About this paper

Appears in:
Pages: 8617-8622
Publication year: 2017
ISBN: 978-84-697-3777-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2017.0610

Conference name: 9th International Conference on Education and New Learning Technologies
Dates: 3-5 July, 2017
Location: Barcelona, Spain


M. Marí-Benlloch1, M. Martínez-Gómez2, V. Giner-Bosch2, J.A. Marin-Garcia3

1Universitat Politècnica de València (SPAIN)
2Universitat Politècnica de València, Centre for Quality and Change Management (SPAIN)
3Universitat Politécnica de Valencia, ROGLE-DOE (SPAIN)
Currently, one of the prerequisites required by companies is that professionals improve their qualifications in soft skills. The innovation competency appears as a source of competitive advantage in the business world. Innovation has become a relevant factor for the achievement of a competitive suitable advantage of companies in the market. However, it is not easy to define innovation, since it implies the acquisition of different capabilities and skills, such as, creativity, critical thinking, initiative, independent thinking, team work, networking, etc. The main purpose of this paper is to apply a e Nonmetric Multidimensional Scaling (MDS) (PROXSCAL) to identify key dimensions underlying respondents’ students, to detect the most relevant skills to be included in assessment innovation competency as an alternative method to validate questionnaires. We used the INCODE-ICB-v6 questionnaire as the measurement instrument of innovation which measures the innovation construct with a series of 25 items, grouped into three categories: individual, teamwork and network. Responses were given a score of between 1 and 5 (1= major improvement needed; 5= excellent). The items included in the INCODE-ICB-v6 questionnaire to measure each of the competencies was defined in previous studies. The different items were presented in a random ordered list, not with the structure expected in each category. We applied a MDS, as a kind of concept mapping analysis with a sample of 918 students of a Massive Online Open Courses (MOOC) from a Spanish public university in the academic year 2014-2015, to perform an affinity diagram. This process consists of two stages. First, the participants, working individually, group the items in the category they think is best, to infer the underlying dimensions of the questionnaire according to a series of similarity or dissimilarity provided by students about the items. Then, we represent items in a perceptual map to appreciate the spatial representation of data to clarify underlying relationships. MDS analyses were carried out with two databases, one for four categories model and second for up to ten categories model. The results of multidimensional scaling confirm the structure of these three components in both models. Results shown that the internal consistency of theorist components of innovation is high in both models, for four and up to ten categories. In order to make calculations easier and faster, a routine in Visual Basic for Applications (VBA) was programmed.
author = {Mar{\'{i}}-Benlloch, M. and Mart{\'{i}}nez-G{\'{o}}mez, M. and Giner-Bosch, V. and Marin-Garcia, J.A.},
series = {9th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN17 Proceedings},
isbn = {978-84-697-3777-4},
issn = {2340-1117},
doi = {10.21125/edulearn.2017.0610},
url = {https://dx.doi.org/10.21125/edulearn.2017.0610},
publisher = {IATED},
location = {Barcelona, Spain},
month = {3-5 July, 2017},
year = {2017},
pages = {8617-8622}}
AU - M. Marí-Benlloch AU - M. Martínez-Gómez AU - V. Giner-Bosch AU - J.A. Marin-Garcia
SN - 978-84-697-3777-4/2340-1117
DO - 10.21125/edulearn.2017.0610
PY - 2017
Y1 - 3-5 July, 2017
CI - Barcelona, Spain
JO - 9th International Conference on Education and New Learning Technologies
JA - EDULEARN17 Proceedings
SP - 8617
EP - 8622
ER -
M. Marí-Benlloch, M. Martínez-Gómez, V. Giner-Bosch, J.A. Marin-Garcia (2017) A MULTIDIMENSIONAL SCALING TO ASSESMENT INNOVATION COMPETENCY, EDULEARN17 Proceedings, pp. 8617-8622.