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Student Assessment in Digital and Hybrid Learning Environments 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 319 pages, height x width: 210x148 mm, weight: 435 g, 33 Illustrations, color; 18 Illustrations, black and white; IX, 319 p. 51 illus., 33 illus. in color., 1 Paperback / softback
  • Sērija : Doing Higher Education
  • Izdošanas datums: 01-Dec-2023
  • Izdevniecība: Springer VS
  • ISBN-10: 3658422521
  • ISBN-13: 9783658422523
  • Mīkstie vāki
  • Cena: 109,38 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 128,69 €
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  • Formāts: Paperback / softback, 319 pages, height x width: 210x148 mm, weight: 435 g, 33 Illustrations, color; 18 Illustrations, black and white; IX, 319 p. 51 illus., 33 illus. in color., 1 Paperback / softback
  • Sērija : Doing Higher Education
  • Izdošanas datums: 01-Dec-2023
  • Izdevniecība: Springer VS
  • ISBN-10: 3658422521
  • ISBN-13: 9783658422523

Assessment is a fundamental factor in monitoring the learning process of students and therefore an essential component of effective teaching and learning in the online environment. In the course of the (corona-induced) wave of digitization, the new and different forms of assessment present us with new challenges. The book focuses on these new forms of digital assessments and highlights effective practices and opportunities associated with conducting assessments in digital and hybrid learning environments.

General approaches to assessment in digital and hybrid environments: Experiences and critical reflection on e-Assessment with Excel: Experiences and critical reflection on e-Assessment with Excel case studies.- The role of formative assessments in competency-based online teaching of higher education institutions.- Student Feedback in Hybrid/Online Teaching: Relevance, Approaches and Practices.- Developing questions for digital assessments.- Online Assessment from a Broader Perspective with Practical Applications.- Creating structures to offer students support before and during online-exams.- Exam formats: Rethinking (E-)Assessment in Higher Education.- Formative assessment of E-Service learning using learning diaries and group.- Validity and fairness of an admission procedure using a study-related learning test.


Dr. Sandra Hummel is an educational scientist and research group leader at the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) at Dresden Technical University. Mana-Teresa Donner is a PHD candidate (Educational Science) and investigates the learning psychology perspective of AI-based mentoring in the Junior Research Group Situating AI-based Mentoring at ScaDS.AI (TU Dresden).