Innovation in the 21st century has been moving continuously away from the model embraced in the last century, which was characterized as a profit-oriented and silo-targeted one. Currently, the logic is being driven towards “the social” sense and value of the transformation within the reality of complexity and the continuous necessity of designing and re-designing concepts towards sustainability of a different level. The underlying motive of innovation has been for long perceived as generating predominantly economic value. However, co-designing the society in the future is now being transformed into tackling social challenges in a multi-layered complexity scenario. Thus, there has been identified a need to find complementary ways to nurture innovation, generating social and public value based on interdependence and the emergence of interrelated and constantly networking actors.
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In the midst of continuous health professions curriculum reforms, critical questions arise about the extent to which conceptual ideas are actually put into practice. Curricula are often not implemented as intended. An under-explored aspect that might play a role is governance. In light of major curriculum changes, we explored educators' perspectives of the role of governance in the process of translating curriculum goals and concepts into institutionalized curriculum change at micro-level (teacher-student). In three Dutch medical schools, 19 educators with a dual role (teacher and coordinator) were interviewed between March and May 2018, using the rich pictures method. We employed qualitative content analysis with inductive coding. Data collection occurred concurrently with data analysis. Different governance processes were mentioned, each with its own effects on the curriculum and organizational responses. In Institute 1, participants described an unclear governance structure, resulting in implementation chaos in which an abstract educational concept could not be fully realized. In Institute 2, participants described a top-down and strict governance structure contributing to relatively successful implementation of the educational concept. However it also led to demotivation of educators, who started rebelling to recover their perceived loss of freedom. In Institute 3, participants described a relatively fragmentized process granting a lot of freedom, which contributed to contentment and motivation but did not fully produce the intended changes. Our paper empirically illustrates the importance of governance in curriculum change. To advance curriculum change processes and improve their desired outcomes it seems important to define and explicate both hard and soft governance processes.
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The user’s experience with a recommender system is significantly shaped by the dynamics of user-algorithm interactions. These interactions are often evaluated using interaction qualities, such as controllability, trust, and autonomy, to gauge their impact. As part of our effort to systematically categorize these evaluations, we explored the suitability of the interaction qualities framework as proposed by Lenz, Dieffenbach and Hassenzahl. During this examination, we uncovered four challenges within the framework itself, and an additional external challenge. In studies examining the interaction between user control options and interaction qualities, interdependencies between concepts, inconsistent terminology, and the entity perspective (is it a user’s trust or a system’s trustworthiness) often hinder a systematic inventory of the findings. Additionally, our discussion underscored the crucial role of the decision context in evaluating the relation of algorithmic affordances and interaction qualities. We propose dimensions of decision contexts (such as ‘reversibility of the decision’, or ‘time pressure’). They could aid in establishing a systematic three-way relationship between context attributes, attributes of user control mechanisms, and experiential goals, and as such they warrant further research. In sum, while the interaction qualities framework serves as a foundational structure for organizing research on evaluating the impact of algorithmic affordances, challenges related to interdependencies and context-specific influences remain. These challenges necessitate further investigation and subsequent refinement and expansion of the framework.
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