Min Liu

According to our database, Min Liu authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Making FAQ Chatbots More Inclusive: An Examination of Non-Native English Users' Interactions with New Technology in Massive Open Online Courses.

Songhee Han, Min Liu, Zilong Pan, Ying Cai, Peixia Shao

Int. J. Artif. Intell. Educ., September, 2023

What do students want to know while taking massive open online courses?: Examining massive open online course students' needs based on online forum discussions from the Universal Design for Learning approach.

Songhee Han, Hyangeun Ji, Zilu Jiang, Michael West, Min Liu

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

The Role of Social Presence in MOOC Students' Behavioral Intentions and Sentiments Toward the Usage of a Learning Assistant Chatbot: A Diversity, Equity, and Inclusion Perspective Examination.

Songhee Han, Jiyoon Jung, Hyangeun Ji, Unggi Lee, Min Liu

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Understanding Student Navigation Patterns in Game-Based Learning.

Min Liu, Ying Cai, Songhee Han, Peixia Shao

J. Learn. Anal., December, 2022

Augmented reality technology in language learning: A meta-analysis.

Ying Cai, Zilong Pan, Min Liu

J. Comput. Assist. Learn., 2022

The effects of learning analytics hint system in supporting students problem-solving.

Zilong Pan, Min Liu

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Theory-Informed Problem-Solving Sequential Pattern Visualization.

Zilong Pan, Min Liu

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Developing an Inclusive Q&A Chatbot in Massive Open Online Courses.

Songhee Han, Min Liu

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

Exploring the relationship between social presence and learners' prestige in MOOC discussion forums using automated content analysis and social network analysis.

Wenting Zou, Xiao Hu, Zilong Pan, Chenglu Li, Ying Cai, Min Liu

Comput. Hum. Behav., 2021

2020

What do participants think of today's MOOCs: an updated look at the benefits and challenges of MOOCs designed for working professionals.

Min Liu, Wenting Zou, Yi Shi, Zilong Pan, Chenglu Li

J. Comput. High. Educ., 2020

The impact of learner metacognition and goal orientation on problem-solving in a serious game environment.

Sa Liu, Min Liu

Comput. Hum. Behav., 2020

Learning Analytics Dashboard for Problem-based Learning.

Zilong Pan, Chenglu Li, Min Liu

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Does Social Presence Play a Role in Learners' Positions in MOOC Learner Network? A Machine Learning Approach to Analyze Social Presence in Discussion Forums.

Wenting Zou, Zilong Pan, Chenglu Li, Min Liu

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

2019

Collaborative Problem-Solving Process in A Science Serious Game: Exploring Group Action Similarity Trajectory.

Jina Kang, Dongwook An, Lili Yan, Min Liu

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2017

Using Data to Understand How to Better Design Adaptive Learning.

Min Liu, Jina Kang, Wenting Zou, Hyeyeon Lee, Zilong Pan, Stephanie Corliss

Technol. Knowl. Learn., 2017

Using gameplay data to examine learning behavior patterns in a serious game.

Jina Kang, Min Liu, Wen Qu

Comput. Hum. Behav., 2017

Learning Analytics as an Assessment Tool in Serious Games: A Review of Literature.

Min Liu, Jina Kang, Sa Liu, Wenting Zou, Jeff Hodson

Proceedings of the Serious Games and Edutainment Applications, Volume II, 2017

2016

What We Can Learn from the Data: A Multiple-Case Study Examining Behavior Patterns by Students with Different Characteristics in Using a Serious Game.

Min Liu, Jaejin Lee, Jina Kang, Sa Liu

Technol. Knowl. Learn., 2016

Use of Adaptive Learning to Prepare First-Year Pharmacy Students: Our Experience.

Patrick Davis, Phillip Long, Doris Adams, Stephanie Corliss, Min Liu, Emily McKelroy, Kenneth Tothero, Josh Walker, Kamran Ziai

Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016