college counselors
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2022 ◽  
pp. 458-473
Author(s):  
Jacqueline Hawkins ◽  
Kristi L. Santi ◽  
Elizabeth P. McDaniel

Increasing numbers of students with disabilities who have been included in high school have transitioned to college over the past several decades. While many of those students are eligible for accommodations in high school, fewer of those same students with disabilities request or receive accommodations in college. The purpose of this chapter is to present the need to begin the transition process early, present the self-knowledge and skills that students need to support their success, outline the language, laws, and culture of college that students must negotiate, and propose the use of the summary of performance as an initial solution to the challenge of transition. Inclusive education has done much to spur changes in higher education and disability support. The supports are available in higher education. Students need the knowledge and skills to access them, use them, and self-advocate with their college counselors and instructors to meet their goals.


2021 ◽  
Vol 3 (6) ◽  
pp. 205-208
Author(s):  
Yuxin Zhai

College students are more likely to develop psychological difficulties as a result of a lack of preparation, job counselling, and family, economic strain, which will affect their studies and lives throughout the school period. In order to assist students in overcoming obstacles and rebuilding confidence, the author analyses a case of a student disciplinary event in the hopes of discovering a solution and therefore improving job efficiency.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhen Yang ◽  
Muhammad Talha

The purpose of this article is to perform in-depth research and analysis on the artificial intelligence coordination and optimization mechanism of college counseling student management using big data technology. This study places the collaborative ideological and political work of colleges and universities in the context of big data, and by analyzing its basic connotation and changes in the real situation, it explores the development progression of colleges and universities making full use of big data resources to cultivate a collaborative education model, which is conducive to promoting colleges and universities to cultivate a whole staff, whole process, and all-round accurate ideological education and value-led services and to shape excellent young college students with comprehensive growth. The first is to scientifically build a multilevel linked big data management platform for counselor professionalization construction, plan the technical architecture of the organizational platform, build a cloud database of counselor career files, and extract valuable information and data from the organizational activities at the macrolevel and personal activities at the microlevel with counselor professionalization construction activities; the second is to realize the integrated application of information resources for counselor team construction. The second is to realize the integrated application of counselor team construction information resources, visualise and accurately analyze and evaluate the counselor group’s focus on career development and individual counselors’ feedback on career capacity construction, and improve the overall construction, personalized education management level, and self-improvement development ability. Fourth, in the professionalization of counselors, attention should be paid to the scientific selection and prevention of risks of big data application, ensuring the authenticity and reliability of data and leakage prevention and control, etc.


2021 ◽  
Vol 12 ◽  
Author(s):  
Stephanie Dorais ◽  
Daniel Gutierrez

Background: Mental health concerns are climbing steadily on college campuses, and universities do not have the staffing and financial resources to address the overwhelming needs of students seeking counseling services. College counselors generally must place students on waitlists or refer them to external resources. Further, during the COVID-19 pandemic, university counselors have been working tirelessly to treat students through online formats. Alternative, online, evidence-based interventions offer college counselors a significant advantage in effectively treating their students. We seek to expand the empirical evidence for mindfulness interventions through online formats for the college population. We registered the study (ISRCTN13587045) at www.isrctn.com.Objective: We examined the effectiveness of a unique online centering meditation and its impact on stress and trait mindfulness in the college population.Methods: Through a randomized controlled trial, the treatment group participated in a 4-week intervention of centering for 10 min each morning and night. We measured stress and mindfulness in both groups through the Perceived Stress Scale and Cognitive and Affective Mindfulness Scale-Revised at baseline, 2 weeks, and 4 weeks.Results: The centering meditation treatment had a statistically significant positive impact on stress and mindfulness compared to a waitlist control group. The meditation group had an average of 64% adherence rate.Conclusion: The study findings indicate that individuals who participate in a 4-week online centering intervention showed improved levels of stress and trait mindfulness over time.Clinical Trial Registration: WHO International Clinical Registry Platform, identifier: ISRCTN13587045.


2021 ◽  
Vol 24 (3) ◽  
pp. 194-209
Author(s):  
Sean Newhart ◽  
Sterling Travis ◽  
Patrick R. Mullen

2021 ◽  
Vol 7 (5) ◽  
pp. 4938-4949
Author(s):  
Yong Ye

Objectives: In order to further improve the mental health of college counselors, a recommendation algorithm is proposed based on social psychology to study the mental health status and influencing factors of college counselors. Methods: This algorithm analyzes the influencing factors of the user’s mental health by calculating the feature vector on the basis of user’s preference and similarity for the social environment resource. The matrix vector of resource similarity is constructed by the calculated cosine similarity, and the context modeling hierarchical model is constructed. Results: The user’s preference matrix for resources is calculated, so that a personalized recommendation algorithm based on label and collaborative filtering is proposed. Finally, the algorithm and model proposed are validated. Experiments show that when the value of N is 10 or 15, the recommendation algorithm by label can improve the recommendation accuracy and recall rate, which indicates that the proposed algorithm can significantly improve the quality of recommendation results. Conclusion: Therefore, the algorithm proposed can effectively improve the recommendation quality of college counselors’ choice of colleges to alleviate psychological stress.


2021 ◽  
pp. 216769682110253
Author(s):  
Amanda E. Halliburton ◽  
Michele B. Hill ◽  
Bryan L. Dawson ◽  
Jennifer M. Hightower ◽  
Hailey Rueden

The COVID-19 pandemic altered the college experience and substantially impacted emerging adults’ navigation of this life stage. This concurrent mixed-methods study used an online survey, distributed to a southeastern university shortly after the transition to remote learning, to explore and understand college-attending emerging adults’ experiences during COVID-19. A total of 1,220 students ( Mage = 20.9) participated, and the diversity of the demographics was largely consistent with the university population. Participants completed questionnaires about psychopathology and COVID-related stressors, and they were given an opportunity to provide feedback to the university about the adjustment to COVID-19. The most common stressors included loss of routine, lack of social contact, and work/finances. Approximately two-thirds of participants reported anxiety and depression symptoms in the moderate to severe range, and about one-third reported suicidality. The authors discuss the implications of these findings for the ongoing crisis and offer recommendations for universities and college counselors.


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