Further Delineation of “Social/Interpersonal Compatibility's” Role in Employability

2013 ◽  
Vol 6 (1) ◽  
pp. 35-38
Author(s):  
Gerald R. Ferris ◽  
James K. Summers

There has been no more fundamental concept in the field of industrial and organizational (I–O) psychology than “employability,” whereby individuals seek to gain and retain jobs with organizations, and organizations desire to attract and keep quality employees. Indeed, theory, research, and practice in the field continually have sought to identify the best predictors of performance and career success. Expansion of the predictor and criterion domains has been a focus of scholarly and practical concern for at least the past couple of decades, as we have realized that the fundamental nature of work, jobs, and organization have changed considerably in U.S. organizations.

Author(s):  
Roy Trevor Williams ◽  
Jenny Mackness ◽  
Simone Gumtau

<p>It is ironic that the management of education has become more closed while learning has become more open, particularly over the past 10-20 years. The curriculum has become more instrumental, predictive, standardized, and micro-managed in the belief that this supports employability as well as the management of educational processes, resources, and value. Meanwhile, people have embraced interactive, participatory, collaborative, and innovative networks for living and learning. To respond to these challenges, we need to develop <em>practical tools to help us describe these new forms of learning</em> which are multivariate, self-organised, complex, adaptive, and unpredictable. We draw on complexity theory and our experience as researchers, designers, and participants in open and interactive learning to go beyond conventional approaches. We develop a 3D model of landscapes of learning for exploring the relationship between prescribed and emergent learning in any given curriculum. We do this by repeatedly testing our descriptive landscapes (or footprints) against theory, research, and practice across a range of case studies. By doing this, we have not only come up with a practical tool which can be used by curriculum designers, but also realised that the curriculum itself can usefully be treated as emergent, depending on the dynamics<br />between prescribed and emergent learning and how the learning landscape is curated.</p>


Author(s):  
Natti Ronel ◽  
Ety Elisha

Positive criminology is an innovative perspective that underlies existing theories and models emphasizing the positive forces that influence and assist individuals at risk and offenders in their recovery process. The theories and models included in positive criminology (e.g., peacemaking criminology, social acceptance, crime desistance, restorative justice) are not new; its novelty lies in their inclusion in a unique and distinct conceptualization. This has led to a shift in discourse and research in criminology, which goes beyond focusing on risk and criminogenic factors while focusing on the positive factors and strengths that help individuals to rehabilitate and successfully integrate into the community. Studies and practices developed over the past decade have confirmed and reinforced the assumptions of the positive criminology perspective. Despite its specific limitations, positive criminology provides a promising platform for further developments and innovations in research in theory (e.g., positive victimology, spiritual criminology) and in practice (e.g., restorative justice, problem-solving courts, community policing).


2007 ◽  
Author(s):  
Seema Shah ◽  
Sara McAlister ◽  
Kavitha Mediratta ◽  
Roderick Watts ◽  
Obari Cartman ◽  
...  

2020 ◽  
Author(s):  
James Sampson ◽  
Janet Lenz ◽  
V. Casey Dozier ◽  
Debra Osborn ◽  
Gary Peterson ◽  
...  

AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.


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