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Purpose: The purpose of this chapter is to provide research-based information to foster positive discussions about the need for phonics and phonemic awareness instruction in the primary grades. In order to read, students must possess secure knowledge of the alphabetic principle (i.e., that speech sounds are represented by combinations of letters in the alphabet) as well as the ability to aurally separate the distinct sounds (phonemes) that make up words.

Design: In this chapter, the authors provide essential definitions of phonics and phonemic awareness terms, highlight peer-reviewed research and best instructional practices, and clarify findings in relation to the recently renewed controversy over how to effectively teach reading to young children. The authors draw from respected research journals and years of classroom experience to provide recommendations to literacy teachers.

Findings: Explicit, systematic phonics instruction is crucial for beginning readers because most children will not intuit phonics concepts. To set the stage for phonics instruction (connecting speech sounds with their written representations), students must understand how to separate sounds in words. Therefore, instruction in phonemic awareness must be given independently of alphabetic representations; that is, students need to be able to hear the distinct sounds before mapping them onto written words. Once a student has mastered this understanding, however, instructional time need not be devoted to its development.

Practical Implications: This chapter contributes to the literature on phonics and phonemic awareness by clearly explaining the differences between the two concepts and their necessary inclusion in any beginning reading program. It includes practical activities teachers can use to develop these understandings in the classroom and provides research evidence to support their use.

For at least the last 10 years, the Russian authorities have been declaring the need to move to an innovative path of economic development. The government actively initiates and applies various instruments and measures to promote innovation. However, the effectiveness of the Russian innovation policy is still in question. The chapter examines the evolution of state policy to foster innovation growth in Russia since 2000 and describes some sets of achievements and problems for different stages of this policy. In addition to analysis of changes in the innovation sphere at the macro-level, we discuss the primary motivations and limitations at the micro-level (firm level). As a result, the critical institutional barriers to innovation-based growth are revealed. In the same time, certain successes have been achieved in some sectors, and we consider various opportunities to improve Russian technological and innovation policy.

The purpose of the study was to investigate the alignment between current product and manufacturing systems and how it could be achieved.

Case study research method was chosen for the collection and analysis of empirical data. The data was of qualitative nature and was collected using research techniques such as observations through video recordings of processes, documents and open and semi-structured interviews.

The variation of outer side sub-element of the exterior wall element was found to not be aligned with its corresponding assembly. A hybrid assembly of outer side sub-elements characterised by flexibility and reconfigurability can be developed.

The study is limited to the exterior wall element and corresponding manufacturing system.

The presented approach was formulated with the aim to be used both for the analysis of existing products and manufacturing systems as well as for the design of new manufacturing systems.

So far, this is the first study in the context of timber house building where the alignment between product and manufacturing systems was investigated by considering product variety and flexibility of manufacturing systems.

Purpose — To develop methodologies to evaluate search engines according to an individual's preference in an easy and reliable manner, and to formulate user-oriented metrics to compare freshness and duplication in search results.

Design/methodology/approach — A personalised evaluation model for comparing search engines is designed as a hierarchy of weighted parameters. These commonly found search engine features and performance measures are given quantitative and qualitative ratings by an individual user. Furthermore, three performance measurement metrics are formulated and presented as histograms for visual inspection. A methodology is introduced to quantitatively compare and recognise the different histogram patterns within the context of search engine performance.

Findings — Precision and recall are the fundamental measures used in many search engine evaluations due to their simplicity, fairness and reliability. Most recent evaluation models are user oriented and focus on relevance issues. Identifiable statistical patterns are found in performance measures of search engines.

Research limitations/implications — The specific parameters used in the evaluation model could be further refined. A larger scale user study would confirm the validity and usefulness of the model. The three performance measures presented give a reasonably informative overview of the characteristics of a search engine. However, additional performance parameters and their resulting statistical patterns would make the methodology more valuable to the users.

Practical implications — The easy-to-use personalised search engine evaluation model can be tailored to an individual's preference and needs simply by changing the weights and modifying the features considered. A user is able to get an idea of the characteristics of a search engine quickly using the quantitative measure of histogram patterns that represent the search performance metrics introduced.

Originality/value — The presented work is considered original as one of the first search engine evaluation models that can be personalised. This enables a Web searcher to choose an appropriate search engine for his/her needs and hence finding the right information in the shortest time with the least effort.

Purpose — The purpose of this chapter is to give an overview of the context of Web search and search engine related research, as well as to introduce the reader to the sections and chapters of the book.

Methodology/approach — We review literature dealing with various aspects of search engines, with special emphasis on emerging areas of Web searching, search engine evaluation going beyond traditional methods and new perspectives on Web searching.

Findings — The approaches to studying Web search engines are manifold. Given the importance of Web search engines for knowledge acquisition, research from different perspectives needs to be integrated into a more cohesive perspective.

Research limitations/implications — The chapter suggests a basis for research in the field and also introduces further research directions.

Originality/value of paper — The chapter gives a concise overview of the topics dealt within the book and also shows directions for researchers interested in Web search engines.

A long-standing question is how group perception, which is the perception of a whole group, becomes an exaggerated perception of the individuals who comprise the group. The question receives scant attention within computer-mediated communication (CMC), which is increasingly a communication mode for groups and a research tool to study groups. I address this gap by examining bias in group perception when rating copresence, which is the sense of being together, with the group.

I model bias as occurring when perceivers differentially weigh ratings of individual group members on a variable while rating the whole group on the same variable. I analyzed how the degree of bias in participants’ ratings of copresence with a status-differentiated group varied by the availability of visual cues during CMC in an experiment. I also examined how the group’s status hierarchy impacted bias.

Bias increase as the availability of visual cues decreased and ratings of middle status members were weighed more in group perception than ratings of other members.

Middle status was based on possessing inconsistent statuses. Inconsistency, and not status position, may have rendered these members more salient than others.

Interventions that target group perception may benefit from targeting the group’s middle status members. Researchers and practitioners can minimize bias in group perception through increasing the availability of visual cues in CMC.

The findings illustrate the underpinnings of copresence with an entire group. This is important because copresence shapes several group processes during CMC.

Student entrepreneurs account for a considerable number of start-up ventures derived from university settings. Nevertheless, there is little research that demonstrates how university entrepreneurship education (EE) directly influences students’ start-up activities. The primary purpose of this study is to examine the effectiveness of various types of university entrepreneurship activities (incorporate entrepreneurial courses, extra-curricular initiatives, and start-up support) on student start-up behavior. This quantitative research utilized questionnaire data collected from university students (n = 1,820) in southeast China and was analyzed with hierarchical Poisson regression in STATA procedures. Research results indicate that engaging in any type of university entrepreneurship activities positively predicts students’ start-up activities, yet this positive effect is contingent on students’ prior start-up experience and the overall university entrepreneurial climate. These findings advance our understanding of crucial elements within university entrepreneurial ecosystems and how various entrepreneurship activities within these ecosystems potentially impact students’ venture creation.

We conjecture that there are five stages to academic entrepreneurship: motivation, governance, selection, competition, and performance. The process of academic entrepreneurship originates with the motivation of faculty, universities, industry, and government to commercialize knowledge that originates within the university setting. The model conceptualizes that the governance and competitiveness of the commercialized knowledge moderate the mode selection and ultimately the performance of academic entrepreneurship. The conceptual and empirical support for the model are derived from a theory-driven synthesis of articles related to academic entrepreneurship.