Type of Credit: Elective
Credit(s)
Number of Students
This graduate course will introduce students a range of fundamental issues about new media convergence by examining the impacts of ICT technologies. First, students will learn how to use analytical lenses and mixed-method approaches to investigate new media convergence phenomenon at individual, organizational, and industry levels. The socio-political, economic, and cultural issues involved in media transformation and diffusion of emerging technologies will be examined. Next, this course will investigate how emerging technologies (eg, multiscreen social TV, social (ro)bots and generative AI ) shape media and communication industries and audiences/users. In addition to convergence and innovations, technology-enabled opportunities and risks are key concepts to be covered in this course. We will discuss concerning technological impacts (eg, media addiction, fake news, disinformation and deepfakes). Through video conferencing and online teaching, the instructor will invite experts from Stanford Social media Lab, National University of Singapore and Nanyang Technological University to co-teach and share new media insights and experiences. In the end of semester, students will complete a rigorous research article regarding new media convergence with empirical data.
*This course will incorporate online teaching with Dr. Sunny Liu (Associate Director, Stanford Social Media Lab); Dr. Natalie Pang (Associate Professor, Dept. of New Media Communication, National University of Singapore) and Dr. Edson Tandoc, (Professor , Wee Kim Wee School of Communication, Nanyang Technological University).
能力項目說明
OBJECTIVES
Media industries and society are transforming by the forces of emerging and convergent technologies. This course is essential for students to get familiar with emerging technologies and learn how to conduct new media research and address practical issues in media innovations, transformation, and risk aspects. Specifically,
LEARNING OUTCOMES
To keep abreast of rapid technological changes, the instructor selects emerging media cases for teaching and class discussions. Guest lecturers with domain knowledge expertise will share insights about latest developments and impacts of new media convergence. Students will expose to emerging media phenomenon in various contexts, including United States, Singapore, and Taiwan. To enhance international perspectives and provide refreshing inputs, students are encouraged to share local new media cases during discussions and topical presentations, which co-construct the vibrant learning dynamics and enriched experiences. With respect to the final project, students will be trained to conduct empirical research regarding new media convergence in various contexts. During the research process, students will obtain solid research skills and research collaborative experiences. Additionally, they will learn the different developmental trajectories of emerging technologies and their impacts in various countries.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
|
Date |
Topic/Event |
Readings |
Special Notes Deadlines |
|
Week 1 2/21 |
Introduction & course overview Understand new media & disruptive innovation Dr. Trisha Lin
|
Book: Grant, A. & Meadows Ch1&3 (ICT) Miller (2011) Ch3 Video Disruptive innovation |
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|
Week 2 2/28 |
Peace Memorial Day holiday |
|
|
|
Week 3 3/6 |
New media convergence & theoretical implications Dr. Trisha Lin |
Nightingale & Dwyer Ch2,3 Article:
|
Homework:Disruptive innovation (Facebook) |
|
Week 4 3/13
|
New media research & mixed-method approaches (Mobile research) Dr. Trisha Lin |
To be decided
|
Discuss disruptive innovationDivide research groups |
|
Week 5 3/20
|
Multiscreen social TV as new convergence & screen dependency Dr. Trisha Lin
|
Article: Lin & Chiang (2016) Lin & Chiang (2017) Lin, Kononova, & Chiang (2019) |
Topical presentation1 |
|
Week 6 3/27 |
Social Robots & older adults Dr. Sunny Liu , Associate Director, Stanford Social Media Lab |
Lin (2023) Lin, Lee & Bautista (2022) |
|
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Week 7 4/03 |
Spring Break Public holiday |
|
|
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Week 8 4/10 |
Generative AI and Well-being Dr. Sunny Liu |
To be decided |
|
|
Week 9 4/17 |
Research proposal presentation Dr. Trisha Lin |
PPT presentations & Q&A |
Topical presentation 2 |
|
Week 10 4/24
|
Social media civic engagement Dr. Natalie Pang , Dept. of Communication & New Media National University of Singapore |
