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Cognitive Computing & Education: IBM HorizonWatch 2016 Trend Brief

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The slides provide a quick overview of how the Cognitive Computing Era might impact the future of Education. The slides provide summary information, a list of trends to watch and links to additional resources

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Cognitive Computing & Education: IBM HorizonWatch 2016 Trend Brief

  1. 1. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Cognitive Computing & Education IBM HorizonWatch 2016 Trend Brief – External Version Bill Chamberlin, Principal Client Research Analyst / HorizonWatch Community Leader May 11, 2016
  2. 2. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. About This HorizonWatch Emerging Trend Brief 2 Cognitive Computing & Education: HorizonWatch 2016 Emerging Trend Brief (External Version)11May2016  Purpose: The slides provide a quick overview of how the Cognitive Computing Era might impact the future of Education. The slides provide summary information, a list of trends to watch and links to additional resources  How To Use This Report: Use these slides as a learning document and a springboard to further research and reading on this trend. You may want to view the slides in slideshow mode so you can easily follow the links  Available on Slideshare: The latest version of this file (and other HorizonWatch Trend Reports for 2016) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching  Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
  3. 3. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Overview: Cognitive Computing and the Future of Education Cognitive Computing and the Future of Education refers to the application of cognitive technologies to influence and/or transform education. The application of Cognitive Computing to Education will result in learning activities that will be customized to each individual. Future teacher assistants will be the cognitive coaching apps on personal devices. Those apps will know the student better than the teacher does. The apps will factor in all the data available, including student learning goals, their current level of knowledge and their past learning experiences. Those apps will be able to access the full body of educational knowledge on topics and be able to provide personalized learning modules and experiences - all tailored to the student. 3 Enabling Technologies: The foundation of cognitive computing within education will be built upon technologies related to data collection, data mining, pattern recognition through predictive analytics and natural language processing systems. Cognitive computing in education will involve machine learning that uses data mining to improve learning programs for educators and for students. Cognitive Computing & Education: HorizonWatch 2016 Emerging Trend Brief (External Version)11May2016 “By deploying cognitive, mobile, and analytics technologies in poor districts, educators can create an early warning system to identify which schools – and even which students – are most at risk to fail.” Forbes How African Schools Are Using Cognitive Systems To Help Shape The Future Of Education Source: MD&I, TBR IBM: Personalized education “Ultimately, education experiences will be improved when data can accompany the student throughout their lifelong learning journey.” IBM: Personalized education
  4. 4. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Cognitive Computing & Education – 5 trends to watch in 2016 1. Personalized learning is the future. Students need a customized approach to help them learn and information based on a method that is suited to them, not the whole class. 2. Cognitive apps assist the learning process: In classroom robots and mobile device personal assistants interact with students and teachers, understand their emotions & learning challenges and help develop better lesson plans tailored to each student. 3. Focus on improving retention. Learning systems will begin to retain and mine social interaction, personal experiences and viewpoints at a personal level, helping each student in the process of transforming information to knowledge. 4. Mining the growing library of education content. Big data, analytics, and cognitive systems will digest all this content and more to help educators and researchers with their decisions. 5. Improving students’ experience outside the classroom. Transactional systems that collect student data (i.e. parking systems, dining solutions) can be used to improve on-campus amenities and enhance overall education experience. 4 “Personalizing Education can change a kid’s life. It can keep the advanced ones from getting bored and the struggling ones from falling behind, because every kid, no matter their level of proficiency, is encouraged to move at his or her own pace..” Wired: This robot tutor will make personalizing education easy IBM Watson Blog: How cognitive systems will make personalized learning a reality Cognitive Computing & Education: HorizonWatch 2016 Emerging Trend Brief (External Version)11May2016 Gartner: Gartner Highlights Top 10 Strategic Technologies for Higher Education in 2016
