Intel's approach to evaluation
In Evaluating Effective Teaching and Learning within Complex Levels of Interaction, we explain how Intel uses evaluation data and reports collected from successful ICT implementations in over 60 countries to guide our approach to teaching and learning.
This PDF also discusses a model of strategic evaluation design and key findings. The systemic factors associated with understanding classroom-level change are also presented.
Learn about Intel's approach [pdf]
Read about Intel's key evaluation partners [pdf]
Learn about Intel’s approach to evaluation partnerships around the world [pdf]
Strategic outcomes model
Useful evaluation should reveal how well programs perform in relation to key goals. Evaluation design begins with the development of clear program goals and indicators that can measure program impact.
The Intel® Education Initiative global evaluations are designed using a strategic outcomes model, which defines a set of outcomes for teachers and students based on program goals and prior evaluation results.
Global implementation
Documenting global implementation of this program is challenging due to the diversity of program settings. Localized programs are unique in terms of their educational and social environments, as well as their size and maturity.
Therefore, international evaluation teams follow a flexible strategy that combines global measures with localized research based on the program maturity and the specific needs of each country.
Read more about how program maturity influences evaluation design [pdf]
The research methodology context
Evaluation is the systematic study of a program or set of events over a period of time to assess effectiveness in terms of intended outcomes. Unlike experimental research, in which the specific requirements of the research methodology drive the design of a study, evaluation must be designed to accommodate the unique characteristics of the program and the realities of the environments in which it is implemented.
Intel Education program evaluation designs involve the collection of participant perceptions about the program and measurement of participant behaviors after the program. These data are then analyzed, and the findings help program staff understand the impact of the program and inform program improvement.