Mathematical statistics (4th ed.)
Mathematical statistics (4th ed.)
Software engineering metrics and models
Software engineering metrics and models
Designing the user interface (videotape)
Designing the user interface (videotape)
Human-computer interaction
Visual programming: the outlook from academia and industry
ESP '97 Papers presented at the seventh workshop on Empirical studies of programmers
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
An assessment and comparison of common software cost estimation modeling techniques
Proceedings of the 21st international conference on Software engineering
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
Usability Engineering
Software Engineering Economics
Software Engineering Economics
An Empirical Study of Analogy-based Software Effort Estimation
Empirical Software Engineering
Experience With the Accuracy of Software Maintenance Task Effort Prediction Models
IEEE Transactions on Software Engineering
A Comparative Study of Cost Estimation Models for Web Hypermedia Applications
Empirical Software Engineering
Metrics for Multimedia Languages
CSMR '00 Proceedings of the Conference on Software Maintenance and Reengineering
Human Performance Estimating with Analogy and Regression Models: An Empirical Validation
METRICS '98 Proceedings of the 5th International Symposium on Software Metrics
An Investigation of Analysis Techniques for Software Datasets
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Metacognitive Theories of Visual Programming: What do we think we are doing?
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
A Visual Language System for Developing and Presenting Internet-based Education
VL '98 Proceedings of the IEEE Symposium on Visual Languages
Does Metaphor Increase Visual Language Usability?
VL '99 Proceedings of the IEEE Symposium on Visual Languages
Proceedings of the working conference on Advanced visual interfaces
On the Usability Evaluation of E-Learning Applications
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
A usability evaluation method for e-learning: focus on motivation to learn
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
IEEE Transactions on Education
Cognitive effectiveness of visual instructional design languages
Journal of Visual Languages and Computing
A visual language for the creation of narrative educational games
Journal of Visual Languages and Computing
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In this paper, we present a usability study aiming at assessing a visual language-based tool for developing adaptive e-learning processes. The tool implements the adaptive self-consistent learning object SET (ASCLO-S) visual language, a special case of flow diagrams, to be used by instructional designers to define classes of learners through stereotypes and to specify the more suited adaptive learning process for each class of learners. The usability study is based on the combined use of two techniques: a questionnaire-based survey and an empirical analysis. The survey has been used to achieve feedbacks from the subjects' point of view. In particular, it has been useful to capture the perceived usability of the subjects. The outcomes show that both the proposed visual notation and the system prototype are suitable for instructional designers with or without experience on the computer usage and on tools for defining e-learning processes. This result is further confirmed by the empirical analysis we carried out by analysing the correlation between the effort to develop adaptive e-learning processes and some measures suitable defined for those processes. Indeed, the empirical analysis revealed that the effort required to model e-learning processes is not influenced by the experience of the instructional designer with the use of e-learning tools, but it only depends on the size of the developed process.