The Research Behind Our Teaching

Author(s):  
Holly Rogers ◽  
Margaret Maytan

The number of scientific studies investigating mindfulness has increased exponentially over the past few decades. This chapter examines some of the science and research studies that are relevant to teaching mindfulness to emerging adults. The chapter briefly reviews the physiology of stress and relaxation. Additionally, the data supporting the efficacy of Koru are reviewed, and an overview of other research findings that may be of interest to emerging adults is provided. For example, studies showing the impact of mindfulness on academic performance are discussed, as well as studies looking at how mindfulness can overcome unconscious bias and can prompt compassionate action.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 646-646
Author(s):  
Jerin Lee ◽  
Natalie Shook

Abstract The past two decades have been marked by a rapidly aging population in the U.S. (U.S. Census Bureau, 2018), making prejudicial attitudes toward older adults (i.e., ageism) and the impact of such attitudes more relevant. As such, ageism researchers have worked tirelessly to not only understand this normalized and insidious form of bias, but also develop efforts to combat it. This symposium will feature four ageism researchers who will showcase both the growing pains and novel contributions of ageism research, ranging from the impact of ageism on psychological health to ageism interventions to issues related to the measurement of ageism. Specifically, Dr. Ayalon will present findings regarding difficulties with the assessment of exposure to ageism and the consequences of ageism for psychological well-being. Dr. Horhota will share research demonstrating challenges associated with confronting ageism. Dr. Levy will present a model showcasing factors associated with the reduction of ageism. Ms. Lee will discuss research findings examining the construct validity of several ageism measures. These talks highlight theoretical and real-world implications associated with the complex nature of ageism, providing important directions for enriching ageism research going forward.


2019 ◽  
Author(s):  
Ricky Leung

UNSTRUCTURED JMIR has attained remarkable achievements in the past twenty years. By depth, JMIR has published the most impactful research in medical informatics and is top ranked in the field. By width, JMIR has spun off to about thirty sister journals to cover topics such as serious games, mobile health, public health, surveillance, and other medical areas. With ever-increasing data and research findings, academic publishers need to be competitive to win readers’ attention. While JMIR is well-positioned in the field, the journal will need more creative strategies to increase its attention base and maintain its leading position. Viable strategies include the creation of online collaborative spaces, the engagement of more diverse audience from less traditional channels, and partnerships with other publishers and academic institutes. Doing so could also enable JMIR researchers to turn research insights into practical strategies to improve personal health and medical services.


The final phase in the research process is the publication of research findings in a paper in scientific journals. Authors who contributed to the developed work are reported in the manuscript. There are now rules and guidelines to help in improving the transparency for the reporting of authorship and contributorship in papers which are discussed in this chapter The appraisal of the quality of scientific and medical can be difficult. Criteria that had been used in the past included journal prestige, the reputation of authors and institution and prestige and estimated importance and relevance of the research field. However, these factors are both qualitative and subjective. Consequently, there is demand for quatitative and objective indicators for evaluating research that is related to published science. The impact factor is perhaps the most widely used indicator that measures and quantifies a journal’s quality.


2020 ◽  
Vol 17 (9) ◽  
pp. 4404-4407
Author(s):  
P. V. Raveendra ◽  
Y. M. Satish ◽  
Padmalini Singh

An emerging trend of implementing Artificial Intelligence (AI) technologies can be seen in such domains that were solely dominated by humans. Today, AI is utilized extensively in HR department to assist and accelerate recruitment and selection process (Martin, F.R., 2019. Employers Are Now Using Artificial Intelligence To Stop Bias In Hiring. Retrieved September 22, 2019, from analyticsindiamag. com: https://analyticsindiamag.com/employersare-using-ai-stop-bias-hiring/.). This paper attempts to present the impact of AI on recruitment and selection process, incorporation of AI in eliminating unconscious biases during hiring. The study addresses the rising questions such as how AI has changed the landscape of recruitment industry, role of AI in recruitment and selection process, whether AI can help in eliminating the unconscious bias during recruitment and selection process. In order to uncover the understanding and figure out the potential solutions that AI brings to the HR process, an extensive review of literature has been carried out. It is concluded by analyzing the past contributions that AI offers potential solution to recruitment managers in optimizing the recruitment and selection process and is able to negate human biases prevalent during hiring. The future waits for augmented intelligence technologies offering better results taking over repetitive administrative jobs completely.


