10 Fakultät Wirtschafts- und Sozialwissenschaften

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/11

Browse

Filters

2023 - 20242

Settings

Institute: search.filters.UBSInstitut.Institut für ErziehungswissenschaftSubject: search.filters.subject.004

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    ItemOpen Access
    BeeLife : a mobile application to foster environmental awareness in classroom settings
    (2024) Stock, Adrian; Stock, Oliver; Mönch, Julia; Suren, Markus; Koch, Nadine Nicole; Rey, Günter Daniel; Wirzberger, Maria
    Introduction: Significant threats to our environment tremendously affect biodiversity and related gains. Particularly wild bees actively contribute by pollinating plants and trees. Their increasing extinction comes with devastating consequences for nutrition and stability of our ecosystem. However, most people lack awareness about those species and their living conditions, preventing them to take on responsibility. Methods: We introduce an intervention consisting of a mobile app and related project workshops that foster responsibility already at an early stage in life. Drawing on principles from multimedia learning and child-centered design, six gamified levels and accompanying nature-based activities sensitize for the importance of wild bees and their role for a stable and diverse ecosystem. A pilot evaluation across three schools, involving 44 children aged between 9 and 12, included a pre-, post-, and delayed post-test to inspect app usability and learning gains. Results: Most children perceived the app as intuitive, engaging, and visually appealing, and sustainably benefited from our intervention in terms of retention performance. Teacher interviews following the intervention support the fit with the envisioned target group and the classroom setting. Discussion: Taken together, the obtained evidence emphasizes the benefits of our intervention, even though our sample size was limited due to dropouts. Future extensions might include adaptive instructional design elements to increase observable learning gains.
  • Thumbnail Image
    ItemOpen Access
    Decoding mental effort in a quasi-realistic scenario : a feasibility study on multimodal data fusion and classification
    (2023) Gado, Sabrina; Lingelbach, Katharina; Wirzberger, Maria; Vukelić, Mathias
    Humans’ performance varies due to the mental resources that are available to successfully pursue a task. To monitor users’ current cognitive resources in naturalistic scenarios, it is essential to not only measure demands induced by the task itself but also consider situational and environmental influences. We conducted a multimodal study with 18 participants (nine female, M = 25.9 with SD = 3.8 years). In this study, we recorded respiratory, ocular, cardiac, and brain activity using functional near-infrared spectroscopy (fNIRS) while participants performed an adapted version of the warship commander task with concurrent emotional speech distraction. We tested the feasibility of decoding the experienced mental effort with a multimodal machine learning architecture. The architecture comprised feature engineering, model optimisation, and model selection to combine multimodal measurements in a cross-subject classification. Our approach reduces possible overfitting and reliably distinguishes two different levels of mental effort. These findings contribute to the prediction of different states of mental effort and pave the way toward generalised state monitoring across individuals in realistic applications.