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Designing Questions to Teach Python with a Classroom Response System

Authors:
Luis A. Álvarez-González
Gabriela González-Sáez
Esteban Huenumán

Keywords: learning; Classroom Response Systems; Question Driven Instruction; Python Language

Abstract:
To do an effective class using a Classroom Response System, two important questions appear: What questions to ask? and How to ask them? This paper tries to contribute with answers for these questions for an introductory course of Python language. For the first question, the Question Driven Instruction (QDI) methodology is introduced. For the second one, the questions are divided in content questions and process questions according to the content objectives and process objectives. Some examples questions are shown. The Classroom Response System (CRS) called “Mobile QTI” is used. “Mobile QTI” was designed for mobile devices (tablets and smartphones), supports eight types of questions, and is under IMS Question & Test Interoperability Specification (QTI). Finally, an experiment is presented in order to validate the methodology. The experiment shows a relationship between Grade Point Average (GPA) and the use of the QDI and the CRS Mobile QTI.

Pages: 36 to 42

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4367

ISBN: 978-1-61208-471-8

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016