Cited by 144Digital literacy in educationLearning Styles and Cognitive DifferencesEducation and Technology Integration

Does the use of educational technology in personalized learning environments correlate with self-reported digital skills and beliefs of secondary-school students?

Open access
Schmid, Regina, Petko, Dominik·2019·Computers & Education

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2019.03.006

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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  • One of the most critical problems with personalized learning is that there is no readily agreed-upon meaning of the phrase 'personalized learning'.

    “Which supports our claim that one of the most critical problems with personalized learning is, there is no readily agreed-upon meaning of the phrase 'personalized learning'.”

    From A systematic literature review of personalized learning terms (2020) · cites this paper as Schmid and Petko (2019)

  • A clearly defined concept of personalized learning is still lacking; instead, it serves as an umbrella term for educational strategies that try to do justice to the individual's abilities, knowledge, and learning needs of each student.

    “Schmid and Petko (2019) supported this claim by stating that a clearly defined concept of personalized learning is still lacking; instead, it serves as an umbrella term for educational strategies that try to do justice to the individual's abilities, knowledge, and learning needs of each student.”

    From A systematic literature review of personalized learning terms (2020) · cites this paper as Schmid and Petko (2019)

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Authors
Schmid, R., & Petko, D.
Affiliations
  • Schwyz University of Teacher Education (CH)
  • University of Zurich (CH)
Corresponding author
Schmid, Regina
Venue
Computers & Education
Publisher
Elsevier BV
Published
2019-07
Volume
136
Pages
75-86
ISSN
0360-1315 (ISSN-L)
OpenAlex
W2923155503
Cited by
144
References
6
Citations by year
2026: 9 · 2025: 23 · 2024: 30 · 2023: 21 · 2022: 24 · 2021: 20 · 2020: 14 · 2019: 3
FWCI
18.98
Type
journal article
Language
en
Open access
Locations
  • Computers & Education (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
Mercator Foundation Switzerland (2011-0244)
Topics
  • Physical Sciences › Computer Science › Information Systems › Digital literacy in education
  • Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
  • Social Sciences › Education › Education and Technology Integration
Keywords
personalized learning, educational technology, digital skills, high school students, 21st century skills, self-assessment

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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