scholarly journals Integrating supercomputing clusters into education: a case study in biotechnology

2020 ◽  
Author(s):  
Álvaro Fernández ◽  
Camino Fernández ◽  
José-Ángel Miguel-Dávila ◽  
Miguel Á. Conde
Keyword(s):  
Higher Education ◽  
Educational Process ◽  
Future Research ◽  
Research Directions ◽  
Science Technology ◽  
Future Research Directions ◽  
Technological Skills ◽  
And Mathematics ◽  
Course Of Study

Abstract The integration of a Supercomputer in the educational process improves student’s technological skills. The aim of the paper is to study the interaction between science, technology, engineering, and mathematics (STEM) and non-STEM subjects for developing a course of study related to Supercomputing training. We propose a flowchart of the process to improve the performance of students attending courses related to Supercomputing. As a final result, this study highlights the analysis of the information obtained by the use of HPC infrastructures in courses implemented in higher education through a questionnaire that provides useful information about their attitudes, beliefs and evaluations. The results help us to understand how the collaboration between institutions enhances outcomes in the education context. The conclusion provides a description of the resources needed for the improvement of Supercomputing Education (SE), proposing future research directions.

scholarly journals Balancing Cost and Value: Scandinavian Students’ First Year Experiences of Encountering Science and Technology Higher Education

2018 ◽  
Vol 14 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Fredrik Jensen ◽  
Ellen Karoline Henriksen ◽  
Henriette Tolstrup Holmegaard ◽  
Lene Møller Madsen ◽  
Lars Ulriksen
Keyword(s):  
Higher Education ◽  
Educational Institutions ◽  
Future Research ◽  
First Year ◽  
Online Questionnaire ◽  
Research Directions ◽  
Students First ◽  
Future Research Directions ◽  
And Mathematics ◽  
Better Than

This paper investigates the experiences of students in science, technology, engineering and mathematics (STEM) during their first year in higher education, based on 874 Danish and 1314 Norwegian students’ responses to an online questionnaire. Rather than focusing on averages, we compare the experiences of two distinct groups of students: those who rated their overall study situation as better than expected (the satisfied group) and those who rated it as worse than expected (the dissatisfied group). Although the satisfied group were more positive to many aspects of their study situation, the dissatisfied group were also relatively positive to many aspects. All respondents expressed that the study cost more time and effort than anticipated, but only for some students (notably the satisfied group) was this high cost counterbalanced by a high value in terms of subject interest and social integration. Implications are discussed in terms of future research directions and how educational institutions can improve students’ meeting with higher education.

Achieving Excellence in Teaching

2013 ◽  
pp. 280-290
Author(s):  
Iain Doherty
Keyword(s):  
Professional Development ◽  
Systemic Change ◽  
Future Research ◽  
Teaching Improvement ◽  
Research Directions ◽  
Teaching Culture ◽  
Future Research Directions ◽  
Educational Professional ◽  
Excellence In Teaching

The purpose of this chapter is to examine the challenges of achieving systemic change in the teaching culture of a research-intensive university. The chapter makes use of a teaching improvement case study to identify both the challenges and the solutions to engaging academics in a research-intensive university with educational professional development. Ongoing issues are identified and future research directions are presented.

The Same but Different

2019 ◽  
pp. 1-32
Author(s):  
Maria Northcote
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Online Courses ◽  
Future Research ◽  
Technological Innovations ◽  
Research Directions ◽  
Learning Programs ◽  
History Of ◽  
Future Research Directions ◽  
Practical Recommendations

The field of online learning, like many other technological innovations, has not burgeoned without controversy. Despite the debates about the role and value of online learning, it has continued to grow in many sectors, especially in higher education. Alongside the growth of online learning, discussions about its benefits and limitations have also flourished, and many studies have investigated the quality and integrity of online courses. This chapter offers an investigation of some of the history of online learning, concluding with a collection of practical recommendations and suggestions for future research directions to guide institutions embarking on online learning programs.

Mobile Learning in Higher Education

2011 ◽  
pp. 292-306 ◽  
Author(s):  
Rui Zeng ◽  
Eunice Luyegu
Keyword(s):  
Higher Education ◽  
Mobile Learning ◽  
Learning Theories ◽  
Future Research ◽  
Research Directions ◽  
Keen Interest ◽  
Future Research Directions

In recent years, there has been an explosion in the growth of mobile learning across all sectors of education. Keen interest in mobile learning has led to a proliferation of views, perspectives, and diverse activities underpinned by different learning theories. This chapter focuses on various dimensions of mobile learning, including definitions, theoretical dimensions, mobile learning applications in higher education, and future research directions. Mobile learning is still an emerging and immature field. The chapter provides broad definitions and discussions of mobile learning drawing upon existing work. By exploring the experiences and views of various researchers, the chapter reveals the opportunities and challenges involved with mobile learning.

