Agenda + Materials

[All times are Central Time (UTC−05:00) in the USA.]

September 21-23, 2020 — online

Agenda

Monday, September 21, 2020

3:00 - 3:15PM: Welcome & Opening Remarks: Meeting Overview, LDI Progress Report, & Roadmap (Vasile Rus & Stephen Fancsali) [Presentation]

3:15 - 4:15PM: Individual "Rapid" Introductions (30 seconds/attendees)

• What LDI tasks have you been working on since our previous meeting?

• What do you hope to get out of this meeting?

4:15 - 4:30PM: Break

4:30 - 5:00PM: Review of Output from the First Annual Meeting Sessions (Drew Hampton) [Presentation]

Tuesday, September 22, 2020

9:00 - 9:15AM: Welcome & Overview (Drew Hampton & Chip Morrison)

• Goal for the day: Learn more about LDI Concrete Tasks, how the teams plan to integrate feedback received so far, provide further feedback to improve the Concrete Tasks, and express interest in being involved in implementing suggestions.

• Driving Questions: How can participants improve concrete task solutions with science convergence? How can we make our individual work more collaborative? How can we ensure that individual contributions yield collective rewards?

9:15 - 10:00AM: Concrete Task Presentations Session #1a

• ENGAGE SmartDesk & SmartClassroom: An IoT supported Data Collection System for Tracking Student Behavior Across time in Public Education (L. Casey & S. Elswick) [Presentation]

• AutoTutor for Adult Reading Comprehension Training (A. Graesser, J. Sabatini, X. Hu, S. Chen, Z. Cai) [Presentation]

• Exploring and Assessing the Development of Students’ Argumentative Writing Skills (J. Sabatini, A. Graesser, X. Hu, V. Rus)

• TalkShop (D. Morrison, A. Hampton) [Presentation]

10:00 - 10:15AM: Break

10:15 - 11:00AM: Concrete Task Presentations Session #1b

• Validating a Framework for Learning Experience Design (A. Tawfik)

• Context-aware personalized recommender models by utilizing users’ wearables, IoTs, and smart devices at edge implemented with transfer learning (B. Morshed)

• Autoencoders for Educational Assessment (D. Bowman) [Presentation]

• Joint Inference for Student Strategy Prediction (D. Venugopal) [Presentation]

11:00 - 11:15AM: Break

11:15AM - 12:00PM: Concrete Task "Recruitment Session" #1

• Participants are assigned to Zoom breakout sessions with concrete task leaders for each of the 8 tasks presented in Sessions #1a-b.

• Driving Questions: How can the approach to the concrete task be improved? What are significant opportunities for convergence with other concrete tasks? How do the tasks relate to a long-term vision for the global learning ecosystem? In which task(s) would you like to be involved?

12:00 - 1:00PM: Lunch Break

1:00 - 1:45PM: Concrete Task Presentations Session #2a

• Automated Methods to Use Learner Data to Infer and Improve Domain Models of Learning (P. Pavlik)

• Scaling Empirical Refinement of Domain Models & Instructional Design (S. Fancsali) (Presentation)

• Extracting Domain Models from Textboks for Instruction and Assessment (A. Olney) (Presentation)

1:45 - 2:00PM: Break

2:00 - 2:45PM: Concrete Task Presentations Session #2b

• Investigate AI Methods to Support Accurate Root Cause Analysis of Learner Data (B. Sottilare)

• Data Coding Tool (Z. Cai & D. Shaffer)

• Systematically Evaluate Adaptive Instructional Systems (X. Hu, Z. Cai, A. Graesser, K. Shubeck, L. Zhang, G. Shi)

• Using Latent Transition Analysis (LTA) to Flag Adaptive/Maladaptive Changes in Student Motivation Profiles Over Time: Signaling for Teacher Intervention (C. Mueller, L. Harrell-Williams, S. Fancsali, S. Ritter) [Presentation]

2:45 - 3:00PM: Break

3:00PM - 3:45PM: Concrete Task "Recruitment Session" #2

• See Concrete Task "Recruitment Session" #1, above.

3:45 - 4:00PM: Day #2 Closing Remarks (Vasile Rus)

Wednesday, September 23, 2020

9:00 - 9:15AM: Introduction to Day #3 Morning Theme: Investment Opportunities (Vasile Rus & Stephen Fancsali)

9:15 - 10:15AM: Expert Panel Investment Opportunities Presentations

• Leaders of each of the five LDI Expert Panels pitch investment opportunities developed by the panels in their areas of expertise.

  • Learning Science

  • Learning Engineering

  • Data Science

  • K-12 Education

  • Human-Technology Frontier

10:15 - 10:30AM: Break

10:30 - 11.25AM: Investment Opportunities Breakout Session

• Approach: Attendees are pre-assigned to heterogeneous groups (representing a mix of expertise) for Zoom breakout sessions in which the Nominal Group Technique and collaboration tools to identify the "top five" investment opportunities for a future "Phase 2" Learner Data Institute.

• Driving Question: What portfolio of investment opportunities represent transformative avenues for a future "Phase 2" Learner Data Institute?

11:25 - 11:35AM: Break

11:35 - 12:25PM: Corporate Partner Presentations (10 minutes/partner)

• Age of Learning

• Gooru

• SoarTech

• WorkBay

• Yixue Education / Squirrel AI

12:25 - 1:30PM: Lunch Break

1:30 - 1:40PM: Introduction to Day #3 Afternoon Theme: "Mid-course Corrections" (Vasile Rus & Stephen Fancsali)

• In what concrete ways can we improve our structure, processes, and communication methods to better achieve the LDI's mission?

1:40 - 2:00PM: "Mid-Course Corrections" Breakout Session

• Participants meet in pre-assigned, heterogeneous groups (representing a mix of expertise) for Zoom breakout sessions in which the Nominal Group Technique is used to identify “top three” ways of improving LDI structures, processes, methods of communication, etc.

2:00 - 2:10PM: Break

2:10 - 2:30PM: "Mid-Course Corrections" Report Out to Full Group

• Leaders of each breakout session report their "top three" suggestions to the group as a whole.

2:30 - 3:00PM: LDI Participant "Will Do's"

• Individual participants briefly voice what they "will do" as a part of their participation in the LDI in the coming months.

3:00 - 3:15PM: Closing Remarks (Vasile Rus)

• Thank you to meeting attendees and LDI participants. Expectations and plans for the coming months are described.