research-article

High vs. low intensity courses: student technological behavior

Authors:

Ernest Redondo,

Lluís Giménez,

Francesc Valls,

Isidro Navarro,

Sergi VillagrasaAuthors Info & Claims

TEEM '15: Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality

Pages 77 - 82

https://doi.org/10.1145/2808580.2808593

Published: 07 October 2015 Publication History

Abstract

This paper discusses the design of two educational proposals centered on Project-Based Learning (PBL) and the use of Information and Communication Technologies (ICT). Both courses are focused on the spatial representation of 3D models in architectural training. The object of study focuses on comparing the students' competence and motivation in two different educational scenarios: a low-density experience where 3-4 software applications are used and a high density "crash course" using about 15 different applications and techniques. For the analysis of the results of this phase, a quantitative approach was designed to compare both groups and review the students' motivation and pre-course competence. The results obtained show that the two groups had similar technological profiles that supports the realization of both proposals and comparison of results. However, assessing the different degrees of initial motivation between the two groups, entails that, in the final examination of the proposal, the results must be cross-checked.

References

[1]

Beauchamp, G., Parkinson, J., 2008: Pupils' attitudes towards school science as they transfer from an ICT-rich primary school to a secondary school with fewer ICT resources: Does ICT matter?, Education and Information Technologies, 13(2), pp 103--118.

[2]

Volman, M., Eck, E. V., Heemskerk, I., Kuiper, E., 2005: New technologies, new differences. Gender and ethnic differences in pupils' use of ICT in primary and secondary education, Computers & Education, 45(1), pp. 35--55.

[3]

Petre, M., Price, B., 2004: Using Robotics to Motivate 'Back Door', Learning, Education and Information Technologies, 9(2), pp. 147--158.

[4]

Leask, M., Pachler, N., 2013: Learning to Teach Using ICT in the Secondary School: A Companion to School Experience, Ed. Routledge, pp.280.

[5]

Margaryan, A., Littlejohn, A., Vojt, G., 2011: Are digital natives a myth or reality? University students' use of digital technologies, Computers & Education, 56(2), pp. 429--440.

[6]

Fonseca, D., Redondo, E., Sánchez, A., Villagrasa, S., Martí, N. 2013: Visualization methods in architecture education using 3D virtual models and augmented reality in mobile and social networks, Procedia - Social and Behavioral Sciences 93, pp.1337--1343

[7]

Schmidt, H. G., Loyens, S. M. M., Gog, T. V., Paas, F., 2007: Problem-Based Learning is Compatible with Human Cognitive Architecture: Commentary on Kirschner, Sweller, and Clark (2006), Educational Psychologist, 42(2).

[8]

Fonseca, D., Pifarré, M., Redondo, E., Alitany, A., Sánchez, A., 2013: Combination of qualitative and quantitative techniques in the analysis of new technologies implementation in education: Using augmented reality in the visualization of architectural projects, In Proc. of 8° Conferencia Ibérica de Sistemas y Tecnologias de Información, Edit: Alvaro Rocha, et al. Vol.1(1), pp. 205--211

[9]

Redondo, E., Sánchez, A., Fonseca, D., Navarro, I., 2014: Geo-Elearning for urban projects. New educational strategies using mobile devices. A case study of educational research, Architecture, City and Environment, 8(24), pp. 100--132.

[10]

Redondo, E., Navarro, I., Sánchez, A., Fonseca, D. 2013: Implementation of augmented reality in 3.0 learning methodology: Case studies with students of architectural degree, in Social Media and the New Academic Environment: Pedagogical Challenges. IGI Global, edited by Patrut, B., Patrut, M., & Cmeciu, C. pp. 391--413.

[11]

Fonseca, D., Martí, N., Redondo, E., Navarro, I., Sánchez, A. 2013: Relationship between student profile, tool use, participation, and academic performance with the use of Augmented Reality technology for visualized architecture models. Computers in Human Behavior. Vol 31, pp. 434--445.

[12]

Shen, C. X., Liu, R. D., Wang, D., 2013: Why are children attracted to the Internet? The role of need satisfaction perceived online and perceived in daily real life. Computers in Human Behavior, 29, 185--192.

[13]

Fassi, F., 2007: 3D modeling of complex architecture integrating different techniques -- a critical overview. The Int. Arch. of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Zurich, Vol. XXXVI-5/W47, 11p.

[14]

Grussenmeyer, P., Hanke, K., 2002: Architectural photogrammetry, in Digital Photogrammetry, edited by M. Kasser, Y. Egels, Taylor & Francis, pp. 300--339.

