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Digitale Kommunikation und Kooperation in der Schule: Nutzung von Messengern und Videokonferenzen im Vergleich

Bastian, Jasmin; Biller, Simon ; Groß-Mlynek, Lena; Händel, Marion (2025)

Herbsttagung der Sektion Medienpädagogik der DGfE in Nürnberg.


Peer Reviewed

Entwicklung des Selbstlernkurses „Videokonferenznutzung zur kollegialen Kommunikation und Kooperation“

Biller, Simon ; Händel, Marion (2025)

Herbsttagung der Sektion Medienpädagogik der DGfE in Nürnberg.


Peer Reviewed
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Who is savvy about digital ethics? Differences between teacher education, law, and computer science students

Händel, Marion; Berges, Marc-Pascal; Gläser-Zikuda, Michaela; Kammerl, Rudolf...

Education and Information Technologies 2025.
DOI: 10.1007/s10639-025-13714-2


Open Access Peer Reviewed
 

Learning in the digital world requires not only technological skills for using digital tools but also ethical skills to critically reflect on (in)adequate digital media use and potential negative consequences. These skills are particularly crucial in professions dealing with public welfare and societal issues. Inter alia, those are teachers who educate the youth, legal professionals who judge (il)legal behavior regarding media, or computer scientists who bear responsibility when developing algorithms. Accordingly, higher education students studying teacher education, law studies, or computer science studies should develop ethical skills for the digital world. This study examined how higher education students perceive problematic media behaviors and which digital competences they regard relevant for ethical issues. In addition, the study investigated whether students of teacher education, law studies, and computer science studies differ in their perceptions. To this end, an online survey with N = 461 participating students was conducted. Study results indicated that higher education students perceived problematic media behaviors as such with posting inappropriate content identified as the most problematic. Furthermore, students considered several digital competences as relevant for ethical issues with protecting and acting safely as most relevant. In-depth analyses uncovered subject-specific differences with computer science students being most ethically savvy, albeit differences were only of small effect size. The study provides valuable insights into the intersection of digital competences, ethical considerations, and academic disciplines. In the future, longitudinal and training studies will help to understand how differences emerge and whether students of different study subjects benefit from digital ethics training.

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Does the AI agree? Inter-rater agreement in learning diary evaluation

Naujoks-Schober, Nick; Reinhold, Lhea; Händel, Marion (2025)

14th Conference of the Media Psychology Division (DGPs) in Duisburg.


Peer Reviewed

Innovatives ökologisches und ökonomisches Konzept für den Weiterbetrieb von Biogasbestandsanlagen unter Berücksichtigung fortschrittlicher Biogasaufbereitungsmethoden mit optimierter CO2-Reduzierung für verschiedene Betriebsmodell

Fichtner, Johannes; Ferchau, Erik; Böhm, Sven; Ninow, Jan; Zobjeck, Aljoscha ...

Conference Proceedings 9. FNR/KTBL Kongresses „Biogas in der Landwirtschaft – Stand und Perspektiven“, Stuttgart 2025, 208 - 210.


 


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Implementation of a Smart Grid in an Operation-independent Simulation Model

Stromberger, Julian; Dettelbacher, Johannes; Buchele, Alexander (2025)

Simulation Notes Europe 35 (3), 143-147.
DOI: 10.11128/sne.35.tn.10744


Open Access Peer Reviewed
 

This study describes the development of an operation-independent simulation model for electrified die-casting foundries which use a smart grid system to cover their energy requirements. The model uses real weather and electricity price exchange data for the simulation period. It can be used to determine and compare electricity costs for production at specific times of day and year, as well as the economic efficiency of different photovoltaic (PV) system and electricity storage variants. It also enables the proportion of different energy sources for each configuration to be analysed. This can be carried out using the model for locations throughout Germany. Additionally, this paper presents exemplary simulation studies that demonstrate the model’s wide range of applications. The results provide an initial overview of the potential savings and optimisation. In the future, the model will provide a basis for determining optimum plant layouts and production times using simulation-based optimisation.

