Next-Generation Interactive, Educational Television: Using Artificial Intelligence and the Internet to Customize Instruction to Student Learning Needs PROCEEDING
John Leddo, Srinidhi Krishnamurthy, MyEdMaster, United States
EdMedia: World Conference on Educational Media and Technology, in Washington, DC ISBN 978-1-939797-29-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
The focus of the research was to develop technology to deliver interactive, web-based TV programming. The technology used a mixture of animation and intelligent tutoring system technology. The educational content chosen was middle school math, specifically finding an individual score that caused an average to change from one value to another. We evaluated the learning effectiveness of the technology by creating both interactive and non-interactive versions of a TV show and testing them in a New Jersey school district. The interactive version allowed students to select different ways of being taught the material, solve a problem step-by-step using the method being taught, receive hints if they got stuck or receive feedback if they make mistakes while solving the problem. 33 students were assigned to the interactive TV condition and 35 were assigned to the non-interactive TV condition. Results showed that, on average, students viewing the interactive TV show performed about four tim
Leddo, J. & Krishnamurthy, S. (2017). Next-Generation Interactive, Educational Television: Using Artificial Intelligence and the Internet to Customize Instruction to Student Learning Needs. In J. Johnston (Ed.), Proceedings of EdMedia 2017 (pp. 1242-1247). Washington, DC: Association for the Advancement of Computing in Education (AACE). Retrieved November 22, 2017 from https://www.learntechlib.org/p/178442/.
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