AECT Standard 5: Research

Candidates explore, evaluate, synthesize, and apply methods of inquiry to enhance learning and improve performance.

Indicators:

  • S.5.1 Theoretical Foundations – Candidates demonstrate foundational knowledge of the contribution of research to the past and current theory of educational communications and technology.
  • S.5.2 Method – Candidates apply research methodologies to solve problems and enhance practice.
  • S.5.3 Assessing/Evaluating – Candidates apply formal inquiry strategies in assessing and evaluating processes and resources for learning and performance.
  • S.5.4 Ethics – Candidates conduct research and practice using accepted professional and institutional guidelines and procedures.

Motivational Research Proposal: Using the ARCS Model of Motivational Design to Enhance Student Engagement in the Sixth-Grade Earth and Space Science Unit "The Earth and Society"

Course: EME 6419 Motivational Design for Learning Technology, Summer 2025

Artifact Details

  • Purpose and Nature of the Artifact: This artifact consists of a comprehensive research proposal and an accompanying 23-minute video presentation titled "Motivational Research Proposal: Using the ARCS Model of Motivational Design to Enhance Student Engagement in the Sixth-Grade Earth and Space Science Unit 'The Earth and Society'". Developed for EME 6419: Motivational Design in Summer 2025 under the direction of Dr. Sanghoon Park, the project addresses a critical pedagogical problem: middle school student disengagement when encountering abstract, complex scientific concepts (such as climate systems, sustainability, and human-environment interactions) within a fixed district curriculum map. The primary purpose of this artifact is to apply an established motivational design methodology to convert a passive, lecture-heavy science unit into an active, student-centered, and hybrid learning environment.
  • Description of the Design Development Process: 

    The design process followed John Keller’s 10-step Motivational Design Process. It began with collecting course and learner data for 11–12-year-old students in Pasco County Schools. I then conducted an audience analysis to assess attention readiness, perceived relevance, confidence, and satisfaction. Next, I completed an ARCS analysis of existing classroom materials to identify motivational gaps, including repetitive pacing and limited student autonomy. Based on these findings, I developed five motivational objectives with aligned qualitative and quantitative measures. I then created a matrix of motivational strategies and embedded them into a six- to seven-day blended learning plan. The plan combined teacher-led instruction with curated digital resources, including OpenSciEd, Khan Academy, PBS LearningMedia, and simulations, delivered through the district’s Canvas learning management system (myLearning).

  • Explanation of How the Artifact Demonstrates the Sub-Standards:

    • S.5.1 Theoretical Foundations: The proposal demonstrates a strong understanding of how educational theory informs instructional practice. It is grounded in Keller’s ARCS Model of Motivational Design (Keller, 1987), which includes Attention, Relevance, Confidence, and Satisfaction. The literature integrates research showing that real-world contexts improve relevance (Bulunuz & Jarrett, 2010), scaffolded inquiry supports attention (Bodzin & Cates, 2002), and project-based learning enhances satisfaction and learner agency (Krajcik & Shin, 2014). It also connects to Alderfer’s ERG Theory by showing how collaborative learning supports relatedness and esteem needs.
    • S.5.2 Method: The project uses an instructional design and research-based approach guided by Keller’s 10-step motivational design process. Strategies were aligned with adolescent learners’ needs. Attention was supported through real-world examples such as weather events and satellite imagery. Relevance was built through Florida-based topics like recycling and hurricane preparedness. Confidence was supported with “I Can” statements, graphic organizers, and group roles. Satisfaction was addressed through a final project where students propose solutions for reducing local plastic waste using digital tools such as Canva or slides.
    • S.5.3 Assessing and Evaluating: The artifact uses a mixed-methods evaluation approach combining summative assessments aligned with Florida’s Next Generation Sunshine State Standards and formative digital tools. A Course Interest Survey (CIS) is administered at the beginning and midpoint using Google Forms to measure changes in engagement and confidence. Additional tools include Kahoot for prior knowledge checks, Poll Everywhere for engagement feedback, Edpuzzle for video interaction data, and Padlet for reflections.
    • S.5.4 Ethics: Ethical standards and district requirements are embedded throughout the design. The proposal follows pacing guides, curriculum safety rules, and science standards. It supports diverse learners through multiple formats, including visual, audio, and hands-on activities. Digital equity and privacy are ensured by using only district-approved tools within the Canvas environment.

