AI for Education 2019 Initiative

The purpose of the AI for Education 2019 Initiative is to identify and showcase the most impactful and beneficial applications of Artificial Intelligence in the field of Education.

Recognition will be given to people and organizations in EdTech who apply Artificial Intelligence in several domains including Adaptive LearningLanguage LearningPersonalized LearningCorporate Training and contribute to solving problems such as making high-quality education and learning experiences more accessible to all. 


AI in Education Articles & Interviews

AI and Educational domain experts and thought leaders can submit contributor articles and be interviewed on the topic of AI in Education.

Interview Series on AI in Education

We are interviewing educational domain experts and professors, data scientists, thought leaders, founders and executives of EdTech and eLearning companies.


AI for Education 2019 Committee

The Committee is composed of educational domain experts and professors, data scientists, founders and executives of EdTech and eLearning companies.

Committee members share a vision in:
1) Divulging knowledge and the state-of-the-art of AI in the educational domain
2) Identifying the direction in which the development of AI for Education is most impactful and beneficial

Oluwafunmilayo Ajayi
Founder @ Clarity Alignment Solutions & AI for Education 2019 Initiative Coordinator @ AI Time Journal
Change Management Consultant, Education Sector. Writing about all things related to AI in education and organizational development.
Read more
Lee Kin Lim
DATA SCIENCE COMMUNICATOR | HELPING COMPANIES SOLVE PROBLEMS WITH DATA | TOP WRITER @MEDIUM
Data Science writing in education, ML
Read more
Dr Premlatha KR, PhD
Assistant Professor @ PSY Engineering College
Research interests: 1) Intersection of E-learning applications such as Learner Profile Analysis, Learning Style Identification, Adaptive E-learning, E-content Retrieval, Learning Materials Design, and Dynamic Course Composition etc. 2) Applying Machine Learning techniques and algorithms to e-learning tasks 3) Adapting mathematical graph based algorithms and models to e-learning tasks
Read more
Ori Bendet
Director, Product Management @ Time To Know
An experienced Product Leader with both Enterprise and Startup experience combining strong technical and marketing skills. I’m currently leading a SaaS based digital learning platform at Time To Know called iEcho who helps instructors and SMBs digitize their learning processes. Prior to that I spent 8 years in HPE Software in various product and engineering positions.
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Emiliano De Laurentiis
Founder of Knowledge Avatars, author of individualized learning tools and e-learning. Publisher at Santé Media Group.
Manas Taneja
Software Engineer | Data Scientist | Cybersecurity Expert | Entrepreneur
A driven and dynamic CS/IT professional working to innovate/invent, design, and create top-notch solutions and products.
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Michael Campbell
Founder and CEO at Glossika
We've built the next step in efficient foreign language acquisition: integrated algorithms that optimise sorting of syntactic structures through an audio-based spaced repetition system. Glossika assists your breakthrough to fluency according to your time dedication and keeps you on track.
Read more
Julia Aymonier
Chief Digital Officer at Ecole hôtelière de Lausanne
Experienced Chief Information Officer with a demonstrated history as a leader in the higher education, banking and trading industries. Skilled in Innovation, Artificial intelligence, IT Strategy, IT Service Management, Business processes, Data Warehousing, and Data Center.
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A.M. Aditya
Co-Founder & CTO @ Xaltius
Currently on the entrepreneurial path trying to establish a stronghold in Singapore and India. I was part of the winning team of the NUS EdTech 2017 Hackathon in which the team proposed advanced methods to enhance the learning experience. I'm truly passionate about my work and am always eager to connect with other like-minded professionals.
Read more
Elaine Yin
EdTech | Product Manager @ Squirrel AI Learning


Media Partners

AI Time Journal Media Partnerships

AI Time Journal is a media partner at events and conferences worldwide aimed at spreading knowledge and advancements in Artificial Intelligence across several industries and domains.

Become a Media Partner

News websites, blogs, journals, and media outlets in the fields of EdTech, eLearning and Artificial Intelligence can be featured as media partners in the AI for Education 2019 Initiative page by collaborating in sharing major updates and announcements. Contact us to know more.


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