Niels Seidel
Biographic Data
| ID | 9590223 |
|---|---|
| NAME | Niels Seidel |
| GIVEN NAMES | Niels |
| FAMILY NAME | Seidel |
| SIGNATURE | SEIDEL N |
| AFFILIATIONS | FernUniversität in Hagen |
| ORCID | 0000-0003-1209-5038 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Implementing the self-regulated learning structured interview protocol with generative AI
In recent years, self-report questionnaires and unobtrusive measures of self-regulated learning (SRL) based on digital trace data have been widely used to evaluate students’ SRL skills. However, researchers acknowledged significant limitations in these methods: while students often refuse to fill item-intensive questionnaires, digital trace data often lack the granularity and contextualization required to capture and explain the complexity of lea…
Uncovering variations in learning behaviors and cognitive engagement among students with diverse learning goals and outcomes
The recent surge in the use of learning analytics in education has led to the development of more adaptive and personalized learning environments (APLE). A key feature of APLE is its capability to support learning tailored to various student needs and goals. Although educational studies emphasize goal setting as essential for effective student learning and self-regulation, current empirical research on APLE lacks clarity on how different learning…
Investigating the effects of different levels of students' regulation support on learning process and outcome
Students in higher education who actively manage and control their own learning processes have better learning outcomes, more efficient learning progress, and other non-academic benefits than those who do not. However, students often have poor self-regulation practices, lack reflective thinking, and fail to monitor their learning against defined goals. Therefore, a variety of advanced learning technologies and features have been developed to supp…
Analysing students' self‐assessment practice in a distance education environment
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Investigating the effects of different levels of students' regulation support on learning process and outcome
Students in higher education who actively manage and control their own learning processes have better learning outcomes, more efficient learning progress, and other non-academic benefits than those who do not. However, students often have poor self-regulation practices, lack reflective thinking, and fail to monitor their learning against defined goals. Therefore, a variety of advanced learning technologies and features have been developed to supp…
Analysing students' self‐assessment practice in a distance education environment
Implementing the self-regulated learning structured interview protocol with generative AI
In recent years, self-report questionnaires and unobtrusive measures of self-regulated learning (SRL) based on digital trace data have been widely used to evaluate students’ SRL skills. However, researchers acknowledged significant limitations in these methods: while students often refuse to fill item-intensive questionnaires, digital trace data often lack the granularity and contextualization required to capture and explain the complexity of lea…
Uncovering variations in learning behaviors and cognitive engagement among students with diverse learning goals and outcomes
The recent surge in the use of learning analytics in education has led to the development of more adaptive and personalized learning environments (APLE). A key feature of APLE is its capability to support learning tailored to various student needs and goals. Although educational studies emphasize goal setting as essential for effective student learning and self-regulation, current empirical research on APLE lacks clarity on how different learning…
Computer Science (4 works) · Innovative Teaching and Learning Methods (4 works) · Mathematics education (4 works) · Psychology (4 works) · Artificial Intelligence (2 works) · Educational technology (2 works) · Engineering (2 works) · Intelligent Tutoring Systems and Adaptive Learning (2 works) · Medical education (2 works) · Medicine (2 works)