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권가진 교수

Gajin Kwon

서울대학교 지능정보융합학과 · 컴퓨터과학

연구실 소개

권가진 교수의 연구실은 디지털 기술이 청소년 및 유아의 학습과 행동에 미치는 영향을 심층적으로 탐구하는 데 초점을 맞추고 있습니다. 스마트폰 중독, 온라인 학습 환경에서의 협동 학습, 독서 방식의 디지털 전환 등 다양한 디지털 환경이 발달 단계에 있는 청소년과 유아의 심리적·학습적 요소에 미치는 영향을 실험적·분석적 방법으로 연구합니다. 특히, 보조 기술 기반의 교육적 피드백 시스템과 증강현실 기반의 행동 조절 기법을 통해 기술과 교육의 융합적 응용 가능성을 탐색하고 있습니다.

스마트폰 중독협동학습디지털 독서증강현실 교육피드백 시스템

연구 현황

논문 수
98
총 인용 수
1,292
최근 5년 논문
27
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
27총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
70총합
20222023202420252026

주요 논문

15
1
논문|인용수 124·2021
Application of humanization to survey chatbots: Change in chatbot perception, interaction experience, and survey data quality
Jungwook Rhim, Minji Kwak, Yeaeun Gong, Gahgene Gweon
SJR Q1Computers in Human Behavior
Artificial IntelligenceComputer Science
2
논문|인용수 99·2019
Is smartphone addiction different from Internet addiction? comparison of addiction-risk factors among adolescents
You Jin Jeong, Bongwon Suh, Gahgene Gweon
SJR Q1Behaviour and Information Technology

We investigated the similarities and differences among four addiction groups in Korean adolescents: Non-Addiction (NONE), Smartphone Addiction (SA), Internet Addiction (IA), and Internet-Smartphone Addiction (BOTH). For the dependent variables, we examined 12 addiction-risk factors related to psychology, family, and school environment that can influence the adolescents’ normative developmental path. To collect data, we conducted an addiction-risk factor comparison survey with 768 Korean adolesce

Sociology and Political ScienceSocial Sciences
3
논문|인용수 65·2006
Providing support for adaptive scripting in an on-line collaborative learning environment
Gahgene Gweon, Carolyn Penstein Rosé, Regan Carey, Zachary Zaiss

This paper describes results from a series of experimental studies to explore issues related to structuring productive group dynamics for collaborative learning using an adaptive support mechanism. The first study provides evidence in favor of the feasibility of the endeavor by demonstrating with a tightly controlled study that even without adaptive support, problem solving in pairs is significantly more effective for learning than problem solving alone. The results from a second study offer gui

Developmental and Educational PsychologyPsychology
4
논문|인용수 59·2013
Measuring prevalence of other-oriented transactive contributions using an automated measure of speech style accommodation
Gahgene Gweon, Mahaveer Jain, John McDonough, Bhiksha Raj, Carolyn Penstein Rosé
SJR Q1International Journal of Computer-Supported Collaborative LearningOA
Artificial IntelligenceComputer Science
5
논문|인용수 47·2021
Advantages of Print Reading over Screen Reading: A Comparison of Visual Patterns, Reading Performance, and Reading Attitudes across Paper, Computers, and Tablets
You Jin Jeong, Gahgene Gweon
SJR Q1International Journal of Human-Computer Interaction

We examined the effects of the reading medium (print vs. digital) on readers’ visual patterns, reading performance, and reading attitudes. Two within-subject experiments were conducted with 74 readers, who read articles using three reading media: print, computer, and tablet. The experimental results showed that in terms of visual patterns, readers exhibited a shorter fixation duration and a higher fixation count during print reading than during screen reading; reading performance, as measured on

Information SystemsComputer Science
6
논문|인용수 30·2019
Supporting preschoolers’ transitions from screen time to screen-free time using augmented reality and encouraging offline leisure activity
Hyunjin Shin, Gahgene Gweon
SJR Q1Computers in Human Behavior
EducationSocial Sciences
7
논문|인용수 28·2020
Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model
Bugeun Kim, Kyung Seo Ki, Donggeon Lee, Gahgene Gweon
OA