2013 ◽  
Vol 7 (2) ◽  
pp. 106-111 ◽  
Author(s):  
Lisa Bellecci-St.Romain

“Translating Research Into Practice” is a new regular journal feature in which clinicians share clinical case examples that support, elaborate, or illustrate the results of a specific research study. Each column begins with the abstract of the study, followed by the clinician’s description of their own application of standard eye movement desensitization and reprocessing (EMDR) procedures with the population or problem treated in the study. The column is edited by theEMDR Research Foundationwith the goal of providing a link between research and practice and making research findings relevant in therapists’ day-to-day practices. In this issue’s column, Lisa Bellecci-St. Romain references Engelhard et al.’s (2011) study examining the impact of eye movements on recurrent, intrusive visual images about potential future catastrophes—“flash-forwards.” Illustrating the findings by Engelhard et al., Bellecci-St. Romain describes the successful use of the EMDR standard protocol in two cases—a woman fearful of returning to work even after past memories are cleared and a young man in early sobriety whose reprocessing of the past is interrupted by concerns of an imminent court appearance. The case examples are followed with a discussion of the importance of recognizing and targeting flash-forwards as present triggers in the three-pronged EMDR standard protocol.


2020 ◽  
Vol 1 (1) ◽  
pp. 01-07
Author(s):  
Abdus Sami ◽  

This study aims to explore the effect of libraries resources, in the light of the history and background, on the student’s academic performance. The reviewed literature states that students using library resources have greater efficiency and knowledge as compared to the students who do not use the libraries. Over the past twenty years, investigators all over the world have collected a significant amount of evidence pointing out the well-developed schools’ library results in better academic performance of students. By reviewing deeply analysis the review of the literature that effective libraries of any academic institution has deep effects on pupil academic performance and due to these effects, the student can improve their ability to get better academic results. Many numbers of investigations analysis these matters adopting qualitative and quantitative method has been used. Most research studies show the point of views that libraries have a good effect and impact on a pupil school’s performance.


10.2196/16172 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e16172
Author(s):  
Ricky Leung

The Journal of Medical Internet Research (JMIR) has attained remarkable achievements in the past twenty years. By depth, JMIR has published the most impactful research in medical informatics and is top ranked in the field. By width, JMIR has spun off to about thirty sister journals to cover topics such as serious games, mobile health, public health, surveillance, and other medical areas. With ever-increasing data and research findings, academic publishers need to be competitive to win readers’ attention. While JMIR is well-positioned in the field, the journal will need more creative strategies to increase its attention base and maintain its leading position. Viable strategies include the creation of online collaborative spaces, the engagement of more diverse audience from less traditional channels, and partnerships with other publishers and academic institutes. Doing so could also enable JMIR researchers to turn research insights into practical strategies to improve personal health and medical services.


2020 ◽  
pp. 009102601989997
Author(s):  
James Gerard Caillier

Research concerning workplace aggression has become more prevalent over the past several decades. These studies have mainly focused on the antecedents and outcomes of workplace aggression in general or one specific type of workplace aggression. This article took a different approach. Specifically, it tests the impact of workplace aggression overall, as well as several types of workplace aggression, on the following work-related attitudes: satisfaction with job stress, turnover intentions, and meaningfulness of work. The moderating effect of satisfaction with job stress in the workplace aggression–turnover intention relationship and the workplace aggression–meaningfulness of work relationship were also investigated. Research findings demonstrated that workplace aggression decreased satisfaction with job stress and meaningfulness of work. Workplace aggression also increased turnover intentions. However, satisfaction with job stress did not interact with workplace aggression in either of the work-related attitudinal models (i.e., turnover intentions and meaningfulness of work). Furthermore, not all types of workplace aggression were found to affect work attitudes. These results are thoroughly discussed in the article.


2020 ◽  
Vol 10 (6) ◽  
pp. 143-161
Author(s):  
Denis Andreevich Petrusevich ◽  

Introduction. The article examines the problem of assessing students' academic performance in the current situation. The purpose of the paper is to evaluate the influence of e-learning and some social and behavioral parameters on students’ academic performance. Materials and Methods. The author employed the machine learning procedures in order to identify and assess the current problems of the educational system, students’ behavior, and universities’ policy. Methods of mathematical analysis and statistics as well as ensemble methods (gradient boosting and the random forest algorithms) were used in order to achieve high accuracy of the research. Results. The author conducted the analysis of the following datasets devoted to academic performance at higher and secondary educational institutions in a number of countries: Students’ Performance in Portugal, E-learning Student Reactions and Students’ Academic Performance. The purposes of the current study were to identify statistical correlations between social parameters of students and the level of their academic performance and to understand how academic performance is determined by the implementation of online learning and blended learning. The research findings suggest that mathematical statistics and data analysis methods allow to identify correlations between students’ performance data and reveal hidden relationships which can be important for university staff. Conclusions. In conclusion, the author summarizes the results of evaluating the impact of the introduction of e-learning elements and some social parameters on students’ academic performance. Keywords Clustering students; Blended learning; Academic performance evaluation; Digitalization of education; Digital technologies in education; Correlation of features; performance improvement.


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