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Posts Tagged ‘Inquire’

Electronically enhanced learning

We are working on educational technology.  That is, technology to assist in education.  More specifically, we are developing software that helps people learn.  There are many types of such software.  We are most immediately focused on two such types. adaptive educational technology for personalized learning cognitive tutors The term “adaptive” with regard to educational technology [...]

Suggested questions: Inquire vs. Knewton

Knewton is an interesting company providing a recommendation service for adaptive learning applications.  In a recent post, Jonathon Goldman describes an algorithmic approach to generating questions.  The approach focuses on improving the manual authoring of test questions (known in the educational realm as “assessment items“).  It references work at Microsoft Research on the problem of [...]

Automatic Knowledge Graphs for Assessment Items and Learning Objects

As I mentioned in this post, we’re having fun layering questions and answers with explanations on top of electronic textbook content. The basic idea is to couple a graph structure of questions, answers, and explanations into the text using semantics.  The trick is to do that well and automatically enough that we can deliver effective [...]

Artificially Intelligent Educational Technology

Over the last two years, machines have demonstrated their ability to read, listen, and understand English well enough to beat the best at Jeopardy!, answer questions via iPhone, and earn college credit on college advanced placement exams.  Today, Google, Microsoft and others are rushing to respond to IBM and Apple with ever more competent artificially [...]

US News & World Report: “The Education-Technology Revolution Is Coming”

This US News & World Report opinion is on the right track about the macro trend towards increasingly technology-enabled education: But it also sounds like what I heard during the dot-com boom of the 1990s when a lot of companies—including Blackboard—began using technology to “disrupt” the education status quo. Since then we’ve made some important [...]

Pedagogical applications of proofs of answers to questions

In Vulcan’s Project Halo, we developed means of extracting the structure of logical proofs that answer advanced placement (AP) questions in biology.  For example, the following shows a proof that separation of chromatids occurs during prophase. This explanation was generated using capabilities of SILK built on those described in A SILK Graphical UI for Defeasible [...]

Background for our Semantic Technology 2013 presentation (part 1)

In the spring of 2012, Vulcan engaged Automata for a knowledge acquisition (KA) experiment.  This article provides background on the context of that experiment and what the results portend for artificial intelligence applications, especially in the areas of education.  Vulcan presented some of the award-winning work referenced here at an AI conference, including a demonstration [...]