scholarly journals Mobile learning in chemical engineering: An outlook based on case studies

2021 ◽  
Vol 35 ◽  
pp. 132-145
Author(s):  
Guillermo Díaz-Sainz ◽  
Gema Pérez ◽  
Lucía Gómez-Coma ◽  
Victor Manuel Ortiz-Martínez ◽  
Antonio Domínguez-Ramos ◽  
...  
1988 ◽  
Vol 53 (7) ◽  
pp. 1476-1499 ◽  
Author(s):  
Mirko Dohnal

A possibility of qualitative variable utilization for description and evaluation of phenomena and processes from non-formal human thinking point of view is presented. Paper gives methods of naïve modelling and realistically assesses results that can be awaited. The method is demonstrated on two case studies that are given in full details, namely continuous fermentation (fermentor, two separators) and anaerobic fermentation.


2011 ◽  
Vol 3 (4) ◽  
pp. 38-53 ◽  
Author(s):  
Claire Bradley ◽  
Debbie Holley

This paper reports on empirical research conducted to find out about higher education students’ mobile phone ownership, and the ways in which they are using their mobiles for learning. A survey with a group of first-year students has been followed up by an in-depth study, in which three students were lent Flip Video Camcorders to capture their mobile learning activities and were interviewed to discover more about their practice. The video footage and interview data have been compiled into three rich case studies which help us to better understand students’ practice and attitudes towards mobile learning. The paper focuses on the survey data and the three case studies, which were analysed using grounded theory. The outcomes of this research can inform the work of educators seeking to design effective mobile learning activities that build on existing student practice and extend mobile learning within the blend of learning activities that we offer students.


2002 ◽  
Vol 2 ◽  
pp. 107-121 ◽  
Author(s):  
S.E. JØrgensen

It is the intention of this paper to demonstrate that environmental technology must be supplemented by other tools to be able to solve environmental problems properly. Five cases are used to illustrate the possibilities of ecological engineering, a new engineering field based on ecology, as chemical engineering is based on chemistry. It encompasses restoration of ecosystems, utilization of ecosystems to the benefit of both mankind and nature, construction of ecosystems, and ecologically sound planning of ecosystems from a holistic point of view. Ecological engineering requires a good knowledge of the system properties of ecosystems to be able to fully utilize the possibilities that ecosystem management offers. Models reflecting the ecosystem properties are furthermore needed to be able to quantify the effects of the ecological engineering solutions to the environmental problems. This is clearly demonstrated in two of the five case studies presented in the paper.


Author(s):  
Athanasios Drigas ◽  
Marios Pappas

Mobile and online learning applications become more known year after year and are used today from millions of students and educators in all over the world. Wireless mobile devices like smartphones, PDAs and tablets, could be used to benefit students’ learning in or out of the classroom. In front of the idea of inclusion of mobile learning in educational process, we represent in this paper some important case studies which examine the consequence of using mobile tools and apps, as well as online applications in mathematics teaching, at all educational levels.


Author(s):  
Claire Bradley ◽  
Debbie Holley

This paper reports on empirical research conducted to find out about higher education students’ mobile phone ownership, and the ways in which they are using their mobiles for learning. A survey with a group of first-year students has been followed up by an in-depth study, in which three students were lent Flip Video Camcorders to capture their mobile learning activities and were interviewed to discover more about their practice. The video footage and interview data have been compiled into three rich case studies which help us to better understand students’ practice and attitudes towards mobile learning. The paper focuses on the survey data and the three case studies, which were analysed using grounded theory. The outcomes of this research can inform the work of educators seeking to design effective mobile learning activities that build on existing student practice and extend mobile learning within the blend of learning activities that we offer students.


Author(s):  
Jannik Burre ◽  
Dominik Bongartz ◽  
Alexander Mitsos

AbstractSuperstructure optimization is a powerful but computationally demanding task that can be used to select the optimal structure among many alternatives within a single optimization. In chemical engineering, such problems naturally arise in process design, where different process alternatives need to be considered simultaneously to minimize a specific objective function (e.g., production costs or global warming impact). Conventionally, superstructure optimization problems are either formulated with the Big-M or the Convex Hull reformulation approach. However, for problems containing nonconvex functions, it is not clear whether these yield the most computationally efficient formulations. We therefore compare the conventional problem formulations with less common ones (using equilibrium constraints, step functions, or multiplications of binary and continuous variables to model disjunctions) using three case studies. First, a minimalist superstructure optimization problem is used to derive conjectures about their computational performance. These conjectures are then further investigated by two more complex literature benchmarks. Our analysis shows that the less common approaches tend to result in a smaller problem size, while keeping relaxations comparably tight—despite the introduction of additional nonconvexities. For the considered case studies, we demonstrate that all reformulation approaches can further benefit from eliminating optimization variables by a reduced-space formulation. For superstructure optimization problems containing nonconvex functions, we therefore encourage to also consider problem formulations that introduce additional nonconvexities but reduce the number of optimization variables.


Author(s):  
Andrew Kitchenham

This chapter presents three m-learning case studies. The first is a school district in Northern Canada that uses one-to-one computing from intermediate to high school. The second case study is an autoethnographic approach to using m-learning in post-secondary education. The last deals with a United States school district that is planning to implement m-learning technologies across three schools in an attempt to address the needs of the Net Generation. The chapter concludes with a synopsis of the findings across the three case studies.


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