• Journal of the Korean Society for Library and Information Science
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• v.50 no.4
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• pp.231-252
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• 2016

Mentoring by faculty advisors is closely related to the personal and professional outcomes of doctoral students. However, few researchers have examined the characteristics of faculty mentors. To deal with this lack of research, the author attempted to explore the characteristics of faculty mentors from the perspective of Library and Information Science (LIS) doctoral students in the United States. In the study, the author combined interviews and a survey to examine the characteristics of faculty mentors. The interview and survey findings present a list of characteristics that are comprehensive and specific to LIS doctoral education. Specifically, the author describes a faculty mentor as a well-rounded person who possesses both professional and interpersonal characteristics. In addition, the findings show some aspects in which the current advising/mentoring could improve. The current study offers a guideline for the accomplishment of doctoral mentoring at a concrete level, rather than vaguely recommending that faculty advisors support the professional and psychosocial development of their students. In a following paper, the author will relate background characteristics of doctoral students to their perception of mentors.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.3
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• pp.5-28
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• 2018

Socialization of doctoral students refers to the process through which they acquire various types of information about their work, department, university, and discipline for their future careers. This study aims to investigate information behaviors, with emphasis on identifying types of information exchanged in mentoring between faculty advisors and their doctoral students in library and information science (LIS). As a first step to developing a content framework for LIS doctoral mentoring, the author interviewed ten LIS doctoral students from nine U.S. universities. Based on data from these interviews, the author identified sixteen types of information exchanged: language, history, coursework, research, skills, teaching, networking, structure, politics, goals, strategies, values, norms/tradition, rules/policies, benefits, and personal life. In comparison with a content framework used, four dimensions were newly added. In addition to the identification of content dimensions, the author observed four meaningful contextual levels to which the content types can be applied: work, department/school, university, and discipline. The qualitative data also showed that interpersonal factors of advisees/advisors and contextual factors might relate to information exchange in doctoral mentoring. In a following paper, the author will present the results of a follow-up survey that tests and generalizes the findings of this study.

• Communications of Mathematical Education
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• v.28 no.3
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• pp.321-338
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• 2014

In this paper, we introduce the history and the present status of the Mathematics Genealogy Project (MGP). The cases of David Hilbert and the first author were used to show how it works. As an example, we explain how to gain useful information such as the granting year of mathematics Ph. D degree holders, the title of dissertation, advisors and descendants from the MGP website. Through a survey of three different groups in MGP on 20~30 significant Korean mathematicians, we found that Korean records in the academic genealogy project are missing or poorly presented in the database of the MGP website. In conclusion, we found a way to improve the situation and provide instructions to submit our information to MGP. We expect our effort can help Korean mathematics and mathematicians to become better exposed to the world. It will help others to understand both the modern history and the future prospect of Korean mathematics.

• International Journal of High-Rise Buildings
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• v.10 no.1
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• pp.55-62
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• 2021

The paper reports the result of a 2-year long research conducted by CTBUH on the design possibilities enabled by the Ropeless and Multidirectional elevator systems, investigating how such a significant innovation (or better to say revolution) in the vertical transportation could affect tall buildings first and cities then. The purpose of the study is to prefigure the adoption of ropeless and multidirectional cabins for tall buildings mobility, with the aim to overcome the evolutionary bottleneck of the high-rise building type due to the exclusively vertical direction of transport, which limited, over the years, the design possibilities in terms of height, shape and relations with the surrounding environment. CTBUH research team, together with professionals in the field and supporting academic advisors, developed a series of design considerations on plan organizations, dispatching alternatives and on the integration of horizontal direction in the circulation, with the aim of anticipating potential and criticality arising from the application of ropeless and multidirectional systems.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.93-102
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• 2022

The purpose of this study is a descriptive research study conducted to investigate college life adaptation, self-directed learning, and career identity in the COVID-19 crisis situation, and to identify factors affecting career identity. The subjects of this study and data collection were from September 1 to October 31, 2021, with 197 nursing students enrolled in two universities in D and C cities. As a result of the study, the factors affecting career identity were adaptation to college life and the number of meetings with academic advisors, and It's explanatory power was 37%. Therefore, in order to improve the career identity of nursing students in the COVID-19 crisis, it is necessary to develop and apply a program to promote college life adaptation, and it is necessary for professors to build a support system through continuous encounters with students.