To be decided |
|
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Week 11 5/1 |
Data innovation, privacy & security Dr. Natalie Pang |
To be decided |
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Week 12 5/8 |
Generative AI, trust & risks Dr. Natalie Pang |
To be decided |
|
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Week 13 5/15 |
Changing news consumption patterns: The rise of social media and messaging apps Prof. Edson Tandoc Department of Communication Research, Univ of the Philippines |
To be decided |
Submit data collection & preliminary analysis (upload to Moodle) |
|
Week 14 5/22 |
Moving into social media spaces: From real news to fake news Prof. Edson Tandoc |
To be decided |
|
|
Week 15 5/29 |
Fighting fake news: The need for a new news media literacy Dr. Edson Tandoc |
To be decided |
|
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Week 16 6/5 |
AI Socialbot, deepfakes & misinformation Dr. Trisha Lin |
|
Topical presentation3 |
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Week 17 6/12 |
Dragon Boat Festival holiday
|
No class |
Individual groupsdiscussions if needed (By appointments) |
|
Week 18 6/19 |
Final presentations & Feedback Dr. Trisha Lin
|
15 min presentations & 5 mins Q&A
|
Upload PPT & submit written papers to Moodle & bring a printed copy to class |
Readings may be adjusted based on the class dynamics and learning feedback. Except the textbook, most of the book chapters and journal articles will be uploaded to NCCU Moodle
ASSESSMENT COMPONENT
The student will be assessed according to the course objectives stated in this syllabus through continual assessments (CA) (100%):
1. Class attendance & participation (5%)
As this course is largely seminar-based, participating in class discussions are highly encouraged (5%). Students should read articles assigned by the instructor and selected by the student moderators for discussions. Short assignments will take up 10% marks. Three times of absence without legitimate reasons will result in no attendance score (5%). To be noted, skipping presentations without legitimate reasons will receive a Zero mark. No make-up.
2. Topical Presentation & in-class assignment (20 %: 15% topical presentation; 5% in-class
assignment) (Dr. Lin)
In addition to in-class assignments (posting on Facebook), students select one weekly topics for PPT oral presentation of topical presentation (20%). Topical presentations should integrate knowledge and information from journal articles, book chapters or market reports to elaborate important issues related. Each selects a good-quality paper published after 2020 with proposed questions (one for each presenter). Topics and selected articles ought to obtain prior approval from the instructor (one week before the presentations) and post them to Moodle and Facebook. The final ppt (including answers to Qs) should be uploaded to Moodle one week after the presentation.
3. Online course assignments (25%) (Dr. Liu, Dr. Pang & Dr. Tandoc)
Guest professors will give assignments.
4. New media research term paper (50%)
1) Proposal (10%): Oral presentation (5%) & ppt proposal (5%);
2) Preliminary data analyses (5%)
3) Term paper (35%): Final presentation (10%); written paper (25%)
Proposal: Students work as groups for a proposal which contains introduction, research aims, succinct literature review (relevant studies, theoretic concepts or analytical framework), and method session (with APA references.) Within the scope of new media convergence, the topics are suggested related to groups’ weekly media presentations. Oral ppt presentation is required.
Written Paper: Students work as groups to write a term paper in their selected media presentation area. The topic should focus on either 1) how new media technologies shape traditional media organizations or users, or 2) new media development and impact on industries, professional practices, society or individual users. The length of the article is expected 4,000-5,000 words (excluding references, tables, figures, appendix, etc) with 7th APA-style references. Each group will also give ppt presentations.
Discussants: Individuals must play the role as the discussants for another group’s written papers. Hence, each group must upload the written proposal and final paper three days before the in-class presentations.
# All writing, papers and ppt slides must be uploaded to NCCU Moodle before deadlines.
Grading
Readings will be uploaded to Moodle
Moodle and Facebook Group "NCCU IMICS New Media Convergence" https://www.facebook.com/groups/192204868204639/