ELAI GLOBAL – October 23, 24 & 25

Panel 1

Advancing the Science of Collaboration through AI

Moderator: Nia Nixon, University of California

Speakers: Jessica Andrews-Todd, Carol Forsyth, Educational Testing Service, Yiwen Lin UCI Corey Bradly SMU

In the current globalized world, innovation in science and technology are vital for economic competitiveness, quality of life, and national security. This trend is accelerating the increasing reliance on virtual teams and their collaborative effort to solve complex environmental, social and public health problems. This panel will explore several pressing questions regarding the use of AI in advancing the science of collaboration.

Panel 2

Applications of AI in Education (LatAm)

Moderator: Margarita Ortiz

Speakers: Isabel Hilliger, Pontificia Universidad Católica de Chile, Lucas Silva, Miguel Molina-Cosculluela,

Recently, there has been great research interest in the application of artificial intelligence (AI) in education. This panel examines different applications of AI in Latin America. It gathers people from industry and academia, who will discuss applications used in both schools and higher education.

Panel 3 

We Should Know Better!: Strategies to Integrate AI into Learning, Teaching, and Evaluation

Moderator: Rob Moore

Speakers: Susan Hibbard, PhD Blueprint Test Prep, Andre Denham, PhD University of Alabama Chrishele Kingdom, PhD Detroit Public Schools Community District

AI is nothing new! We have been using AI from placing orders at fast food restaurants to getting money from ATMs. As educators, we have gone through other hype cycles and have figured out ways to integrate these new technologies into our instructional contexts systematically. AI is no different, and in this panel, we will engage the audience in a shift in focus from the anxiety around AI to actionable steps for integrating AI into learning, teaching, and evaluation contexts.

Panel 4

Large Language Models in Educational Assessment: Applications, Challenges and Future Trends

Moderator: TBA

Speakers: Dr. Mark Gierl, Professor University of Alberta
Dr. Okan Bulut University of Alberta, Dr. Jinnie Shin University of Florida,
Dr. Tahereh Firoozi University of Alberta, Dr. Seyma Nur Yildirim-Erbasli, Concordia University of Edmonton

Large language models (LLMs), such as OpenAI’s GPT-3, are increasingly being used in educational assessment to help evaluate students’ knowledge and skills. Some innovative applications of LLMs in educational assessment include automated essay scoring, automatic item and feedback generation, generation of learning materials, and conversation-based assessment. In this panel, we will talk about different applications of LLMs in educational assessment and then discuss how to overcome significant challenges jeopardizing the positive impact of LLMs on educational outcomes. Each panelist has extensive research experience working with LLMs and other types of language models in the context of educational assessment.

Panel 5

Practical adoption of AI in Education in Brazilian institutions

Moderator: Isabela Gasparini UDESC – Universidade do Estado de Santa Catarina

Speakers: Rafael Ferreira Mello CESAR/Universidade Federal Rural de Pernambuco (UFRPE),
Diego Dermeval Universidade Federal de Alagoas (UFAL),
Elaine Harada Universidade Federal do Amazonas (UFAM)

This panel will delve into the practical adoption of artificial intelligence (AI) in Brazil, specifically within basic and higher education institutions. The speakers will showcase case studies that exemplify the utilization of AI in various contexts, such as decision-making support for programming language instruction, feedback provision and public policy development. By exploring these case studies, attendees will gain a comprehensive understanding of how AI has been successfully integrated into educational settings in Brazil, empowering educators, students, and policymakers to leverage the potential of AI for enhanced learning experiences and informed decision-making.

Panel 6

Towards the adoption of Learning Analytics in Mexico

Moderator: Isabel Hilliger, Pontificia Universidad Católica de Chile

Speakers: Tomás Bautista Godínez, Universidad Nacional Autónoma de México,
Ricardo Pérez, Universidad de Guadalajara, México
Héctor G. Ceballos, Tecnológico de Monterrey, México

The adoption of Learning Analytics (LA) in Higher Education Institutions (HEIs) is still in early stages in Latin America. The use of educational data remains an unclear puzzle for many universities, which strive to provide students and professors with insights to better understand their own performance. Identifying the expectations of students, teachers and authorities is key to foster and support the adoption of LA at public and private universities. In this panel, three Mexican universities will discuss the findings of a mixed study conducted among their faculty, students and authorities to know their expectations and concerns regarding the adoption of this technologies in their respective universities.

