Skip to content
For faculty

See where students struggle while they're learning.

ScriptOnX keeps students working through errors instead of around them. The tools for setting work, controlling AI help and seeing the class are planned, and being designed with programming faculty.

Request a DemoTake the product tour
The programming lab

Four problems every lab knows. And where ScriptOnX stands on each.

  • The first labs go on installing compilers and fixing PATH settings.

    Learning environments check each course's tools on every computer. One-click installs are in testing.

    Beta

  • Students get stuck on an error and wait, or give up, without asking.

    Explain Error answers the moment a run fails, beside the code.

    Beta

  • Generic AI tools write the answer, and the learning is skipped.

    AI help that explains first, with fixes the student must review and apply.

    Beta

  • You find out who struggled when the assignment is marked.

    Class-wide signals about who's stuck and on which errors, during the lab.

    Planned
In the beta todayBeta

What your students can use today. In the desktop beta.

ScriptOnX workspace: a Python program with an off-by-one loop, the IndexError it raised in the output panel, and the AI Tutor panel explaining that list indices run from 0 to len(list) − 1.
Product screenshot · BetaA failed run and its explanation, side by side.

  • Real programs

    Students run code on real compilers and interpreters, and read real error messages.

  • Explanations, not answers

    Explain Error says what went wrong and why, and points to the concept behind it.

  • Reviewed fixes

    Suggested fixes appear beside the student's code. Nothing changes until they apply it.

  • Screenshot from the desktop beta, using demo data.
For faculty, next

Planned tools. Clearly labelled, and shaped with faculty.

None of these are in the beta yet. If they matter to your lab, a demo is the best place to tell us how you'd use them.

Planned

Assignments

Faculty-set coding assignments with deadlines, attempts and submissions.

Planned

Practice library

Exercises with test cases across the curriculum.

Planned

Assistance levels

Faculty-set levels from Explain to Solve. The beta offers individual AI actions instead.

Planned

Learning analytics

Class-wide visibility into where students struggle.

Planned

Faculty tools

Exercises, test cases, AI controls and review.

Planned

Accounts & sign-in

Student, faculty and institution accounts. The beta uses a local learner profile.

Assistance levelsPlanned

AI shouldn't do your homework. It should help you understand it.

Five levels, from one clue to a full solution, with instructors choosing which are allowed. Explain, Review and Solve exist in the beta as separate AI actions. Hint, Guide and instructor controls are planned. The settings panel is a concept preview.

Student → “Give me one clue.”

scores = [72, 88, 95]for i in range(4):    print(scores[i])
ScriptOnX AI · Hint

Compare how far the loop counts with how many items the list holds.

Planned

Status today: Not a separate level yet. Learners can ask for a hint in the AI Tutor's follow-up box.

What Hint reveals

  1. Diagnosis
  2. A clue
  3. Reasoning
  4. Approach review
  5. Working code

Instructor settings

Lab 4 · Arrays & loops

Planned
  • Explain
  • Hint
  • Guide
  • Review
  • Solve

Concept preview. Toggle a level, then pick it on the left.

Learning analytics

CS101 · Lab 4 · 40 students

Concept · demo data

Struggle map — one square per student

  • Struggling with Loops18/40
  • Struggling with Arrays12/40
  • Struggling with Strings8/40
  • Struggling with Functions5/40
82%

Exercise completion

Average attempts 2.8

Most common error

IndexError

  • Index out of bounds38%
  • Off-by-one logic24%
  • Type mismatch17%
  • Missing return9%

Planned A concept of planned class analytics, with invented figures. Not in the beta.

Shape ScriptOnX for your lab.

Request a DemoTake the product tour