Abstract:This article addresses academics who innovate in higher education and their characteristics. We undertake a qualitative case study of six individuals who implemented disruptive and transformative pedagogical approaches and curricular practices in their departments and/or at their institutions. Our findings point to six common characteristicsmotivation to change institutionalized practices, interest in change, experience in the field, multiembeddedness, authority to act, and the strategic use of social networks… Show more
“…A large-scale study conducted in the higher education context (S. Manca & Ranieri, 2016a) cited the lack of time, the lack of administrative support, and the increase in workload as being some of the barriers that hinder the usage of social media. This situated HEIs as inhibitors rather than facilitators of technology adoption (Hasanefendic et al, 2017). For example, the findings by Corcoran and Duane (2018) found that knowledge sharing on social media platforms are limited due to the prevalent organization structure and culture in higher education.…”
This article presents a two-phase study exploring the usage of technology in higher education as well as the role of the general innovativeness in predicting the actual use of technology. During the first phase of the study, which involved 502 staff members, a descriptive analysis of their usage of social media, technological devices, and Microsoft Office 365 cloud services was performed, with various demographic variables being considered. During the second phase, which involved a subsample of 106 staff members, structural equation modeling (SEM) was used to examine a model in which the general innovativeness and the demographic variables acted as predictors of the actualized innovativeness. The results showed that the staff used social media, devices, and cloud services quite satisfactorily. The examination of their user profiles revealed that there were significant differences among the staff members on the basis of their demographic variables, especially their gender, job type, and discipline. The results of the SEM showed that the general innovativeness contributed positively, as was expected, to predicting the adoption of devices, non-academic social networking sites and Office 365 cloud services. The results further suggested that males were early adopters of devices, while academics were early adopters of commercial services and academic social networking sites. However, the academics appeared to lag behind the administrators in terms of adopting Office 365 cloud services. The implications of the study and directions for future research are also presented.
“…A large-scale study conducted in the higher education context (S. Manca & Ranieri, 2016a) cited the lack of time, the lack of administrative support, and the increase in workload as being some of the barriers that hinder the usage of social media. This situated HEIs as inhibitors rather than facilitators of technology adoption (Hasanefendic et al, 2017). For example, the findings by Corcoran and Duane (2018) found that knowledge sharing on social media platforms are limited due to the prevalent organization structure and culture in higher education.…”
This article presents a two-phase study exploring the usage of technology in higher education as well as the role of the general innovativeness in predicting the actual use of technology. During the first phase of the study, which involved 502 staff members, a descriptive analysis of their usage of social media, technological devices, and Microsoft Office 365 cloud services was performed, with various demographic variables being considered. During the second phase, which involved a subsample of 106 staff members, structural equation modeling (SEM) was used to examine a model in which the general innovativeness and the demographic variables acted as predictors of the actualized innovativeness. The results showed that the staff used social media, devices, and cloud services quite satisfactorily. The examination of their user profiles revealed that there were significant differences among the staff members on the basis of their demographic variables, especially their gender, job type, and discipline. The results of the SEM showed that the general innovativeness contributed positively, as was expected, to predicting the adoption of devices, non-academic social networking sites and Office 365 cloud services. The results further suggested that males were early adopters of devices, while academics were early adopters of commercial services and academic social networking sites. However, the academics appeared to lag behind the administrators in terms of adopting Office 365 cloud services. The implications of the study and directions for future research are also presented.
“…Many innovations in education do not result into the desired changes. Next to institutional factors, teachers' behaviour to cope with innovations is of utmost importance for understanding the success or failure of innovations (Hasanefendic et al, 2017). Teachers play a crucial role in innovations (George & Sabapathy, 2011;Koeslag-Kreunen, Van der Klink, Van den Bossche & Gijselaers, 2018).…”
Our study aims to develop and validate a multidimensional Innovative Work Behaviour instrument to measure teachers IWB. Current IWB conceptualizations and operationalizations need further attention. Existing measurements miss empirical evidence of the construct validity and moreover do not include a sustainability dimension. Based on a thorough and comprehensive conceptualization of IWB, we first adapted and extended the items of previously used instruments and developed items for a sustainability dimension. Second, we tested the construct validity of this newly developed multi-dimensional IWB instrument in a Dutch context, using Rasch techniques and Confirmatory Factor Analysis (CFA). The psychometric characteristics were examined in a sample of teachers working in vocational education (N = 440). The results revealed five dimensions of IWB, namely Opportunity Exploration, Idea Generation, Idea Promotion, Idea Realization (differentiated in two sub-dimensions: Criterion-based implementation and learning-based communication) and Idea sustainability (differentiated in two sub-dimensions: External dissemination and internal embedding). The dimensions were reliably measured (α .84-.94) using 44 items. This new instrument, which builds on recent conceptualizations of IWB as well as on the pivotal innovation models of Farr (1989) andFullan (2007), offers for an international group of researchers a conceptually sound and valid tool to validate explanatory models of innovative teacher behaviour. For practitioners in the domain of educational innovation, it offers the opportunity to diagnose, in a sound way, the extent of the necessary conditions of teachers IWB for an educational innovation to succeed.
“…The concept of an institutional entrepreneur focuses on the role of HEIs as a change agent which participates in the designing of a particular institutional arrangement through involving different strategies (organizing sufficient resources and mobilizing resources and power) to enact the institutional changes [7][8][9], and the new role makes HEIs more socially responsible. Merton et al [10] examined the impact of changing of curriculum (in two US universities) and found that implementation of changed learning processes and curriculum was influenced by how well the changes in learning processes are associated with the arrangements and culture of the institutions, which directly have an impact on the success of innovation [10,11]. In another study on educational system transformation, Furst-Bowe [12] strongly suggests the need for a system thinking approach for changing the HEIs' educational programs, learning processes, strategy, and management [12].…”
Section: Introductionmentioning
confidence: 99%
“…In order to create successful innovation, HEIs depend on its social networking capabilities such as how they collect resources, facilitate the knowledge dissemination process, and identify opportunities by forming social ties [11,13], thus increasing legitimacy for collective action and social innovation process. Social innovation in HEIs usually comes as a consequence of collective action and collaboration with institutional actors of the innovation ecosystem [14,15], low level of collaboration reduce the chances of co-development and co-creation of social innovation (CoSoI).…”
This study examined the role of Higher Educational Institutions (HEIs) in promoting, creating, and sustaining social innovation. Recently, HEIs have extended their contribution beyond the traditional function of teaching and research to perform in socio-economic problem-solving. Considering the increasing trends of higher education involvement in social innovation practices, this study tries to examine the tools such as learning processes and systemic thinking approach that could be helpful to align the function and responsibilities of HEIs towards social innovation. The objective is to develop a theoretical understanding of the “co-creation for social innovation” concept and to understand the functions and activities of HEIs that can contribute to this process. To promote co-creation for social innovation, HEIs should actively encourage collaborative learning tools that focus on open platforms for collective action and systemic change that help them to engage with society and strengthen their collaboration with social actors. Different activities such as mutual learning and knowledge diffusion using a transdisciplinary approach, technology-based learning and collaboration, and relational transformation are key enablers that can promote social innovation.
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