  • Competencies and Skills Gained: Through this inquiry, I mastered the application of John Keller’s 10-step motivational design process within a K-12 setting. I gained advanced skills in conducting targeted audience behavioral analyses, translating macro-level motivational theories into granular classroom tactics, building balanced hybrid lesson plans, and synthesizing qualitative feedback from digital tools (such as Edpuzzle, Padlet, and specialized Course Interest Surveys) to drive continuous, iterative data-informed instructional revisions.

  • Role and Specific Contributions: My role was Principal Researcher, Instructional Designer, and Presenter for this individual project. I conducted the full literature review and authored the complete 10-step motivational design narrative. I aligned the curriculum with Florida’s Next Generation Sunshine State Standards and developed the Kahoot assessment questions. I also designed the infographic layout for the Course Interest Survey in the appendix and recorded and produced the audiovisual presentation summarizing the implementation framework.

Where Next for Distance Education Engagement? 
Insights from Two Foundational Literature Reviews

Course: EME6457 Distance Learning, Spring 2026

Artifact Details

  • Purpose and Nature of the Artifact: This artifact is an individual research synthesis and academic presentation titled "Where Next for Distance Education Engagement? Insights from Two Foundational Literature Reviews" developed for EME 6457: Distance Learning in Spring 2026. The purpose of this project was to analyze, contrast, and synthesize two major literature reviews from leading distance education journals to determine how the field's understanding of student motivation and engagement has evolved. By comparing a 40 year historical review of motivation theories with contemporary research on artificial intelligence in education, the artifact demonstrates a shift in distance education. This shift moves from focusing on individual learner deficits toward designing holistic, technology enhanced learning environments that actively support motivation and engagement.
  • Description of the Design/Development Process: The development process began with a critical review of two key literature sources: a 40 year historical analysis of motivation in distance education and a systematic review of artificial intelligence in education. A comparative analysis matrix was used to examine research questions, methodologies, and theoretical frameworks. A structured presentation script was then developed to organize the narrative flow, followed by the creation of a media rich slide deck incorporating visual models such as Cultural Historical Activity Theory (CHAT) and engagement frameworks. The final stage synthesized the findings into actionable implications for instructional design and research in distance education.

  • Explanation of How the Artifact Demonstrates the Sub Standards:

    • S.5.1 Theoretical Foundations: This artifact demonstrates sub-standard 5.1 because it traces a 40-year historical trajectory of distance learning theories, contrasting post-2000 individualistic sociocognitive models with contemporary sociocultural perspectives. It synthesizes Ng’s systemic framework of "Distributed Motivation" (rooted in Cultural-Historical Activity Theory) with Zhou’s modern operationalization of behavioral, emotional, and cognitive engagement.
    • S.5.2 Method: This artifact demonstrates sub-standard 5.2 because it applies and critiques rigorous research methodologies—specifically comparing a qualitative, reflective historical review using thematic coding against an empirical, PRISMA-guided systematic review—to solve engagement barriers and enhance practical online instructional design.
    • S.5.3 Assessing/Evaluating: This artifact demonstrates sub-standard 5.3 because it applies formal inquiry strategies to evaluate data collection methods in distance education. It critiques the limitations of traditional self-reported survey instruments and contrasts them with high-fidelity, multi-source AI data streams (such as clickstream data, forum logs, and facial recognition) used for real-time engagement tracking and intervention.
    • S.5.4 Ethics: This artifact demonstrates sub-standard 5.4 because it explicitly addresses critical professional, institutional, and legal guidelines. It confronts the ethical pitfalls of individualistic models that implicitly blame students for dropping out, while directly evaluating the modern socio-ethical risks of AI-driven platforms, including student surveillance, data privacy violations, and algorithmic bias.
  • Competencies and Skills Gained: Through this project, I strengthened my competencies in structural literature synthesis, comparative matrix design, and secondary data analysis. I advanced my theoretical knowledge of Cultural-Historical Activity Theory (CHAT) and multi-dimensional engagement frameworks within distance learning environments. Additionally, I refined my professional skills in academic scriptwriting, conceptual infographic creation, and presentation delivery.
  • Role and Specific Contributions: This was an individual project. I was solely responsible for all phases of the work, including selecting and analyzing the literature, conducting the comparative research analysis, writing the full narrative in the narration script document, designing the visual materials in the presentation slide deck, and evaluating the institutional and ethical implications of the research.