[15]

Hullo, J.-F, Grussenmeyer, P., Fares, S., 2009: Photogrammetry and dense stereo matching approach applied the documentation of the cultural heritage of Kilwa (Saudi Arabia). CIPA 2009, Kyoto, Japan, 6p.

[16]

Hannah, M., 1989: A System for Digital Stereo Image Matching, Photogrammetric Engineering and Remote Sensing, 55(12), pp. 1765--1770.

[17]

Hoff, W., Ahuja, N., 1989: Surfaces from Stereo - Integrating Feature Matching, Disparity Estimation, and Contour-Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(2), pp. 121--136.

[18]

Guidi, G., Beraldin, J., Atzeni, C., 2004: High-accuracy 3D modeling of cultural heritage: the digitizing of Donatello's "Maddalena" Trans. Image Processing, 13(3), pp. 370--380.

[19]

Yang, M. Wu, Y., 2008: A stereo matching algorithm for DSM generation from high resolution aerial images, Publishing House Electronics Industry, Beijing, PO Box 173.

[20]

Zenati, N. Zerhouni, N., 2007: Dense Stereo Matching with Application to Augmented Reality, Signal Processing and Communications, pp. 1503.

[21]

Lhuillier, M., Quan, L., 2005: A quasi-dense approach to surface reconstruction from uncalibrated images, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27(3), pp. 418--433.

[22]

Wu, T., Yeung, S., Jia, J., Tang, C., 2010: Quasi-Dense 3D Reconstruction using Tensor-based Multiview Stereo, Conf. on Computer Vision and Pattern Recognition pp. 1482--1489.

[23]

Dooley, R., Hanlon, M. R., 2014: Recipes 2.0: Building for today and tomorrow, Concurrency and Computation. Practice and Experience, 27(2), pp.258--270.

[24]

Zheng, Z., Cheng, J., Peng, J., 2015: Design and implementation of teaching system for mobile cross-platform, International Journal of Multimedia and Ubiquitous Engineering. 10(2), pp. 287--296.

[25]

Oat, E., Francesco, M. D., Aura, T., 2014: MoCHA: Augmenting pervasive displays through mobile devices and web-based technologies. IEEE International Conference on Pervasive Computing and Communication, pp. 506--511.

[26]

Gutiérrez, J. M., Domínguez, M. G., González, C. R., 2015: Using 3D virtual technologies to train spatial skills in engineering, International Journal of Engineering Education. 31(1), pp. 323--334.

[27]

Martín-Gutiérrez, J., García-Domínguez, M., Roca-González, C., Sanjuán-HernanPérez, A., Mato-Carrodeguas, C., 2013: Comparative analysis between training tools in spatial skills for engineering graphics students based in virtual reality, augmented reality and PDF3D technologies, Procedia Computer Science, 25, pp. 360--363.

[28]

Breuel, F., Berndt, R., Ullrich, T., Eggeling, E., Fellner, D. W., 2011: Mate in 3D - Publishing interactive content in PDF3D, 15th Int. Conf. Electronic Publishing, pp. 110--119.

[29]

Gero, A., Zoabi, W., 2014: Computer animation and academic achievements: Longitudinal study in electronics education, Int. J. of Eng. Education, 30(5), pp. 1295--1302.

[30]

Yan, W., Culp, C., Graf, R., 2011: Integrating BIM and gaming for real-time interactive architectural visualization. Automation in Construction, 20(4), pp. 446--458.

[31]

Overend, F. R., Bassett, G., 1987: Increasing the benefits of CADCAM through effective implementation planning, Computer-aided engineering journal, 4(5), pp. 202--205.

[32]

Mostert-Van Der Sar, M., Mulder, I., Remijn, L., Troxler, P., 2013: FabLabs in design education, Proceedings of the 15th International Conference on Engineering and Product Design Education, pp. 629--634.

[33]

D'Agnano, F., Balletti, C., Guerra, F., Vernier, P., 2015: Tooteko: A case study of augmented reality for an accessible cultural heritage. Digitization, 3D printing and sensors for an audio-tactile experience, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 40(5W4), pp. 207--213.

[34]

Reed, A. M., 2011: 3D printing in the architectural-engineering-construction market. Technical Paper - Society of Manufacturing Engineers. Volume TP11PUB21, pp. 1--7.

[35]

Gantt, P. A., 1998: Maximizing multimedia for training purposes {Online} Available: The Technology Source. http://horizon.unc.edu/TS/vision/

[36]

Callaway, E., 2009: iTunes university' better than the real thing. {Online} Available: http://www.newscientist.com/article/dn16624-itunes-university-better-than-the-real-thing.html Accessed 15 February 2012

[37]

Hassenzahl, M., Tractinsky, N., 2006: User experience a research agenda, Behaviour & Information Technology 25(2), pp. 91--97.

[38]

Fonseca, D., Villagrasa, S., Redondo, E., 2014: Mixed-methods research: A new approach to evaluating the motivation and satisfaction of university students using advanced visual technologies, Universal Access in the Information Society, Vol.13(3).

[39]

Gosset, W. S., 1908: The Probable error of a mean. Biometrika. 6, pp. 1--25.

Cited By

Rocha LKrassmann ANotare MVidotto K(2024)BIM associated with virtual and augmented reality resources in an educational context: a systematic literature reviewInteractive Learning Environments10.1080/10494820.2024.2350647(1-14)Online publication date: 9-May-2024
https://doi.org/10.1080/10494820.2024.2350647
Campanyà CFonseca DMartí NPeña EFerrer ALlorca J(2018)Identification of Significant Variables for the Parameterization of Structures Learning in Architecture StudentsTrends and Advances in Information Systems and Technologies10.1007/978-3-319-77700-9_30(298-306)Online publication date: 24-Mar-2018
https://doi.org/10.1007/978-3-319-77700-9_30
Peña EFonseca DMartí N(2016)Relationship between learning indicators in the development and result of the building engineering degree final projectProceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3012430.3012537(335-340)Online publication date: 2-Nov-2016
https://dl.acm.org/doi/10.1145/3012430.3012537
Show More Cited By

Index Terms

High vs. low intensity courses: student technological behavior

Recommendations

Technological adaptation of the student to the educational density of the course. A case study

The main objective of this study was to assess the degree of students adaptation to two types of courses on applications of architectural spatial representation. With the same semester lengths, the first proposal involved lectures on 45 applications, ...
What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC
L@S '21: Proceedings of the Eighth ACM Conference on Learning @ Scale

Question generation as a form of learnersourcing is both a metacognitive learning activity for students that encourages the development of higher-order thinking skills and a method for producing question banks and assessments. To better understand the ...
Podcasting as a Good Way to Learn Second Language in e-Learning
IC4E '17: Proceedings of the 8th International Conference on E-Education, E-Business, E-Management and E-Learning

This paper analyzes the integration of podcasts in the process of English language teaching in e-Education of the first-, second- and third-year students. Communication competence includes four main activities: speaking, listening, reading, and writing. ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

TEEM '15: Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality

October 2015

674 pages

ISBN:9781450334426

DOI:10.1145/2808580

Conference Chair:
Gustavo R. Alves
Polytechnic of Porto, Portugal

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

University of Salamanca: University of Salamanca
CIETI: Center for Innovation in Engineering and Industrial Technology
GRIAL: Research GRoup on InterAction and eLearning
ISEP: Instituto Superior de Engenharia do Porto

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 October 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

TEEM '15

Sponsor:

University of Salamanca
CIETI
GRIAL
ISEP

TEEM '15: 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality

October 7 - 9, 2015

Porto, Portugal

Acceptance Rates

Overall Acceptance Rate 496 of 705 submissions, 70%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
59
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 11 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Rocha LKrassmann ANotare MVidotto K(2024)BIM associated with virtual and augmented reality resources in an educational context: a systematic literature reviewInteractive Learning Environments10.1080/10494820.2024.2350647(1-14)Online publication date: 9-May-2024
https://doi.org/10.1080/10494820.2024.2350647
Campanyà CFonseca DMartí NPeña EFerrer ALlorca J(2018)Identification of Significant Variables for the Parameterization of Structures Learning in Architecture StudentsTrends and Advances in Information Systems and Technologies10.1007/978-3-319-77700-9_30(298-306)Online publication date: 24-Mar-2018
https://doi.org/10.1007/978-3-319-77700-9_30
Peña EFonseca DMartí N(2016)Relationship between learning indicators in the development and result of the building engineering degree final projectProceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3012430.3012537(335-340)Online publication date: 2-Nov-2016
https://dl.acm.org/doi/10.1145/3012430.3012537
Canaleta XFonseca DNavarro ICliment AVicent L(2016)Improving computational skills and curriculum of vocational training students. case studyProceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/3012430.3012501(85-90)Online publication date: 2-Nov-2016
https://dl.acm.org/doi/10.1145/3012430.3012501
Fonseca DCliment AVicent LCanaleta X(2016)Learning4Work. Designing a New Evaluation System Based on Scenario Centered Curriculum Methodology: The Pre-testLearning and Collaboration Technologies10.1007/978-3-319-39483-1_1(3-13)Online publication date: 21-Jun-2016
https://doi.org/10.1007/978-3-319-39483-1_1

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents