Lujie Karen Chen

32 papers A* 3A 1B 2Journal 5Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	'Why Do I Feel Like a Fraud?': Understanding Imposter Phenomenon in Computing Students through Ecological Momentary Assessment. SIGCSE (1) Yetunde Esther Okueso, Sydnee Angus, Sri Kavya Penta, Lujie Karen Chen
2026	J	`jnl`	ABii at School: Findings from a Long-Term In-School Field Study with a Commercial Robot-Assisted Learning System. Educ. Inf. Technol. Lujie Karen Chen, LeaAnne Daughrity, Marie E. Sakowicz, Foad Hamidi, Karrie Godwin, Lin Lipsmeyer
2026	—	`conf`	Developing Problem-Solving Competency in Data Science: Exploring A Case-Based Approach. SIGCSE (1) Lujie Karen Chen, Maryam M. Alomair, Muhammad Ali Yousuf, Shimei Pan
2026	A*	`conf`	Exploring Student Feedback Needs and Design Opportunities in Data Storytelling Education. CHI Jennifer Posada, Taha Hassan, Lujie Karen Chen, Louise Yarnall, Jiaqi Gong
2026	—	`conf`	Fostering Cross-disciplinary Competency in Undergraduate Data Science Education: Exploring a Collaborative Teaching Approach. SIGCSE (2) Lujie Karen Chen, Katie Birger
2026	—	`conf`	Personal Informatics in Undergraduate Data Science: Learning by Analyzing the Self. SIGCSE (2) Lujie Karen Chen, Jennifer Posada, Sydnee Angus
2026	—	`conf`	Rethinking the Future of Data Science Education: A Case for Thoughtful Design to Integrate AI into the College Classroom. SIGCSE (1) Louise Yarnall, Hui Yang, Sophia Ouyang, Lujie Karen Chen
2026	—	`conf`	Show or Tell? Piloting an AI Feedback Tool for Data Story Reading in Introductory Data Science. SIGCSE (2) Lujie Karen Chen, Supakit Boonsongprasert, Sachin Pathak
2026	—	`conf`	Story Studio Plus: Coaching Data Storytelling Competency in the era of AI. SIGCSE (2) Lujie Karen Chen, Taha Hassan, Louise Yarnall, Jiaqi Gong
2025	A*	`conf`	Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract). AAAI Katherine Guerrerio, Lujie Karen Chen, Lisa Berlin, Brenda Jones Harden
2025	B	`conf`	Causal Explanation of the Quality of Parent-Child Interactions with Multimodal Behavioral Features. ICMI Katherine Guerrerio, Lujie Karen Chen, Lisa Berlin, Brenda Jones Harden
2025	—	`conf`	Engaging K-12 Learners in Data Annotation for AI Climate Models. SIGCSE (2) Michael MacFerrin, Edward Boyda, Kimberly Young, Josephine M. Namayanja, Aneesh Subramanian, Mohamed F. Mokbel, Lujie Karen Chen, Vandana P. Janeja
2025	—	`conf`	Modeling Socially Constructed Knowledge Using Multimodal Machine Learning: A Case Study in K-12 AI Literacy Education Classroom. AIED Companion (2) Md Biplob Hosen, Lujie Karen Chen, Sancharee Hom Chowdhury, Erin Bosarge, Na Gong, Woei Hung, Becky Tomaso, Shenghua Zha
2025	—	`conf`	Predicting Students' Interest from Small Group Conversational Characteristics: Insights from an AI Literacy Education with High School Students. SIGCSE (2) Shenghua Zha, Lujie Karen Chen, Woei Hung, Na Gong, Pamela Moore, Bethany Klemetsrud
2025	—	`conf`	Story Studio: A Coaching Tool to Support the Development of Data Storytelling Competency at Scale. SIGCSE (2) Lujie Karen Chen, Louise Yarnall, Jiaqi Gong
2025	—	`conf`	Supporting Computing Transfer Students Through Near-Peer Mentoring: Insights from Co-Design Studies for a Peer-Mentoring Support System. LAK Workshops Prachee Alpeshkumar Javiya, Nisha Anthraper, Sai Iluru, Lujie Karen Chen, Andrea Kleinsmith
