Action Research Plan | Learning Manifesto

An Action Research Plan:

Measuring Authentic Engagement in a Digitally Structured U.S. History Classroom

Overview of the Study

The purpose of this action research study is to examine the impact of structured digital monitoring through GoGuardian on student engagement, assignment completion, and on-task behavior in 11th-grade U.S. History at Hillcrest School in Midland, Texas. In a one-to-one Chromebook learning environment, students rely heavily on digital resources including primary source databases, online textbooks, collaborative documents, and formative assessments delivered through Google Classroom. While these tools provide expanded instructional access and differentiation opportunities, they also create consistent opportunities for distraction, multitasking, and fragmented attention. The growing presence of digital distraction raises important questions about sustained focus and academic productivity. This study is designed to move beyond anecdotal observation and provide measurable evidence regarding whether intentional, clearly communicated, and consistently implemented digital monitoring practices improve student engagement and task completion in a secondary history classroom.

Over the past several years, I have observed that digital distraction is rarely a technology issue alone, it is often a systems issue. When expectations are inconsistent or monitoring practices are reactive rather than structured, student focus fluctuates. This study is grounded in the belief that digital accountability must be proactive, transparent, and aligned with instructional purpose. The goal is not to increase surveillance, but to create clarity around expectations so that students can develop stronger self-regulation skills within a structured learning environment.

This research also reflects a broader leadership perspective beyond a single classroom. As Hillcrest continues to expand digital learning initiatives, decisions regarding monitoring tools and infrastructure must be informed by data rather than assumption. If structured implementation produces measurable improvements in engagement and assignment completion, the findings can guide sustainable campus-wide practices. If results are mixed or reveal unintended consequences, those insights will be equally valuable in refining implementation strategies. In this way, the study supports not only classroom improvement but informed organizational decision-making.

Fundamental Research Question

The guiding research question for this study is: How does structured implementation of GoGuardian impact on-task behavior, assignment completion rates, and student perceptions of engagement in 11th-grade U.S. History? This question is significant because digital monitoring platforms are frequently implemented for classroom management purposes without systematic analysis of instructional outcomes. For campus-wide implementation to remain sustainable and aligned with instructional goals, measurable academic benefits must be identified. By focusing on both behavioral data and student perception data, this study aims to determine whether structured monitoring supports deeper engagement rather than simple compliance.

This question also intentionally balances quantitative and qualitative measures. Improved assignment completion rates alone do not necessarily indicate authentic engagement. By including student perception data, the study seeks to determine whether structured monitoring enhances focus and accountability while maintaining a positive classroom climate. This dual lens ensures that instructional integrity remains central to any future expansion of digital monitoring practices. (see my original outline here)

Summary of the Literature Review(see original lit review here)

Research consistently demonstrates that digital multitasking and off-task device use negatively affect academic performance and sustained attention (Kuznekoff & Titsworth, 2013; Sana et al., 2013). Studies indicate that students who divide attention between instructional material and unrelated digital content demonstrate reduced comprehension and retention. Additional research suggests that structured classroom technology policies and monitoring systems can reduce off-task behaviors when combined with clearly articulated expectations and feedback mechanisms (Akgün, 2020; Halpern et al., 2020). Furthermore, literature on formative assessment emphasizes that timely feedback and intentional instructional alignment enhance student accountability and metacognitive awareness. Collectively, the literature supports the need for systematic measurement when integrating monitoring technologies into secondary classrooms, particularly within content areas requiring sustained reading and analytical thinking such as U.S. History.

In addition, research on classroom engagement highlights the importance of transparency and consistency when implementing accountability systems. Monitoring alone does not improve outcomes; improvement occurs when expectations are clearly communicated and supported by timely feedback. These findings reinforce the need for a structured approach rather than sporadic enforcement. The literature ultimately supports the central premise of this study: that intentional design, aligned expectations, and measurable feedback systems are necessary to determine whether digital monitoring contributes meaningfully to student learning.

Research Design

This study employs a mixed-methods research design aligned with the Applied Digital Learning (ADL) program’s emphasis on significant learning environments, measurable impact, and sustainable organizational change. The quantitative component measures assignment completion rates and frequency of off-task incidents through structured documentation. The qualitative component captures student perception data through surveys and reflective prompts. The integration of both data sets allows for triangulation and strengthens the validity of conclusions.