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Simultaneous Reductions in NOx Emissions, Combustion Instability, and Efficiency Loss in a Lean-Burn CHP Engine via Hydrogen-Enriched Natural Gas

Fichtner, Johannes; Ninow, Jan; Kapischke, Jörg (2025)

Energies 2025 (18), Issue 16.
DOI: 10.3390/en18164339


Peer Reviewed
 

A systematic sequence of materials was investigated to develop phytic-acid (Phyt)–based flame retarded poly(lactide acid) (PLA), while factoring in molecular weight (MW), crystallinity and mechanical properties. Synergistic approaches were developed based on combinations with lignin and expandable graphite (EG), as well as by applying different Phyt salts of melamine (Mel), piperazine (Pip), and arginine (Arg). Compounds were twin screw extruded, injection molded, hot pressed and investigated with thermal analysis, size exclusion chromatography, infrared spectroscopy, tensile testing, limited oxygen index (LOI), UL 94, cone calorimeter, and scanning electron microscope. 16.7 wt.% flame retardant (FR) slightly enhances crystallization while MW remains unchanged in PLA Phyt Arg and PLA Phyt Mel. LOI was improved to 43.7 vol.% for PLA Phyt Arg, UL 94 V0 achieved for PLA Phyt Pip. Cone calorimeter results show total heat evolved reduced by 14 %, maximum average rate of heat emission 43 % lower, and peak heat release rate reduced by 50 % for PLA Phyt Mel. Phyt Mel combined with EG increased the char yield of PLA to 20 wt.% and 15.5 wt.% at 600 and 900 °C, respectively. Phyt is exploited to enhance char yield, stabilize the intumescent char, and lower the apparent effective heat of combustion. The combination of Phyt Mel and EG was proposed as an efficient FR for PLA via an evidence based developing route.

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Inspirational Intuition: Unlocking Creative Insight

Müller, Jochem (2025)

Journal of Creativity (JoC) Dezember 2025, Volume 35 (3, 100104).
DOI: 10.1016/j.yjoc.2025.100104


Open Access Peer Reviewed
 

Creative insight is critical to adaptive leadership and innovation in increasingly complex environments. This article introduces Inspirational Intuition as a conceptual framework that integrates intuitive perception and knowledge imagination. Drawing on creativity theory, unconscious cognition, and leadership research, the article outlines four foundational dimensions: Self-Confident Acting, Creative Silence, Emotional Awareness, and Visionary Openness. These form the basis of the IKII-10, a reflective inventory designed for conceptual engagement with intuitive Human Resource Development (HRD) competencies. Rather than an empirical tool, the IKII-10 serves as a scaffold for further theory building, supporting a more holistic understanding of learning, leadership, and organisational development in the face of uncertainty.

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Bewertung durch eine künstliche Intelligenz? Auswertungs- und Interpretationsobjektivität von ChatGPT-4o bei der Bewertung von Lerntagebucheinträgen

Reinhold, Lhea; Händel, Marion (2025)

MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 65, 227-250.
DOI: 10.21240/mpaed/65/2025.08.03.X


Open Access Peer Reviewed
 

Künstliche Intelligenz (KI) kann im Prozess der Leistungsbewertung assistieren und diesen transformieren. Besonders lohnend scheint eine KI-Assistenz bei der Bewertung von komplexem, geschriebenem Text. Jedoch ist der Einsatz von KI im Bewertungsprozess «hochriskant» (EU 2024) und bedarf umfangreicher Analysen. Die vorliegende Studie untersucht, inwiefern ChatGPT-4o die Auswertung und Interpretation von Lerntagebucheinträgen objektiv vornehmen kann. Dafür werden 757 Lerntagebucheinträge aus der geförderten Weiterbildung in Deutschland von Mensch und Maschine bewertet. Sowohl Mensch als auch Maschine erhalten hierzu Kriterien, nach denen die Bewertung vorzunehmen ist; ChatGPT-4o wird diesbezüglich mit einem Prompt unterstützt. Die Übereinstimmung der Bewertungen wird anhand der Masse Sensitivität und Spezifität gemessen. Die Ergebnisse zeigen, dass die Bewertungsvorschläge von ChatGPT-4o eine moderate bis hohe Übereinstimmung mit den menschlichen Bewertungen aufweisen; gleichzeitig neigt ChatGPT-4o jedoch zu einer optimistischen Bewertung der Lerntagebucheinträge. Die Ergebnisse weisen darauf hin, dass eine hybride Intelligenz, also eine Kombination der Stärken von Mensch und Maschine, gewinnbringend für Bewertungsprozesse sein kann. Künftig denkbar sind halbautomatisierte Bewertungsprozesse von Lerntagebucheinträgen, in denen die KI die Bewertung der Lerntagebucheinträge übernimmt und Lehrkräfte bei kritischen Fällen regulierend eingreifen. So könnte die Korrektureffizienz ohne bedeutende Qualitätsverluste gesteigert werden.


