B Priemer
Biographic Data
| ID | 9635388 |
|---|---|
| NAME | B Priemer |
| GIVEN NAMES | B |
| FAMILY NAME | Priemer |
| SIGNATURE | PRIEMER B |
| AFFILIATIONS | Humboldt-Universität zu Berlin |
| ORCID | 0000-0001-5399-7631 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The role of perceiving data as confirming or contradicting to expectations in data-based decisions
This article presents an empirical study with 125 university students that investigates the influence of perceiving a confirmation or a contradiction between expectations regarding a hypothetical experiment in physics and empirical evidence from measurement data on data-based decisions. The decisions were analysed for correctness (multiple choice) and for the quality of the justification (free response). The results show that perceiving empirical…
Assessing the quality of scientific explanations with networks
This article introduces a network approach to describe the quality of written scientific explanations. Existing approaches evaluate explanations mainly on the level of sentences or as a whole but not on the elementary level of single terms. Moreover, evaluation of explanations is often based on highly inferential scoring techniques. We addressed both issues by converting the elementary structure of terms in explanations into networks (so-called e…
Measuring Characteristics of Explanations with Element Maps
What are the structural characteristics of written scientific explanations that make them good? This is often difficult to measure. One approach to describing and analyzing structures is to employ network theory. With this research, we aim to describe the elementary structure of written explanations, their qualities, and the differences between those made by experts and students. We do this by converting written explanations into networks called …
No prominent works on this page.
Measuring Characteristics of Explanations with Element Maps
What are the structural characteristics of written scientific explanations that make them good? This is often difficult to measure. One approach to describing and analyzing structures is to employ network theory. With this research, we aim to describe the elementary structure of written explanations, their qualities, and the differences between those made by experts and students. We do this by converting written explanations into networks called …
Assessing the quality of scientific explanations with networks
This article introduces a network approach to describe the quality of written scientific explanations. Existing approaches evaluate explanations mainly on the level of sentences or as a whole but not on the elementary level of single terms. Moreover, evaluation of explanations is often based on highly inferential scoring techniques. We addressed both issues by converting the elementary structure of terms in explanations into networks (so-called e…
The role of perceiving data as confirming or contradicting to expectations in data-based decisions
This article presents an empirical study with 125 university students that investigates the influence of perceiving a confirmation or a contradiction between expectations regarding a hypothetical experiment in physics and empirical evidence from measurement data on data-based decisions. The decisions were analysed for correctness (multiple choice) and for the quality of the justification (free response). The results show that perceiving empirical…
Computer Science (3 works) · Data science (3 works) · Mathematics education (3 works) · Psychology (3 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Betweenness centrality (1 work) · Centrality (1 work)