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SCORM-compatible digital image processing e-learning curriculum delivered in Moodle

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The curriculum is a SCORM-compatible content package delivered through Moodle, chosen because it is open-source and free, with logging capability the author found suitable to map learning habits. It is built on six pillars: "e-learning, the didactic template, the text of the material, the images and the animations, the demonstration programs and the evaluation system", is reachable anytime by any internet-capable device, and is customizable, interactive and multi-media. It covers topics from the human visual model through digitizing, transforms, convolution, morphology, segmentation and image formats.

Design Implications

Context

Requirements

  • An LMS with logging capability suitable to map the learning habits of students, as the article found in Moodle

Constraints

  • The course is optional, so the design also targets keeping the dropout rate at a very low level

Target Learners

  • daytime and correspondence university students of digital image processing with a wide range of age, interest, previous studies and motivation

Learning Goals

  • understanding and applying digital image processing algorithms and their theoretical background using GIMP, ImageJ and MATLAB

Claims

Examples

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Key Sources

  • Sándor Király. (2016). How to Implement an E-learning Curriculum to Streamline Teaching Digital Image Processing. Acta Didactica Napocensia, Volume 9, Number 2. https://portal.issn.org/resource/ISSN/2065-1430
Page metadata
Field Value
type design
id scorm-moodle-digital-image-processing-curriculum
title SCORM-compatible digital image processing e-learning curriculum delivered in Moodle
description The curriculum is a SCORM-compatible content package delivered through Moodle, chosen because it is open-source and free, with logging capability the author found suitable to map learning habits.
status review
generated by process:settle-candidates on 2026-11-02
trust unverified — no one has confirmed this page's content
sources 1 — sándor-király-2016

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