“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.

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.

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 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.

scholarly journals Towards Full Utilization of Biomass Resources: A Case Study on Industrial Hemp Residue and Spent Mushroom Substrate

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1200
Author(s):  
Wubliker Dessie ◽  
Xiaofang Luo ◽  
Jiachen Tang ◽  
Wufei Tang ◽  
Meifeng Wang ◽  
...  
Keyword(s):  
Raw Materials ◽  
Early Stage ◽  
Future Research ◽  
Spent Mushroom Substrate ◽  
Research Directions ◽  
Biomass Resources ◽  
Future Research Directions ◽  
Industrial Hemp ◽  
Full Utilization

This was early-stage, proof-of-concept research on the full utilization of biomass resources. The current study considered industrial hemp residue (IHR) and spent mushroom substrate (SMS) to demonstrate the initial upstream steps towards the total valorization of biomass. Accordingly, different pretreatment methods such as autohydrolysis, thermal hydrolysis, and thermochemical hydrolysis methods were employed against individual and various mix ratios of IHR and SMS. To this end, raw materials, hydrolysates, and residual solids were analyzed to gain some insights, identify gaps, and suggest future research directions in this area. Implementation of the full utilization of biomass resources is, in fact, not only a matter of transforming the resources into valuable products, but it is also a plausible waste management strategy in the quest towards the development of a circular bioeconomy and sustainable future.

Compassion and Empathy as Transformative Intervention Approaches

2021 ◽  
pp. 493-512
Author(s):  
Leslie Ramos Salazar ◽  
Priyanka Khandewal
Keyword(s):  
At Risk ◽  
Workplace Bullying ◽  
Intervention Research ◽  
Future Research ◽  
Research Directions ◽  
Psychological Constructs ◽  
Intervention Approach ◽  
Self Compassion ◽  
Future Research Directions

The use of empathy, compassion, and self-compassion can aid in the reduction of workplace suffering due to workplace cyberbullying. As such, this chapter defines each of these constructs and reviews their relevance to the management of workplace bullying. The main purpose of the chapter was to review prosocial interventions that incorporate positive psychological constructs such as empathy, compassion, and self-compassion. Prosocial workplace interventions serve to prevent and reduce workplace cyberbullying behavior in at-risk organizations. Interventions can be used to educate and train employees and leaders across organizations on how to cope with workplace cyberbullying as it emerges at work. A case study is offered along with recommendations to highlight how organizations might use an intervention approach to manage workplace cyberbullying. Future research directions are also offered to inspire workplace cyberbullying intervention research in organizations.

A Systematic Literature Review Of Web Search Personalization

2020 ◽  
Vol 13 ◽  
Author(s):  
Sunny Sharma ◽  
Vijay Rana
Keyword(s):  
Literature Review ◽  
Search Engines ◽  
Web Search ◽  
Geographical Location ◽  
Future Research ◽  
Research Directions ◽  
Search Results ◽  
Future Research Directions ◽  
The Web

: The Existing studies have already revealed that the information on the web is increasing rapidly. Ambiguous queries and user’s ability to express their intention through queries have been one of the key challenges in retrieving the accurate search results from the search engine. This paper in response explored different methodologies proposed during 2005-2019 by the eminent researchers for recommending better search results. Some of these methodologies are based on the users’ geographical location while others rely on re- rank the web results and refinement of user’s query. Fellow researchers can use this literature, to define the fundamental literature for their own work. Further a brief case study of major search engines like Google, Yahoo, Bing etc. along with the techniques used by these search engines for personalization are also discussed. Finally, the paper discusses some current issues and challenges related to the personalization which further lays the future research directions.

Co-Creative Learning in Innovation Laboratories Using Lego Serious Play Workshops

2020 ◽  
pp. 2050051
Author(s):  
Odeh R. Al-Jayyousi ◽  
Christopher M. Durugbo
Keyword(s):  
Middle Eastern ◽  
Future Research ◽  
Research Directions ◽  
Practical Applications ◽  
Creative Learning ◽  
Shared Stories ◽  
Learning Scenarios ◽  
Future Research Directions ◽  
Physical Spaces

Although innovation laboratories offer creative and distinct physical spaces for mediating and directing innovation processes, research on their applicability for co-creative learning during serious play, particularly through Lego Serious Play (LSP) workshops remains limited. Previous studies suggest that serious play workshops tend to focus on scenarios, problem solving and reflective processes, with limited considerations for joint co-creation and learning potentials within innovation laboratories. Motivated by the creative prospects of metaphoric representations and shared stories, this study explores the possibilities of harnessing LSP for co-creative learning in innovation laboratories. This case study draws theoretical insights and practical relevance from a co-creative learning workshop involving three learning scenarios within a Middle Eastern and emerging economy context. Findings from the workshop show variability in representations, interactions and reflections, shaping possibilities for co-creative learning in innovation laboratories. Representations focus on systems, solutions and problems during fragmented, model-supported, model-mediated and integrated interactions that underpin a range of instance-based, variance-based, convergence-based and divergence-based reflections. These insights contribute to co-creation literature that views value creation as an amalgamation of open, collaborative and user innovation. The study concludes by discussing its theoretical implications, practical applications, and methodological limitations, which serve as the basis for future research directions.

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