Learning specific content in technology education: learning study as a collaborative method in Swedish preschool class using hands-on material

This article describes the process of a learning study conducted in technology education in a Swedish preschool class. The learning study method used in this study is a collaborative method, where researchers and teachers work together as a team concerning teaching and learning about a specific learning object. The object of learning in this study concerns strong constructions and framed structures. This article describes how this learning study was conducted and discusses reflections made during the process. Furthermore, we discuss how the learning study method could be implemented in technology education using hands-on material. Some of the results point to problems of delimiting an object of learning in technology education using hands-on material and the complexity in the relation between content and context in learning. The results also show benefits from the collaborative method where researchers and teachers work together with regards to specific learning content in the technology classroom.     

The Part‐Time Job Satisfaction Puzzle: Different Types of Job Discrepancies and the Moderating Effect of Family Importance

Although part‐time employment often appears as a substandard form of employment, evidence that part‐time employees are less satisfied than full‐time employees is ambiguous. To shed more light on this puzzle, I test an extended discrepancy theory framework using data from the German Socio‐Economic Panel. The results help explain previous inconsistent findings: Part‐time employment increases the chances of being underemployed while it reduces the likelihood of working more hours than preferred, and the negative effects of both types of working time mismatches on job satisfaction are similar in size. Furthermore, the importance attributed to family roles mitigates the negative effect of part‐time employment on job satisfaction.     

How do firms make money selling digital goods online?

We review research on revenue models used by online firms who offer digital goods. Such goods are non-rival, have near zero marginal cost of production and distribution, low marginal cost of consumer search, and low transaction costs. Additionally, firms can easily observe and measure consumer behavior. We start by asking what consumers can offer in exchange for digital goods. We suggest that consumers can offer their money, personal information, or time. Firms, in turn, can generate revenue by selling digital content, brokering consumer information, or showing advertising. We discuss the firm’s trade-off in choosing between the different revenue streams, such as offering paid content or free content while relying on advertising revenues. We then turn to specific challenges firms face when choosing a revenue model based on either content, information, or advertising. Additionally, we discuss nascent revenue models that combine different revenue streams such as crowdfunding (content and information) or blogs (information and advertising). We conclude with a discussion of opportunities for future research including implications for firms’ revenue models from the increasing importance of the mobile Internet.