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Harnessing Algae-Based Bioplastics as a Sustainable Alternative to Fossil-Derived Plastics

Akbar, Samra; Knoblauch, Anke; Tekiner, Ismail Hakki; Yalcin, Dilek (2025)

12th INTERNATIONAL EUROPEAN CONFERENCE ON INTERDISCIPLINARY SCIENTIFIC RESEARCH, July 11-13, 2025 / Roma, Italy (THE PROCEEDINGS BOOK), 533 - 534.


Open Access Peer Reviewed

AI-teacher agreement in evaluating learning diaries

Reinhold, Lhea; Händel, Marion; Naujoks-Schober, Nick (2025)

Frontiers in Education 10, 1601789.
DOI: 10.3389/feduc.2025.1601789


Open Access Peer Reviewed
 

Learning diaries are reflective tools, often used as formative assessments in adult education with the aim to promote cognitive and metacognitive learning strategies. As grading of and feedback on learning diaries is effortful for teachers, artificial intelligence (AI) may assist teachers in evaluating learning diaries. A prerequisite is that AI's ratings show high accordance with the teachers' ratings. AI accuracy, measured via absolute accuracy and bias, is the focus of the current study with N = 540 learning diary entries focusing on learning strategies, seven teachers, and ChatGPT-4o. Findings revealed that AI evaluations align closely with teacher assessments, indicated by high overall accuracy and low bias. Interestingly, the accuracy varied based on the types of learning strategies assessed in the diaries. Additionally, individual teacher assessments influenced the alignment between human and AI evaluations, suggesting that teachers applied their profession-specific expertise to the assessment process while AI produced somewhat generic evaluations. Overall, the study results indicate that AI can enhance the efficiency of formative assessments while providing timely feedback to learners.

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Unraveling the reciprocal effects and micro-development of metacognitive monitoring strategies and monitoring judgments: A micro-genetic diary study

Händel, Marion; Nett, Ulrike; Bryce, Donna; Dresel, Markus (2025)

Learning and Individual Differences 122, 102748.
DOI: 10.1016/j.lindif.2025.102748


Open Access Peer Reviewed
 

For successful learning, monitoring one's learning behavior and outcomes is essential. While both the use of monitoring strategies and monitoring judgment accuracy are regarded as indicators for metacognitive monitoring, their joint contribution to metacognitive monitoring and their interrelationship is unclear. The current study investigated how monitoring strategies and monitoring judgments (spontaneous as well as prompted judgments) change micro-genetically and influence each other reciprocally during an exam preparation phase. In this diary study, N = 273 higher education students completed knowledge tests and surveys on five consecutive days. Results indicated interindividual differences in dependence of prior performance and gender for the accuracy of prompted judgments but not for monitoring strategies or spontaneous judgments. Random intercept cross-lagged panel models revealed that higher quality monitoring strategies led to the spontaneous formation of monitoring judgments, while the quality of monitoring strategies and prompted judgment accuracy did not influence each other significantly.

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Cultivating the ecosystem: How social exchange sows the seeds of entrepreneurial contributions

Hähnlein, Johannes; Durst, Carolin (2025)

Journal of Business Venturing Insights 2025 (24).
DOI: 10.1016/j.jbvi.2025.e00551


Open Access Peer Reviewed
 

Entrepreneurs benefit significantly from resources within their entrepreneurial ecosystems, but under what conditions do they decide to contribute back (a mechanism called downward causation) and thus revitalize the ecosystem they originated from? Drawing on social exchange theory, we develop a set of drivers of such contribution behaviors and test their influence through a metric-conjoint experiment involving 234 entrepreneurs. Our findings confirm the impact of social exchange theory constructs on entrepreneurs' contribution behaviors and highlight the moderating effects of personal traits—in particular, self-interest and other-orientation—on these dynamics. The key insight of our study is that social exchange structures and entrepreneurs’ relational contexts shape contribution behaviors that underlie the microfoundational dynamics of ecosystem development. This investigation underscores the importance of social structures within entrepreneurial ecosystems and enhances our understanding of the micro-level mechanisms that sustain ecosystem health and development. Furthermore, it offers practical insights that transcend traditional policy approaches, focusing on tailored strategies for cultivating entrepreneur-centered ecosystems.

