Maren Scheffel
Biographic Data
| ID | 8989241 |
|---|---|
| NAME | Maren Scheffel |
| GIVEN NAMES | Maren |
| FAMILY NAME | Scheffel |
| SIGNATURE | SCHEFFEL M |
| AFFILIATIONS | Ruhr University Bochum |
| ORCID | 0000-0003-4395-4819 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Students' expectations of Learning Analytics across Europe
A four-country cross-case analysis of academic staff expectations about learning analytics in higher education
Virtual academic conferences as learning spaces
From students with love
Unequal stakeholder engagement is a common pitfall of adoption approaches of learning analytics in higher education leading to lower buy-in and flawed tools that fail to meet the needs of their target groups. With each design decision, we make assumptions on how learners will make sense of the visualisations, but we know very little about how students make sense of dashboard and which aspects influence their sense-making. We investigated how lear…
Learning analytics in European higher education—Trends and barriers
Assessing the validity of a learning analytics expectation instrument
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two‐factor structure of “Ethical and Privacy Expectations” and “Service Feature Expectations.” As it stands, however, the SELAQ has only been v…
Learning Analytics
The field of learning analytics has evolved over the past decade to provide new ways to view, understand and enhance learning activities and environments in higher education. It brings together research and practice traditions from multiple disciplines to provide an evidence base to inform student support and effective design for learning. This has resulted in a plethora of ideas and research exploring how data can be analysed and utilised to not…
No prominent works on this page.
From students with love
Unequal stakeholder engagement is a common pitfall of adoption approaches of learning analytics in higher education leading to lower buy-in and flawed tools that fail to meet the needs of their target groups. With each design decision, we make assumptions on how learners will make sense of the visualisations, but we know very little about how students make sense of dashboard and which aspects influence their sense-making. We investigated how lear…
Learning analytics in European higher education—Trends and barriers
Assessing the validity of a learning analytics expectation instrument
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two‐factor structure of “Ethical and Privacy Expectations” and “Service Feature Expectations.” As it stands, however, the SELAQ has only been v…
Learning Analytics
The field of learning analytics has evolved over the past decade to provide new ways to view, understand and enhance learning activities and environments in higher education. It brings together research and practice traditions from multiple disciplines to provide an evidence base to inform student support and effective design for learning. This has resulted in a plethora of ideas and research exploring how data can be analysed and utilised to not…
A four-country cross-case analysis of academic staff expectations about learning analytics in higher education
Virtual academic conferences as learning spaces
Students' expectations of Learning Analytics across Europe
Computer Science (7 works) · Analytics (6 works) · Data science (6 works) · Learning analytics (6 works) · Online Learning and Analytics (6 works) · Psychology (6 works) · E-Learning and Knowledge Management (5 works) · Knowledge management (4 works) · Political science (4 works) · Higher education (3 works)