Adaptive learning system using big data based machine learning

March 15, 2019, University of Electro Communications
Adaptive learning system using big data based machine learning
Intelligent scaffolding system to provide adaptive hints.

Over the past few decades, many studies conducted in the field of learning science have reported that scaffolding plays an important role in human learning. To scaffold a learner efficiently, a teacher should predict how much support a learner must have to complete tasks and then decide the optimal degree of assistance to support the learner's development. Nevertheless, it is difficult to ascertain the optimal degree of assistance for learner development.

In this study, we assumed that optimal scaffolding is based on a probabilistic decision rule: given a teacher's assistance to facilitate the learner development, an optimal exists for a learner to solve a task. To ascertain the optimal probability, we developed a scaffolding system that provides adaptive hints to adjust the predictive probability of the learner's successful to the previously determined certain value, using a statistical machine learning technology.

Furthermore, using the scaffolding system, we compared learning performances by changing the predictive probability. Our results showed that scaffolding to achieve 0.5 learner success probability provides the best performance. Also experiments demonstrated that a scaffolding system providing 0.5 probability decreases the number of hints (amount of support) automatically as a fading function according to the learner's growth capability.

Explore further: A new dynamic ensemble active learning method based on a non-stationary bandit

More information: Maomi Ueno and Yoshimitsu Miyazawa, IRT-Based Adaptive Hints to Scaffold Learning in Programming, IEEE Transactions on Learning Technologies, IEEE computer Society, 11, No.4, 415-428, (2018).

Related Stories

AI's huge potential to transform education

December 5, 2018

A list of 26 ways that AI can contribute to education shows that distance learning is one of the most promising avenues for the application of AI in the field of education. This type of learning focuses on the mobility of ...

Recommended for you

Physicists discover new class of pentaquarks

March 26, 2019

Tomasz Skwarnicki, professor of physics in the College of Arts and Sciences at Syracuse University, has uncovered new information about a class of particles called pentaquarks. His findings could lead to a new understanding ...

Study finds people who feed birds impact conservation

March 26, 2019

People in many parts of the world feed birds in their backyards, often due to a desire to help wildlife or to connect with nature. In the United States alone, over 57 million households in the feed backyard birds, spending ...

Matter waves and quantum splinters

March 25, 2019

Physicists in the United States, Austria and Brazil have shown that shaking ultracold Bose-Einstein condensates (BECs) can cause them to either divide into uniform segments or shatter into unpredictable splinters, depending ...


Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.