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Influence of palmitic acid and temperature on the behaviour of polypropylene films for medical uses; Journal of Polymer Research, 2025

Gürsoy Sayed, Gülayşe ; Kozjak-Pavlovic, Vera (2025)


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Selective Paint Removal from Plastic Components Using Laser Advanced Techniques

Zink, Markus (2025)

International Conference on Reliable Systems Engineering (ICoRSE) 2025.
DOI: 10.1007/978-3-032-02508-1_14


Peer Reviewed
 

Laser technology presents a compelling alternative to conventional methods for removing coatings from plastic and metallic parts, offering advantages over chemical solvents and media blasting for component reuse and recycling. This study investigates laser paint removal from thermoplastic materials, particularly those with complex 3D geometries. Utilizing a 1064 nm pulsed fiber laser, experiments were conducted to analyze paint ablation from plastic substrates and characterize the resulting surfaces. Experimental results on plastic substrates demonstrate the feasibility of complete paint removal while preserving the integrity of the thermoplastic. The laser's energy density, scanning speed, and spot size are identified as key parameters influencing removal efficiency and substrate integrity. The study presents the necessary steps and process conditions and analyzes the resulting quality of the processed surfaces. The study concludes that laser paint removal facilitates the reuse or high-quality recycling of plastic parts and can be an environmentally friendly, flexible, and highly efficient method for paint removal.

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New Cube-based Topological Interlocking Element

Ermolai, Vasile; Irimia, A. I.; Mititelu , N. R.; Ripanu, M. I .; Ciaun, G. (2025)

International Conference on Computational Civil Engineering, IOP Conference Series 2025, 3071 012024.


Peer Reviewed
 

Abstract. Topological Interlocking Elements (TIEs) offer a novel approach to self-supporting and damage-resistant structures, relying on their geometric constraints rather than traditional adhesives or fasteners. While cubic-based TIEs provide ease ways of fabrication and modularity, their limited contact surface areas reduce load transfer efficiency and structural stability. This study introduces a new cubic-based TIE configuration with enhanced contact surfaces, improving interlocking efficiency and mechanical performance. By employing parametric modeling and geometric analysis, the study evaluates the proposed design against conventional cubic TIEs. This research advances interlocking structural systems by presenting a more efficient and stable cubic-based TIE, contributing to improved structural performance and broader applications in engineering and architecture.

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Analyzing national talent support systems: The case for a resource-oriented approach

Ziegler, Albert; Naujoks-Schober, Nick; Vialle, Wilma; Stoeger, Heidrun (2025)

2025, 17(13), 5896.
DOI: 10.3390/su17135896


Open Access Peer Reviewed
 

Context plays a critical role in talent development, yet most national analyses continue to rely on individual-centered talent concepts. This paper highlights the limitations of traditional models for assessing how countries support talent and proposes a resource-oriented, systemic alternative. Building on the Educational and Learning Capital Approach (ELCA), this study argues that national talent development depends on the availability, accessibility, and orchestration of both endogenous and exogenous learning resources across systemic levels. By analyzing the clumping patterns of excellence in STEM, the arts, sports, and innovation, this paper illustrates the unequal global distribution of talent-supportive environments. Seven key principles for effective resource orchestration are outlined, offering a framework for evaluating and strengthening national talent ecosystems. The paper concludes that systematic assessment and strategic enhancement of national resource landscapes are critical for sustainable talent development and for ensuring that human potential can flourish more equitably across countries.

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Corporate-Influencer-Programme - So gewinnen Unternehmen Mitarbeitende als digitale Markenbotschafter für LinkedIn

Steigerwald, Julian; Durst, Carolin (2025)

2025 (IX, 47), 6 b/w illustrations.
DOI: 10.1007/978-3-658-47982-4


 

Dieses essential bietet eine fundierte Analyse und praktische Hinweise zur erfolgreichen Implementierung von Corporate-Influencer-Programmen auf LinkedIn. Es beleuchtet die entscheidenden Einflussfaktoren, die Mitarbeitende motivieren, als digitale Markenbotschafter für ihr Unternehmen zu agieren und zeigt auf, wie Unternehmen diese Potenziale optimal nutzen können.

