📱 A New Generation of Learners

Today’s students are digital‑first learners. They grew up with smartphones, instant answers, and interactive content. Their brains are wired for:

• Shorter bursts of information

• Visual and interactive learning

• Immediate feedback loops

• Hands‑on, real‑world application

Technology has expanded what students can access — but it has also changed how they focus, process information, and stay motivated.

Technology gives students incredible tools, but it also creates challenges:

• Overwhelm from too much information

• Difficulty sustaining attention

• Reliance on quick answers instead of deep thinking

• Less face‑to‑face connection and emotional support

Teachers see this every day. Students are capable — but they need human guidance to navigate a world full of digital noise.

This is where GPH mentors and tutors become essential.

Students need adults who can help them:

• Slow down and make sense of what they’re learning

• Build confidence in their own thinking

• Strengthen focus and persistence

• Practice communication and problem‑solving

• Connect learning to real life

Technology can deliver content.

Mentors deliver connection.

And connection is what stabilizes a child’s learning, behavior, and belief in themselves.

When students have consistent mentors in the classroom, they:

• Engage more deeply with lessons

• Ask more questions

• Stay on task longer

• Show up to school more consistently

• Build the resilience needed for a tech‑driven world

This is why GPH’s model works — it meets students where they are today, not where learning used to be.

Why Stability and In‑School Support Matter

Across Ohio, chronic absenteeism has reached crisis levels — and it is the strongest predictor of dropping out. Students who miss 10% or more of the school year fall behind academically, disengage socially, and are far more likely to leave school before graduation. Dayton Public Schools is among the districts most affected.

Below is a snapshot of districts with extremely high chronic absenteeism (40%–80%+), showing just how urgent the need is for consistent, in‑school support.

1. Mentoring programs improve attendance — even small gains matter.

A national review of youth mentoring programs found that mentoring has “small‑to‑moderate” but meaningful positive effects on school attendance. Because mentoring is widely used, even small improvements create large population‑level gains in attendance.

2. School‑based mentoring reduces skipping and improves daily attendance.

Evidence‑based school‑based mentoring (SBM) programs show that students with mentors are less likely to skip school and more likely to maintain regular attendance.

3. A real‑world study showed mentoring directly reduced chronic absenteeism.

In an inner‑city elementary school, 84 chronically absent students were paired with caring adults. After the mentoring program, attendance increased and absenteeism decreased, showing a direct link between mentorship and improved attendance.

4. The Check & Connect mentoring model significantly reduced absences.

A large randomized controlled trial found that Check & Connect — a structured mentoring and monitoring program — reduced absences by 4.2 days (22.9%) for students in grades 5–7.

This is one of the strongest pieces of evidence that consistent adult support improves attendance. 

Across studies, the same pattern appears:

Students show up more when they have a consistent adult who notices, checks in, and cares.

Research highlights that the most effective mentoring includes:

• High‑quality relationships built on trust

• Skill‑building support (organization, stress coping, goal‑setting)

• Regular check‑ins that help students stay accountable

• Structured, school‑based routines that reinforce attendance expectations

These elements match exactly what GPH mentors provide.

This data makes one thing clear:

Dayton students need consistent, in‑school support more than ever.

High absenteeism, instability, and teacher turnover create conditions where students fall behind academically and emotionally. GPH directly addresses these challenges by providing:

• Classroom‑embedded mentors and tutors

• Weekly consistency students can rely on

• Academic reinforcement tied to school goals

• Strength‑based matching that keeps students engaged

• College‑student mentors who stay long enough to build trust

GPH is designed for the exact conditions that put students at risk of dropping out.

1. Reliable, School‑Based Support Inside Classrooms

Most existing programs operate outside the school day or through occasional school visits.

GPH places mentors and tutors directly inside Dayton Public School classrooms, providing predictable, weekly support that teachers and students can rely on.

2. Mentorship + Academic Tutoring Combined

GPH integrates mentoring with academic goals, helping students improve attendance, behavior, literacy, and overall confidence.

3. College‑Student Mentors With a Pathway to Employment

No current county program uses college students as a structured workforce pipeline.

4. Strength‑Based Matching

GPH matches mentors and students based on shared traits, interests, and lived experiences, increasing engagement and long‑term success.

5. Consistency That Builds Trust

1. Mentoring Collaborative of Montgomery County (MCMC)

• Provides training and certification for mentors

• Supports many partner agencies

2. Big Brothers Big Sisters – Miami Valley

• One‑to‑one community and school‑based mentoring

• Excellent relationship‑building model

3. Montgomery County, Ohio College Promise

• Long‑term mentoring + scholarship support

• Focuses on high‑achieving, economically disadvantaged students

4. Leadership Academies (High School)

• Leadership development and exposure to community leaders

• Not a mentoring‑tutoring hybrid

• Not consistent classroom support

• Not college‑student mentors

5. CCMEP Youth Workforce Program

• Offers case management, coaching, and some mentoring

• Not school‑based

• Not focused on K–12 academic outcomes

• Not a structured mentor matching model