Panel 7

Let’s Build Together: Techniques and Approaches for Engaging Stakeholders in AI Development

Moderator: Rob Moore

Speakers: Yukyeong Song University of Florida, Brian Abramowitz University of Florida, Ray Opoku University of Florida

In this panel, we will highlight techniques and approaches that the panelists have used to engage stakeholders in the development and support of AI initiatives. The rapid implementation of initiatives necessitates a collaborative approach to design and development to ensure that the stakeholders most impacted have their voices and opinions heard. During the panel, we will share our experiences from designing K-12 instruction to developing interactive museum exhibits.

Panel 8

Trends and Applications on Cyber-Physical Learning

Moderator: Luis Morán, IFE Living Lab, Tecnologico de Monterrey

Speakers: Kenneth Lo Ming Chee Singapore University on Technology and Design,
Sean Mcminn The Hong Kong University of Science and Technology, Genaro Zavala Tecnológico de Monterrey, Mexico

Cyber-Physical Learning (CPL) extends beyond hybrid learning where face-to-face learning experiences are simply combined with online learning experiences. Instead, CPL seeks to establish an integrated and seamless learning for both cyber and physical students, that would give flexibility and accessibility without sacrificing the joy, fun and intimacy of the classroom. CPL does so by including additional key factors within learning environments, such as information and educational technologies, learning analytics, pedagogical architectures, assessment methodologies, educational models, institutional policies, and data management. In this panel, our experts discuss current developments and future applications such as tele-presence, immersive learning environments, intelligent tutors, personalized learning, multimodal learning analytics, among others.

Panel 9

Generative AI as an Emergent Practice in First Year Writing

Moderator: TBA

Speakers: Dr. Stephen Monroe University of Mississippi, Dr. Angela Green University of Mississippi, Guy Krueger University of Mississippi, Marc Watkins University of Mississippi

The panel will discuss how members from the University of Mississippi’s Department of Writing and Rhetoric developed assignments for first-year writing students to explore AI-powered writing, reading, and research assistants. Panelists will share their assignments, approach to integrating AI within their teaching, and student reflections on how AI assistance impacted their learning.

Panel 10

AI and Leadership in Higher Education: Creating Momentum through Faculty Affinity Groups 

Moderator: Paige Ware (SMU)

Speakers: Jason Warner (SMU), Jennifer Culver (SMU), Squirrel Eiserloch (SMU), and Eric Godat (SMU)

The he panelists initiated a faculty affinity group on Generative AI in the weeks after the launch of ChatGPT3. In the last 9 months, the group has built faculty-driven initiatives to host discussion groups, provide workshops, create all-day symposia, offer weekly email updates, and generate university-wide syllabus statements for adoption. The panelists will discuss the effectiveness of such faculty-led inquiry and its impact on developing engagement around discussions about pedagogy and AI.

Panel 11

AI for Math Learning

Moderator: Candace Walkington (SMU)

Speakers: Andrew Lan UMass Amherst,Katie Bainbridge Rice University, Matt Joss Rice University, Candace Walkington SMU 

The panelists have been incorporating generative AI in their research, teaching, and practices of mathematics. In this panel, we are specifically interested in how AI can support middle school math learning, by assisting teachers, diagnosing errors, tagging elements of problems that may be difficult, and supporting students in personalizing problems to their interests.

Panel 12

AI-Empowered Immersive Platforms and Peer Supports to Help Young People’s Brain Health

Moderator: Lin Lin Lipsmeyer (SMU Simmons School of Education and Human Development)

Speakers: Eric Kildeback (UT Dallas Center for Engineering Innovation); Lori Cook (UT Dallas Center for Brainhealth); Eric Larson (SMU Lyle School of Engineering)

The panelists will discuss long-term collaborations in designing immersive learning platforms to facilitate brainhealth of the young people.

