SkillForge AI · Assessments and learning insights
SkillForge AI: an online assessment platform for coding skills
SkillForge AI brings trainer-led assessments, Python coding practice and learning insights into one browser workspace. Trainers prepare and review assignments, share them with students and manage results. Students sign in with an authorized account to complete their assigned challenges and review released feedback.
SkillForge AI key facts
- Designed for
- Trainers and students working with assigned courses and assessments
- Access
- Authorized account required; students receive access through their trainer
- Coding workspace
- Python exercises with sample tests and custom input controls
- Assessment formats
- Choice questions, written answers, coding, debugging and project assignments
- Learning reports
- Assessment scores, completion, coding accuracy and performance over time
Create a coding assessment around what you teach
Connect assessment tasks to a course, topic and learning objective. Use a manual assignment when you already know the questions, or prepare an AI-generated draft for review.
Start with course material
Organize courses and topics, add class notes or upload study materials, and review the extracted analysis. The material workflow includes summaries, concepts, objectives and terminology to help prepare an assessment.
Mix question formats
Combine multiple-choice and multiple-select questions with short answers, descriptive responses, Python coding, debugging, output prediction, scenarios or project tasks. Choose formats that let students demonstrate the intended skill.
Set the assessment conditions
Configure difficulty, marks, duration, permitted attempts, passing score and availability. Review the questions and answer guidance before publishing, then assign access to selected or enrolled students.
An AI assessment generator with trainer review
AI helps prepare a first draft; the trainer remains responsible for the assessment that students receive.
- 01
Define the learning objective
Select the course and topic, optionally attach study material, and describe what students should demonstrate. Add instructions that keep the draft relevant to the lesson.
- 02
Generate and edit the draft
Choose the question types, question count and difficulty. Check every generated question, answer key, rubric and coding test case. Edit unclear wording or incorrect answers before publication.
- 03
Publish and manage access
Approve the assessment and assign it to students. The workflow separates preparing questions, collecting submissions, evaluating work and releasing results.
Python coding practice inside assigned assessments
Practice is connected to the tasks your trainer shares with you. Sign in, open an assigned assessment and read its requirements before starting an attempt.
Understand the problem
Read the prompt, constraints, input and output requirements, and any starter code. Coding and debugging tasks give you a way to apply concepts rather than only select an answer.
Check your code
Use the coding workspace to work on your Python answer. Sample-test and custom-input controls help you inspect output and errors while you develop a solution.
Submit and review
Save answers as you work and submit within the assessment conditions. Review scores and feedback once your trainer releases the results, then use that feedback to plan the next practice session.
You need an authorized account and an assigned assessment. SkillForge is a trainer-managed workspace; this product page does not provide an anonymous exercise library.
Review progress across assessments
The reporting interface brings assessment activity and evaluated results together so trainers and students can discuss progress using the same work.
Performance over time
Review evaluated assessment scores over time. Use the trend as a starting point for discussing which tasks have become easier and which concepts need another explanation.
Completion and coding accuracy
View completion and coding-accuracy measures alongside average scores. Look at the underlying assignments and feedback before deciding what a learner should practice next.
Controlled result release
Trainers review submissions and manage when results become available. Students can return to their submissions and released feedback to understand their work.
Plan an assessment platform for your training workflow
SkillForge AI is a Brolly product example. If your organization needs a similar learning workspace, start with the teaching process and the decisions each report needs to support.
Describe the people and learning journey
List who creates courses, approves questions, assigns students and releases results. Bring a sample lesson and assessment so the discussion starts with work your trainers and learners recognize.
Define the project requirements
Explain the coding languages, question formats, reporting, integrations and hosting arrangements you need. Additional capabilities are scoped for your project rather than assumed to be included in SkillForge.
SkillForge AI FAQ
What is SkillForge AI?
SkillForge AI is an online assessment platform from Brolly for trainer-led learning. It combines assignment creation, AI-assisted assessment drafts, Python coding exercises, submissions and progress reporting in a browser workspace.
How do I get access to SkillForge?
The application requires an authorized email and password. Students should ask their trainer to arrange access and share the relevant course or assessment. Contact Brolly if you want to discuss the platform for your training workflow.
Can I use SkillForge for Python coding practice?
Yes, through the coding challenges in assessments assigned to your account. The workspace includes a Python editor, sample-test controls and custom input. Available exercises depend on the assignments your trainer has shared.
How does the AI assessment generator work?
A trainer selects a course and topic, adds learning objectives or study material, and chooses assessment settings. AI prepares a draft. The trainer reviews and edits the questions, answer guidance and test cases before publishing.
Which question types can trainers use?
The assignment editor includes multiple-choice, multiple-select, fill-in-the-blank, short-answer and descriptive questions, along with Python coding, debugging, output prediction, scenario, GenAI practical and project assignments.
When can students see their scores and feedback?
Students can review results after evaluation and trainer release. The application separates submission from result publication, so submitting an answer does not mean feedback is immediately available.
Is SkillForge a free, open coding-practice website?
The public application opens a sign-in screen and requires authorized access. This page does not advertise free access or a self-service subscription. Ask your trainer about student access, or contact Brolly about availability for your organization.
Can I discuss a similar assessment platform with Brolly?
Yes. Share your learner roles, courses, question formats, coding requirements and reporting needs. Brolly can discuss a web application project with the scope, integrations and delivery requirements agreed for your organization.
Open your SkillForge AI workspace
Already have access? Sign in with your authorized email and password. New students should ask their trainer to arrange access. For a walkthrough or a custom learning-platform project, contact Brolly using the project enquiry link above.
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