Learning Analytics For Progressions
Learning Analytics for Progressions is a scholarly framework that systematically integrates data-driven methodologies with theoretical models ofLearning Progressions to trace, interpret, and support learners' evolving competencies across developmental levels.
5
Publications
161
Citations
22
Authors
10
Institutions
Publications per year
2017–2026
4
Parents
5
Ramteja Sajja, Yusuf Sermet, David M. Cwiertny et al. · Technology Knowledge and Learning · 2025 · 54 citations · Full text
Education, Educational Measurement, Educational Technology +17
Marcus Kubsch, Berrit Katharina Czinczel, Jannik Lossjew et al. · Frontiers in Education · 2022 · 42 citations · Full text
Education, Educational Assessment, Educational Technology +14
1–5 of 5
22
2
h-index
2
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2
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2
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Leibniz Institute for Science and Mathematics Education, Germany
1 publications · 42 citations
1
h-index
1–5 of 22
10
Ruhr University Bochum
Bochum, Germany
1 h-index
2 publications
84 citations

University of Southern Queensland
Toowoomba, Australia
1 h-index
2 publications
48 citations

Monash University
Melbourne, Australia
1 h-index
1 publications
24 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
50 citations
Leibniz Institute for Science and Mathematics Education
Kiel, Germany
1 h-index
8 publications
336 citations

Tulane University
New Orleans, United States
1 h-index
3 publications
162 citations
University of Iowa
Iowa City, United States
1 h-index
1 publications
54 citations
DIPF | Leibniz Institute for Research and Information in Education
Frankfurt am Main, Germany
1 h-index
1 publications
42 citations
1–8 of 10
AJET · 1 publications · 24 citations
1
h-index
Repository · 1 publications · 16 citations
1
h-index
1 publications · 54 citations
1
h-index
1 publications · 25 citations
1
h-index
FEDUC · 1 publications · 42 citations
1
h-index
1–5