Factors influencing the use of technology in higher education in Saudi Arabia: A conceptual framework and future research directions

2021 ◽  
Author(s):  
Yaser Hasan Al‐Mamary ◽  
Mohammed Abdulrab ◽  
Fawaz Jazim ◽  
Imran Khan ◽  
Abdullah Mohammed Al‐Ghurbani
Keyword(s):  
Higher Education ◽  
Saudi Arabia ◽  
Conceptual Framework ◽  
Future Research ◽  
Research Directions ◽  
Factors Influencing ◽  
Use Of Technology ◽  
Future Research Directions ◽  
Technology In Higher Education

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.

Videos as Tools of Expertise-Based Training (XBT) for the Professional Development of Teachers

2017 ◽  
pp. 255-271
Author(s):  
Hatice Sancar-Tokmak
Keyword(s):  
Professional Development ◽  
Instructional Design ◽  
Design Theory ◽  
Working Life ◽  
Future Research ◽  
Research Directions ◽  
Use Of Technology ◽  
Professional Development Of Teachers ◽  
Service Training ◽  
Future Research Directions

Teachers are the main foundations of the education system, and their professional development during their working life is vital in ensuring the success of any attempts to change that system. It is for this reason that in-service training is high on the agenda of most countries, although previous studies have shown that teachers are unable to transfer the knowledge they gain through in-service training to in-class activities, as more long-lasting help is required. One way in which teachers can be provided help in this regard is through the use of technology in line with a strong instructional design theory. This chapter aims to address this issue by showing how videos can be used in the professional development of teachers as part of an expertise-based training (XBT) program. The chapter is compiled in seven main parts: 1) Introduction 2) Background 3) Main Focus of the Chapter 5) Solutions and Recommendations 6) Future Research Directions, and finally, 7) Conclusions.

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 Watch and Learn: Vicarious Threat Learning across Human Development

2021 ◽  
Vol 11 (10) ◽  
pp. 1345
Author(s):  
Yael Skversky-Blocq ◽  
Jan Haaker ◽  
Tomer Shechner
Keyword(s):  
Human Development ◽  
Social Factors ◽  
Neural Mechanisms ◽  
Future Research ◽  
Research Directions ◽  
Factors Influencing ◽  
The Social ◽  
Important Pathway ◽  
Future Research Directions ◽  
Pathological Anxiety

Vicarious threat learning is an important pathway in learning about safety and danger in the environment and is therefore critical for survival. It involves learning by observing another person’s (the demonstrator) fearful responses to threat and begins as early as infancy. The review discusses the literature on vicarious threat learning and infers how this learning pathway may evolve over human development. We begin by discussing the methods currently being used to study observational threat learning in the laboratory. Next, we focus on the social factors influencing vicarious threat learning; this is followed by a review of vicarious threat learning among children and adolescents. Finally, we examine the neural mechanisms underpinning vicarious threat learning across human development. To conclude, we encourage future research directions that will help elucidate how vicarious threat learning emerges and how it relates to the development of normative fear and pathological anxiety.

scholarly journals Impact Tech Startups: A Conceptual Framework, Machine-Learning-Based Methodology and Future Research Directions

2021 ◽  
Vol 13 (18) ◽  
pp. 10048
Author(s):  
Benjamin Gidron ◽  
Yael Israel-Cohen ◽  
Kfir Bar ◽  
Dalia Silberstein ◽  
Michael Lustig ◽  
...  
Keyword(s):  
Machine Learning ◽  
Conceptual Framework ◽  
Impact Category ◽  
Private Investment ◽  
Social Enterprises ◽  
Future Research ◽  
Research Directions ◽  
For Profit ◽  
Future Research Directions ◽  
The Impact

The Impact Tech Startup (ITS) is a new, rapidly developing type of organizational category. Based on an entrepreneurial approach and technological foundations, ITSs adopt innovative strategies to tackle a variety of social and environmental challenges within a for-profit framework and are usually backed by private investment. This new organizational category is thus far not discussed in the academic literature. The paper first provides a conceptual framework for studying this organizational category, as a combination of aspects of social enterprises and startup businesses. It then proposes a machine learning (ML)-based algorithm to identify ITSs within startup databases. The UN’s Sustainable Development Goals (SDGs) are used as a referential framework for characterizing ITSs, with indicators relating to those 17 goals that qualify a startup for inclusion in the impact category. The paper concludes by discussing future research directions in studying ITSs as a distinct organizational category through the usage of the ML methodology.

Connecting Social Enterprise and Higher Education

2017 ◽  
pp. 765-797
Author(s):  
Sara Calvo
Keyword(s):  
Higher Education ◽  
Social Change ◽  
Social Enterprise ◽  
Higher Education Institutions ◽  
Entrepreneurship Education ◽  
Social Enterprises ◽  
Future Research ◽  
Research Directions ◽  
The United Kingdom ◽  
Future Research Directions

Despite the increased attention paid to enterprise and entrepreneurship education in recent years, there exist limited bodies of research on the extent to which higher education institutions support and promote social enterprises. This chapter addresses this by drawing on previous research concerning enterprise and entrepreneurship education in universities and their role as drivers in bringing social change and improvement in individuals and the wider society. This chapter provides many examples of social enterprise curricular and co-curricular programmes in higher education institutions in the United Kingdom and concludes with a discussion of the opportunities and challenges of universities supporting social enterprise initiatives with a roadmap for future research directions.

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