scholarly journals The Influence of “Artificial Intelligence + Human–Computer Interaction” on Teachers’ Psychological Changes in Academic Management in Colleges

2021 ◽  
Vol 12 ◽  
Author(s):  
Honghai Guan ◽  
Qingli Chen ◽  
Song Han ◽  
Baoge Zhang
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Human Computer Interaction ◽  
Teaching Staff ◽  
College Teachers ◽  
Psychological Changes ◽  
Health Level ◽  
Academic Management ◽  
Different Ages ◽  
Professional Titles

The purpose was to analyze the psychological changes of teaching staff in the academic management of local colleges, and briefly explore the role of teaching staff in the development of the social economy and colleges. In the environment of artificial intelligence and human–computer interaction (HCI), first, the relevant theories of teaching staffs’ psychological status and the characteristics of teaching staff in college academic management were analyzed and expounded. Next, the way of the questionnaire was selected to analyze the psychology of teaching staff in college academic management at different ages, professional titles, academic qualifications, disciplines, and teaching years. The results showed that the mental health level of college teachers was lower than the current national adult standard; the mental health level of female teachers in colleges was higher than that of male teachers; the p value of mental health of college teachers with different ages, professional titles, education, disciplines, and teaching years was greater than 0.05, indicating that there was no significant difference; the p-value of professional academic and mental health was less than 0.01, indicating that there was a significant correlation, that was, teachers’ professional academic exerted a significant impact on teachers’ mental health. In short, under the background of artificial intelligence and HCI’s rapid development, higher education was moving forward with high quality, and more attention should be paid to the psychological changes of college teaching staff.

A fully automated conversational agent with artificial intelligence capabilities (Youper) for treating depression and anxiety: A nonrandomized feasibility trial (Preprint)

2019 ◽  
Author(s):  
Jose Hamilton Vargas ◽  
Thiago Antonio Marafon ◽  
Diego Fernando Couto ◽  
Ricardo Giglio ◽  
Marvin Yan ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Financial Incentives ◽  
Empirical Support ◽  
Digital Technologies ◽  
Feasibility Trial ◽  
Depression And Anxiety ◽  
Conversational Agents ◽  
Symptoms Of Depression ◽  
Viable Solution

BACKGROUND Mental health conditions, including depression and anxiety disorders, are significant global concerns. Many people with these conditions don't get the help they need because of the high costs of medical treatment and the stigma attached to seeking help. Digital technologies represent a viable solution to these challenges. However, these technologies are often characterized by relatively low adherence and their effectiveness largely remains empirical unverified. While digital technologies may represent a viable solution for this persisting problem, they often lack empirical support for their effectiveness and are characterized by relatively low adherence. Conversational agents using artificial intelligence capabilities have the potential to offer a cost-effective, low-stigma and engaging way of getting mental health care. OBJECTIVE The objective of this study was to evaluate the feasibility, acceptability, and effectiveness of Youper, a mobile application that utilizes a conversational interface and artificial intelligence capabilities to deliver cognitive behavioral therapy-based interventions to reduce symptoms of depression and anxiety in adults. METHODS 1,012 adults with symptoms of depression and anxiety participated in a real-world setting study, entirely remotely, unguided and with no financial incentives, over an 8-week period. Participants completed digital versions of the 9-item Patient Health Questionnaire (PHQ-9) and the 7-item Generalized Anxiety Disorder scale (GAD-7) at baseline, 2, 4, and 8 weeks. RESULTS After the eight-week study period, depression (PHQ-9) scores of participants decreased by 48% while anxiety (GAD-7) scores decreased by 43%. The RCI was outside 2 standard deviations for 93.0% of the individuals in the PHQ-9 assessment and 90.7% in the GAD-7 assessment. Participants were on average 24.79 years old (SD 7.61) and 77% female. On average, participants interacted with Youper 0.9 (SD 1.56) times per week. CONCLUSIONS Results suggest that Youper is a feasible, acceptable, and effective intervention for adults with depression and anxiety. CLINICALTRIAL Since this study involved a nonclinical population, it wasn't registered in a public trials registry.

