Studying Programming Students Motivation using Association Rules

Paula Correia Tavares, Elsa Ferreira Gomes, Pedro Rangel Henriques

2018

Abstract

For Programming teachers it is of utter most importance to understand the factors that impact on students’ motivation to improve their ability to become good computer programmers. To understand a problem, to develop an algorithm for its solution, and to write the corresponding program is a challenging and arduous task, demanding time and self-confidence. In previous work we studied computer based technics to engage students in the learning activity; visualization, animation, automatic program assessment were some approaches that we combined. To support that work we studied carefully students’ motivation and complemented that study with an inquiry to a group of students of Algorithm and Programming course of the first year of an Engineering degree. In this paper we show how Association Rules can be used to mine the data gathered in the inquiry to discover relationships among factors influencing extrinsic motivation.

Paper Citation

in Harvard Style

Correia Tavares P., Ferreira Gomes E. and Rangel Henriques P. (2018). Studying Programming Students Motivation using Association Rules.In - A2E, ISBN , pages 0-0. DOI: 10.5220/0006816805140520

in Bibtex Style

@conference{a2e18,
author={Paula Correia Tavares and Elsa Ferreira Gomes and Pedro Rangel Henriques},
title={Studying Programming Students Motivation using Association Rules},
booktitle={ - A2E,},
year={2018},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006816805140520},
isbn={},
}

in EndNote Style

TY - CONF

JO - - A2E,
TI - Studying Programming Students Motivation using Association Rules
SN -
AU - Correia Tavares P.
AU - Ferreira Gomes E.
AU - Rangel Henriques P.
PY - 2018
SP - 0
EP - 0
DO - 10.5220/0006816805140520