Adaptive Learning Case Studies Implementation at Architectural BIM Construction Courses

Jose Ferrándiz*, David Fonseca

*Corresponding author for this work

Research output: Book chapterConference contributionpeer-review

Abstract

This paper aims to detail the changes in two BIM construction courses of the architecture degree at the American University of Ras Al Khaimah (AURAK), and the process of analyzing the data collected from them. At the course level we explain the changes effected in the grading criteria and the adaptive approach of the teaching material. At the methodology level we describe the types of data collected and the statistical analysis methods. These elements will establish a clear reproducible pedagogical methodology, clarifying its benefits and scientific, reproducible and proven analysis method.

Original languageEnglish
Title of host publicationLearning and Collaboration Technologies. Designing Learning Experiences - 6th International Conference, LCT 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsPanayiotis Zaphiris, Andri Ioannou
PublisherSpringer Verlag
Pages346-356
Number of pages11
ISBN (Print)9783030218133
DOIs
Publication statusPublished - 2019
Event6th International Conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11590 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/TerritoryUnited States
CityOrlando
Period26/07/1931/07/19

Keywords

  • AEC
  • BIM
  • Curriculum
  • Enhanced learning
  • Higher education
  • Mixed methods
  • Motivation
  • Satisfaction
  • User centered evaluation
  • User profile

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