01
Data collection
Capture observations using virtual or supported physical sensors, label specimens and develop a scientific dataset.
Observe · Capture · LabelInnovation / PHL Classroom
Where scientific curiosity becomes discovery.
Bring environmental science and applied data intelligence into the classroom. Investigate real-world questions, collect evidence, develop algorithms and learn to interpret the results together.
The scientific classroom process
Collect evidence. Build intelligence. Discover insights.
PHL Classroom connects scientific investigation with data-driven learning, from the first observation to testing an algorithm.
02
Algorithm development
Organise labelled evidence, configure training and develop classification or regression models.
Configure · Train · Evaluate03
Predictions & inference
Test trained models against new observations, interpret their outputs and consider uncertainty.
Predict · Interpret · Refine
↻ Interpret results · Refine the investigation · Repeat
Inside the Classroom Engine
See the science in action.
Explore genuine Classroom Engine screens used for collecting observations, developing algorithms and organising learning.
01 / Collect
Guided scientific capture
Observe signals and collect labelled specimen data.
02 / Develop
Train an algorithm
Build models from scientific observations.
03 / Predict
Test predictions with live inference
Apply trained models to new observations and explore predictions, confidence and scientific uncertainty.
Virtual Laboratory
Your classroom.
Real workflows
Simulated observations
No hardware needed
Your classroom.
Your laboratory.
No hardware required.
Experience PHL Classroom using virtual sensors. Collect simulated observations, label specimens, develop algorithms and explore inference before investing in physical sensing equipment.
Explore scientific processes used with supported sensors.
Investigate changing environmental sensor data.
Begin with the available Education Trial capabilities.
Trial capabilities and specimen limits apply. Simulated measurements are not physical observations.
PHL Classroom Engine Virtual Lab — simulated environmental sensor observations.
Choose a scenario
Explore supported simulated environmental conditions.
Collect simulated data
Observe sensor signals through the capture workflow.
Label specimens
Organise observations using scientific specimen definitions.
Develop and test
Explore training and inference where entitled.
Define an investigation.
Select a simulated environment.
Capture simulated readings.
Build labelled observations.
Train models where available.
Evaluate predictions and evidence.
Beyond the experiment
One classroom. Connected learning.
Bring educators and students together through organised groups, scientific communication, structured activities and connected learning experiences.
Classroom organisation
Organise students. Build teams. Investigate together.
Create digital classrooms, organise student groups and bring collaborative scientific investigations into one connected learning environment.
Classroom communication
Keep scientific conversations connected.
Support classroom-wide discussions and group conversations so educators and students can exchange ideas, discuss observations and collaborate around their investigations.
Private communication
Make room for focused conversations.
Use authorised direct messaging within the Classroom environment, with access governed by user roles, membership and applicable permissions.
Teaching support
Support the work. Understand the progress.
Connect scientific learning with structured tasks, assistance and monitoring tools that support the organisation of classroom investigations.
Connected collaboration
Bring your classroom together.
Explore integrated meeting capabilities for eligible licensed education environments, bringing communication and coordinated learning into the wider Classroom experience.
Meetings are subject to product entitlement and are not included in the Education Trial.
Feature availability depends on the institution's package, entitlement and applicable permissions.
Intelligence throughout the investigation
Your scientific companion. From question to discovery.
Explore how PHL Classroom supports scientific projects, specimen investigations, collection assessment and evidence-based reasoning. Assistance supports student judgement rather than replacing it.
Project guidance
Build a stronger scientific investigation.
Use structured project evidence and readiness guidance to explore investigation goals, identify gaps and develop meaningful scientific reports.
Project evidence
- Project definition and investigation context
- Structured scientific report sections
- Missing-evidence guidance and recommendations
Specimen context
Understand the evidence behind each specimen.
Bring specimen information and collected observations into the wider project context. Explore evidence completeness and questions that may warrant further investigation.
Specimen evidence
- Labelled specimen and project context
- Captured observations and available metadata
- Evidence gaps for further student review
Collection assessment
Collect evidence. Evaluate its suitability.
Assess capture information and measurement-quality indicators, including completeness and stability. Receive an assessment status, confidence, reasons and recommendations to inform whether observations should be used, reviewed or collected again.
Capture assessment
- Duration, sample count and missing observations
- Stability indicators and available capture context
- Assessment status, confidence and recommendations
Evidence and reasoning
Move from observations to understanding.
Explore interpretation readiness, algorithm and inference evidence, limitations and possible next steps through structured scientific reporting assistance.
Scientific reasoning
- Algorithm and inference evidence
- Interpretation readiness and limitations
- Recommendations for further investigation
AI assistance is subject to applicable product entitlements and permissions. Assessments provide guidance, not independent scientific validation.
One connected learning environment
Teach science by doing science.
PHL Classroom connects teacher-led activities, student investigations, environmental observations and data analysis. Scientific evidence becomes something students can question, explore and use to develop their own understanding.
Design the investigation.
Create digital classrooms, organise student groups, define learning activities and guide investigations with structured tasks and outcomes.
Discover through evidence.
Explore specimens, collect labelled observations, investigate patterns, test predictions and communicate findings within the learning experience.
For educators
Organise investigations and classroom activity
Support structured scientific learning through classroom scheduling, planned activities and coordinated investigations.
The scientific learning journey
From investigation to understanding.
A connected process that brings experimental science and computational thinking into the same learning journey.
Investigate
Frame a scientific question and plan an investigation.
Collect
Gather and label observations from specimens and environments.
Develop algorithms
Use collected evidence to train and evaluate models.
Predict
Apply algorithms to new observations and examine inference results.
Interpret
Examine patterns, accuracy and uncertainty in the evidence.
Collaborate
Discuss results, share findings and refine scientific understanding.
Virtual and physical investigations
Explore first. Experiment further.
The virtual learning experience allows students to work with simulated sensor observations and explore data-driven investigation without first requiring physical hardware. Supported physical sensing extends the experience into practical specimen and environmental measurements.
Learn without a hardware prerequisite.
Explore simulated observations, specimen labelling, algorithm development and inference within the capabilities available to the account.
Connect learning to real environments.
Collect supported measurements from physical sensors, investigate specimens and compare observations across experimental conditions.
Available capabilities, usage limits and hardware access depend on the selected package or trial entitlement.
Learning across environments
Real questions. Meaningful evidence.
Investigations can explore soil, controlled environments, specimen headspace and other supported experimental contexts. Students learn to distinguish observations from conclusions and to evaluate what their data can and cannot demonstrate.
Environmental science
Explore changing conditions and compare experimental samples.
Data literacy
Understand labelled datasets, visualisations and evidence quality.
Applied AI
Train, test and critically evaluate predictive algorithms.
For schools, colleges and universities
A platform for inquiry-led learning.
PHL Classroom brings experimental investigation and computational analysis into a coherent educational workflow. Educators can structure activities while students engage with evidence, collaboration and scientific reasoning.
Begin your Classroom journey
Bring scientific discovery into your classroom.
Explore the available Classroom packages and trial options through the Palmer-Hunter Labs platform.