An official website of the United States government
Digital storytelling in combination with makerspace activities holds significant potential to engage students and support their learning. When students play, such as through makerspace activities, they engage in critical thinking and problem solving. In our work, we are joining storytelling with computational thinking (CT) practices, physical science exploration, and makerspace activities through a digital narrative-centered learning environment for elementary school. Learning within the environment is undergirded by makerspace play that centers on finding solutions to an open problem—how can stranded scientists on a remote island power up their village using found materials? The learning environment supports students’ CT practices and science content learning as they use and problem solve with physical energy conversion kits, culminating in their creation of an interactive story. We present here a brief case study of the ways students’ experiences with makerspace play support their problem solving and storytelling.
more »
« less
Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning
Narrative and collaboration are two core features of rich interactive learning. Narrative-centered learning environments offer significant potential for supporting student learning. By contextualizing learning within interactive narratives, these environments leverage students’ innate facilities for developing understandings through stories. Computer-supported collaborative learning environments offer students rich, collaborative learning experiences in which small groups of students engage in constructing artifacts, addressing disciplinary challenges, and solving problems. Narrative and collaboration have distinct affordances for learning, but combining them poses significant challenges. In this paper, we present initial work on solving this problem by introducing collaborative narrative-centered learning environments. These environments will enable small groups of students to collaboratively solve problems in rich multi-participant storyworlds. We propose a novel framework for designing and developing these environments, which we are using to create a collaborative narrative-centered learning environment for middle school ecosystems education. In the learning environment, students work on problem-solving scenarios centered on how to support optimal fish health in aquatic environments. Results from pilot testing the learning environment with 45 students suggest it supports the creation of engaging and effective collaborative narrative-centered learning experiences.
more »
« less
- PAR ID:
- 10162222
- Date Published:
- Journal Name:
- Proceedings of the Twelfth International Conference on Interactive Digital Storytelling
- Page Range / eLocation ID:
- 86-100
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Abstract The EngageAI Institute focuses on AI‐driven narrative‐centered learning environments that create engaging story‐based problem‐solving experiences to support collaborative learning. The institute's research has three complementary strands. First, the institute creates narrative‐centered learning environments that generate interactive story‐based problem scenarios to elicit rich communication, encourage coordination, and spark collaborative creativity. Second, the institute creates virtual embodied conversational agent technologies with multiple modalities for communication (speech, facial expression, gesture, gaze, and posture) to support student learning. Embodied conversational agents are driven by advances in natural language understanding, natural language generation, and computer vision. Third, the institute is creating an innovative multimodal learning analytics framework that analyzes parallel streams of multimodal data derived from students’ conversations, gaze, facial expressions, gesture, and posture as they interact with each other, with teachers, and with embodied conversational agents. Woven throughout the institute's activities is a strong focus on ethics, with an emphasis on creating AI‐augmented learning that is deeply informed by considerations of fairness, accountability, transparency, trust, and privacy. The institute emphasizes broad participation and diverse perspectives to ensure that advances in AI‐augmented learning address inequities in STEM. The institute brings together a multistate network of universities, diverse K‐12 school systems, science museums, and nonprofit partners. Key to all of these endeavors is an emphasis on diversity, equity, and inclusion.more » « less
-
null (Ed.)Developing narrative and computational thinking skills is crucial for K-12 student learning. A growing number of K-12 teachers are utilizing digital storytelling, where students create short narratives around a topic, as a means of creating motivating problem-solving activities for a variety of domains, including history and science. At the same time, there is increasing awareness of the need to engage K-12 students in computational thinking, including elementary school students. Given the challenges that the syntax of text-based programming languages poses for even novice university-level learners, block-based programming languages have emerged as an effective tool for introducing computational thinking to elementary-level students. Leveraging the unique affordances of narrative and computational thinking offers significant potential for student learning; however, integrating them presents significant challenges. In this paper, we describe initial work toward solving this problem by introducing an approach to block-based programming for interactive storytelling to engage upper elementary students (ages 9 to 11) in computational thinking and narrative skill development. Leveraging design principles and best practices from prior research on elementary-grade block-based programming and digital storytelling, we propose a set of custom blocks enabling learners to create interactive narratives. We describe both the process used to derive the custom blocks, including their alignment with elements of interactive narrative and with specific computational thinking curricular goals, as well as lessons learned from students interacting with a prototype learning environment utilizing the block-based programming approach.more » « less
-
Recent years have seen growing awareness of the potential digital storytelling brings to creating engaging K-12 learning experiences. By fostering students’ interdisciplinary knowledge and skills, digital storytelling holds great promise for realizing positive impacts on student learning in language arts as well as STEM subjects. In parallel, researchers and practitioners increasingly acknowledge the importance of computational thinking in supporting K-12 students’ problem solving across subjects and grade levels, including science and elementary school. Integrating the unique affordances of digital storytelling and computational thinking offers significant potential; however, careful attention must be given to ensure students and teachers are properly supported and not overwhelmed. In this paper, we present our work on a narrative-centered learning environment that engages upper elementary students (ages 9 to 11) in computational thinking and physical science through the creation of interactive science narratives. Leveraging log data from a pilot study with 28 students using the learning environment, we analyze the narrative programs students created across multiple dimensions to better understand the nature of the resulting narratives. Furthermore, we examine automating this analysis using artificial intelligence techniques to support real-time adaptive feedback. Results indicate that the learning environment enabled students to create interactive digital stories demonstrating their understanding of physical science, computational thinking, and narrative concepts, while the automated assessment techniques showed promise for enabling real-time feedback and support.more » « less
-
Numerous computer-based collaborative learning environments have been developed to support collaborative problem-solving. Yet, understanding the complexity and dynamic nature of the collaboration process remains a challenge. This is particularly true in open-ended immersive learning environments, where students navigate both physical and virtual spaces, pursuing diverse paths to solve problems. In response, we aimed to unpack these complex collaborative learning processes by investigating 16 groups of college students (n = 77) who utilized an immersive astronomy simulation in their introductory astronomy course. Our specific focus is on joint attention as a multi-level indicator to index collaboration. To examine the interplay between joint attention and other multimodal traces (conceptual discussions and gestures) in students’ interactions with peers and the simulation, we employed a multi-granular approach. This approach encompasses macro-level correlations, meso-level network trends, and micro-level qualitative insights from vignettes to capture nuances at different levels. Distinct multimodal engagement patterns emerged between low- and high-achieving groups, evolving over time across a series of tasks. Our findings contribute to the understanding of the notion of timely joint attention and emphasize the importance of individual exploration during the early stages of collaborative problem-solving, demonstrating its contribution to productive knowledge coconstruction. This research overall provides valuable insights into the complexities of collaboration dynamics within and beyond digital space. The empirical evidence we present in our study lays a strong foundation for developing instructional designs aimed at fostering productive collaboration in immersive learning environments.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1007/978-3-030-33894-7_10
