Recent News & Events
Upcoming Conferences
International Conference on Intelligent Tutoring System 2023
June 2-5, 2023 - Corfu, Greece,
ITS2023 is the upcoming Conference of the series of Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence, and Deep Learning in Tutoring and Education. ITS2023 will be held in Corfu, Greece, from June 2 to June 5, 2023. ITS is evolving to a new concept of Artificial Intelligence which can be found in various disciplines and can serve human education and well-being.
International Conference on Artificial Intelligence in Education 2023
July 3-7, 2023 - Tokyo, Japan
The AIED Society organizes the AIED conference, which is aimed at advancing the science and engineering of intelligent human-technology ecosystems that support learning. This year's theme is "AI in Education for Sustainable Society." A sustainable society is driven by the principle of realizing peace and prosperity for all people and the planet with an inclusiveness that “leaves no one behind.”
Educational Data Mining Conference 2023
July 11 - 14, 2023 - Bengaluru, India
Educational Data Mining is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. These data may originate from various learning contexts, including learning and information management systems, interactive learning environments, intelligent tutoring systems, educational games, and data-rich learning activities. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners.
Recent Events & News
The Learner Data Institute. Dr. Rus is a principal investigator. (Currently Funded Amount: $2,584,309.00; 2019-2023; Phase 2: 15 million for 5 years – to be applied for) The goal of the project is to lay the foundations of a Data Science institute whose mission is to harness the data revolution to further our understanding of how people learn, how to improve adaptive instructional systems (AISs), and how to make emerging learning ecologies that include online and blended learning with AISs more effective, efficient, engaging, and affordable. https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934745&HistoricalAwards=false).
Dr. Bernacki is a Lead Principal Investigator; SOE-Justeen Tarbet Distinguished Fellowship, $15,000. (July 1, 2021 - June 30, 2024).
Investigating techniques that couple Markov Logic and Deep Learning with applications to discover strategies to improve STEM learning (Amount: $413,482.00.00, 2020-2023 The goal of this project is to develop novel techniques to integrate different but complementary approaches in artificial intelligence (AI). The project combines the strengths of Deep Neural Networks (DNNs) and Markov Logic Networks (MLNs) to address key shortcomings of those techniques when used by themselves. https://www.nsf.gov/awardsearch/showAward?AWD_ID=2008812&HistoricalAwards=false).
Dr. Bernacki is a Lead Principal Investigator; "Collaborative Research: Improving Undergraduate Student"; UNLV, $158,945. (Prime Project: $990,386, NSF). (October 1, 2018 - September 30, 2023).
Dr. Rus received an NSF award entitled Investigating techniques that couple Markov Logic and Deep Learning with applications to discovering strategies to improve STEM learning (Amount: $413,482.00.00, 2020-2023; https://www.nsf.gov/awardsearch/showAward?AWD_ID=2008812&HistoricalAwards=false).
"Supplement: DCL-Postdoctoral Scholar to Mitigate COVID Impact on Transformative Undergraduate Self-regulated STEM Learning and Education Research (DRL 1920756)", Bernacki, M., Lead Principal Investigator; NSF, $226,523. (February 1, 2022 - January 31, 2023).
"Transformative Undergraduate Self-Regulated STEM Learning", Bernacki, M., Lead Principal Investigator; Greene, J., Co-Principal Investigator; NSF, $707,962. (September 1, 2019 - August 31, 2022).
