Anika Radkowitsch

About Anika Radkowitsch

Anika Radkowitsch, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München, specializes in the field of Educational Psychology, Teacher Education, Collaboration and collaborative learning, Scaffolding, Learning with digital media.

His recent articles reflect a diverse array of research interests and contributions to the field:

Who is on the right track? Behavior-based prediction of diagnostic success in a collaborative diagnostic reasoning simulation

Exploring the diagnostic process of pre-service teachers using a simulation–A latent profile approach

THE EFFECTIVENESS OF LEARNING PROGRESS MONITORING: A META-ANALYSIS

Wie sehen Lehrkräfte die Nutzung des 3D-Drucks als Lernkontext im Mathematikunterricht der Sekundarstufe?

Learners’ adjustment strategies following impasses in simulations-Effects of prior knowledge

Transactivity and Knowledge Co-Construction in Collaborative Problem Solving

Representational scaffolding in digital simulations–learning professional practices in higher education

Digitales Lehren und Lernen an der Hochschule: Erkenntnisse aus der empirischen Lehr-Lernforschung: Teil 2: Betreuung, Begleitung und Unterstützung digital gestützten Lernens …

Anika Radkowitsch Information

University

Position

Lehrstuhl für Empirische Pädagogik und Pädagogische Psychologie

Citations(all)

223

Citations(since 2020)

222

Cited By

22

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Anika Radkowitsch Skills & Research Interests

Educational Psychology

Teacher Education

Collaboration and collaborative learning

Scaffolding

Learning with digital media

Top articles of Anika Radkowitsch

Who is on the right track? Behavior-based prediction of diagnostic success in a collaborative diagnostic reasoning simulation

Large-scale Assessments in Education

2023/1/20

Matthias Stadler
Matthias Stadler

H-Index: 14

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Exploring the diagnostic process of pre-service teachers using a simulation–A latent profile approach

Teaching and Teacher Education

2023/8/1

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

THE EFFECTIVENESS OF LEARNING PROGRESS MONITORING: A META-ANALYSIS

46 th CONFERENCE

2023/7/16

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Wie sehen Lehrkräfte die Nutzung des 3D-Drucks als Lernkontext im Mathematikunterricht der Sekundarstufe?

Digitaler Mathematikunterricht in Forschung und Praxis: Tagungsband zur Vernetzungstagung 2022 in Siegen

2023/5/3

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Marc Wilken
Marc Wilken

H-Index: 3

Learners’ adjustment strategies following impasses in simulations-Effects of prior knowledge

Learning and Instruction

2023/2/1

Transactivity and Knowledge Co-Construction in Collaborative Problem Solving

Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning-CSCL 2023, pp. 337-346

2023

Digitales Lehren und Lernen an der Hochschule: Erkenntnisse aus der empirischen Lehr-Lernforschung: Teil 2: Betreuung, Begleitung und Unterstützung digital gestützten Lernens …

Lehrerbildung@ LMU

2022/7/19

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Diagnosing collaboratively: A theoretical model and a simulation-based learning environment

Learning to diagnose with simulations: Teacher education and medical education

2022/2/11

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Michael Sailer
Michael Sailer

H-Index: 10

Making the rich even richer? Interaction of structured reflection with prior knowledge in collaborative medical simulations

Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022, pp. 155-162

2022

Matthias Stadler
Matthias Stadler

H-Index: 14

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Komplexes Problemlösen mit Simulationen lernen: Vorhersage von Performanz anhand theoriebasierter Prozessmerkmale

2022

Simulation-based learning of complex skills: predicting performance with theoretically derived process features

Psychological Test and Assessment Modeling

2021/10/1

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Andreas Obersteiner
Andreas Obersteiner

H-Index: 14

Learning to diagnose collaboratively–Effects of adaptive collaboration scripts in agent-based medical simulations

Learning and Instruction

2021/10/1

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Michael Sailer
Michael Sailer

H-Index: 10

Simulation research and design: a dual-level framework for multi-project research programs

Educational Technology Research and Development

2021/4

Take your time: Invariance of timeon-task in problem solving tasks across expertise levels

Psychological Test and Assessment Modeling

2020/10/1

Learning to diagnose collaboratively: Validating a simulation for medical students

GMS Journal for Medical Education

2020/9

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Facilitating collaborative diagnostic reasoning

2020/7/27

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Good for learning, bad for motivation? A meta-analysis on the effects of computer-supported collaboration scripts

International Journal of Computer-Supported Collaborative Learning

2020/3

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Facilitating collaborative diagnostic reasoning: effects of collaboration scripts in agent-based medical simulations

2020

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

Evidenzorientiertes Digitales Lehren und Lernen an der Hochschule

Digilab der LMU, Ludwig-Maximilians-Universität München, Link: https://www. digillab. mcls. uni-muenchen. de/angebote_lehre_und_unterri cht/tipps-paper-aktuelle-version. pdf, letzter Aufruf

2020

Sabine Becker
Sabine Becker

H-Index: 9

Anika Radkowitsch
Anika Radkowitsch

H-Index: 2

See List of Professors in Anika Radkowitsch University(Ludwig-Maximilians-Universität München)