Category Archives: Educational Technology

LM101-046: How to Optimize Student Learning using Recurrent Neural Networks (Educational Technology)

Teaching students using deep knowledge tracing.

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LM101-046: How to Optimize Student Learning using Recurrent Neural Networks (Educational Technology) Episode Summary: In this episode, we briefly review Item Response Theory and Bayesian Network Theory methods for the assessment and optimization of student learning and then describe a poster presented on the first day of the Neural Information Processing Systems conference in December 2015 in Montreal… Read More »

LM101-040: How to Build a Search Engine, Automatically Grade Essays, and Identify Synonyms using Latent Semantic Analysis

Mother and android looking at a park scene and learning about "dogs".

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LM101-040: How to Build a Search Engine, Automatically Grade Essays, and Identify Synonyms using Latent Semantic Analysis Episode Summary: In this episode we explain how to build a search engine, automatically grade essays, and identify synonyms using Latent Semantic Analysis. Show Notes: Hello everyone! Welcome to the fortieth podcast in the podcast series Learning Machines 101. In this… Read More »

LM101-038: How to Model Knowledge Skill Growth Over Time using Bayesian Nets (Educational Technology)

Machine learning and educational technology for assessing the growth of knowledge in a student.

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LM101-038: How to Model Knowledge Skill Growth Over Time using Bayesian Nets Episode Summary: In this episode, we examine the problem of developing an advanced artificially intelligent technology which is capable of tracking knowledge growth in students in real-time, representing the knowledge state of a student a skill profile, and automatically defining the concept of a skill without… Read More »

LM101-037: How to Build a Smart Computerized Adaptive Testing Machine using Item Response Theory

In this episode, we discuss the problem of how to build a smart computerized adaptive testing machine using Item Response Theory (IRT).

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LM101-037: How to Build a Smart Computerized Adaptive Testing Machine using Item Response Theory Episode Summary: In this episode, we discuss the problem of how to build a smart computerized adaptive testing machine using Item Response Theory (IRT). Suppose that you are teaching a student a particular target set of knowledge. Examples of such situations obviously occur in… Read More »