Andrea Horbach
Biographic Data
| ID | 9611903 |
|---|---|
| NAME | Andrea Horbach |
| GIVEN NAMES | Andrea |
| FAMILY NAME | Horbach |
| SIGNATURE | HORBACH A |
| AFFILIATIONS | Leibniz Institute for Science and Mathematics Education |
| ORCID | 0009-0004-3680-3304 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
How good are LLMs in generating input texts for reading tasks in German as a foreign language?
To study the potential of generative AI for generating high-quality input texts for a reading comprehension task on specific CEFR levels in German, we investigated the comparability of reading texts from a high-stakes German exam used as benchmarks for the purpose of this study and those generated by ChatGPT (3.5 and 4). These three types of texts were analyzed according to a variety of linguistic features and evaluated by three assessment expert…
On the role of engagement in automated feedback effectiveness
Feedback research increasingly focuses on the role of learners’ engagement in the feedback process. Process measures from technology-based learning environments that reflect writing behavior can provide new insights into the mechanisms underlying feedback effectiveness by making engagement visible. Previous research has shown that log data and similarity measures mediate the effects of automated feedback on learners’ revision performance. In the …
Understanding the effectiveness of automated feedback
In the last couple of years, feedback research has shifted towards a feedback-as-process approach, taking a learner-centered perspective and focusing on the proactive role of the learner in feedback effectiveness. Process measures can provide new insights into the role of the learner by making learners’ actual behavioral engagement visible. We conducted an experimental study, comparing two groups (feedback vs. no feedback) of English-as-a-foreign…
Automated Scoring of Teachers’ Pedagogical Content Knowledge – A Comparison Between Human and Machine Scoring
To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate ap-proach to reduce the resource-intensity of human scoring and to achieve more consistent scor-ing results than human raters. The focus is on the comparability of human and automated scor-ing of PCK for economics teachers. The answers of (prospective) teachers (N=852) to …
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Automated Scoring of Teachers’ Pedagogical Content Knowledge – A Comparison Between Human and Machine Scoring
To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate ap-proach to reduce the resource-intensity of human scoring and to achieve more consistent scor-ing results than human raters. The focus is on the comparability of human and automated scor-ing of PCK for economics teachers. The answers of (prospective) teachers (N=852) to …
Understanding the effectiveness of automated feedback
In the last couple of years, feedback research has shifted towards a feedback-as-process approach, taking a learner-centered perspective and focusing on the proactive role of the learner in feedback effectiveness. Process measures can provide new insights into the role of the learner by making learners’ actual behavioral engagement visible. We conducted an experimental study, comparing two groups (feedback vs. no feedback) of English-as-a-foreign…
How good are LLMs in generating input texts for reading tasks in German as a foreign language?
To study the potential of generative AI for generating high-quality input texts for a reading comprehension task on specific CEFR levels in German, we investigated the comparability of reading texts from a high-stakes German exam used as benchmarks for the purpose of this study and those generated by ChatGPT (3.5 and 4). These three types of texts were analyzed according to a variety of linguistic features and evaluated by three assessment expert…
On the role of engagement in automated feedback effectiveness
Feedback research increasingly focuses on the role of learners’ engagement in the feedback process. Process measures from technology-based learning environments that reflect writing behavior can provide new insights into the mechanisms underlying feedback effectiveness by making engagement visible. Previous research has shown that log data and similarity measures mediate the effects of automated feedback on learners’ revision performance. In the …
Computer Science (3 works) · Human–computer interaction (2 works) · Psychology (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Education (1 work) · Behavioral and Psychological Studies (1 work) · CEFR levels (1 work) · ChatGPT (1 work) · Comparability (1 work)