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Instructional model for interactive quantitative-reinforcement tutoring platforms

Design · All designs
Evidence · no claims cited

Description

The article proposes an instructional model serving as "a basic structural unit for the creation of educational reinforcement platforms" for quantitative competences at university. It is structured in two stages: a diagnostic stage using multiple-choice questions with hint and NA options, and a reinforcement stage of sequenced exercises of increasing difficulty with immediate explanatory feedback. The model is designed to be replicable by instructors lacking programming skills on free platforms such as Genially.com or Canva.

Design Implications

Context

Requirements

  • Free interactive platform software such as Genially.com or Canva with conditional screen-jumping functionality
  • Instructor-authored content: diagnostic questions, theory explanations, exercise sequences, and feedback

Constraints

  • Designed for mathematics and quantitative disciplines; in other disciplines the optimal reinforcement strategy may differ
  • Question type should be adapted depending on target students' needs (age, special educational needs, gifted students)

Target Learners

  • new incoming university students with heterogeneous quantitative backgrounds

Learning Goals

  • quantitative competences
  • foundational mathematics and statistics knowledge

Claims

Examples

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Key Sources

  • Rodríguez Rincón, Y., Munárriz, A., Campión Arrastia, M. J., & Goicoechea López-Vailo, M. I. (2025). Instructional design for tutoring on interactive platforms: creating educational interventions overcoming the digital gap. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10516-8
Page metadata
Field Value
type design
id instructional-model-interactive-quantitative-reinforcement-platforms
title Instructional model for interactive quantitative-reinforcement tutoring platforms
description The article proposes an instructional model serving as "a basic structural unit for the creation of educational reinforcement platforms" for quantitative competences at university.
status review
generated by process:settle-candidates on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — rodríguez-rincón-2025

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