Scripted Vicarious Dialogues: Educational Video Augmentation Method for Increasing Isolated Students’ Engagement

Online Learning & MOOC PlatformsIntelligent Tutoring Systems & Learning AnalyticsK-12 TeachersOnline Course Designers

Title of the Paper

Scripted Vicarious Dialogues: Educational Video Augmentation Method for Increasing Isolated Students' Engagement

Paper Information

  • Subject Area: Educational Technology, Online Learning Experience Design
  • Keywords: Video Learning, Enhanced Learning Environment, Vicarious Learning, Learner Engagement, Virtual Interaction

Research Background and Problem

  • Identified Problem: Academic videos are a convenient form of asynchronous learning, but compared to the social interactions typical in classroom settings, traditional video learning lacks emotional connection, often leading to low emotional, behavioral, and cognitive engagement among learners.
  • Significance of the Problem: Reduced learner engagement directly impacts learning outcomes, and learning environments lacking social interaction fail to sufficiently stimulate students' enthusiasm and ability for deep thinking.
  • Research Motivation: This paper explores how a designed, controllable model of parasocial interaction can allow isolated students to experience classroom-like interaction through video watching, thereby improving engagement.

Solution

  • Proposed Method: This paper introduces the "Scripted Vicarious Dialogues (SVD)" video augmentation model, which constructs pseudo-social interaction scenarios centered on dialogues between teaching assistants and virtual students.
    • SVD mimics scenarios from Zoom-like classrooms, enhancing teacher videos with scripted dialogues between virtual characters to increase interactivity and incorporating Q&A formats to delve into key course content.
  • Innovations:
    • Solidly integrates "Vicarious Interaction Theory" into student learning behavior, proposing fully scripted dialogue designs to ensure relevance and high-quality content.
    • Utilizes virtual characters instead of interactive agents, avoiding issues related to data privacy and conflicts between virtual and real interactions, while still enhancing the social experience of the learning environment.
  • Implementation Steps and Key Techniques:
    1. Concept Design and Theoretical Foundation: Incorporates social constructivism and vicarious interaction theory to design an interaction model based on virtual characters.
    2. Co-Creation Design Research: Collaborates with experienced university instructors and teaching assistants through interviews and prototype designs to define SVD's interface and character requirements.
    3. Script Design Logic: Includes three types of interactions: teacher-student Q&A, classroom social chatter, and non-verbal reactions (e.g., emojis).
    4. Final System Interaction Design: Allows students to control dialogue and learning pace autonomously through a "click to continue" button.

Research Outcomes

  • Specific Results:
    • Academic experimental data demonstrates that SVD significantly improves learners' emotional and behavioral engagement compared to non-interactive video learning formats.
    • When compared to traditional EdPuzzle video enhancement systems, students who preferred SVD exhibited higher levels of attention and interest.
  • Advantages:
    • SVD emphasizes and simulates the social interaction atmosphere of a classroom, establishing strong emotional and behavioral connections with viewers.
    • The scripted approach ensures content consistency and teaching quality.
  • Experimental and Evaluation Results:
    • An experiment involving 40 university students showed that 62.5% preferred the SVD system, with these students scoring significantly higher in emotional and behavioral engagement.
    • SVD demonstrated greater flexibility than EdPuzzle in enhancing emotional experiences and fostering adaptive learning paces.
    • In problem-solving scenarios, SVD particularly benefited from maintaining students' engagement in the answer-confirmation process in a non-intrusive manner.
  • Limitations and Future Directions:
    • The time and complexity of script content generation pose challenges to teachers' training costs. Future research could explore more automated script generation tools to reduce time burdens.
    • While the study focused on history videos, interdisciplinary expansion is needed to validate its applicability to science and technology content.

This paper presents an innovative model for improving asynchronous learning engagement by simulating classroom interactions, providing a practical and effective solution to the challenge of low student engagement in video-based learning.

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https://hci.top/en/papers/chi/96078/2023

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DOI: https://doi.org/10.1145/3544548.3581153
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Source
CHI
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Year
2023
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4 authors
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Subtopics
Online Learning & MOOC Platforms, Intelligent Tutoring Systems & Learning Analytics
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K-12 Teachers, Online Course Designers
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