Sebastian Hobert
Biographic Data
| ID | 9652527 |
|---|---|
| NAME | Sebastian Hobert |
| GIVEN NAMES | Sebastian |
| FAMILY NAME | Hobert |
| SIGNATURE | HOBERT S |
| AFFILIATIONS | University of Göttingen |
| ORCID | 0000-0003-3621-0272 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Learning during Covid-19
In a world changed by the COVID-19 pandemic, in 2020 universities had to completely rethink and immediately transform their teaching to a fully online setting. As a result, students had to learn from home and organize their learning by themselves. In a natural experiment, data about learning processes indicate that students learned more engaged and achieved higher learning success in this new situation compared to the traditional learning process…
Developing a digital tutor as an intermediary between students, teaching assistants, and lecturers
Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological advances, we transfer the concept of chatbots to formal educational settings to support not only a singl…
Chatbots for active learning
Chatbots represent a promising approach to provide instructional content and facilitate active learning processes. However, there is a lack of knowledge as how to design chatbot interactions for active learning. In response to this knowledge gap, we conducted an experimental study (n = 164) comparing four modes for providing instructional content in chatbots, with varying demands for cognitive engagement. The four modes – passive, active, constru…
No prominent works on this page.
Chatbots for active learning
Chatbots represent a promising approach to provide instructional content and facilitate active learning processes. However, there is a lack of knowledge as how to design chatbot interactions for active learning. In response to this knowledge gap, we conducted an experimental study (n = 164) comparing four modes for providing instructional content in chatbots, with varying demands for cognitive engagement. The four modes – passive, active, constru…
Developing a digital tutor as an intermediary between students, teaching assistants, and lecturers
Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological advances, we transfer the concept of chatbots to formal educational settings to support not only a singl…
Learning during Covid-19
In a world changed by the COVID-19 pandemic, in 2020 universities had to completely rethink and immediately transform their teaching to a fully online setting. As a result, students had to learn from home and organize their learning by themselves. In a natural experiment, data about learning processes indicate that students learned more engaged and achieved higher learning success in this new situation compared to the traditional learning process…
Computer Science (3 works) · Mathematics education (2 works) · Online Learning and Analytics (2 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Chatbot (1 work) · Cognition (1 work) · COVID-19 and Mental Health (1 work)