Using the Inquiry-based Learning Approach to Enhance Student Innovativeness: A Conceptual Model

Individual innovativeness has become one of the most important employability skills for university graduates. In this paper, we focus on how students could be better prepared to be innovative in the workplace, and we argue that inquiry-based learning (IBL) – a pedagogical approach in which students follow the inquiry-based processes used by scientists to construct knowledge – can be effective for this purpose. Drawing on research which examines the social and cognitive micro-foundations of innovative behaviour, we develop a conceptual model that links IBL and student innovativeness, and introduce three teacher-controlled design elements that can influence the strength of this relationship, namely whether an inquiry is open or closed, discovery-focused or information focused and individual or teambased. We argue that an open, discovery-focused and team-based inquiry offers the greatest potential for enhancing students’ skills in innovation. This paper has several implications for higher education research and practice

Predicted Adoption Rates of Contact Tracing App Configurations - Insights from a choice-based conjoint study with a representative sample of the UK population

Widespread adoption of a contact tracing app by the UK public is an important part of safely easing or lifting the lockdown. In this context, it is essential to understand how adoption rates are influenced by different configurations of a proposed contact tracing app. There are many implementation options that can impact app adoption. For example, which institution should be responsible for and have oversight of the app? What type of data is collected? Does it matter how long it is stored? This whitepaper provides data-driven insights into these and other questions to guide app implementation choices

On growth of spinodal instabilities in nuclear matter-II:asymmetric matter

As an extension of our previous work, the growth of density fluctuations in the spinodal region of charge asymmetric nuclear matter is investigated in the basis of the stochastic mean-field approach in the non-relativistic framework. A complete treatment of density correlation functions are presented by including collective modes and non-collective modes as well.Comment: 20 pages, 6 figures, Accepted by Physical Review

A New Model for Crowdsourcing Innovation

On paper, crowdsourced innovation makes a lot of sense: If two heads are better than one, why not 20,000? Surely, some of those outsiders will have fresh solutions to your problem. But in practice, such programs have often not worked out as well as hoped. More often than not, even the best crowdsourced ideas disappear in a Bermuda Triangle of logistical difficulties, internal politics, and professional insecurity. The International Committee of the Red Cross has developed a new collaborative approach to crowdsourcing ideas that limits the competition to teams. It designed its Enable Makeathon project not only to generate good ideas of products to help people with disabilities but also to make sure those ideas reach the market

Customer empowerment in the digital age

The Internet and advances in digital technologies fundamentally are transforming marketing. Armed with an abundance of information and opportunities, consumers no longer accept the role of passive recipients of marketing communication. This is turning traditional communication approaches upside down and forcing brands to interact with individual customers quickly, openly, and continuously. In the digital age, customer engagement is more important than ever. The Marketing Science Institute, for example, has identified understanding how marketing activities create engagement as one of its top research priorities for 2014–2016. More and more brands are using social-media platforms to connect with their customers by creating engaging content so that consumers can interact (e.g., sharing an interesting and current Tweet) and/or by initiating dialog with them (e.g., responding to a customer comment or complaint). These steps undoubtedly are very important in connecting with customers, but they are not sufficient. Most visionary brands not only interact with customers but also empower them. Consider Lego, which enables its customers to create and vote for new product designs on a “Lego Ideas” platform. The designs that receive considerable votes from other customers (i.e., 10,000 “supports”) are then reviewed formally. Those that pass the review are transformed into products to be sold all over the world. The initiative of Lego not only involves the emotional, cognitive, and behavioral engagement of customers—characteristics of a successful customer engagement initiative—but also shifts the power and control of the company's product development to its customers

Individual differences as antecedents of leader behavior: Towards an understanding of multi-level outcomes

The leadership research on individual differences is going through a period of revival. However, due to the substantial number of variables in this area and the different knowledge bases they are associated with (e.g., psychology, endocrinology, genetics), the literature is also becoming highly fragmented as it grows. This fragmentation is preventing different literature streams from effectively communicating with each other and synthesizing the rapidly expanding body of knowledge. Consequently, the continued growth of the individual differences literature is at risk. Therefore, we believe that classifying the relevant literature streams and reviewing the key variables in those streams will be beneficial. We do so by organizing this review and research agenda of the leadership literature on individual differences around the recent model developed by Antonakis, Day, and Schyns (2012). In doing so, we hope to unify some of the future research efforts around a recent and recognized conceptual model, and in turn facilitate communication between these different streams of literature. Moreover, insights from this literature also allow us to propose additions and refinements to the model of Antonakis, Day, and Schyns (2012) that may help scholars by indicating other fruitful areas for future research on individual differences