This research is grounded in backward design principles by identifying desired outcomes, increased engagement and task completion, determining acceptable evidence, behavioral and perception data, and designing interventions aligned to those outcomes. It reflects COVA and significant learning environment principles by examining whether monitoring promotes ownership rather than compliance. The structured measurement approach aligns with 4DX lead measures by focusing on observable behaviors influencing lag outcomes.

Ethical considerations are embedded within the design. Students will be informed of monitoring procedures to ensure transparency. Data will remain confidential and reported in aggregate form. The study balances accountability with student agency by examining both behavioral trends and student perceptions of autonomy and stress.

Data Collection and Analysis

The study will span eight weeks to allow for a more comprehensive collection of baseline and implementation data.
Week 1–2: Baseline Phase. During this phase, normal instructional practices will continue without structured GoGuardian emphasis. Assignment completion rates will be recorded, and off-task browsing frequency will be documented during randomly selected class periods. A pre-study student perception survey using a five-point Likert scale will be administered at the end of Week 2.
Week 3: Implementation Preparation. Digital expectations will be clearly communicated to students. Classroom norms, monitoring procedures, and feedback protocols will be explicitly reviewed to ensure transparency.
Week 4–6: Structured Monitoring Phase. GoGuardian monitoring will be consistently implemented during designated instructional blocks. Teachers will provide immediate redirection when off-task behavior occurs. Assignment completion rates and incident logs will be recorded weekly.
Week 7: Continued Monitoring and Midpoint Reflection. Student informal feedback will be collected to assess emerging trends.
Week 8: Post-Implementation Data Collection. Final assignment completion data will be recorded. A post-study perception survey will be administered, and students will complete a short written reflection. Quantitative data will be analyzed using percentage comparisons and trend analysis. Qualitative data will be coded for recurring themes related to focus, stress, accountability, and engagement.

Sharing and Communicating Result

The results of this study will be shared intentionally and strategically so that the findings lead to real instructional improvement rather than simply becoming another report. My first step will be to present the data to Hillcrest administrative leadership in a formal session that includes quantitative trends, qualitative themes, and reflections on implementation. This presentation will not only highlight whether structured digital monitoring improved engagement, but also what the data reveals about instructional impact, classroom climate, and sustainability. Leadership needs measurable evidence in order to make informed decisions about infrastructure, policy, and long-term digital learning direction.

After meeting with administration, I will facilitate a structured professional development session with secondary faculty. This session will move beyond reporting numbers and instead model how teachers can interpret behavioral and engagement data within their own classrooms. Together, we will analyze assignment completion trends, off-task behavior frequency, and student perception shifts. The focus will be on identifying practical instructional adjustments. It will be important to clearly distinguish between compliance-based monitoring and engagement-focused implementation so that teachers understand the difference between managing devices and improving learning.

In addition to secondary faculty, I will provide a campus-wide professional development session for all instructional staff, including elementary and middle school teachers. While the data originates in an 11th grade history classroom, the principles are transferable. Teachers across grade levels will examine what worked, what required refinement, and what unintended consequences emerged. By openly sharing both successes and challenges, the goal is to build a culture of reflective digital practice across the entire school rather than isolating innovation to one department.

To ensure sustained access to the findings, I will also provide a written executive summary and create a visual data dashboard that can be shared digitally with staff and the technology integration team. This allows teachers to revisit the data as they make adjustments in their own classrooms. Ultimately, sharing results is not about promoting a tool. It is about creating transparency, building trust, and using measurable evidence to guide sustainable digital learning decisions at Hillcrest.

Final Reflection

When this action research process is complete, my reflection will go far beyond simply asking whether assignment completion increased or off-task incidents decreased. I will take time to examine what the data actually reveals about student engagement and instructional effectiveness. This includes reviewing the reliability of the instruments I used, the consistency of my implementation procedures, and whether the outcomes align with what I originally intended to improve. I want to be certain that any improvements represent meaningful academic growth rather than surface-level compliance.

