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Keynote

AI for Personalized Education

Speaker

Mukesh Mohania (Professor, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi))

Biography

Keynote Image Mukesh Mohania joined IIIT Delhi as a Professor in November 2019. He served as a Dean (Innovation, Research and Development) from July 2020-June 2023 at IIIT Delhi. Prior to joining the IIITD, he has held senior technical roles in IBM Research in India and Australia. He served as a Chief Architect of IBM Watson Education. His innovations center on AI for Education, Information (structured and unstructured data) integration, and developing complex systems and applications in these areas, particularly in Education and Financial sectors. Over the course of his career, he has led a succession of successful projects that produced technology and products in use across the industry today, as well as influential and frequently cited technical work and patents. He holds 60+ granted patents and published 120+ technical papers in International Conferences and has widely participated in Industry forums. For these accomplishments, IBM recognized him as an “IBM Distinguished Engineer” (2013), “Master Inventor” (2009), “Member of IBM Academy of Technology” (2010), "Best of IBM" (2014). He has received several IBM corporate and research level awards, such as, "Excellence in People Management", "Outstanding Innovation Award", "Technical Accomplishment Award", "Leadership By Doing", and many more. He is a founding project director of DST sponsored Technology Innovation Hub (TIH) on ‘Cognitive Computing and Social Sensing’ at IIIT Delhi and received Rs100Cr (USD12M) for 2021-2025. He has held several visible positions, like ACM Distinguished Scientist (2011-), VLDB Conference Organizing Chair (2016), DASFAA General- co-chair (2022), ER PC co-chair (2022), ACM India Vice-President (2015-17), ACM Distinguished Service Award Committee chair (2017-2018), Adjunct Professors/Industrial R&D board at various top universities in India and Australia, and many more, and has received IEEE Meritorious Service Award and ACM Outstanding Service Award.

Abstract

Online courses and learning systems have gained tremendous popularity over the last few years. While their ease of access and availability make them a very useful medium for knowledge sharing and learning, they do not keep the learners and their learning abilities in mind. The “one size fits all” approach to learning content and the question paper does not work in a large virtual classroom consisting of diverse students with different skill profiles, learning styles, aptitude and capabilities. In a traditional classroom, teachers who interact closely with students are in a position to evaluate the pace and depth of the curriculum being taught and can also suggest learning content to students not being able to cope with the general classroom teaching. Such suggestions and guidance are absent in current online learning systems. In this talk, we aim to address how AI can help in (1) making content smarter through learning content analytics and automatic content tagging, (2) generating the diverse, but semantically related, questions for evaluating the students’ knowledge, (3) assisting in short answers evaluation, and finally (4) understanding the students’ learning style/capacity through learning data analytics, thus enabling the adaptive and personalized education on Big Data platform.

