THISuccessAI

Academic Success through AI-supported learning paths

Technische Hochschule Ingolstadt (THI) is being funded by the programm „Hochschullehre durch Digitalisierung stärken“(Strengthening University Teaching Through Digitization) for the period of 2021 to 2024 to implement the THISuccessAI project. The project aims to significantly increase the student’s success in STEM degree programs through individualized learning paths. To this end, the university's AI is used to collect student’s learning and teaching information via learning analytics, evaluate it via pattern recognition and customize individualized learning paths from it. These are designed with (digital) teaching and learning units, among other things. A dashboard visualizes the learning status for students and lecturers. The project includes the creation of AI-driven tools that continuously evolve through further data enrichment, as well as the creation of digital learning nuggets for the design of the individualized learning paths. After the three-year development and implementation phase focusing on test subjects, the project will be extended to all THI subjects and programs.

 

Building AI-powered learning pathways using learning analytics

Project cluster

Technology Cluster

Subproject Learning Analytics

In the Subproject "Learning Analytics", the diverse data related to the learning process is subjected to systematic analysis and evaluation, considering data protection and ethical aspects. The aim is to assess the learner’s level of competence, to evaluate the individual impact of didactic methods and to give recommendations and prognoses for the design of learning paths..

People involved:

  • Prof. Dr. Munir Georges (Language and Text Comprehension)
  • Prof. Dr. Sören Gröttrup (Machine Learning and Statistics)
  • Prof. Dr. Stefanie Schmidtner (Sustainable Urban Development and Artificial Intelligence)
  • Kai Hartung (Data Analyst)
  • Di Wu (Data Analyst)

 

Subproject Platform- and Tool - Development

In the Subproject "Platform and Tool Development", the technical foundation for the collection, description and provision of the data streams previously obtained in the Subproject 1.1. will be created. According to the generation of individual learning paths in the LMS Moodle, the Subproject develops user-friendly and partially customized tools, such as a dashboard for students and teachers, an editor for the simple creation of learning nuggets, a Learning Companion plug-in to improve networking and exchange opportunities between students, and a chatbot (Thim) as a learning assistant.

People involved:

  • Prof. Dr. Sebastian Apel (Programming and Software Engineering)
  • Prof. Dr. Hans-Michael Windisch (Computer Engineering and Software Engineering)
  • Prof. Dr. Christan Locher (Digital Business)
  • Sambit Mallick (Chatbot Developer)
  • Manjula Gangisetty (Web Developer AI)
  • Tanyo Dietz (UX Designer)
Didactics Cluster

People involved:

  • Prof. Dr. Katherine Roegner (Higher Education Didactics of Mathematics)
  • Prof. Dr. Bernhard Glavina (Computer Engineering and Electrical Engineering)
  • Prof. Dr. Robert Gold (Software Engineering und Language Programming)
  • Prof. Dr. rer. nat. Franz Regensburger (Practical Computer Science and Programming)
  • Stefanie Boldt (Scientific Employee for Statistics)
  • Alen Jurisic (Scientific Employee for Electrical Engineering)
  • Malina Lang (Scientific Employee for the STEM modules)
  • Philipp Söchtig (Scientific Employee for Instructional Design)
  • Florian Beil (Scientific employee for the STEM modules)

 

Subproject Individual Learning Paths for Static Groups (Stage I)

In the Subproject "Individual Learning Paths for Static Groups (Stage I)" the individualization of learning paths in the subjects Statistics, Mathematics, Electrical Engineering and Programming, for partially automated defined groups or learning styles, is carried out. The learning paths are designed using various placement tests, as well as pattern recognition. They are supported by learning nuggets tailored to learning styles, as well as dialog offers of the digital learning assistant "Thim".

 

Subproject Individual Learning Paths for Static Groups (Stage II)

In the Subproject "Individual Learning Paths for Static Groups (Stage II)", built on the results of Stage I, the fixed learning styles are successively dissolved and transferred into individualized AI-supported learning paths. In addition, the learning assistant "Thim" will be further developed, and the learning nuggets will be made more flexible.

Organization and Transfer Cluster

Subproject Project organization

In the Subproject "Project Organization", the structures for a successful project implementation are established. Technical and didactic demands on the project are taken into account and quality is ensured in the long term by means of an accompanying evaluation.   

People involved:

  • Simone Schmidt (Project Management)

 

Subproject Transfer

In the Subproject "Transfer", innovative exchange and participation formats are realized aiming an internal and external knowledge transfer on "AI and university teaching", e.g. the event of the "Digital Teaching Day" as well as the "Hackathon". Furthermore, data protection and ethical issues are clarified there.

People involved:

  • Prof. Dr. Christian Stummeyer (Business Informatics und Digital Commerce)
  • Barbara Rehr (Data Protection)

Upcoming events

  • Tag der digitalen Lehre 2024 (12.06.2024)

Latest News

Hochschulinformationstag 2024

The project THISuccessAI was represented with an interactive stand at THI's University Information Day 2024 on the campus Ingolstadt  and, for the… more
Exchange on digital teaching: The THI and the TUM in conversation. (Photo: THI)

The TUM as a guest at the THI

Members of the scientific institution ProLehre (TUM) met with the THISuccessAI project team on July 10th for networking in the field of digital… more

Day of Digital Teaching 2023

The Day of Digital Teaching took place on Wednesday, May 10, 2023 on THI's campus and attracted numerous participants once again. Fortunately, the… more
Person mit VR-Brille

Future skills for the next generation of students

Artificial intelligence (AI) has already become an integral part of our everyday lives. How is AI changing the way we study and work at universities?… more

Hochschulinformationstag 2023

The THI-SuccessAI project was presented at the THI University Information Day, on March 25, 2023, with an interactive booth and an entertaining and… more

Project management

Prof. Dr. Katherine Roegner
Phone: +49 841 9348-2544
Room: A226
E-Mail:
Vice President for Teaching and Students
Prof. Dr.-Ing. Hans-Joachim Hof
Phone: +49 841 9348-2526
Room: D021
E-Mail:
Prof. Dr. Sebastian Apel
Chief Information Officer, Programme director Cloud Applications und Security Engineering M. Sc.
Prof. Dr. Sebastian Apel
Phone: +49 841 9348-5176
Room: A128
E-Mail:

About the Sponsor

With its program "Hochschullehre durch Digitalisierung stärken", the "Stiftung Innovation in der Hochschullehre" is funding a total of 139 project proposals from colleges and universities over the next few years, including 115 individual and 24 collaborative applications, with a total funding volume of up to €330 million.