2024	—	`conf`	Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts. SIGCSE (1) Vandana P. Janeja, Maria Sanchez, Yi Xuan Khoo, Claudia von Vacano, Lujie Karen Chen
2024	—	`conf`	Assessment-via-Teaching: Exploring an Alternative Assessment Strategy in Undergraduate Introductory Data Science Course. SIGCSE (2) Lujie Karen Chen, Justin Thai
2024	—	`conf`	Foundational Tools for Coaching Data Storytelling. SIGCSE (2) Lujie Karen Chen, Jiaqi Gong, Louise Yarnall
2024	—	`ed.`	Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. LAK Workshops Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt
2024	—	`conf`	Large Language Models for Intelligent Coaching in Data Science Problem Solving: A Preliminary Investigation. HEXED/L3MNGET@EDM Maryam Alomair, Shimei Pan, Lujie Karen Chen
2024	—	`conf`	Parsing Post-deployment Students' Feedback: Towards a Student-Centered Intelligent Monitoring System to Support Self-regulated Learning. AIED Companion (1) Prachee Alpeshkumar Javiya, Andrea Kleinsmith, Lujie Karen Chen, John Fritz
2024	—	`conf`	PeerConnect: Co-Designing a Peer-Mentoring Support System with Computing Transfer Students. CHI Extended Abstracts Nisha Anthraper, Prachee Javiya, Sai Iluru, Lujie Karen Chen, Andrea Kleinsmith
2024	J	`jnl`	Quantifying the Quality of Parent-Child Interaction Through Machine-Learning Based Audio and Video Analysis: Towards a Vision of AI-assisted Coaching Support for Social Workers. ACM J. Comput. Sustain. Soc. Atefeh Jebeli, Lujie Karen Chen, Katherine Guerrerio, Sophia Papparotto, Lisa Berlin, Brenda Jones Harden
2024	—	`conf`	Show and Tell: Exploring Large Language Model's Potential in Formative Educational Assessment of Data Stories. GEN4DS@VIS Naren Sivakumar, Lujie Karen Chen, Pravalika Papasani, Vigna Majmundar, Jinjuan Heidi Feng, Louise Yarnall, Jiaqi Gong
2024	—	`conf`	Towards Automated Multiple Choice Question Generation and Evaluation: Aligning with Bloom's Taxonomy. AIED (2) Kevin Hwang, Kenneth Wang, Maryam Alomair, Fow-Sen Choa, Lujie Karen Chen
2023	J	`jnl`	A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement. Frontiers Artif. Intell. Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava
2023	J	`jnl`	Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. J. Learn. Anal. Rebecca Ferguson, Hassan Khosravi, Vitomir Kovanovic, Olga Viberg, Ashish Aggarwal, Matthieu J. S. Brinkhuis, Simon Buckingham Shum, Lujie Karen Chen, Hendrik Drachsler, Valerie A. Guerrero, Michael Hanses, Caitlin Hayward, Ben Hicks, Ioana Jivet, Kirsty Kitto, René F. Kizilcec, Jason M. Lodge, Catherine A. Manly, Rebecca L. Matz, Michael Meaney, Xavier Ochoa, Brendan A. Schuetze, Marco Spruit, Max van Haastrecht, Anouschka van Leeuwen, Lars van Rijn, Yi-Shan Tsai, Joshua Weidlich, Kimberly Williamson, Veronica X. Yan
2023	A*	`conf`	Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract). AAAI Maryam Alomair, Shimei Pan, Lujie Karen Chen
2023	J	`jnl`	Towards Explainable and Safe Conversational Agents for Mental Health: A Survey. CoRR Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar
2021	B	`conf`	Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching. EDM Lujie Karen Chen, Joseph D. Ramsey, Artur Dubrawski
2021	A	`conf`	Timing of Support in One-on-one Math Problem Solving Coaching: A Survival Analysis Approach with Multimodal Data. LAK Lujie Karen Chen