Solving algebraic word problems has recently emerged as an important natural language processing task. To solve algebraic word problems, recent studies suggested neural models that generate solution equations by using 'Op (operator/operand)' tokens as a unit of input/output. However, such a neural model suffered two issues: expression fragmentation and operand-context separation. To address each of these two issues, we propose a pure neural model, Expression-Pointer Transformer (EPT), which uses

Artificial IntelligenceComputer Science
8
book chapter|인용수 22·2010
A Framework for Assessment of Student Project Groups On-Line and Off-Line
Gahgene Gweon, Soojin Jun, Joonhwan Lee, Susan Finger, Carolyn Penstein Rosé
Developmental and Educational PsychologyPsychology
9
논문|인용수 14·2007
Evaluating the effect of feedback from a CSCL problem solving environment on learning, interaction, and perceived interdependence
Gahgene Gweon, Carolyn Penstein Rosé, Emil Albright, Yue Cui
Computer-supported collaborative learning/˜The œComputer-Supported Collaborative Learning Conference

In this paper, we explore the effect of the form of feedback offered by a computer supported collaborative learning (CSCL) environment on the roles that students see themselves as taking and that their behavior reflects. We do this by experimentally contrasting collaboration in two feedback configurations, one which is identical to the state-of-the-art in intelligent tutoring technology (Immediate Feedback), and one which is based on a long line of investigation of the use of worked out examples

Developmental and Educational PsychologyPsychology
10
논문|인용수 12·2018
MABLE
Gahgene Gweon, Bugeun Kim, Jinyoung Kim, Kung Jin Lee, Jungwook Rhim, Jueun Choi

There has been a growing concern over the huge increase in use of smart media by young children. This study explores the possibility of using augmented-reality(AR) for regulat-ing preschoolers' media usage behavior. With MABLE (mobile application for behavioral learning and education), parents can provide AR-assisted feedback by changing facial expressions and sound effects. When overlaying a smart media, which has MABLE running, in front of a QR marker on a puppet, a facial expression is displa

EducationSocial Sciences
11
논문|인용수 11·2011
The automatic assessment of knowledge integration processes in project teams.
Gahgene Gweon, Pulkit Agrawal, Mikesh Udani, Bhiksha Raj, Carolyn Penstein Rosé
Computer Supported Collaborative Learning
Artificial IntelligenceComputer Science
12
논문|인용수 10·2016
Comfortable with friends sharing your picture on Facebook? - Effects of closeness and ownership on picture sharing preference
Auk Kim, Gahgene Gweon
SJR Q1Computers in Human Behavior
Sociology and Political ScienceSocial Sciences
13
논문|인용수 8·2021
TM-generation model: a template-based method for automatically solving mathematical word problems
Donggeon Lee, Kyung Seo Ki, Bugeun Kim, Gahgene Gweon
SJR Q2The Journal of Supercomputing
Artificial IntelligenceComputer Science
14
book chapter|인용수 7·2005
Exposing Middle School Girls to Programming via Creative Tools
Gahgene Gweon, Jane Ngai, Jenica Rangos
SJR Q2Lecture notes in computer science
Computer Science ApplicationsComputer Science
15
논문|인용수 6·2022
EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers
Bugeun Kim, Kyung Seo Ki, Sangkyu Rhim, Gahgene Gweon
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)OA

In this paper, we propose a neural model EPT-X (Expression-Pointer Transformer with Explanations), which utilizes natural language explanations to solve an algebraic word problem. To enhance the explainability of the encoding process of a neural model, EPT-X adopts the concepts of plausibility and faithfulness which are drawn from math word problem solving strategies by humans. A plausible explanation is one that includes contextual information for the numbers and variables that appear in a give

Artificial IntelligenceComputer Science

대표 연구 분야

Artificial IntelligenceDevelopmental and Educational PsychologyInformation SystemsSociology and Political ScienceHuman-Computer InteractionEducation

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