In einer detaillierten Conjoint-Analyse werden die Rahmenbedingungen für erfolgreiche Programme untersucht – von besonderer Bedeutung ist dabei eine moderne und gelebte Unternehmenskultur. Für alle Verantwortlichen in der Unternehmenskommunikation, HR und Marketing, die ihre Strategien im Bereich Corporate Influencing optimieren und langfristig eine positive Arbeitgebermarke aufbauen wollen.

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This is the way: An evidence based route to phytic-acid–based flame retardant poly (lactide acid)

Wagner, Jan (2025)

Vortrag auf der 20th European Meeting on Fire Retardant Polymeric Materials (FRPM2025), Madrid Spanien 2025, (Volume 234,), 111242.
DOI: 10.1016/j.polymdegradstab.2025.111242


Peer Reviewed
 

A systematic sequence of materials was investigated to develop phytic-acid (Phyt)–based flame retarded poly(lactide acid) (PLA), while factoring in molecular weight (MW), crystallinity and mechanical properties. Synergistic approaches were developed based on combinations with lignin and expandable graphite (EG), as well as by applying different Phyt salts of melamine (Mel), piperazine (Pip), and arginine (Arg). Compounds were twin screw extruded, injection molded, hot pressed and investigated with thermal analysis, size exclusion chromatography, infrared spectroscopy, tensile testing, limited oxygen index (LOI), UL 94, cone calorimeter, and scanning electron microscope. 16.7 wt.% flame retardant (FR) slightly enhances crystallization while MW remains unchanged in PLA Phyt Arg and PLA Phyt Mel. LOI was improved to 43.7 vol.% for PLA Phyt Arg, UL 94 V0 achieved for PLA Phyt Pip. Cone calorimeter results show total heat evolved reduced by 14 %, maximum average rate of heat emission 43 % lower, and peak heat release rate reduced by 50 % for PLA Phyt Mel. Phyt Mel combined with EG increased the char yield of PLA to 20 wt.% and 15.5 wt.% at 600 and 900 °C, respectively. Phyt is exploited to enhance char yield, stabilize the intumescent char, and lower the apparent effective heat of combustion. The combination of Phyt Mel and EG was proposed as an efficient FR for PLA via an evidence based developing route.

mehr

Software-Startups in Deutschland: Methoden für den Product-Market-Fit

Durst, Carolin; Leyh, Christian (2025)

Volume 62, pages 452–466, (2025).
DOI: 10.1365/s40702-025-01200-9


Open Access Peer Reviewed
 

Der Softwaremarkt zählt zu den wachstumsstärksten Sektoren der deutschen Wirtschaft. Unternehmen wie Celonis und Personio zeigen, welches Potenzial in Software-Startups steckt – sowohl im Hinblick auf Umsatz als auch auf die internationale Wettbewerbsfähigkeit. Dennoch ist die Ausfallquote hoch: Viele Startups scheitern frühzeitig, häufig am fehlenden Product-Market-Fit. Gerade Software-Startups stehen vor besonderen Herausforderungen. Sie entwickeln digitale, häufig komplexe Produkte, deren Nutzen sich schwer kommunizieren lässt. Der Irrtum „Build it and they will come“ führt dazu, dass Produkte ohne fundiertes Kundenverständnis entwickelt werden. Um dieses Risiko zu minimieren, gibt es nutzer- und marktzentrierte Methoden. Sie helfen dabei, frühzeitig Rückmeldung aus dem Markt einzuholen, den Produktnutzen klar zu definieren und ein tiefes Verständnis der Zielgruppe zu gewinnen. Wer als Startup transparent kommuniziert und seine Zielgruppe aktiv einbindet, kann nicht nur Produktideen validieren, sondern auch erste loyale Kundengruppen gewinnen. Dieser Beitrag zeigt, dass die Integration nutzer- und marktorientierter Methoden die Erfolgschancen von Software-Startups deutlich erhöhen kann. Eine praxisorientierte Übersicht am Ende des Beitrags zeigt, wie zentrale Methoden je nach Entwicklungsphase gezielt eingesetzt werden können.

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