Learning analytics in mathematics education: the case of feedback use in a digital classification task on reflective symmetry

Artigo2024

Arnon Hershkovitz ORCID; Norbert Noster ORCID; Hans-Stefan Siller ORCID; Michal Tabach ORCID

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Resumo

Abstract Learning Analytics is concerned with the use of data collected in educational settings to support learning processes. We take a Learning Analytics approach to study the use of immediate feedback in digital classification tasks in mathematics. Feedback serves as an opportunity for learning, however its mere existence does not guarantee its use and effectiveness, as what matters is how learners interact with it. Therefore, our research questions are focused on that interaction. The data consisted of 266 object movements for classifying polygons, and 524 shape movements for classifying traffic signs, under the topic of symmetry. Participants included 29 elementary school students (9–12 years old) from Israel and Germany. Analyzing students’ success, feedback use, and the associations between them, we demonstrate how not acting upon feedback is negatively associated with success, and how this undesired behavior slightly reduces along the learning process.

Dados da obra

Tipo: Artigo
Periódico: ZDM, v. 56, n. 4, p. 727-739
Editora: Springer Science+Business Media
Ano: 2024 (2024-03-03)
Idioma: en
Palavras-chave: learning analytics; feedback use; immediate feedback; reflective symmetry; symmetry; polygons; traffic signs; elementary school students; student success; mathematics learning
DOI: 10.1007/s11858-024-01551-5
ISSN: 1615-679X, 1863-9690, 1863-9704
Licença: cc-by
Acesso: Acesso aberto
Fontes: OpenAlex
Na Biblioteca desde: 01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
HERSHKOVITZ, Arnon et al.. Learning analytics in mathematics education: the case of feedback use in a digital classification task on reflective symmetry. ZDM, v. 56, n. 4, p. 727-739, 2024. DOI: https://doi.org/10.1007/s11858-024-01551-5.

APA

Hershkovitz, A., Noster, N., Siller, H. S., & Tabach, M. (2024). Learning analytics in mathematics education: the case of feedback use in a digital classification task on reflective symmetry. ZDM, 56(4), 727-739. https://doi.org/10.1007/s11858-024-01551-5

BibTeX

@article{hershkovitz2024,
  author = {Hershkovitz, Arnon and Noster, Norbert and Siller, Hans-Stefan and Tabach, Michal},
  title = {Learning analytics in mathematics education: the case of feedback use in a digital classification task on reflective symmetry},
  year = {2024},
  journal = {ZDM},
  volume = {56},
  number = {4},
  pages = {727-739},
  publisher = {Springer Science+Business Media},
  doi = {10.1007/s11858-024-01551-5},
  language = {en}
}

RIS

TY  - JOUR
AU  - Hershkovitz, Arnon
AU  - Noster, Norbert
AU  - Siller, Hans-Stefan
AU  - Tabach, Michal
TI  - Learning analytics in mathematics education: the case of feedback use in a digital classification task on reflective symmetry
PY  - 2024
JO  - ZDM
VL  - 56
IS  - 4
SP  - 727
EP  - 739
DO  - 10.1007/s11858-024-01551-5
LA  - en
ER  -

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS