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This chapter enters an old debate on the shape of validation processes in qualitative research. We discuss a reflective research validation framework related to teaching approaches and practices. The majority of investigations in this area draw mainly on indirect observation, semi-structured interviews or the application of questionnaires and inventories. To this extent, only “half-the-story” has been reported. The validation framework here develops a five-part three stage structure, conceptualized as an “iterative-interactive-process,” integrating a set of strategies aimed at the “minimization of invalidity.” The application of the framework is illustrated through a longitudinal study investigating the relationship between classroom questioning practices and teachers’ preferential teaching approaches. Fieldwork in this naturalistic-interpretative research was conducted during four academic years and entailed close collaboration with a group of four university teachers lecturing biology to undergraduates.

The purpose of this study is to identify the types of questions that students ask during the learning of chemistry; discuss the role of students' questions in the process of constructing knowledge, and investigate the relationship between students' questions, approaches to learning, and learning styles.

The questions raised by 100 first‐year chemistry students in Science and Engineering courses at the University of Aveiro, Portugal, were collected. These students were invited to complete Kolb's Learning Styles Inventory (LSI) and were observed during diverse class activities. Ten of these students were then selected for interview.

The paper finds that the data enable the placement of students at different stages of learning development, at an “acquisition”, “specialisation” or “integration” phase. The ten interviews confirm the results of the LSI survey, and indicate that these students show either “deep” or “surface” approaches to learning, with evidence of a meso approach (intermediate between the two, with characteristics of both). The paper concludes that it is possible to relate students' questions to their learning styles and approaches to learning. Students, who show a surface approach and stay within the acquisition stage, tend to formulate low‐level questions. Students at the other end of this continuum seem disposed to ask higher‐level questions.

The generalisability of the overall study is limited because of the few students involved in the interviews. However, there are some clear pointers here for the relationship between the level of students' question asking and increasing sophistication in learning.

Appreciating the diversity of learners, and their approaches to learning, enhances the possibilities of improving the quality of teaching at this level.

This paper expands on two congruent models that are frequently considered separate and distinct.

A new PC‐based software package, developed by Milton Keynes based Technical Software Consultants Ltd (TSC), will simplify the task of fatigue monitoring and analysis. Called AMI, standing for Automated Monitoring for Instruments, the new package runs under the latest Windows 3.0 graphical user interface and is designed for use with a wide range of measuring instruments, including U7 and U8 Crack Microgauges.

Many scholars analyse networks and learning to understand how individuals successfully create and manage new ventures. Based on the assumption that entrepreneurs learn from networks, the purpose of this paper is to examine which types of difficulties encourage entrepreneurs to use networks to facilitate learning, whether entrepreneurs change networks to deal with such difficulties, and which network characteristics facilitate learning.

Networks are considered a potential source of learning, namely, the cognitive process of acquiring and structuring knowledge, creating meaning from experience and generating new solutions from existing knowledge. Through networks, entrepreneur share information and discuss opportunities and problems. Using an innovative approach combining story telling and network mapping, this study analyses how entrepreneurs use networks in learning. The data collected from six entrepreneurs working in knowledge-intensive sectors enables examining the learning process ensuing from the interactions between entrepreneurs and their contacts.

The findings show that entrepreneurs construct different types of networks in response to their difficulties, not in relation to products or technologies, but to learn to overcome self-crises, external threats, management and organisational issues. The findings reveal that entrepreneurs develop networks dominated by strong ties for exploitative learning and networks dominated by weak ties for explorative learning.

This study contributes to literature on networks and entrepreneurial learning. More specifically, the study provides evidence of learning in the context of networks, which is a relatively overlooked area in entrepreneurship literature, identifying the role of difficulties in determining the type of learning through networks and the related mechanisms.