Andrew Chang

Vanderbilt University

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Papers

Citation

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i-10 index

Research Trends

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Document Type

Co-Authors

Maiga Chang

Athabasca University

Yujun Liu

Fudan University Shanghai Cancer Center

Jia‐Sheng Heh

Chung Yuan Christian University

David Poeppel

New York University

Athena Hsieh

Chung Yuan Christian University

Kyemoon Lee

Dustin Freeman

Occipital (United States)

Zhenghong Wu

Hebei Medical University

Viswadruth Akkaraju

Debbie B. Golos

University of Minnesota

Cooperative Institutions

Chung Yuan Christian University

Fudan University Shanghai Cancer Center

Jilin Province Science and Technology Department

Jilin University

Sichuan Normal University

Chinese Academy of Sciences

Institute of Geographic Sciences and Natural Resources Research

University of Chinese Academy of Sciences

Guangdong University of Technology

Shanghai Customs College

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Portrayal of Deaf characters in Korean movies

The Journal of Deaf Studies and Deaf Education (2025)

Andrew Chang Debbie B. Golos

Abstract Characters in movies have the potential to influence perceptions of how people see themselves. Deaf adolescents who have little opportunity to interact with Deaf peers or family members may be particularly drawn to Deaf people they see in the media. How the media portrays Deaf people may impact Deaf adolescents’ self-perceptions of and language preferences. Yet little is known about the ways Deaf people are portrayed in movies, particularly films developed outside of the United States and not in English. In this study, we utilized content analysis to explore the portrayal of Deaf characters in Korean movies and Deaf involvement in the production of films. Descriptive statistics were used to determine the extent to which characters were portrayed by medical or cultural perspectives of Deaf people. Findings indicate that 68.5% of scenes in the sampled Korean films include medical rather than cultural messages about Deaf people. Additionally, none of the movies had Deaf people directly involved in the production of the films. Implications for future directions regarding identity and portrayal of Deaf people in media are discussed.

Korean culture

10.1093/jdsade/enaf003

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Developing Personalized Knowledge Navigation Service for Students Self-Learning based on Interpretive Structural Modeling

Zhenghong Wu Yujun Liu Maiga Chang Andrew Chang Ming Li

This paper designs a personalized navigation service based on the student cognitive levels. The personalized navigation service takes the interpretive structural modeling to generate concept navigation matrix by using the student cognitive background matrix (retrieved from tests and questionnaire) and the concept relation matrix (retrieved from textbooks). According to the knowledge structure and the concept navigation matrix, the service can provide different students their own knowledge navigation maps.

Matrix (chemical analysis)

Navigation System

10.1109/icalt.2006.1652463

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Five Recommendations to Implementing Cross‐Age Tutoring in Reading

The Reading Teacher (2024)

Andrew Chang Emily Mauer

Abstract Teaching elementary students how to read is undeniably crucial, yet a substantial number of children encounter difficulties despite early interventions. Cross‐age tutoring, a pedagogical approach that pairs older students with younger peers, emerges as a cost‐effective solution that brings academic and social benefits to both the tutor and the tutee. Consequently, cross‐age tutoring programs are widely adopted globally. To maximize the effectiveness of cross‐age tutoring, we offer five evidence‐based recommendations tailored for its implementation. When integrated into the preparation and implementation steps, these recommendations hold the potential to significantly improve learning outcomes for both tutors and tutees.

10.1002/trtr.2351

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Information Needs and Direction for Construction ERP Development

Civil-comp proceedings (2009)

Andrew Chang Kyemoon Lee

10.4203/ccp.81.20

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Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment

arXiv (Cornell University) (2025)

Andrew Chang Viswadruth Akkaraju Ray McFadden Cogliano David Poeppel Dustin Freeman

Videoconferencing is now a frequent mode of communication in both professional and informal settings, yet it often lacks the fluidity and enjoyment of in-person conversation. This study leverages multimodal machine learning to predict moments of negative experience in videoconferencing. We sampled thousands of short clips from the RoomReader corpus, extracting audio embeddings, facial actions, and body motion features to train models for identifying low conversational fluidity, low enjoyment, and classifying conversational events (backchanneling, interruption, or gap). Our best models achieved an ROC-AUC of up to 0.87 on hold-out videoconference sessions, with domain-general audio features proving most critical. This work demonstrates that multimodal audio-video signals can effectively predict high-level subjective conversational outcomes. In addition, this is a contribution to research on videoconferencing user experience by showing that multimodal machine learning can be used to identify rare moments of negative user experience for further study or mitigation.

Videoconferencing

10.48550/arxiv.2501.03190

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Providing supplemental teaching materials in order based on the rough set theory

Kun-Fa Cheng Andrew Chang Maiga Chang Jia‐Sheng Heh

Nowadays, problem-based learning (PBL for short) is a popular teaching strategy for teachers. In the PBL environment students can learn how to solve the real life problems by discussing with their teammates and developing their brainstorm map. How a teacher decides what kinds of teaching materials are appropriate to students according to their learning performance is an important issue. Therefore, this paper proposes a sequencing mechanism to provide the teacher recommendatory sequence of remedial teaching for each group. In this paper the rough set theory is used to discover the hidden data pattern in the tree-like concept map which is transformed from the brainstorm map constructed by the students.

Brainstorming

Remedial education

Tree (set theory)

Sequence (biology)

Problem-Based Learning

10.1109/icalt.2005.228

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A Treasure Hunting Learning Model for Students Studying History and Culture in the Field with Cellphone

Andrew Chang Maiga Chang Athena Hsieh

In the treasure hunting process, the hunters could only get few hints with simple words, therefore they must think over with the experience they learned before. The goal of this paper is to propose a treasure hunting learning model and implement a system based on the model. Within the treasure hunting learning model students will become a treasure hunter when they are learning in the field. The learning model makes learning more fun by asking students some questions according to their learning records and physical position. In order to make the system portable and treasure hunting liked, we implement the treasure hunting learning model with the most simple and common cellphone, that is the text-mode cellphone. To verify the learning model is working, a traditional history and culture course in college was taken as the experiment

Treasure

10.1109/icalt.2006.1652379

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Citations (23)