  5. 5. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Cognitive Computing & Education Adoption Challenges  Privacy concerns. To properly implement adaptive learning, cognitive learning systems will need access to a diverse range of data sets, including in some instances private student data and records. Before any technology can be implemented, vendors and institutions need to address the privacy concerns that face the implementation of cognitive technologies.  Skills of educators. Often times when educators are asked to implement new technology into their classroom, they are not provided adequate resources for implementation. This decreases the likelihood of students receiving the benefits of the new technology, which in turn impedes investment value and creates more hesitation by decision makers toward implementation of new technologies moving forward.  Cost. Implementing technology requires institutions to invest in hardware, software (this includes security software as well) and in some cases re-architect the overall physical design of the classroom. Institutions will also need to invest in a more robust IT workforce to support the expansion in technology as well. Schools, limited by their budget, are risk averse and are hesitant about investing excessively in new and unproven technology systems. 5 “Higher education is still mostly considered a conservative and slow-moving industry, with the majority of innovation coming from outside the traditional education IT organization.” Gartner: Gartner Highlights Top 10 Strategic Technologies for Higher Education in 2016 Pearson: Personalized Learning and Student Privacy Cognitive Computing & Education: HorizonWatch 2016 Emerging Trend Brief (External Version)11May2016 Campus Technology: 6 Major Barriers Impeding Technology Adoption in Education
  6. 6. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected links to IBM external resources • IBM: Personalized education • IBM Watson Blog: How cognitive systems will make personalized learning a reality • IBM: Education Technology Solutions • IBM Research: The classroom will learn you • IBM: Personalized Adaptive Learning • IBM: Cognitive Learning Assistants (presentation) • IBM: Are Learning Institutions Embracing Cognitive? (blog) • IBM: Watson for Education (blog) • IBM: Personalized Education to drive individual and societal success (blog) • IBM: Cognitive Learning Content: A vision for how to make learning deeply engaging as well as intuitive (blog) • IBM Government Industry: Big Data, Watson, and Cognitive Computing: Improving Education and Regional Competitiveness (blog) 6 Cognitive Computing & Education: HorizonWatch 2016 Emerging Trend Brief (External Version)11May2016 IBM: Are Learning Institutions Embracing Cognitive? “Ultimately, the vision for this initiative is to usher in not only the era of personalized learning, but also to an era where deeply immersive, interactive and intelligent content which is carefully designed to engage learners and drive better outcomes is deployed to the benefit of learners everywhere.” IBM “Deeply immersive interactive experiences with intelligent tutoring systems can transform how we learn.” Satya Nitta, Director, IBM Cognitive Sciences and Education Technology (as quoted in IBM paper: Personalized education)
  7. 7. © 2016 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected additional resources  Campus Technology: 9 Ed Tech Trends To Watch in 2015  EdSource: Major education issues to watch in 2016  EducationDIVE: 2016 predictions and higher ed's unbundling  EducationDIVE: The new face of personalized learning is a computer  Education Week: The Future of Big Data and Analytics in K-12 Education  Educause: 7 things you should know about personalized learning  Educause: Analytics in Higher Education, 2015  Educause: 2016 Horizon Report  Eduventures: 2016 Higher Ed Predictions: A Year to Unite  FastCompany: 5 Big Ways Education will change by 2020  Forbes: The Future of Artificial Intelligence in Education  Getting Smart: 8 Ways Machine Learning Will Improve Education  HackEducation: The Algorithmic Future of Education and slides here  HackEducation: The History of the Future of Labor and Learning  Ithaka S+R: An Overview of Adaptive Learning Solutions for Higher Education  KMWorld: Cognitive computing: Talking toys will shape education  KnowledgeWorks: The Future of Learning  iNACOL: Predictions and Changes Ahead in K-12 Education  NPR: 6 Education Stories To Watch In 2016  TheJournal.com: 6 Technology Challenges Facing Education  Washington Post: Eight education predictions for 2016  Wired: This Robot Tutor will make Personalized Education easy 7 Cognitive Computing & Education: HorizonWatch 2016 Emerging Trend Brief (External Version)11May2016 “Personalized learning aims to build a “profile” of each student’s strengths, weaknesses, and pace of learning - similar to how learning analytics monitors student performance, looking for patterns likely to predict how students will fare - and customize educational experiences and support accordingly.” Educause: 7 things you should know about personalized learning Forbes: The Future of Artificial Intelligence in Education EducationDIVE: The new face of personalized learning is a computer

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