A Digital Image CD-ROM and Website for Environmental and Water Resources Engineering Curricula and K-12 Education

Midway through the first decade of the new millennium, teachers are still facing considerable challenges in dealing with the complex forms of literacy that are increasingly required for success across the K-12 curriculum in Australia. Three critical areas in particular need to be addressed in teacher education in this regard: teachers’ knowledge about text structures and about how language functions as a resource in the construction of a range of spoken, written, and multi-modal genres; teachers’ understanding of language and text as critical socio-cultural practices and how these practices build disciplinary knowledge across the K-12 curriculum; and teachers’ capacity to choose models of pedagogy that allow learners to master new literacy practices, transform meanings across contexts, and reflect substantively on learning through language. In this chapter, I will outline how a video-based interactive CD-ROM entitled BUILT (Building Understandings in Literacy and Teaching) was developed for use in teacher education to address these concerns. I will conclude by signalling some of the challenges that remain for teacher educators training novice teachers to scaffold, through ICT, their K-12 students into an important range of literacies.

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Water Resources Engineering

Practical Civil Engineering ◽

10.1201/9780429094811-14 ◽

2021 ◽

pp. 279-334

Author(s):

P.K. Jayasree ◽

K Balan ◽

V Rani

Keyword(s):

Water Resources ◽

Water Resources Engineering

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Evolutionary algorithms, swarm intelligence methods, and their applications in water resources engineering: a state-of-the-art review

H2Open Journal ◽

10.2166/h2oj.2020.128 ◽

2020 ◽

Vol 3 (1) ◽

pp. 135-188 ◽

Cited By ~ 3

Author(s):

M. Janga Reddy ◽

D. Nagesh Kumar

Keyword(s):

Water Resources ◽

Evolutionary Algorithms ◽

Swarm Intelligence ◽

Water Resource ◽

Heuristic Algorithms ◽

Optimization Problems ◽

State Of The Art ◽

Real Life ◽

Distribution Networks ◽

Water Resources Engineering

Abstract During the last three decades, the water resources engineering field has received a tremendous increase in the development and use of meta-heuristic algorithms like evolutionary algorithms (EA) and swarm intelligence (SI) algorithms for solving various kinds of optimization problems. The efficient design and operation of water resource systems is a challenging task and requires solutions through optimization. Further, real-life water resource management problems may involve several complexities like nonconvex, nonlinear and discontinuous functions, discrete variables, a large number of equality and inequality constraints, and often associated with multi-modal solutions. The objective function is not known analytically, and the conventional methods may face difficulties in finding optimal solutions. The issues lead to the development of various types of heuristic and meta-heuristic algorithms, which proved to be flexible and potential tools for solving several complex water resources problems. This paper provides a review of state-of-the-art methods and their use in planning and management of hydrological and water resources systems. It includes a brief overview of EAs (genetic algorithms, differential evolution, evolutionary strategies, etc.) and SI algorithms (particle swarm optimization, ant colony optimization, etc.), and applications in the areas of water distribution networks, water supply, and wastewater systems, reservoir operation and irrigation systems, watershed management, parameter estimation of hydrological models, urban drainage and sewer networks, and groundwater systems monitoring network design and groundwater remediation. This paper also provides insights, challenges, and need for algorithmic improvements and opportunities for future applications in the water resources field, in the face of rising problem complexities and uncertainties.

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