The Interactive Data Exploration and Analytics (IDEA) lab course offered at the UDE Social Computing Group focuses on the effective integration of techniques from human-computer interaction (HCI), information visualization, and machine learning to help users interactively explore and visualize data.

The aim of this semester's IDEA lab is to extend the Exploratory Learning Analytics Toolkit for Students (ELAS) platform with new applications to support UDE students in their learning activities. ELAS includes applications developed by students for students as part of student projects from previous editions of the Learning Analytics (LA) and Advanced Web Technologies (AWT) courses offered at the Social Computing Group.

Komedia and AI Students will work as a group on evaluating, re-designing, improving, further developing, and integrating the application NoteBot in the ELAS platform. NoteBot is a learnersourcing web application that enables students to co-create lecture notes, supported by generative AI models (e.g., ChatGPT). NoteBot was initially developed by Yusra Abdulrahman, Hla Abuhamra, Hadeel Saleh, and Hadil Khbaiz in the frame of the AWT course in summer semester 2023.

In the first few weeks of the lab, we will provide a general overview of the ELAS platform, introduce the Web technologies used in ELAS (e.g., React.js, Django, SQLite, Neo4j, Plotly), and give tutorials on how to get started with the project. There will be weekly project management meetings to answer your questions and guide you with additional materials. We will also have regular sessions where you will present the progress of your projects (ideas/concepts, prototypes, evaluation, demos, end product).

Grading for this lab will be based on the content and quality of the project (prototypes, code, demos, presentations) as well as your performance (project management, collaboration, class participation, creativity) during the project.