learning reports in a fixed, template-like format. Even so, proposing recommended learning to an individual requires insight. Proposing such personalized recommended learning takes a lot of effort and time.

Solution (AI)

When you enter the learner's data — correct/incorrect data, learning progress, etc. — AI proposes recommended learning for the individual. It provides insights such as understanding of a specific topic, the learner's strengths/weaknesses, and real-time grade-change trends.

Custom AI points

  1. By providing an analysis model set to fit the learner's data characteristics and the educational purpose, you can derive insights more suitable for the learner. For example, a specific learning-ability assessment method an education company values, or difficulty adjustment for a specific subject, can be reflected in the AI analysis.

  2. Based on real-time learning data, it changes the learning strategy when needed to generate even more efficient learning reports.

  3. The AI model can be continuously updated and optimized according to client demands or changing education trends.

Education AI Solution 3 — Learner-focus monitoring

학습자 집중도 모니터링 이미지입니다

Business goal

Want to know whether students are focusing well on online lectures? Unlike offline, online makes it hard to grasp a learner's status immediately. So a monitoring program is needed. Through a monitoring program, you can induce learner immersion to improve learning outcomes and design classes more effectively.

Problem

Learner-focus monitoring is done through things like solving a quiz within a set time or logging out when there's no movement. But that's insufficient for grasping whether the learner is really focusing. Especially for exam-related matters, detailed monitoring is even more important.

Solution (AI)

AI analyzes the learner's face in real time to monitor focus. In the case of exams, AI can monitor the learner by tracking the eyes to check whether they're looking elsewhere. AI analyzes the learner's gaze and expressions to monitor focus on the lecture, and visualizes a focus graph after the lecture ends.

Custom AI points

  1. You can strengthen privacy-protection and data-security features tailored to the institution's needs. A learner's face and behavior data are highly sensitive information. This is suitable for handling it safely.

  2. Monitoring can differ depending on the lecture content or educational setting (e.g., hands-on lecture, theory lecture, etc.). Custom AI provides a tailored focus-assessment feature that reflects various situations.

Education AI Solution 4 — Lecture-video STT and summary

강의 영상 STT 및 요약 이미지입니다

Business goal

Ever missed lecture content while busy taking notes? Now STT is essential for learning. By providing lecture content as text, you raise comprehension while watching the lecture and boost learning efficiency afterward. You can also summarize the STT content to review and use the lecture even faster.

Problem

You need to adopt an STT feature that considers lecture-content security, the technical terms used in learning, and the fillers and expressions that vary by instructor's style.

Solution (AI)

Custom AI provides STT that fits a specific institution's needs. Lecture content isn't leaked, and it accounts for the technical terms used in learning and the fillers and expressions that vary by instructor's style. It can also provide features like lecture summaries, keyword search, and playback speed control.

Custom AI points

  1. By reflecting the technical terms, abbreviations, or technical expressions used in a specific department or industry, you can raise STT accuracy.

  2. Filtering and reflecting expressions to match the instructor's style is possible. By reflecting these expressions, it can convert to appropriate text.

  3. It can process data to prevent leakage of lecture content.

Education AI Solution 5 — Automatic answer-sheet grading

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Business goal

Still grading dozens or hundreds of answer sheets by hand? At a learning institution, grading is very low value-add work. That's why OMR machines have long handled multiple-choice grading. Likewise, to streamline a learning institution's operations, answers should be graded automatically.

Problem

OMR machines are very expensive, so the places that can use them are limited. Also, short-answer questions are simple to grade but still grading work you have to handle directly.

Solution (AI)

AI automatically recognizes multiple-choice OMR answer sheets, then measures scores to replace expensive OMR machines. It also automatically grades short-answer sheets using OCR technology. A feature to automatically compute representative values like the mean and median and visualize the score distribution can also be added.

Custom AI points

  1. Customization to process various languages and academic terms is possible. Accurate grading is possible even in specific educational fields or specialized academic areas.

  2. By reflecting the institution's feedback, the exam-grading model can be continuously updated. Based on this, it can be used as practical feedback for educational improvement.


If you're an education company considering AI development…?

So far, we've looked at 5 AI solutions education companies use often. Many education companies use AI solutions, but finding the one that fits your company exactly isn't easy. Because they're pre-built solutions, you have to put up with a few inconveniences while using them.

Dalpha provides custom AI that considers your company's situation and workflow. Many education companies use Dalpha's solutions — Company G, Korea's No. 1 corporate-education platform; Company W, a leading domestic English-education provider; and Company V, an elementary/middle/high-school textbook publisher and education company. Over 150 enterprise customers are developing AI through Dalpha.

An education company that wants to develop AI that fits your company exactly?

Get Dalpha's free consultation.

Our expert AI consultants will think through the AI that fits your company exactly, together with you 🙂

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