Educational Informatics

This course will bring the student at the edge of the state of the art regarding EdTech fundations (machine learning, semantic web, cognitive modeling) minimizing the technical prerequisite, while subjugating such framework to pedagogical objectives and educational values.

Responsibilities


Distinctions

Biography

ECTS Credits : 3

Learning objectives

  • Master the underlying mechanisms of online courses and digital educational resources in order to not only use such edtech but also co-construct new edtech resources.

  • Develop a critical view of such methods to put pedagogy in the center of the educational resources design.

  • Get familiar with the nowadays or soon best available tools to build and optimize innovative and smart edtech environments 

Course content

The course is organised in 4 main topics:

(30 hours)

  1. Modeling the learning objective and resources : using ontologies as a framework to specify : why to learn, what to learn and how to learn.

  2. Modeling the learning and the learner : using learning analytics to delegate low-level learning interaction to software in order to concentrate on pedagogy.

  3. Modeling the learning environment : using learning analytics to explore all available data with the aim to improve learning.

  4. Modeling the learning teacher : using machine learning non-human algorithms (e.g. deep learning) to better concentrate on the human.


Assessment and evaluation

The evaluation is going to be twofold: 

  • Short original review paper production on one aspect of these edtech (e.g., review of an existing tool, critical analysis of a research paper, …)

  • EdTech module design presentation (i.e., educational objective, low-tech versus high-tech design, learner and learning specification, edtech requirements, post design evaluation process).


Teacher

Mieke Vandewaetere, Howest. Matexi (Belgium)