The Effectiveness of Didactic Designs for Solutions to Learning-Obstacle Problems for Prospective Mathematics Teacher Students: Case Studies on Higher-Level Derivative Concepts

Artigo2023

Entit Puspita; Didi Suryadi; Rizky Rosjanuardi

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Resumo

Various studies have concluded that many students have difficulty understanding concepts related to function derivatives. One of the concepts in function derivatives is higher-order derivatives, primarily the nth derivative pattern. This study aims to: (1) identify various types of learning obstacles experienced by prospective mathematics teacher students on high-level derivative topics; (2) design alternative didactic designs based on the findings of learning obstacles; and (3) identify the effectiveness of the didactic design developed for the learning obstacle solution. This study used a qualitative method with a Didactic Design Research (DDR). Involves 41 students who have received Differential Calculus courses and 43 second-semester students at one of the universities in Indonesia. Data from test results, interviews, and document studies were analyzed through identification, clarification, reduction, and verification techniques and presented narratively. The results showed that: (1) students were still experiencing epistemological, didactical, and ontological types of conceptual and instrumental learning obstacles; (2) the development of a didactic design based on learning obstacle findings refers to the Theory of Didactical Situation combined with the Socratic Questioning technique; and (3) the alternative didactic design is quite effective in overcoming the initial learning obstacle, but a new obstacle appears, namely the ontological psychological type obstacle. The results of this study indicate that the phenomenon of learning obstacle findings and the developed didactic design can be used to improve the quality of learning on an ongoing basis.

Dados da obra

Tipo
Artigo
Periódico
Mathematics Teaching Research Journal
Ano
2023
Palavras-chave
Preservice Teachers; Mathematics Teachers; Teacher Education Programs; Mathematics Instruction; Barriers; Mathematical Concepts; Calculus; Difficulty Level; Learning Processes; Instructional Design; Epistemology; Concept Formation; Questioning Techniques; Educational Quality; Student Attitudes; Foreign Countries
Temas
Cálculo, Formação de Professores de Matemática
Acesso
Download disponível
Fontes
ERIC — Education Resources Information Center
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
PUSPITA, Entit; SURYADI, Didi; ROSJANUARDI, Rizky. The Effectiveness of Didactic Designs for Solutions to Learning-Obstacle Problems for Prospective Mathematics Teacher Students: Case Studies on Higher-Level Derivative Concepts. Mathematics Teaching Research Journal, 2023. Disponível em: https://eric.ed.gov/?id=EJ1408209. Acesso em: 5 nov. 2026.

APA

Puspita, E., Suryadi, D., & Rosjanuardi, R. (2023). The Effectiveness of Didactic Designs for Solutions to Learning-Obstacle Problems for Prospective Mathematics Teacher Students: Case Studies on Higher-Level Derivative Concepts. Mathematics Teaching Research Journal. https://eric.ed.gov/?id=EJ1408209

BibTeX
@article{puspita2023,
  author = {Puspita, Entit and Suryadi, Didi and Rosjanuardi, Rizky},
  title = {The Effectiveness of Didactic Designs for Solutions to Learning-Obstacle Problems for Prospective Mathematics Teacher Students: Case Studies on Higher-Level Derivative Concepts},
  year = {2023},
  journal = {Mathematics Teaching Research Journal},
  url = {https://eric.ed.gov/?id=EJ1408209}
}
RIS
TY  - JOUR
AU  - Puspita, Entit
AU  - Suryadi, Didi
AU  - Rosjanuardi, Rizky
TI  - The Effectiveness of Didactic Designs for Solutions to Learning-Obstacle Problems for Prospective Mathematics Teacher Students: Case Studies on Higher-Level Derivative Concepts
PY  - 2023
JO  - Mathematics Teaching Research Journal
UR  - https://eric.ed.gov/?id=EJ1408209
ER  - 

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

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