Conference proceeding
Antecedents to end users' success in learning to program in an introductory programming course
VL/HCC 2007: IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, pp 69-72
01 Jan 2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Multiple factors combine to affect end users' success in learning to program. The goal of this research is to empirically investigate several factors that may. predict learning to program in an introductory programming course for end users. The findings showed that software self-efficacy, programming self-efficacy, and computer Playfulness were not direct predictors of successful programming; however, together they influenced computer interest, which in turn affected performance. The contribution of this paper is a model of the joint effects of a set of factors for end-user success in learning to program in a formal course setting.
Metrics
Details
- Title
- Antecedents to end users' success in learning to program in an introductory programming course
- Creators
- Susan Wiedenbeck - Drexel UniversityXiaoning Sun - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USAThippaya Chintakovid - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA
- Contributors
- P Cox (Editor)J Hosking (Editor)
- Publication Details
- VL/HCC 2007: IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, pp 69-72
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- CCR-0324844 / EUSES Consortium via NSF
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000251389900013
- Scopus ID
- 2-s2.0-46049102401
- Other Identifier
- 991019167439104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic