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Questionnaires have been devised to investigate informal learning in the workplace based on an analogy with approaches to studying in higher education. This chapter focuses attention on issues of theory by critically evaluating different models of the relationship between employees’ approaches to workplace learning and their perceptions of the workplace context. In addition, this chapter focuses attention on issues of method by critically evaluating two particular instruments that have been devised in order to measure employees’ approaches to workplace learning and their perceptions of the workplace context. We use data from an online survey in which the Approaches to Work Questionnaire and the Workplace Climate Questionnaire were administered to employees who were taking courses by distance learning with the UK Open University. Factor analyses confirmed that both questionnaires measured three distinct scales. Canonical correlation analysis showed that the employees’ scores on the two instruments shared 43% of their variance. Path analysis found evidence that variations in approaches to learning lead to variations in perceptions of the workplace climate but not for the converse relationship.

Academic outcomes for individuals with autism spectrum disorder (ASD) remain poor, especially in the area of reading, in particular, reading comprehension. In recent years, researchers have begun to investigate subcomponent skills of reading comprehension for children with ASD in order to better understand its development and potential interventions to enhance outcomes. This chapter highlights the current knowledge in the field in regards to the key cognitive and language skills associated with reading development for individuals with ASD. These include emergent-literacy skills, word-reading and decoding, reading fluency, oral language, and social cognition. Additionally, the chapter makes suggestions for future research in this area, in particular the need to conduct research to establish evidence-based practices to better support the syndrome-specific reading needs for this population.

To explore the potential of conversations with an authentic audience through blogging for enriching in young writers the understanding of the communicative function of writing, specifically language and vocabulary use.

We situate our work in the language acquisition model of language learning, in which learners develop linguistic competence in the process of speaking and using language (Krashen, 1988; Tomasello, 2005). We also believe that language learning benefits from formal instruction (Krashen, 1988). As such, in our work, we likened engaging in blogging to learning a language (here, more broadly conceived as learning to write) through both natural communication (acquisition) and prescription (instruction), and we looked at these forms of learning in our study.

We were interested in the communicative function of language learning (Halliday, 1973; 1975; Penrod, 2005) among young blog writers, because we see language learning as socially constructed through interaction with other speakers of a language (Tomasello, 2005; Vygotsky, 1978).

The readers and commenters in this study supported young writers in their language study by modeling good writing and effective language use in their communication with these writers. Young writers also benefited from direct instruction through interactions with adults beyond classroom teachers, in our case some of the readers and commenters.

Blogging can extend conversations to audiences far beyond the classroom and make writing a more authentic endeavor for young writers. Teachers should take advantage of such a powerful tool in their writing classrooms to support their students’ language study and vocabulary development.

We investigate the relationship between job complexity and skill development of adult workers in Europe using the Cedefop European Skills and Jobs Survey.¹ The results suggest that challenging workplaces in which jobs are designed to include complex tasks that place high demands on workers’ skills also stimulate skill development. Increasing the degree of job complexity has positive and robust effects on the degree of skill development. Skill development is also positively linked to job tenure. The analysis stresses the importance of on-the-job learning and contextual workplace characteristics for adult workers’ skill development.

In this chapter, we address the question if and how modern technology can be used to design questionnaires, diaries, web sites, and experiments to improve the validity of reliability of active data collection instruments. In particular, it discusses the history of computer-assisted activity diary data, reenactment sessions, stated preference methods, and interactive computer experiments with a special focus on the design of these instruments in terms of respondent support and user interfaces. Empirical evidence and experience suggests that although fascinating instruments may increase respondent motivation and involvement and therefore improve the reliability of the measurements, there is also the danger that respondents' answers are influenced by features of the electronic instrument that are not essential, reducing validity and reliability.

Students with mathematics-related learning difficulties (MLD) experience difficulties in many areas of mathematics achievement; without intervention, these difficulties will persist. In this chapter, I first review research examined cognitive processes deficits of MLD. Because difficulties in learning mathematics are presumably due to these cognitive deficits, findings of these studies can shed light on developing effective intervention programs. Second, using Response to Intervention (RTI) as a framework to distinguish the intensity level of intervention, I review findings from existing Tier 2 and Tier 3 intervention studies and synthesize the instructional approaches used in these studies as well as the factors researchers used to intensify the intervention. Finally, Data-Based Individualization (DBI), a systematic approach to intensify intervention, commonly used at the Tier 3 level, is review. Suggestions for future research directions for intensive mathematics intervention are also provided.

Neuroimaging research has substantially enhanced our understanding of the neurobiological mechanisms of typical and atypical learning in children. These developments can advance the design of novel approaches to diagnosis and intervention for learning disabilities. Despite the promise of educational neuroscience, there are still walls between neuroscience and special education researchers such that more collaboration and understanding are needed between these disciplines. This chapter attempts to break down the walls by discussing how neuroimaging techniques can be incorporated into special education research. We also present arguments as to why neuroscience is “the next big thing” in special education research and the obstacles that must be overcome in order for neuroscience to be incorporated into education research. To describe how neurobiology might impact special education, we focus primarily on reading disability. We believe that educational neuroscience can aid in the identification and intervention of other learning disorders as well.

The purpose of this study was to create an air movement operations planning model to rapidly generate air mission request (AMR) assignment and routing courses of action (COA) in order to minimize unsupported AMRs, aircraft utilization and routing cost.

In this paper, the US Army Aviation air movement operations planning problem is modeled as a mixed integer linear program (MILP) as an extension of the dial-a-ride problem (DARP). The paper also introduces a heuristic as an extension of a single-vehicle DARP demand insertion algorithm to generate feasible solutions in a tactically useful time period.

The MILP model generates optimal solutions for small problems (low numbers of AMRs and small helicopter fleets). The heuristic generates near-optimal feasible solutions for problems of various sizes (up to 100 AMRs and 10 helicopter team fleet size) in near real time.

Due to the inability of the MILP to produce optimal solutions for mid- and large-sized problems, this research is limited in commenting on the heuristic solution quality beyond the numerical experimentation. Additionally, the authors make several simplifying assumptions to generalize the average performance and capabilities of aircraft throughout a flight.

This research is the first to solve the US Army Aviation air movement operations planning problem via a single formulation that incorporates multiple refuel nodes, minimization of unsupported demand by priority level, demand time windows, aircraft team utilization penalties, aircraft team time windows and maximum duration and passenger ride time limits.