scholarly journals Applications of artificial intelligence to improve patient flow on mental health inpatient units - Narrative literature review

Heliyon ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e06626
Author(s):  
Paulina Cecula ◽  
Jiakun Yu ◽  
Fatema Mustansir Dawoodbhoy ◽  
Jack Delaney ◽  
Joseph Tan ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Literature Review ◽  
Patient Flow ◽  
Narrative Literature ◽  
Narrative Literature Review ◽  
Inpatient Units ◽  
Improve Patient

Analysis on the difference of college teachers’ professional pressure and strategies to improve teachers’ mental health under the expectancy theory

Work ◽  
2021 ◽  
pp. 1-15
Author(s):  
Xiao Liang ◽  
Oscar O. Bautista
Keyword(s):  
Mental Health ◽  
Professional Development ◽  
Science Teachers ◽  
Liberal Arts ◽  
Organizational Factors ◽  
Expectancy Theory ◽  
College Teachers ◽  
The Difference ◽  
Intermediate Teachers ◽  
Development Pressure

BACKGROUND: Professional pressure is one of the most concerned issues in society. Teachers are a group of people with greater professional pressure. The pressure sources include students, schools and society. OBJECTIVE: This exploration aims to explore the professional pressure and mental health of college teachers. METHOD: Based on the expectancy theory, the professional pressure and mental health of different college teachers are investigated. The overall steps are as follows: the determination of topic, questionnaire design, questionnaire distribution and recovery, questionnaire data analysis to obtain results, as well as countermeasure analysis based on the results. RESULTS: The investigation suggests that the sores of college teachers’ work pressure load, family life pressure, interpersonal pressure, physical and mental pressure, leadership and organizational factors pressure, career development pressure, scientific research, and professional title pressure are high. From senior to elementary, the pressure of teachers increases first and then decreases. The professional development pressure of liberal arts teachers is significantly higher than that of science teachers and engineering teachers (P <  0.05). Among science and engineering teachers, the professional development pressure of science teachers is relatively high. Men have better mental health than women (P <  0.05). Unmarried teachers have the best mental health status, followed by married and finally divorced (P <  0.05). The mental health of senior and elementary teachers is significantly better than that of sub-senior teachers and intermediate teachers (P <  0.05). CONCLUSION: The investigation on professional pressure and mental health of college teachers can contribute to the related problem solving in China, as well as enrich the content of relevant fields in China.

“There is Nothing New in Cyberspace” a Motion for Debate

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Virtual Reality ◽  
Human Computer Interaction ◽  
Cold Fusion ◽  
Major Advance ◽  
Junk Bonds ◽  
Exciting Development ◽  
Computer Interaction ◽  
The Way

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?

Leveraging Twitter Using Artificial Intelligence to Explore Mental Health Insights in the UK During the COVID-19 Pandemic (Preprint)

2021 ◽  
Author(s):  
Christopher Marshall ◽  
Kate Lanyi ◽  
Rhiannon Green ◽  
Georgie Wilkins ◽  
Fiona Pearson ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Language Processing ◽  
Mental Health Problems ◽  
Well Being ◽  
Research Activity ◽  
Health Crisis ◽  
Key Topics ◽  
The Uk ◽  
The Impact

