A Free and Open Dataset from a Prototypical Data-driven Study Assistant in Higher Education

Schrumpf, Johannes; Weber, Felix; Schurz, Katharina; Dettmer, Niklas; Thelen, Tobias

doi:10.5220/0011038800003182

Cited by 4 publications

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“…We analyze data from two datasets: The first dataset (P2) was generated over the run-time of the DSA's second prototype and is publicly available (Schrumpf et al, 2022). The second dataset (P3) was generated over the run-time of the DSA's third and final prototype.…”

Section: Discussionmentioning

confidence: 99%

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

2022

Proceeedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2022)

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Digital resources offer a vast assortment of educational opportunities for students in higher education. From 2018 to 2022, a digital study assistant (DSA), named SIDDATA, was developed at three German universities and consequently field-tested. One of the DSA's features is an AI-driven natural language interface for educational resource recommendation. This paper performs an analysis of the effectiveness of recommendations, by analyzing data generated over the course of two years of DSA usage. We find that although initial user interest is high, only a small percentage of users engage with the recommendation feature. Furthermore, we find that quality of recommendations was perceived as mixed to negative.

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Section: Discussionmentioning

confidence: 99%

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

2022

Proceeedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2022)

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“…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.…”

Section: Introductionmentioning

confidence: 99%

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

2022

Proceeedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2022)

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Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for hierarchical goal-setting (HGS) at the Bremen, Hannover, and Osnabrück universities from November 2021 to April 2022. The results show that 70% of students in the sample chose to get digital assistance for educational goal-setting, which is the highest interest rate among the nine assistance functions available. Of the 290 students who chose to use the assistant, only 10 completed the full assistive intervention, which equals only 3.4%. We conclude that we should improve the usability and user experience and reduce the interaction costs of the intervention.

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Building an Educational Social Media Application for Higher Education

Weber

Dettmer

Schurz

et al. 2022

Social Computing and Social Media: Applications in Education and Commerce

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A Free and Open Dataset from a Prototypical Data-driven Study Assistant in Higher Education

Cited by 4 publications

References 0 publications

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

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

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

Building an Educational Social Media Application for Higher Education

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