A User-Focused Approach to Developing a Digital Study Assistant Through a Mixed Method Design

On the Effectiveness of an Ai-Driven Educational Resource Recommendation System for Higher Education

“…When users engage with the DSA, they are able to activate features they are interested in. As reported in (Schurz et al, 2021), the "professional interests" feature enjoyed a high relative activation rate for prototype 2 of the SIDDATA DSA. Analyzing data from P3, we observe a similar phenomenon.…”

“…A previous study (Schurz et al, 2021) investigated the effectiveness of features based on their activation/deactivation/non-interaction ratio. The study showed that the "professional interests" feature enjoyed a high popularity in terms of activation rate.…”

A Digital Study Assistant for Hierarchical Goal Setting Companion Faces the First Real Users

“…The SIDDATA 1 project, funded as part of the "Innovation Potentials of Digital Higher Education" funding line, the Federal Ministry of Education and Research since November 1, 2018, decided to place individual educational goals at the center and develop DSAs, which assist proactive learners in goal pursuit. Within annual agile software development cycles, we developed a series of assistant prototypes (Schurz, K. et al 2021, and we trained a Neural Network to match educational resources and learners (Schrumpf, J. et al 2021), and published datasets from field experiments with prototypes (Schrumpf, J. et al 2022. A central feature of the digital study assistant prototype we published under MIT license 2 , is the modular structure, which allows for the development of particular features with different functionalities that appear to the users alongside each other in a navigation bar.…”