Stress und Depressive Symptome von Fernuniversitätsstudierenden Reduzieren – Effekte der Onlinebasierten Kurzversion des Trainings Emotionaler Kompetenzen.

Aktivität: Vorträge und GastvorlesungenPräsentationen (Poster ua.)Forschung

Marcus Eckert - Präsentator*in

David Daniel Ebert - Präsentator*in

Dirk Lehr - Präsentator*in

29.05.201431.05.2014

Veranstaltung

32. Symposium der Fachgruppe Klinische Psychologie und Psychotherapie der Deutschen Gesellschaft für Psychologie 2014: Tradition und Aufbruch

29.05.1431.05.14

Braunschweig, Deutschland

Veranstaltung: Konferenz

Zuletzt angesehen

Publikationen

  1. Do sustainable institutional investors influence senior executive compensation structures according to their preferences? Empirical evidence from Europe
  2. Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate the Influence of Language Models in Invoice Recognition
  3. A temporal analysis of how entrepreneurial goal intentions, positive fantasies, and action planning affect starting a new venture and when the effects wear off.
  4. Using structure biodegradability relationships for environmentally benign design of organosilicons – An experimental comparison of organosilicons and their carbon analogues
  5. Evaluation eines Interventionsansatzes zur Verbesserung von Motivation und motivationsförderlichem Unterrichtshandeln von Lehrkräften auf Basis der Zielorientierungstheorie
  6. “The whole is greater than the sum of its parts” – Exploring teachers’ technology readiness profiles and its relation to their emotional state during COVID-19 emergency remote teaching
  7. Temporal dynamics and ecotoxicological risk assessment of personal care products, phthalate ester plasticizers, and organophosphorus flame retardants in water from Lake Victoria, Uganda
  8. Increasing personal initiative in small business managers or owners leads to entrepreneurial success: A theory-based controlled randomized field intervention for evidence-based management
  9. Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning