Review, comparison and evaluation of seven assessment tools()
This document presents a comparison and review of seven entrepreneurship and entrepreneurship education assessment tools. The tools, in alphabetical order, are as follows: Entre Intention, Entrepreneurial Skills Pass (ESP), Global Entrepreneurship Monitor (GEM), HEInnovate, LoopMe, OctoSkills and Measurement Tool for Entrepreneurship Education (MTEE).
The review shows that there is a great variation between the tools in sense of their focus, target group, usability, visibility, accessibility and status. However, the variation of the tools highlight the fact that both entrepreneurship and entrepreneurship education (EE) are very broad phenomenon which need to be evaluated or assessed accordingly. Some of the tools are in emerging stage, whereas some have already established its role in the market. All of the tools play its role and there is very little if any overlap between the tools.
The tools cover the area of EE rather well. It seems that most needs for evidence about entrepreneurship education can be gained from the data. This means, that it could be possible to manage and develop entrepreneurship basing on solid evidence. However, all the tools have very different ways to create the evidence. That is, the informants, type of data, and type of reporting about the results are very different. Even more importantly, many of the tools seem to perform well in doing the impact they were supposed to do. However, these tools lack the publicity, visibility, accessibility and usability that are necessary for them to become real vehicles for promoting entrepreneurship.
The evaluation builds on a many-sided perspective of the assessment tool for entrepreneurship education and it identifies the central elements of a good assessment tool for EE.
A good assessment tool for entrepreneurship education…
• motivates the respondent, even the actual responding is an intervention
• provides longitudinal data for both the respondent and the analyst
• generates data that produces results on many different levels (e.g. respondent, group, school, municipality, region, country…)
• is able to produce high quality data for research and to contribute research
• is connected to the research and produce new knowledge about entrepreneurship
• is able to produce the impact that it was supposed to do
• is easy to use, easily accessible, visible, recognizable, gives the advice to use and gives the feedback