The Role of AI-Supported Learning Tools in Promoting Classroom Inclusion

Course: EDF 6481 Foundations of Educational Research, Summer 2026

Artifact Details

  • Purpose and Nature of the Artifact: This artifact is a co-authored empirical research proposal titled “The Role of AI-Supported Learning Tools in Promoting Classroom Inclusion,” developed for EDF 6481: Foundations of Educational Research Course in Summer 2026 under the direction of Dr. Liliana Rodríguez-Campos. The purpose of this study is to examine K–12 general and special education teachers’ perceptions of how artificial intelligence tools influence student engagement, participation, accessibility, and inclusion for learners with diverse needs. The proposal explores how adaptive technologies are implemented in practice and identifies both benefits and implementation challenges in classroom settings.
  • Description of the Design and Development Process: The research proposal followed a structured, multi-stage design process. First, a literature review was conducted to synthesize key developments in special education technology alongside recent research on K–12 tutoring systems and generative AI applications. Second, an explanatory sequential mixed-methods design was developed to guide the study. Third, a quantitative survey instrument using a 5-point Likert scale was created and prepared for distribution through Qualtrics to measure inclusion-related outcomes. Finally, a qualitative follow-up protocol was developed, including a semi-structured interview guide for Microsoft Teams sessions to explore educators’ experiences, implementation challenges, and ethical concerns.

  • Explanation of How the Artifact Demonstrates the Sub-Standards:

    • S.5.1 Theoretical Foundations: This artifact demonstrates sub-standard 5.1 through its research design, which is grounded in the Universal Design for Learning (UDL) framework developed by CAST and the Harvard Graduate School of Education. The literature review traces the development of inclusive technologies by connecting early special education access research with contemporary multimodal AI learning designs, showing how established theory informs current instructional practice.
    • S.5.2 Method: This artifact demonstrates sub-standard 5.2 by applying a structured mixed methods research design to address a real educational problem. It combines quantitative survey analysis with qualitative interview data to examine complex instructional environments and inform improvements in K–12 practice.
    • S.5.3 Assessing and Evaluating: This artifact demonstrates sub-standard 5.3 by developing evaluation procedures to measure the effectiveness of educational tools. It examines variables such as tool usage, student engagement, participation, and instructional differentiation to assess the instructional value of digital learning resources.
    • S.5.4 Ethics: This artifact demonstrates sub-standard 5.4 through strong adherence to institutional and professional ethical standards. The study includes protocols for informed consent, voluntary participation, and data protection. It also integrates ethical considerations into the research design by examining issues such as algorithmic bias, data privacy, student surveillance, and equitable access.

  • Competencies and Skills Gained: Through this project, I strengthened my skills in mixed methods research design, quantitative survey development, and qualitative semi structured interview protocols. I also improved my ability to apply major theoretical frameworks such as Universal Design for Learning (UDL) to technology enhanced educational contexts. In addition, I developed stronger skills in academic writing, research collaboration, and ethical evaluation in institutional research settings.

  • Role and Specific Contributions: This was a group project developed for EDF 6481 Foundations of Educational Research Course. I served as a primary investigator and contributing researcher within the team. My responsibilities included writing key sections of the literature review focused on teacher perceptions and AI adoption, designing the mixed methods integration framework, developing data analysis procedures for both quantitative and qualitative components, and contributing to the ethical framework addressing data security, privacy, and algorithmic bias.