Work

The Machine Learning Machine: A Tangible User Interface for Teaching Machine Learning

Year: 2021

Type: conference-paper

Abstract: Machine Learning (ML) is often used invisibly in everyday applications with little opportunity for consumers to investigate how it works. In this paper, we expand recent efforts to unfold what students should know about ML and how to design tools and activities allowing them to engage with ML. To do so, we explore how to make processes and aspects of ML tangible through the design of the Machine Learning Machine (MLM); a tangible user interface which enables students to create their own data-sets using pen and paper and to iteratively build and test ML models using this data. Based on insights from the design process and a preliminary pilot study with the MLM, we discuss how a tangible approach to engaging with ML can spur curiosity in students and how the iterative process of improving ML models can encourage students to reflect on the relation between data, model and predictions.

Source: International Conference on Tangible, Embedded, and Embodied Interaction (TEI)

DOI: 10.1145/3430524.3440638

Authors: Magnus Høholt Kaspersen, Karl-Emil Kjær Bilstrup, Marianne Graves Petersen

Institution: Aarhus University

Language: English

Topic: Teaching and Learning Programming

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Villum Fonden