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Kristina Reiss

Researcher at Technische Universität München

Publications -  155
Citations -  2515

Kristina Reiss is an academic researcher from Technische Universität München. The author has contributed to research in topics: Competence (human resources) & Argumentation theory. The author has an hindex of 24, co-authored 148 publications receiving 1910 citations. Previous affiliations of Kristina Reiss include University of Oldenburg & Augsburg College.

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Zur Entwicklung nationaler Bildungsstandards. Eine Expertise

TL;DR: In this paper, the authors provide a specialist definition of the concept of educational standards, taking the international debate on education policy and educational science into account, and present a framework describing the function of educational standard in the overall context of educational monitoring, school evaluation and the evaluation of specific programmes.
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Measuring students' emotions in the early years: The Achievement Emotions Questionnaire-Elementary School (AEQ-ES)

TL;DR: In this paper, the authors report the development and validation of a measurement instrument assessing elementary school students' achievement emotions (AEQ-ES), which is based on Pekrun's (2006) control-value theory of achievement emotions.
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The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis

TL;DR: Overall, digital tool use had a positive effect on student learning outcomes and was compared to those of a control group taught without the use of digital tools.
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How Training on Exact or Approximate Mental Representations of Number Can Enhance First-Grade Students' Basic Number Processing and Arithmetic Skills

TL;DR: In this article, the authors provide empirical evidence for the specific effects of these approaches by implementing them in a highly controlled learning environment, where 147 first-graders were randomly assigned to one of three intervention groups that used an "exact", an "approximate" or both versions of the same computer game, or to a control group.
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Learning to prove in geometry: Learning from heuristic examples and how it can be supported

TL;DR: The participants' proving skills and their conceptual knowledge were significantly better when learning with heuristic examples as compared to the control condition, and the sole provision of self-explanation prompts fostered conceptual knowledge as well as skills.