A major part of this reflection will involve triangulating the data. I will compare assignment completion trends, incident log documentation, and student perception survey responses to identify patterns. If behavioral improvements are present, I will ask whether students also report increased focus and accountability. If there are discrepancies—for example, improved task completion paired with increased stress levels—I will examine those carefully before drawing conclusions. My goal is to understand the full picture rather than just celebrate positive numbers.

I will also reflect on my own implementation fidelity and leadership decisions. Did I communicate expectations clearly and consistently? Was feedback timely and constructive? Did monitoring practices support a positive classroom climate? I will evaluate whether the structure I created strengthened student self-regulation or unintentionally encouraged dependency on external monitoring. Potential unintended consequences such as increased anxiety or reduced intrinsic motivation must be acknowledged honestly.

Ultimately, this reflection will guide revisions to my innovation plan and inform any future campus-wide implementation. The purpose of reflection is continuous improvement. I want digital monitoring practices at Hillcrest to support sustainable engagement, accountability, and long-term student growth, not just short-term behavioral compliance. This process will help ensure that any expansion of the initiative remains aligned with instructional integrity and student-centered design.

References

Akgün, F. (2020). Effects of digital distraction on student academic performance. Journal of

Educational Technology Research, 58(4), 523–540.

https:/doi.org/10.1177/0047239520917272

Halpern, D. F., et al. (2020). Technology and classroom engagement: Managing attention in

digital learning environments. Educational Psychologist, 55(2), 84–99.

https:/doi.org/10.1080/00461520.2020.1726452

Kuznekoff, J. H., & Titsworth, S. (2013). The impact of mobile phone usage on students

learning. Communication Education, 62(3), 233–252.

https:/doi.org/10.1080/03634523.2013.767917

Sana, F., Weston, T., & Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning

for both users and nearby peers. Computers & Education, 62, 24–31.

https:/doi.org/10.1016/j.compedu.2012.10.003

Appendices

Appendix A

Student Perception Survey: Digital Monitoring & Engagement

11th Grade U.S. History – Hillcrest School

Purpose: This survey is designed to gather student feedback regarding digital monitoring practices and classroom engagement.

Confidentiality Statement: Responses will remain confidential and will be used solely for instructional research purposes.

Directions: Please select the response that best represents your experience.

Scale: 1 = Strongly Disagree | 2 = Disagree | 3 = Neutral | 4 = Agree | 5 = Strongly Agree

1. I remain focused on academic tasks during digital work time.

2. Structured digital monitoring helps me stay accountable for completing assignments.

3. Clear digital expectations improve my ability to complete assignments on time.

4. Monitoring practices reduce distractions in the classroom.

5. Digital monitoring helps me manage my time effectively.

6. Digital monitoring increases my stress level during class.

7. I understand why digital monitoring is being used in this class.

8. In your own words, describe how digital monitoring affects your focus and learning:

______________________________________________________________________

9. What suggestions do you have to improve digital engagement in this classroom?

_____________________________________________________________________

____________________________________________________________________

Appendix B

Assignment Completion Tracking Sheet

Teacher: __________________________ Course: 11th Grade U.S. History Week:____________

Student Name

Assignment Title

Date Assigned

Due Date

Date Submitted

On-Time (Y/N)

Completion %

Notes / Intervention

Appendix C

GoGuardian Off-Task Behavior Documentation/Incident Log Form

Teacher: __________________________ Class Period: ____________ Date: ____________

Time

Student Name

Type of Off-Task Activity
(Social Media, Gaming, Messaging, Streaming, etc.)

Duration (Minutes)

Immediate Intervention
(Redirection, Conference, Warning)

Follow-Up Action
(Parent Contact, Behavior Plan, None)

Appendix D

Weekly Data Summary & Instructional Reflection Form

Week: ____________ Unit Topic: _______________________________

Average Assignment Completion Percentage:

Total Number of Off-Task Incidents:

Average Incident Duration (Minutes):

Number of Students with Zero Incidents:

Number of Students with Three or More Incidents:

Patterns Noted in Student Behavior:

Instructional Adjustments Implemented This Week:

Impact of Adjustments (Evidence Observed):

Next Week Action Steps: