Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent
Rainer Winkler, Sebastian Hobert, Antti Salovaara, Matthias Söllner, Jan Marco Leimeister
摘要
Enrollment in online courses has sharply increased in higher education. Although online education can be scaled to large audiences, the lack of interaction between educators and learners is difficult to replace and remains a primary challenge in the field. Conversational agents may alleviate this problem by engaging in natural interaction and by scaffolding learners' understanding similarly to educators. However, whether this approach can also be used to enrich online video lectures has largely remained unknown. We developed Sara, a conversational agent that appears during an online video lecture. She provides scaffolds by voice and text when needed and includes a voice-based input mode. An evaluation with 182 learners in a 2 x 2 lab experiment demonstrated that Sara, compared to more traditional conversational agents, significantly improved learning in a programming task. This study highlights the importance of including scaffolding and voice-based conversational agents in online videos to improve meaningful learning.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper18
- ArgueTutor: An Adaptive Dialog-Based Learning System for Argumentation SkillsThiemo Wambsganss, Tobias Kueng, Matthias Söllner, Jan Marco LeimeisterCHI 2021 · 被引用 126 次
- Towards Mutual Theory of Mind in Human-AI Interaction: How Language Reflects What Students Perceive About a Virtual Teaching AssistantQiaosi Wang, Koustuv Saha, Eric Gregori, David A. Joyner 等CHI 2021 · 被引用 115 次
- Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo ChatJohn Chen, Xi Lu, Yuzhou Du, Michael Rejtig 等CHI 2024 · 被引用 47 次
- Promptiverse: Scalable Generation of Scaffolding Prompts Through Human-AI Hybrid Knowledge Graph AnnotationYoonjoo Lee, John Joon Young Chung, Tae Soo Kim, Jean Y. Song 等CHI 2022 · 被引用 32 次
- Exploring the Effects of Incorporating Human Experts to Deliver Journaling Guidance through a ChatbotYi-Chieh Lee, Naomi Yamashita, Yun HuangCSCW 2021 · 被引用 28 次
相关 Paper
- Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course EvaluationsThiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser 等CSCW 2022 · 被引用 17 次
- Perceive, Adapt, and Interact: An Intelligent Virtual Agent for Education in Mixed RealityNaveed Ahmed, Zulaiha Afrah Sadakathullah Shaduly, Mohammed Lataifeh, Imad AfyouniIEEE VR 2026
- Who You Explain To Matters: Learning by Explaining to Conversational Agents with Different Pedagogical RolesZhengtao Xu, Junti Zhang, Anthony Tang, Yi-Chieh LeeCHI 2026 · 被引用 2 次
- "Elinor's Talking to Me!": Integrating Conversational AI into Children's Narrative Science ProgrammingYing Xu, Valery Vigil, Andres S. Bustamante, Mark WarschauerCHI 2022 · 被引用 39 次
- Visual StoryCoder: A Multimodal Programming Environment for Children's Creation of StoriesGriffin Dietz, Nadin Tamer, Carina Ly, Jimmy K. Le 等CHI 2023 · 被引用 21 次
