Competencies for successful self-regulated learning in higher education
Structural Model and Indications Drawn From Expert Interviews
Bibliographic Data
| ID | 4743952 |
|---|---|
| Authors | Markus Dresel (0000-0002-2131-3749, University of Augsburg, corresponding author), Bernhard Schmitz (0000-0002-6034-6674, Technische Universität Darmstadt), Barbara Schober (0000-0002-5754-8865, University of Vienna), Christiane Spiel (0000-0002-7082-4879, University of Vienna), Christine Spiel, Amber Ziegler (0000-0002-9884-4185, Friedrich-Alexander-Universität Erlangen-Nürnberg), Albert Ziegler (0000-0002-2122-0673), Tobias Engelschalk (0000-0002-7447-516X, University of Augsburg), Gregor Jöstl (University of Vienna), Julia Klug (0000-0002-6595-4505, University of Vienna), Anne Roth (Technische Universität Darmstadt), Bastian Wimmer (Friedrich-Alexander-Universität Erlangen-Nürnberg), Gabriele Steuer (0000-0001-5525-6757, University of Augsburg) |
| Year | 2015 |
| Volume | 40 |
| Issue | 3 |
| Pages | 454-470 |
| Publication date | 2015-03-16 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Studies in Higher Education (JOURNAL) |
| Journal identifiers | ISSN: 0307-5079 • E-ISSN: 1470-174X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03075079.2015.1004236 |
| OpenAlex | W2022709055 |
| Language | EN |
| Citations received | 21 |
| References cited | 26 |
A global characteristic of higher education is the opportunity and necessity for students to self-regulate their learning. In contrast to considerable research focusing on self-regulated learning (SRL) from a behavioural perspective, little is known concerning the underlying competencies which enable students to succeed in SRL. A structural model is proposed that differentiates SRL competencies in terms of descriptive, procedural, and conditional knowledge regarding different types of self-regulation strategies in different phases of the learning process. Indications drawn from semi-structured interviews with N = 108 experts (39 lecturers and 69 as excellent nominated students) from 4 fields of study are in line with core assumptions of the proposed model. Moreover, the results provide a basis to ensure the content validity of assessments of students’ SRL competencies and from which to derive standards to judge these competencies
Core competency · Higher education · Mathematics education · Pedagogy · Self-regulated learning · Computer Science · Innovative Teaching and Learning Methods · Knowledge Management and Sharing · Online and Blended Learning · Psychology
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| Unique citing works | 21 |
|---|---|
| Citations per year | 1,91 |
| Citation span | 2015 - 2026 (12) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 19 |