Program

8:55am ~ 9:00am Opening
9:00am ~ 10:30am Session 1
  • 1355 [Research Paper] Audio-guidenced Visual Knowledge Representation
    Fei Yu (Zhejiang Lab); Zhiguo Wan (Zhejiang Lab); Yuehua Li (Zhejianglab)
  • 1338 [Research Paper] A Meta-Learning Approach for Category-aware Sequential Recommendation on POIs
    Jia-Ling Koh (National Taiwan Normal University)
  • 1348 [Research Paper] Yes-No FLowchart Geneneration for Interactive Exploration of Personalized Health Improvement Actions
    Naoya Oda (Shizuoka University); Yoshiyuki Shoji (Shizuoka University); Jin Hyuk Kim (Shizuoka University); Yusuke Yamamoto (Nagoya City University)
  • 1342 [Work-in-Progress Paper] Automatic Post-Editing of Speech Recognition System Output Using Large Language Models
    Sheng Li (National Institute of Information & Communications Technology (NICT)); Jiyi Li (University of Yamanashi); Yang Cao (Tokyo Institute of Technology)
  • 1352 [Work-in-Progress Paper] Real Estate Information Exploration in VR with LoD Control by Physical Distance
    Yuki Nakayama (University of Hyogo); Yuuya Tsuda (University of Hyogo); Yoshiyuki Shoji (Shizuoka University); Hiroaki Ohshima (University of Hyogo)
    • 10:30am ~ 11:00am Coffee Break
    11:00am ~ 12:30pm Session 2
  • 1346 [Research Paper] Boundary Point Detection Combining Gravity and Outlier Detection Methods
    Vijdan Khalique (University of Tsukuba); Hiroyuki Kitagawa (University of Tsukuba); Toshiyuki AMAGASA (University of Tsukuba)
  • 1358 [Research Paper] Acceleration of Synopsis Construction for Bounded Approximate Query Processing
    Tianjia Ni (Nagoya University); Kento Sugiura (Nagoya University); Yoshiharu Ishikawa (Nagoya University); Kejing Lu (Nagoya University)
  • 1347 [Work-in-Progress Paper] Investigating Evidence in Sentence Similarity using MASK in BERT
    Kanako Nakai (University of Hyogo); Yuka Kawada (University of Hyogo); Takehiro Yamamoto (University of Hyogo); Hiroaki Ohshima (University of Hyogo)
  • 1361 [Work-in-Progress Paper] Generating Achievement Relationship Graph between Actions for Alternative Solution Recommendation
    Tsukasa Hirano (Aoyama Gakuin University); Yoshiyuki Shoji (Shizuoka University); Kouzou Ohara (Aoyama Gakuin University, Japan); Takehiro Yamamoto (University of Hyogo)
    • 12:30pm ~ 13:30pm Lunch
    13:30pm ~ 14:30pm Invited Talk: AI for Personalized Education
    Speaker: Mukesh Mohania
    14:30pm ~ 15:00pm Session 4
  • 1359 [Work-in-Progress Paper] Review Search Interface Based on Search Result Summarization Using Large Language Model
    Marino Fujii (University of Hyogo); Yuka Kawada (University of Hyogo); Takehiro Yamamoto (University of Hyogo); Takayuki Yumoto (University of Hyogo)
  • 1360 [Work-in-Progress Paper] Question Answer Summary Generation from Unstructured Texts by Using LLMs
    Yuuki Tachioka (Denso IT Laboratory)
    • 15:00pm ~ 15:30pm Coffee Break
    15:30pm ~ 17:00pm Session 5
  • 1344 [Research Paper] Voices of Asynchronous Learning Students: Revealing Learning Characteristics through Vocabulary Analysis of Notes Tagged in Videos
    Xiaonan Wang (Kobe University); Yancong Su (School of Design Art, Xiamen University of Technology); Yi Sun (Graduate School of Information Technology, Kobe Institute of Computing); Takeshi Nishida (Kobe University); Kazuhiro Ohtsuki (Kobe University); Hidenari Kiyomitsu (Kobe University)
  • 1353 [Research Paper] Comparative Analysis with Multiple Large-Scale Language Models for Automatic Generation of Funny Dialogues
    Amon Shimozaki (Konan University); Yousuke Tsuge (Konan University); Tatsuya Kitamura (Konan University); Tomohiro Umetani (Konan University); Akiyo Nadamoto (Konan University)
  • 1349 [Work-in-Progress Paper] Effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in Computer Programming Education: A Case Study
    Thanh Ha Nguyen (Kobe University); Yi Sun (Kobe Institute of Computing); Takeshi Nishida (Kobe University); Xiaonan Wang (Kobe University); Kazuhiro Ohtsuki (Kobe University); Hidenari Kiyomitsu (Kobe University)
  • 1350 [Work-in-Progress Paper] Query Expansion in Food Review Search with Synonymous Phrase Generation by LLM
    Arisa Ashizawa (University of Hyogo); Ryota Mibayashi (University of Hyogo); Hiroaki Ohshima (University of Hyogo)
  • 1351 [Work-in-Progress Paper] Generating News Headline Containing Specific Person Name
    Taiga Sasaki (University of Hyogo); Takehiro Yamamoto (University of Hyogo); Yoshiyuki Shoji (Shizuoka University); Takayuki Kuge (University of Hyogo); Hiroaki Ohshima (University of Hyogo)
    • 17:00pm ~ 17:05pm Closing