BACKGROUND There is increasing need to explore the value of soft-intelligence, leveraged using the latest artificial intelligence (AI) and natural language processing (NLP) techniques, as a source of analysed evidence to support public health research activity and decision-making. OBJECTIVE The aim of this study was to further explore the value of soft-intelligence analysed using AI through a case study, which examined a large collection of UK tweets relating to mental health during the COVID-19 pandemic. METHODS A search strategy comprising a list of terms related to mental health, COVID-19, and lockdown restrictions was developed to prospectively collate relevant tweets via Twitter’s advanced search application programming interface over a 24-week period. We deployed a specialist NLP platform to explore tweet frequency and sentiment across the UK and identify key topics of discussion. A series of keyword filters were used to clean the initial data retrieved and also set up to track specific mental health problems. Qualitative document analysis was carried out to further explore and expand upon the results generated by the NLP platform. All collated tweets were anonymised RESULTS We identified and analysed 286,902 tweets posted from UK user accounts from 23 July 2020 to 6 January 2021. The average sentiment score was 50%, suggesting overall neutral sentiment across all tweets over the study period. Major fluctuations in volume and sentiment appeared to coincide with key changes to any local and/or national social-distancing measures. Tweets around mental health were polarising, discussed with both positive and negative sentiment. Key topics of consistent discussion over the study period included the impact of the pandemic on people’s mental health (both positively and negatively), fear and anxiety over lockdowns, and anger and mistrust toward the government. CONCLUSIONS Through the primary use of an AI-based NLP platform, we were able to rapidly mine and analyse emerging health-related insights from UK tweets into how the pandemic may be impacting people’s mental health and well-being. This type of real-time analysed evidence could act as a useful intelligence source that agencies, local leaders, and health care decision makers can potentially draw from, particularly during a health crisis.

scholarly journals Stress and mental health among medical students

2013 ◽  
Vol 141 (11-12) ◽  
pp. 780-784 ◽  
Author(s):  
Dusan Backovic ◽  
Milos Maksimovic ◽  
Dragana Davidovic ◽  
Jelena Ilic-Zivojinovic ◽  
Dejan Stevanovic
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Medical Students ◽  
Adverse Effects ◽  
Mental Health Problems ◽  
Demographic Data ◽  
General Health Questionnaire ◽  
Great Influence ◽  
Teaching Staff ◽  
Medical Studies

Introduction. Medical studies bring many stressful activities to students. Prolonged stress can make adverse effects to mental health and lead to further professional burnout. Objective. The aim of this study was to assess the association of stress impact and adverse effects of medical studies with psychological distress among medical students. Methods. The cross sectional study was conducted on 367 fourth?year medical students of the Faculty of Medicine in Belgrade, by means of the anonymous questionnaire, containing: socio?demographic data, self?reported health status and stressful influences of studying activities. Mental health status was estimated by General Health Questionnaire (GHQ?12). Results. More than 50% of students perceive frequent feeling of psychic tension, and one third has problems with insomnia. Nearly one?half of students assessed their general stress level as moderate or high. Exams were estimated as high stressor in 63.1% of all students. Stressful effects of communication with teaching staff were reported by one quarter of the examinees. The scores of GHQ?12 were above the threshold in 55.6 % of all students. Mental health problems among students were most significantly associated with stressful experience during exams and contacts with teaching staff. Conclusion. Academic stress makes great influence on mental health of medical students. Reduction of stress effects should be directed to optimization of the examination process and improvement of communication skills.

scholarly journals Addressing the Needs of Academic Staff in Supporting Students with Mental Health Conditions in Online Programmes at a Distributed University

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Rachel Stephanie Erskine ◽  
Eilidh MacPhail
Keyword(s):  
Mental Health ◽  
Policy Development ◽  
Online Teaching ◽  
Academic Staff ◽  
Health Conditions ◽  
Teaching Staff ◽  
Face To Face ◽  
Mental Health Conditions ◽  
Time Of Application ◽  
The University

Professional experience prompted the initial discussions of the need to identify increased research and further support for academic staff in teaching online with students who have mental health conditions whether these are disclosed or not at the time of application to a distributed university. With the prevalence of mental health conditions increasing in the general population, it stands to reason that increasing numbers of students with mental health conditions are entering higher education. Studying online is different than being in a face-to-face environment and online teaching staff need to have additional skills to be able to individualise their teaching to cater for their students as well as be able to support those with mental health conditions. It is proposed that research among programme leaders, module leaders and personal academic tutors within the University of the Highlands & Islands is undertaken to contribute the academic perspective to supportive policy development within the University for this group of students.

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