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12 changes: 11 additions & 1 deletion 0_domain_study/README.md
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# Domain Research
# README

This folder contains documentation and research for our Milestone 1 domain study:

* [`problem_statement.md`](problem_statement.md):
Identifies the core issue of student engagement in online learning.
* [`systems_thinking_analysis.md`](systems_thinking_analysis.md): Applies
systems thinking to reveal root causes.
* [`research_question.md`](research_question.md): Defines a targeted,
actionable research question for our project.
* [`background_review`](background_review): Reviews existing knowledge and technologies.
9 changes: 9 additions & 0 deletions 0_domain_study/background_review/README.md
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# Background Review Overview

This section provides a comprehensive review of the educational domain related
to our problem: student engagement in online learning. Each file below addresses
a critical area that supports our problem framing and system understanding.

- [`intervention_strategies_to_enhance_student_engagement.md`](intervention_strategies_to_enhance_student_engagement.md)
- [`impact_of_disengagement.md`](impact_of_disengagement.md)
- [`data_privacy_impact.md`](data_privacy_impact.md)
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1. [Borup, J., West, R. E., Thomas, R., & Graham, C. R. (2015). *The
adolescent community of engagement framework*](http://www.editlib.org/p/112371)
2. [Castillo-Montoya, M. (2016). *Deepening understanding of prior knowledge.*
](https://doi.org/10.1080/13562517.2016.1273208)
2. [Castillo-Montoya, M. (2016). *Deepening understanding of
prior knowledge.*](https://doi.org/10.1080/13562517.2016.1273208)
3. [Darby, F., & Lang, J. M. (2019). *Small Teaching Online: Applying Learning
Science in Online
Classes*](https://www.wiley.com/en-us/Small+Teaching+Online%3A+Applying+Learning+Science+in+Online+Classes-p-9781119619093)
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# Addressing Student Engagement in Online Learning

## Problem Identification

In the era of increasingly prevalent online learning, maintaining student
engagement has become a significant challenge. Many students, particularly
in self-paced or asynchronous online courses, struggle with motivation,
timely completion of assignments, and active participation. This leads to
higher dropout rates and reduced learning outcomes.

From a personal perspective, many students report feeling isolated and
unfocused during remote learning. This disengagement often shows up as
procrastination, minimal interaction with course materials or peers, and
ultimately, failure to achieve educational goals.
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# Summary of the Group's Understanding of the Problem Domain (Applying Systems Thinking)

Applying systems thinking to student engagement in online learning reveals a
complex interplay of factors, not merely individual student shortcomings. The
problem of disengagement is an emergent property of the online learning system,
influenced by multiple interconnected elements:

## Events

Observable instances of disengagement, such as:

- Missed deadlines.
- Low forum participation.
- Minimal login activity.
- Poor performance on assessments.

## Patterns/Trends

Over time, these events form patterns, such as:

- A consistent decline in activity after the initial weeks of a course.
- Higher disengagement in certain types of courses (e.g., self-paced vs. instructor-led).
- Specific demographic groups showing lower engagement.

## Underlying Structures

These patterns are driven by structural elements within the online learning ecosystem:

### Course Design

- Lack of interactive elements.
- Monotonous content delivery.
- Insufficient opportunities for peer collaboration.
- Overwhelming workload.

### Platform Limitations

- User interface complexities.
- Poor accessibility.
- Inadequate technical support that frustrates students.

### Instructor Pedagogy

- One-way information delivery.
- Infrequent feedback.
- Lack of personalized attention from instructors.

### Institutional Policies

- Enrollment caps.
- Grading policies.
- Support services that do not adequately address the unique needs of online learners.

### Socio-economic Factors

- Students balancing work, family, or other commitments.
- Access to reliable internet and suitable learning environments.
- Financial pressures.

## Mental Models

The prevailing beliefs and assumptions held by stakeholders:

### Students

- Beliefs about self-discipline.
- The value of online degrees.
- The perception that online learning is inherently easier or less demanding.

### Instructors

- Assumptions about student autonomy.
- The effectiveness of traditional teaching methods in an online setting.
- The challenges of monitoring engagement remotely.

### Administrators

- Focus on enrollment numbers over retention rates.
- Lack of investment in robust online learning support systems.

## Conclusion

Understanding these interconnected layers through systems thinking allows the
team to move beyond simply observing disengagement to identifying leverage
points for intervention. For instance, addressing a lack of interactive course
design (structure) might be more impactful than solely focusing on individual
student motivation (event/pattern).
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