Supplementing Basic Graduate Level Courses With Conference-Based Research Communication Experiences

Author(s):  
Tamara Reid Bush ◽  
Sam Leitkam ◽  
Craig Gunn

Two difficulties are commonly identified for early graduate-level students that hinder their growth in the academic community. First, students in graduate school engineering courses find the basic material difficult to relate to real-life problems. Second, early career graduate students have little practice at presenting research in a professional format (e.g. ASME conference).

2021 ◽  
Vol 13 (2) ◽  
pp. 502
Author(s):  
Kelly Bronson ◽  
Rachana Devkota ◽  
Vivian Nguyen

The living labs (LLs) approach has been applied around the globe to generate innovation within and suited to real-life problems and contexts. Despite the promise of the LL approach for addressing complex challenges like socio-ecological change, there is a gap in practitioner and academic community knowledge surrounding how to measure and evaluate both the performance of a given LL process and its wider impacts. Notably, this gap appears particularly acute in LLs designed to address environmental or agricultural sustainability. This article seeks to verify and address this knowledge gap by conducting an adopted scoping review method which uses a combination of tools for text mining alongside human text analysis. In total, 138 academics literature were screened, out of which 88 articles were read in full and 41 articles were found relevant for this study. The findings reveal limited studies putting forward generalizable approaches or frameworks for evaluating the impact of LLs and even fewer in the agricultural or sustainability sector. The dominant method for evaluation used in the literature is comparative qualitative using case studies. This study uncovers a potential tension regarding LL work: the specificity of LL studies works against the development of evaluation indicators and a universal framework to guide the impact assessment of LLs across jurisdictions and studies in order to move toward generalizability.


2020 ◽  
Vol 14 (3) ◽  
pp. 503-524
Author(s):  
Mahmoud Abdellatif ◽  
Reham Abdellatif

PurposeThe purpose of this research is to improve the understanding of what constitutes a successful thesis proposal (TP) and as such enhance the quality of the TP writing in architecture, planning and related disciplines.Design/methodology/approachBased on extended personal experience and a review of relevant literature, the authors proposed a conception of a successful TP comprising 13 standard components. The conception provides specific definition/s, attributes and success rules for each component. The conception was applied for 15 years on several batches of Saudi graduate students. The implications of the conception were assessed by a students' opinion survey. An expert inquiry of experienced academics from architectural schools in nine countries was applied to validate and improve the conception.FindingsAssessment of the proposed conception demonstrated several positive implications on students' knowledge, performance and outputs which illustrates its applicability in real life. Experts' validation of the conception and constructive remarks have enabled further improvements on the definitions, attributes and success rules of the TP components.Research limitations/implicationsThe proposed TP conception with its 13 components is limited to standard problem-solving research and will differ in the case of other types such as hypothesis-based research.Practical implicationsThe proposed conception is a useful directive and evaluative tool for writing and assessing thesis proposals for graduate students, academic advisors and examiners.Social implicationsThe research contributes to improving the quality of thesis production process among the academic community in the built environment fields.Originality/valueThe paper is meant to alleviate the confusion and hardship caused by the absence of a consensus on what constitutes a successful TP in the fields of architecture, urban planning and related disciplines.


2020 ◽  
pp. 089202062096986
Author(s):  
Elkin O Pérez-Sánchez ◽  
Fernando Chavarro-Miranda ◽  
Julian D Riano-Cruz

Challenge-based Learning (CBL) is a pedagogical approach that actively involves students in a realistic, problematic and meaningful situation related to their environment, which requires defining a challenge and implementing a solution for it (OIETM, 2015). The CBL methodology was applied by instructors with the support of students, part of the management programme from a Colombian university. The goal was to assess the validity of the methodology and examine solutions proposed by students to real-life problems in organisations. After assessing the challenge-based learning (CBL) it can be concluded, that a link to the entrepreneurial orientation exists. This link promotes the development of critical and constructive thinking, while encouraging students to analyse, design, develop and execute solutions for real-life problems, similar to those they will encounter as graduate students in any organisation.


1970 ◽  
Author(s):  
Matisyohu Weisenberg ◽  
Carl Eisdorfer ◽  
C. Richard Fletcher ◽  
Murray Wexler

2014 ◽  
Author(s):  
Michael Zarate ◽  
Richard Lee ◽  
Fred Leong ◽  
Melanie Domenech-Rodriguez ◽  
Kevin Cokley

NASPA Journal ◽  
1997 ◽  
Vol 35 (1) ◽  
Author(s):  
Sue Barker ◽  
Ginny Felstehausen ◽  
Sue Couch ◽  
Judith Henry

The authors explore the usefulness of orientation programs for students aged 27 and older who delayed entry to graduate school and whether differences in personal importance of orientation programs, willingness to participate in them, and preferences in matters of scheduling and topics. The results indicated that several demographic variables affected the interest level in some topics, suggesting that a cafeteria-workshop style format, which would allow students to select just those sessions that were of interest to them, may be the best for this group.


2021 ◽  
Vol 11 (11) ◽  
pp. 4757
Author(s):  
Aleksandra Bączkiewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun ◽  
Joanna Kołodziejczyk

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas of the world differ in terms of their difficulty and ability in preparing accurate weather forecasts. Poland lies in a zone with a moderate transition climate, which is characterized by seasonality and the inflow of many types of air masses from different directions, which, combined with the compound terrain, causes climate variability and makes it difficult to accurately predict the weather. For this reason, it is necessary to adapt the model to the prediction of weather conditions and verify its effectiveness on real data. The principal aim of this study is to present the use of a regressive model based on a unidirectional multilayer neural network, also called a Multilayer Perceptron (MLP), to predict selected weather indicators for the city of Szczecin in Poland. The forecast of the model we implemented was effective in determining the daily parameters at 96% compliance with the actual measurements for the prediction of the minimum and maximum temperature for the next day and 83.27% for the prediction of atmospheric pressure.


2021 ◽  
Vol 13 (6) ◽  
pp. 3465
Author(s):  
Jordi Colomer ◽  
Dolors Cañabate ◽  
Brigita Stanikūnienė ◽  
Remigijus Bubnys

In the face of today’s global challenges, the practice and theory of contemporary education inevitably focuses on developing the competences that help individuals to find meaningfulness in their societal and professional life, to understand the impact of local actions on global processes and to enable them to solve real-life problems [...]


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