“I'm Not Simply Dealing with Some Heartless Computer”

2016 ◽  
pp. 160-184
Author(s):  
Peggy Lynn Semingson ◽  
Pete Smith
Keyword(s):  
Case Analysis ◽  
Future Research ◽  
Video Conference ◽  
Master's Level ◽  
Research Directions ◽  
Language Analysis ◽  
Literacy Course ◽  
Future Research Directions ◽  
Cross Case Analysis

This chapter provides a case study example using cross-case analysis (Merriam, 2001) of digital mentoring within an online Master's level literacy course at a large public university in the Southwest United States. Two mentors provided individualized video conference sessions, using Blackboard Collaborate™ to 28 students (mentees). Data included written reflections from students as well as transcripts from selected videoconference sessions. Structured synchronous mentoring sessions provided a predictable framework for students and mentors alike. This chapter provides an analysis of the students' perceptions of the conferences, the types of discourse patterns and language analysis of the conferences, as well as description of themes and trends across the data. Suggestions on the usefulness of the conferences as well as the structure of mentoring sessions are described in the chapter. Established and emerging models of mentorship and e-development are outlined and utilized to frame the analyses and future research directions.

scholarly journals Human Safety in Autonomous Transport Systems – Review and Case Study

2021 ◽  
Vol 51 (1) ◽  
pp. 57-71
Author(s):  
Alicja Dąbrowska ◽  
Robert Giel ◽  
Sylwia Werbińska-Wojciechowska
Keyword(s):  
Human Detection ◽  
Robotic Systems ◽  
Transport Systems ◽  
Future Research ◽  
Research Gaps ◽  
Research Directions ◽  
Human Safety ◽  
Storage Area ◽  
Future Research Directions

Abstract During the robot's operational tasks, a key issue is its reliability in the aspect of human safety providing. Currently, there are a number of methods used to detect people, and their selection most often depends on the type of process carried out by robots. Therefore, the article is focused on the development of a comparative analysis of selected methods of human detection in the storage area. The main aspect in the context of which these systems were compared concerned the safety of robotic systems in the space of human occurrence. Main advantages and drawbacks of the methods in various applications were presented. The detailed analysis of the achievements in this area gives the possibility to identify research gaps and possible future research directions when using these tools in autonomous warehouses designing processes.

scholarly journals Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

2021 ◽  
Vol 9 ◽  
pp. 1061-1080
Author(s):  
Prakhar Ganesh ◽  
Yao Chen ◽  
Xin Lou ◽  
Mohammad Ali Khan ◽  
Yin Yang ◽  
...  
Keyword(s):  
Language Processing ◽  
Large Scale ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Research Attention ◽  
Model Compression ◽  
Future Research Directions ◽  
Or Applications

Abstract Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks. However, these models often have billions of parameters, and thus are too resource- hungry and computation-intensive to suit low- capability devices or applications with strict latency requirements. One potential remedy for this is model compression, which has attracted considerable research attention. Here, we summarize the research in compressing Transformers, focusing on the especially popular BERT model. In particular, we survey the state of the art in compression for BERT, we clarify the current best practices for compressing large-scale Transformer models, and we provide insights into the workings of various methods. Our categorization and analysis also shed light on promising future research directions for achieving lightweight, accurate, and generic NLP models.

Intermittent Motivational Interviewing and Transdiagnostic CBT for Anxiety: A Case Study

2019 ◽  
Vol 18 (4) ◽  
pp. 300-318 ◽  
Author(s):  
Isabella Marker ◽  
Peter J. Norton
Keyword(s):  
Treatment Outcome ◽  
Motivational Interviewing ◽  
Integrated Approach ◽  
Future Research ◽  
Cognitive Behavior ◽  
Research Directions ◽  
Future Research Directions ◽  
Clinically Significant

Recent meta-analytic findings have revealed that the addition of motivational interviewing (MI) to cognitive behavior therapy (CBT) for anxiety disorders improves treatment outcome. However, for the most part, previous research has limited MI as a prelude to CBT. This article explored the benefits and complications of a more integrated approach by adapting and examining an already established transdiagnostic CBT protocol to include intermittent MI strategies. The presented protocol is described and illustrated using a case study of a woman meeting criteria for four anxiety disorder diagnoses. This study presents session-by-session treatment accounts, as well as pre, post, and follow-up data. Results indicated clinically significant improvement, supporting the utility of intermittent MI strategies within CBT. Implementation recommendations and future research directions are discussed.

Conclusion

2008 ◽  
pp. 222-239
Author(s):  
Yogesk K. Dwivedi
Keyword(s):  
Case Study Research ◽  
Future Research ◽  
Policy And Practice ◽  
Research Directions ◽  
Study Research ◽  
The Future ◽  
Future Research Directions ◽  
The Uk

This chapter provides a conclusion of the results and discussions of the UK case study research presented in this book. The chapter begins with an overview of this research in the next section. This is followed by the main conclusions drawn from this research. Following this, a discussion of the research contributions and implications of this research in terms of the theory, policy and practice is provided. This is ensued by the research limitations, and a review of the future research directions in the area of broadband diffusion and adoption. Finally, a summary of the chapter is provided.

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