• Journal of The Korean Association For Science Education
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• v.29 no.5
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• pp.552-563
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• 2009

The purpose of this study is to investigate the students' perception of the learning support system of Korea Science Academy and to propose improvements to it. The impact of the science learning support system on 129 gifted students in Korea Science Academy (KSA) was estimated by using Likert-type items and the multiple-choice method approach for more comprehensive evaluation. The results of our investigation are as follows: First, the learning support system of KSA appears globally useful to the students. The list of educational usefulness to the students comprises, in the decreasing order of utility, classroom work, Internet, lab activities, reading rooms, library, research meetings and clubs, academic advisors (AA), SAF (Science Academy Fair), e-learning system, and finally colloquia by invited lecturers. Second, what the gifted students hope for in the realm of learning support from KSA are learning guides by subject teachers, presentation skill program, the constructions of on/off-line learning communities, etc. It seems that the results of this study would be helpful in improving the learning support system, and will provide useful information for planning the direction of future science-gifted education programs at the high-school level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.195-205
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• 2018

This study was a descriptive investigation of the effects of nursing students' major satisfaction and professor-student interaction on their adjustment to university life. For this investigation, data were collected from July 22 to August 15, 2017. The collection was made through a questionnaire survey of nursing students in their 1st or 2nd year at one of eight colleges or universities located in B Metropolitan City, U Metropolitan City and G City. Participants were informed of the purpose of the study and agreed to participate in it. Of all the questionnaire sheets collected after the survey, those filled in by 205 participants were finally used for analysis here, with those by others excluded because they were considered to have been inappropriately filled out. The findings of this study can be summarized as follows. Nursing students surveyed in the study were significantly different from one another with respect to adjustment to university life depending on grade, health status, interpersonal relationships, desired career, academic achievement and family life level. Moreover, nursing students who had higher satisfaction with their major and more interactions with their professors were likely to adjust better to university life. In addition, regression analysis revealed that the nursing students' satisfaction with their major had the biggest effect on their adjustment to university life. Taken together, the results suggest that nursing students in their 1st or 2nd year of school should continue to be provided with curricular or extracurricular programs designed to improve their major satisfaction and that they should be given opportunities for communication with or counseling from their advisors or other nursing professors from the onset of university life.

• Journal of Korean Society of Archives and Records Management
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• v.11 no.1
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• pp.139-159
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• 2011

This study investigated the perceived significance of laboratory(lab) notebooks and the creation and maintenance of them from the perspectives of graduate students and professors in science fields. Semi-structured interviews of three professors and four graduate students were conducted. The interviewees were from three university laboratories of physics, chemistry and biological science. While professors perceived administrative continuity to be a reason for creating lab notebooks, students valued lab notebooks as a memory, and emphasized learning professional knowledge and skills through the recordkeeping practice. Students understood the ownership of lab notebooks and professors wanted to keep lab notebooks until they retire. Interviewees focused more on the content of lab notebooks rather than the form and the structure. They were also not willing to adopt an electronic lab notebook system. Students learned how to create lab notebooks through a course, their current or former academic advisors, seniors in the lab or well-written sample lab notebooks. In particular, students have learned how to create lab notebooks within their laboratories, which are considered to be communities of practice. In this sense, professors responsible for managing laboratories play an important part in teaching students the recordkeeping practice. University archives should also be more concerned with managing and preserving lab notebooks created from their universities.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.231-252
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• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.