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7 years ago
I randomly stumbled upon this article. There is a university in Thailand that "invented" this anti-cheating device.
7 years ago
This paper talks about using computer games to measure students for adaptive instruction purpose. The idea is actually very straightforward. Through interaction with video games, students are asked to make a series of choices related to sciences. The researcher then used the captured data to train the Neural Network. Once enough data have been collected, the students' behavior patterns are essentially captured. It is at this stage that instructors can test diffe...
7 years ago
This NY Times article is a very cool idea. The little blue robot can be programmed by kids through a tablet or smartphone. Per creators, the interface and procedures to program this robot is appropriate for children around five years old. I agree with the creators that teaching kids programming at a young age is very important, especially for the development of mathematical thinking. Some mathematical concepts (like logic operation, sequencing, lo...
7 years ago
This article talks about measuring learning outcomes in MOOC settings. It does have some good points. They pointed out that current peer grading is like producing teacher clones which might not be the best approach. It is problematic that we ask peers to rate each other like a teacher would. I was thinking that instead of giving peers holistic scores, learners would simply extract features that would be helpful to predict or classify learning outcomes. It is pretty funny they mentioned "teachers grade st...
7 years ago
An interesting and possible MOOC business model.
7 years ago
This paper talked about results of comparing different machine learning techniques in classification problem. The results are interesting and somehow expected. Support Vector Machines (SVM) and Artificial Neural Networks (ANN) performed best overall. Also, feature selection is a a great factor for any algorithm. Selecting irrelevant features will have a huge impact on any of them and Linear Discriminant Analysis (LDA) suffered most. Apply some sort of filter before using features as it is very important, especially for ...
7 years ago
Hui Soo and I are going to attend a talk by Yoav Bergner (ybergner@ets.org) from ETS. Here is the abstract: The ability to automatically distinguish between successful and deleterious patterns in collaborative learning sessions opens doors to improved opportunity for learning in pairs or groups even when a teacher might not be available to facilitate. In this presentation, data from one-time computer-based peer tutoring sessions are modeled using hidden Markov models (HMMs) in two ways. The first model uses an input-output HMM to compare the assistance value of different tutor inputs in h...