Ben John

New York City Metropolitan Area Contact Info
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About

Ben John is heading Microsoft's Generative AI Platform, enabling partners to design and…

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Experience & Education

  • Microsoft

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Volunteer Experience

  • Teaching AP students

    TEALS

    - 1 year 1 month

    Education

  • Journal Reviewer

    Taylor & Francis Online : Open Learning: The Journal of Open and Distance Learning

    - Present 7 years 7 months

    Education

  • Program Coordinator

    Roof For the Child (RFAC)

    - Present 9 years 7 months

    Education

    https://www.youtube.com/watch?v=vI9Z2gRmbc0

    Roof for a Child (RFAC) raises awareness and support for the infrastructure and lodging of children in the most rural parts of India, where education and awareness of its need are still dismally low. Roof for a Child has been nominated by Ben John, Chief Technology Officer, for the Xandr Cares $100k Challenge.

Publications

  • Design of Open Content Social Learning based on the Activities of Learner and Similar Learners

    International Journal of Distance Education Technologies

    Teaching and learning are increasingly taking advantage of the rapid growth in Internet resources, open content, mobile technologies and social media platforms. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. In an effort to close this gap, the authors designed and built an Open Content Social Learning (OCSL) system that compares different pedagogical strategies and algorithms intended to improve learning…

    Teaching and learning are increasingly taking advantage of the rapid growth in Internet resources, open content, mobile technologies and social media platforms. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. In an effort to close this gap, the authors designed and built an Open Content Social Learning (OCSL) system that compares different pedagogical strategies and algorithms intended to improve learning. Their results have shown increased effectiveness when recommending learning activities in a pedagogically appropriate order based on learning goals, historical learning preferences, and behaviors from other learners who had similar goals.

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  • COMPARATIVE ANALYSIS OF CURRENT METHODS IN SEARCHING OPEN EDUCATION CONTENT REPOSITORIES

    The Online Journal of Science and Technology

    The current generation of learners are living in a eConnected society where the technology and content are open. Open learning enables learners to be self-determined and interest-guided. To make online learning successful, it is critical that learners need effective ways of finding the appropriate learning resources. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. This study compares different features…

    The current generation of learners are living in a eConnected society where the technology and content are open. Open learning enables learners to be self-determined and interest-guided. To make online learning successful, it is critical that learners need effective ways of finding the appropriate learning resources. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. This study compares different features offered by the Open learning content search platforms, and analyzes the past one-year website usage metrics data to gather insights about the usage. This paper also discusses the gaps in the current Open Content search dilemma and proposes potential solutions.

  • Design of Open Content Social Learning that Increases Learning Efficiency and Engagement Based on Open Pedagogy

    The Turkish Online Journal of Educational Technology

    Due to the rapid growth in Internet resources, mobile technologies and social media, teaching and learning are increasingly adapting to the notion that 'content is open; learners are social'. The learning materials are open but effective learning is challenging due to the explosion of unstructured content on the web. The effectiveness of learning on the web largely depends on the relevancy of the content and the learner's engagement. This paper's objective is to develop an Open Content Social…

    Due to the rapid growth in Internet resources, mobile technologies and social media, teaching and learning are increasingly adapting to the notion that 'content is open; learners are social'. The learning materials are open but effective learning is challenging due to the explosion of unstructured content on the web. The effectiveness of learning on the web largely depends on the relevancy of the content and the learner's engagement. This paper's objective is to develop an Open Content Social Learning(OCSL) system, to compare different pedagogical strategies and algorithms on improving effective learning. This paper proposes an enhanced learner-centered online learning experience by matching the content based on learning goals, historical learning preferences and behaviors from other learners with similar goals to increase the learner interaction and engagement.

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  • Enhanced learner centered pedagogical strategy: Promoting STEM with underrepresented populations

    IEEE

    An efficient pedagogical strategy in an Open Social Learning environment is required for effective learning on the web. Increased collaboration among the learners and mentors makes the learning experience efficient. This paper proposes an enhanced Pedagogical strategy for searching content through the use of ontologies and the learner's profile. The proposed system makes use of ontologies and learner profiles for crawling, indexing and organizing content. The content is then filtered based on…

    An efficient pedagogical strategy in an Open Social Learning environment is required for effective learning on the web. Increased collaboration among the learners and mentors makes the learning experience efficient. This paper proposes an enhanced Pedagogical strategy for searching content through the use of ontologies and the learner's profile. The proposed system makes use of ontologies and learner profiles for crawling, indexing and organizing content. The content is then filtered based on the learner and "learner like" learners' profile to provide a rich Open Social Learning experience. Natural Language Processing is then used to semantically categorize the learning content. It has been shown that this proposed pedagogical strategy, using the ontologies and user profiles for search, Natural Language Processing for programmatic content categorization and graph database to identify learning styles of the underrepresented learners, provides an enhanced learner centered online learning experience.

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  • Open Social Learning

    IEEE

    Open Social Learning is an emerging research area that deals with leveraging open access to the learning content on the web and enabling social networking amongst the learners and mentors to make the learning experience efficient. This paper aims to capture the current direction of research carried out in the area of open social learning. Several published research work were reviewed in the field of Social Learning and Collective Intelligence. This paper intends to address the following three…

    Open Social Learning is an emerging research area that deals with leveraging open access to the learning content on the web and enabling social networking amongst the learners and mentors to make the learning experience efficient. This paper aims to capture the current direction of research carried out in the area of open social learning. Several published research work were reviewed in the field of Social Learning and Collective Intelligence. This paper intends to address the following three goals. (i) Summarize the flow of research and the popular issues that were most frequently addressed, in the last few years. (ii) Be a useful resource to understand the various approaches that were adopted and their boundaries. (iii) Suggest the future scope in a few aspects to extend the research further.

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Honors & Awards

  • OMMA award for Best Use of Artificial Intelligence

    https://www.mediapost.com/ommaawards/

    FIA recently participated in the 2017 re:Invent Nonprofit Hackathon. Through a collaboration with Nitor, the organization built a full-stack solution enabling the International Centre for Missing and Exploited Children to issue automated, life-saving alerts for missing children in 23 countries using artificial intelligence.

  • JBoss Innovator of the year - 2008

    JBoss

Organizations

  • IEEE

    Member

    - Present

  • Karunya University

    Advisory Committee Member - ICRESE13

    -

    http://www.karunya.edu/eee/ICRESE13/EEE%20ver%202/advisory.html

  • JBoss

    Advisory board member

    -

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