|
Descripción
|
|
|---|---|
| Chapter 168 Data Mining to Identify Project Management Strategies in Learning Environments Ana González-Marcos, Joaquín Ordieres-Meré, Fernando Alba-Elías Projects have become a key strategic working form. It is agreed that project performance must achieve its objective and be aligned with criteria that the project stakeholders establish. The usual metrics that are considered are cost, schedule and quality. Configuration for the management of projects is a matter of decision that influences the project?s evolution. There also are factors like virtual teamwork and team building processes that are relevant to that evolution. Effectiveness in managing projects depends on these factors and is investigated in this work by means of Educational Data Mining as they can help to build more effective learning and operating procedures. The conclusions from this study can help higher education course designers as well as teachers and students, by making apparent the influence of smarter strategies in the learning process. In fact, the same benefits will help practitioners too, as they can improve their continuous learning procedures and adjust their project management policies and strategies. | |
|
Internacional
|
Si |
|
DOI
|
10.4018/978-1-5225-2255-3 |
|
Edición del Libro
|
|
|
Editorial del Libro
|
IGI Global |
|
ISBN
|
9781522522553 |
|
Serie
|
|
|
Título del Libro
|
Encyclopedia of Information Science and Technology, Fourth Edition |
|
Desde página
|
16801 |
|
Hasta página
|
16823 |