{"id":101436,"date":"2019-07-31T13:06:18","date_gmt":"2019-07-31T17:06:18","guid":{"rendered":"https:\/\/www.ucf.edu\/news\/?p=101436"},"modified":"2022-02-21T11:47:20","modified_gmt":"2022-02-21T16:47:20","slug":"ucf-researchers-ai-tutoring-tool-targets-improving-student-studying-skills","status":"publish","type":"post","link":"https:\/\/www.ucf.edu\/news\/ucf-researchers-ai-tutoring-tool-targets-improving-student-studying-skills\/","title":{"rendered":"UCF Researcher\u2019s AI Tutoring Tool Targets Improving Student Studying Skills"},"content":{"rendered":"<p>Effective studying is a skill, but it\u2019s one students sometimes don\u2019t learn despite years of schooling.<\/p>\n<p>A University of Central Florida researcher has developed a <a href=\"https:\/\/www.ucf.edu\/modeling-simulation\/\">computer-based, artificial intelligence<\/a> tutoring tool \u2013 MetaTutor \u2013 that monitors students\u2019 learning activities, facial expressions, eye movements, and interactions with avatars, and adapts its instruction delivery to help students learn more effectively.<\/p>\n<p>The tool is featured in the U.S. Department of Education\u2019s What Works Clearinghouse report <a href=\"https:\/\/ies.ed.gov\/ncee\/wwc\/Docs\/PracticeGuide\/wwc-using-tech-postsecondary.pdf\">Using Technology to Support Postsecondary Student Learning<\/a>.<\/p>\n<p>\u201cHumans struggle and face serious challenges when learning, reasoning and problem solving,\u201d says Roger Azevedo, a professor in UCF\u2019s <a href=\"https:\/\/www.ucf.edu\/college\/community-innovation-education\/\">College of Community Innovation and Education<\/a> who developed the tool. \u201cSo, we as psychologists are finding ways of understanding what those challenges or limitations are so we can help people overcome them.\u201d<\/p>\n<p>MetaTutor works by placing students inside an AI-supported learning environment they access through their computer. As they navigate the content they are studying, the tool monitors the information they are accessing and for how long. If students start going down the wrong track, the computer\u2019s AI will recognize this and will begin to help them readjust.<\/p>\n<p>\u201cFor example, what if the student selects content that is part of the topic but isn\u2019t relevant to the current learning goal?\u201d Azevedo says. \u201cIf a student persists with that content, then after a certain amount of time, one of the tool\u2019s four avatars, Mary the Monitor, pops up on the screen.\u201d<\/p>\n<p>\u201cMary starts a dialogue,\u201d Azevedo says. \u201cShe says, \u2018Hey, do you think this content is relevant to your current learning goal?\u2019 If the student says \u2018yes,\u2019 then they have to explain to Mary why it\u2019s relevant. Depending on their response, Mary provides individualized instructional techniques and feedback.\u201d<\/p>\n<p>These prompts help students stay focused and augment their ability to discern the material most relevant to their planned and current learning goals. This helps improve their metacognition, or ability to be aware of what they are learning.<\/p>\n<figure id=\"attachment_101438\" style=\"max-width: 1200px;\" class=\"figure\"><noscript><img decoding=\"async\" width=\"1200\" height=\"800\" class=\"figure-img  img-fluid w-100 size-full wp-image-101438\" src=\"https:\/\/www.ucf.edu\/news\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800.jpg\" alt=\"Roger Azevedo\" srcset=\"https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800.jpg 1200w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-300x200.jpg 300w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-768x512.jpg 768w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-600x400.jpg 600w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-360x240.jpg 360w\" sizes=\"(max-width: 1200px) 100vw, 1200px\"><\/noscript><img decoding=\"async\" width=\"1200\" height=\"800\" class=\"figure-img  img-fluid w-100 size-full wp-image-101438 lazyload\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20800%22%3E%3C%2Fsvg%3E\" alt=\"Roger Azevedo\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20800%22%3E%3C%2Fsvg%3E 1200w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" data-srcset=\"https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800.jpg 1200w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-300x200.jpg 300w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-768x512.jpg 768w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-600x400.jpg 600w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800-360x240.jpg 360w\" data-src=\"https:\/\/www.ucf.edu\/news\/wp-content\/blogs.dir\/20\/files\/2019\/07\/roger_azevedo_1200x800.jpg\"><figcaption class=\"figure-caption\">Roger Azevedo, a professor in UCF\u2019s College of Community Innovation and Education, developed an AI-based tutoring tool.<\/figcaption><\/figure>\n<p>Azevedo and his <a href=\"https:\/\/www.ucf.edu\/research\/\">interdisciplinary research team<\/a> are focused on improving student learning outcomes, which is why they are also continuously collecting data about what people are doing and what is happening to them during the learning process.<\/p>\n<p>This includes tracking their eye movements across the screen, monitoring their facial expressions of emotions and interactions and dialogue with the four avatars. The team also monitors the physiological responses of each participant during complex learning.<\/p>\n<p>These data about how students examine and react to content can then be entered back into the system to improve the tool\u2019s educational effectiveness.<\/p>\n<p>For example, the data can predict and select what material is more likely to be associated with students\u2019 current learning goals or offer a better way to examine and learn the material based on how students used their eyes to scan multimedia instructional materials.<\/p>\n<p>In the future, the data being collected will allow the AI-based learning and training system to provide real-time, individualized feedback and support to meet each student\u2019s learning needs, Azevedo says.<\/p>\n<p>The tool is currently designed to teach college students about human body systems, but knowledge gleaned from researching it as a learning tool could be applied to educational material for other fields as well. Research has focused on college students but could eventually include testing the system with high school and middle school students as well as medical professionals.<\/p>\n<p>Work on MetaTutor began in 2010, and the research has been supported with National Science Foundation grants through the years that total $4 million, as well as funding from the Social Sciences and Humanities Research Council of Canada.<\/p>\n<p>Azevedo\u2019s research has shown that 73 to 86 percent of people who use the AI-based version of MetaTutor outperform people who use the non-AI based version that does not adapt to the user.<\/p>\n<p>A version of MetaTutor is currently being used in Spain to teach college students with learning disabilities, and Azevedo says there are plans to expand its reach, including designing a version for high school and middle school students to fit their curriculum needs.<\/p>\n<p>Azevedo received his doctorate in educational psychology from McGill University and his postdoctoral training in cognitive psychology at Carnegie Mellon University. He received his master\u2019s in educational technology and bachelor\u2019s in psychology from Concordia University. Azevedo is the lead scientist in UCF\u2019s <a href=\"https:\/\/www.ucf.edu\/research\/learning-sciences\/\">Learning Sciences Cluster<\/a> and has joint appointments in UCF\u2019s <a href=\"https:\/\/www.cs.ucf.edu\/\">Department of Computer Science and UCF\u2019s Department of Internal Medicine<\/a>. He joined UCF in 2018.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The tutoring tool developed by a UCF researcher uses artificial intelligence to help students learn more effectively by monitoring their learning activities, facial expressions, eye movements and interactions with avatars.<\/p>\n","protected":false},"author":199,"featured_media":101446,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"lazy_load_responsive_images_disabled":false,"footnotes":"","_links_to":"","_links_to_target":"","_wp_rev_ctl_limit":""},"categories":[5,23,24],"tags":[17177,2270,27482,15761,14916],"tu_author":[],"class_list":["post-101436","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-colleges","category-research","category-science-technology","tag-college-of-community-innovation-and-education","tag-impact","tag-learning-sciences","tag-pegasus-briefs","tag-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>UCF Researcher\u2019s AI Tutoring Tool Targets Improving Student Studying Skills | University of Central Florida 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