Education and Cognitive Sciences - overview
Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data
|Tengfei Ma, Tetsuya Nasukawa|
Gaze or Touch: Comparison of Interaction Techniques for Agent-Based Early-Childhood Learning Application
Deepak Akkil, Prasenjit Dey, Deepshikha Salian, Nitendra Rajput
June 28-July 2
|Wizard’s Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering||Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu|
June 28-July 2
|Conginuous Cognitive Career Companions||Bhavna Agrawal, Rong Liu, Ravindranath Kokku, Yi-Min Chee, Ashish Jagmohan, Satya Nitta, Sherry Sin and Michael Tan|
|Inferring Frequently Asked Questions from Student Answering Forums||Renuka Sindhgatta, Smitkumar Marvaniya, Tejas Dhamecha, Bikram Sengupta|
|Tell Me More : Digital Eyes to the Physical World for Early Childhood Learning||Vijay E, Ruhi Sharma, Prasenjit Dey, Ravindranath Kokku, Satya Nitta|
|VisualMath: An Automated Visualization System for Understanding Math Word-Problems||Utkarsh Dwivedi, Prasenjit Dey, Nitendra Rajput, Blessin Varkey|
Steps towards wider availability:
|2017-Jun-06||IBM Watson and Sesame Workshop Introduce Intelligent Play and Learning Platform on IBM Cloud||Press Release||Blog|
|2016-Oct-25||IBM Watson Education and Pearson to Drive Cognitive Experiences for College Students||Press Release|
|2016-Oct-19||Watson Element for Educators, part of Watson Classroom||Press Release|
|2016-Sep-22||Teacher Advisor with Watson||info|
About our Research Objectives and Methods:
Recent advances in computer intelligence, interactivity and cognitive neuroscience hold major implications for impacting all forms of learning (formal-K-12, formal-higher-education, non-formal and informal).
IBM Research, as part of a broader IBM effort to invest significantly in education transformation, is building up a broad, multi-disciplinary department at the intersection of cognitive computing, contextual analytics, adaptive interactivity and cognitive neuroscience to help define and lead this emerging area. The team in the United States reports to Satya Nitta, PhD, and coordinates with sister teams in Australia, Brazil, India and Kenya.
The Education and Congitive Sciences Research department has both a neurosciences team as well as a significant technology team with team members expected to work closely across both initiatives to share methods and principles. Further, the teams are expected to interact with and partner across IBM Research with other teams in big data analytics, security-privacy, cognitive computing, speech processing, video analytics, and neuroscience.
The focus of the cognitive neuroscience thrust is to develop a Research agenda to understand fundamental principles of cognition and build both an experimental and a theoretical agenda to further this field. We anticipate studying the learning of youth and adults with special cognitive conditions or in unusual out-of-the-classroom learning environments. Preference will be given to researchers with a focus on early childhood learning although we are open to world class candidates who are interested in other forms of learning and memory formation.
We are looking for both fresh PhD's in computational and experimental neuroscience as well as experienced researchers with an outstanding track record of publication and scholarship in the field. In addition to being technical experts, the experienced candidate(s) will be expected to help build connections to the top universities and researchers in this space as well as help build and lead the initiative. We also are launching a number of collaborations with Academic Institutions in 2017.
The technology initiative is being conducted at the intersection of machine learning, analytics (BI and predictive), natural language processing and adaptive interactivity including emerging technologies like virtual and augmented reality, tangible user interfaces and haptics. The IBM Watson platform of technologies will be used as the core platform, augmented with IBM's Cloud Data platform and SPSS platforms, and Open Source data platforms, and differentiating applications including some or all of these techniques will be built to further the process of teaching and learning and evidence-based analysis of what works for what kind of learners. Our solutions and pilots are informed by IBM Design Thinking.
The technology initiative is looking for collaborators across a variety of skill areas including machine learning and natural language processing, game design and development, virtual and augmented reality programming, as well as UX design and development.
For the machine learning and natural language processing areas, strong preference for collaborators will be given for PhD's in computer science and engineering from outstanding programs with a promising track record of publication and scholarship.
For analytics, preference for collaborators will be given to PhD's who have published in the field of Educational Analytics. We are also interested in people who have worked in the area of continuous and episodic software-assisted assessments.
We will also be adding Research Software Engineers to our team.
We are also launching collaborations with a number of Faculty at US and European Universities, with first publications anticipated in early 2018.
US 3rd Grade Mathematics teachers can participate in the Pilot of Teacher Advisor with Watson.
We have a collaboration with Sesame Workshop focused on personalized learning for young children. There is a teaser Youtube video about this work, and is mentioned as one aspect of IBM's multi-pronged effort to extend and expand Watson. See Cognitive Learning Goes to School with IBM and Sesame Street.
We are collaborating with our partners to explore usage in other countries. Here is a Podcast about Work in Africa. Our senior manager Satya Nitta sat for a short video-interview with EDUCAUSE in July 2017 which you can watch at Video: 4 FAQs about Watson as a Tutor .