Panel 13

Artificial Intelligence in Education for Underserved Communities (AIED Unplugged)

Moderator: Ig Ibert Bittencourt (Federal University of Alagoas; Brazil; Harvard Graduate School of Education, US)

Speakers: Seiji Isotani (Harvard Graduate School of Education, US), Maria Mercedes Rodrigo (Ateneo de Manila University, Philippines) Paul Prinsloo (University of South Africa, South Africa) Cesar Collazos (Universidad del Cauca, Colombia)

AI has been considered by several educational stakeholders as a driving force of transformation to build back better after the worldwide decrease in students’ performances due to the extreme measures taken during the covid-19 pandemic. Although this movement has significantly promoted more AI innovations in Education, it also highlights the clear need for a more inclusive AIED. Since AI strongly depends on digital devices and internet connectivity, AIED has become the new source of educational inequality. The goal of this panel is to shed light on the need for a more inclusive approach of AI in Education to tackle the challenges and needs of underserved communities.

Panel 14

Ethical Considerations and Emerging Technologies in AIED: Exploring Challenges, Opportunities, and the Way Forward

Moderator: Ramkumar Rajendran (IIT Bombay, India)

Speakers: Kaushal Kumar Bhagat, (IIT Kharagpur, India) Shitanshu Mishra, (UNESCO MGIEP, India) Rwitajit Majumdar, (Kyoto University, Japan)

This panel discussion explores the ethical considerations surrounding artificial intelligence (AI) and the responsible custodianship of data in the age of AI. With the rapid advancement of AI technology, it has become imperative to address the ethical implications associated with handling data in AI systems. The panel will explore the intersection of ethics, AI, and data custodianship. Key topics include the significance of transparency and consent in data collection, the protection of privacy and personal information, and the need to mitigate algorithmic biases for fair and unbiased use of data.

Panel 15

Enhancing Intelligent Tutoring Systems (ITS) with LLM 

Moderator: Xiangen Hu (University of Memphis)

This panel seeks to uncover the untapped possibilities and future opportunities inherent in the integration of Large Language Models (LLMs), such as GPT-4, with Intelligent Tutoring Systems (ITS). Although ITS have demonstrated success in delivering personalized learning experiences, they often fall short in areas like natural language understanding, content generation, and the ability to adapt in real-time. LLMs have the potential to fill these gaps through their capacity for generating nuanced, context-sensitive responses. To make these theoretical benefits more concrete, the panel will offer several hands-on examples that illustrate the advantages and functionalities of combining LLMs with ITS. Assembling a group of thought leaders from the realms of educational technology, machine learning, and educational theory, the panel aims to drive a focused discussion on future use-cases, personalization of content, real-time evaluation metrics, and ethical questions including data privacy and potential algorithmic bias. The overarching goal is to catalyze a cross-disciplinary conversation aimed at shaping the next generation of smarter, more inclusive, and ethically conscientious educational systems.

Panel 16

How AI is Empowering Adult Learning and Online Education

Moderator: Chris Dede (Harvard Graduate School of Education)

Speakers: Scott Crossley (Vanderbilt University),  Ashok Goel (Georgia Tech), Vrinda Nandan (Georgia Tech)

Given changes in technology and in the global digital economy, workforce upskilling and reskilling is a challenge for every country. Online education personalized to each adult learner is essential for realizing a bright future for people in every region and occupation. Marginalized groups in particular need learning customized to their needs and aspirations. This session will describe four types of advances the National AI Institute for Adult Learning and Online Education (AI-ALOE) is developing: the controlled usage of large language models (generative AI), product management and architectures enabling sophisticated analysis of large datasets, AI techniques and tools that enable conversational courseware and personalization of learning at scale, and realization at scale of the Community of Inquiry model for online learning.