Volumetric evaluation of fat in the renal sinus in normal subjects using stereological method on computed tomography images and its relationship with body composition

Background: The aim of the study was: to describe a simple, accurate and practical technique for estimating the volume of adipose tissue within the renal sinus (RS) using stereological method on computed tomography (CT) images; to establish a population database for volume of fat within the RS from 21 to 80 years of age; to investigate the effect of age, gender, body mass index (BMI) and abdominal diameters on RS fat volume in normal subjects.Materials and methods: We retrospectively reviewed abdominal CT examinations of 240 patients without renal pathology between the ages of 21 and 80 years. There were 6 groups of patients, with 40 patients for each decade.Results: RS fat volumes in the left and right kidney were 5.70 ± 2.87 cm3 and 4.15 ± 2.39 cm3, respectively, in males and 3.51 ± 2.67 cm3 and 2.49 ± 2.16 cm3, respectively, in females. RS fat volume and age were positively correlated for both kidneys (left: r = 0.46; right: r = 0.44; p < 0.001, both), though it appeared to decline after age 70.Conclusions: Quantitative data may allow clinicians to better estimate the age-related RS fat volume changes and help them in decision making

Investigations of spinodal dynamics in asymmetric nuclear matter within a stochastic relativistic model

Cataloged from PDF version of article.Early development of spinodal instabilities and density correlation functions in asymmetric nuclear matter are investigated in the stochastic extension of the Walecka-type relativistic mean field including coupling with rho meson. Calculations are performed under typical conditions encountered in heavy-ion collisions and in the crusts of neutron stars. In general, growth of instabilities occur relatively slower for increasing charge asymmetry of matter. At higher densities around rho = 0.4 rho(0) fluctuations grow relatively faster in the quantal description than those found in the semi-classical limit. Typical sizes of early condensation regions extracted from density correlation functions are consistent with those found from dispersion relations of the unstable collective modes

The Making of Creative Breakthroughs

Imagine your pharmaceutical company is struggling with an innovation problem related to molecular biology. Who would you go for help, a biologist who is an expert in the problem domain or a social anthropologist? If you are like most, you will consult the biologist. And this is for a good reason; research has provided many strong arguments for why an insider like a biologist rather than an outsider like an anthropologist is more likely to solve your innovation problem. After all, insiders know the territory, which is often viewed as a necessary condition for being able to make a creative contribution to a domain. While consulting an anthropologist for a molecular biology problem might seem far-fetched, many major breakthroughs in biology have actually originated from unexpected sources including anthropologists. This is often attributed to fresh perspectives of outsiders that might be novel for the problem domain. A case in point outside the field of biology is the Auto-Tune technology. Described as “the invention that changed music forever”, it was developed by a complete outsider to music industry, a petroleum engineer named Harold Hildebrand

mESAdb: microRNA expression and sequence analysis database

Cataloged from PDF version of article.microRNA expression and sequence analysis database (http://konulab.fen.bilkent.edu.tr/mirna/) (mESAdb) is a regularly updated database for the multivariate analysis of sequences and expression of microRNAs from multiple taxa. mESAdb is modular and has a user interface implemented in PHP and JavaScript and coupled with statistical analysis and visualization packages written for the R language. The database primarily comprises mature microRNA sequences and their target data, along with selected human, mouse and zebrafish expression data sets. mESAdb analysis modules allow (i) mining of microRNA expression data sets for subsets of microRNAs selected manually or by motif; (ii) pair-wise multivariate analysis of expression data sets within and between taxa; and (iii) association of microRNA subsets with annotation databases, HUGE Navigator, KEGG and GO. The use of existing and customized R packages facilitates future addition of data sets and analysis tools. Furthermore, the ability to upload and analyze user-specified data sets makes mESAdb an interactive and expandable analysis tool for microRNA sequence and expression data