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This study aims to identify and prioritize preferable 2050 future images and the policy agendas of the Republic of Korea using a bottom-up approach, involving legislative staff of the National Assembly as well as experts from various fields.

The authors derived three future images from the future policy agendas selected by experts: society for growth of smart generations (GS), society for sustainability and safety (SS) and society for coexistence and diversity (CD). The survey conducted among legislative staff (n = 189) shows that the most preferred future image was SS. Then, the authors prioritized the policy agendas that aligned with future images using priority calculating methods.

The most prioritized policy agenda was “Social system for coexistence to resolve social conflict,” followed by “Social sustainability through tackling low birth rate.” The next was “Social integration policies to embrace diverse family composition” and “Responding to social change and knowledge transformation caused by artificial intelligence.” Among the top five rankings, two agendas from each SS and CD were selected.

To achieve the preferred future images, implementing policies related to sustainability, human rights and coexistence are necessary for continuous collaboration among stakeholders, especially those from the legislature.

This study presents a method of involving the National Assembly, which is a representative institution of the people and composed of various political parties, to set the national’s future vision and agenda from a long-term perspective.

This paper aims to focus on how doctoral students’ emotional arousal influenced their cognition in a challenging online application activity, that of applying for online Institutional Review Board approval for human subject research. Participants were social science doctoral students. Data were collected in two sessions: a video/audio-recorded work session and a follow-up interview. Results are presented in three themes derived inductively from qualitative data analysis.

The authors took a qualitative approach to study the nature of participants’ experiences. Participants were 11 graduate students recruited as they were about to submit an application for approval from the university’s review board charged with ensuring the ethical treatment of research participants. These students were pursuing doctoral degrees in education fields in a research-intensive US university. Data were collected in two sessions: a video/audio-recorded “work session” in which participants worked on their IRB application, and a post-interview session that used the video-record for stimulated recall. For the first session, participants were instructed to narrate aloud what they were thinking and feeling during the activity. Camtasia software was used to capture each participant’s desktop and mouse pointer movements. Cameras simultaneously captured video and audio recordings of the participants’ facial expressions and speech. These work sessions, and the subsequent interview sessions, occurred in a small quiet room with wireless access. Analysis proceeded in four phases. First, the authors made a transcript of the work sessions, screen-capturing participants’ faces whenever they spoke aloud, took action as they interacted with the website or showed some sort of emotion. They referred to these freeze shots as frames. The frames allowed us to track the time individuals spent in different episodes of the application. Second, the authors labelled the emotions they saw, with two researchers working together and bringing any discrepancies to the larger research team for consensus decisions. Third, to these transcripts of the first session, the authors connected interview transcript segments.

Results are presented in three themes derived inductively from qualitative data analysis. Theme 1 indicates that emotions accompanied processes involved in the online application. Theme 2 suggests that new users differed from more experienced users in the amount, valence and intensity of emotions. Theme 3 describes one source of these differences, experienced users’ greater knowledge of the process and equanimity in the face of possible mistakes. These results shed light on emotions as these arise in the course of accomplishing an increasingly common task, that of filling out a Web application that is personally consequential but not user-friendly.

The authors aimed to understand better the emotional experiences of graduate students by moving beyond the more global explorations of graduate students’ cumulative experiences.