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Process Feedback: Learning Process Visualization Tool for the AI Era
Created by
- ContenjooC
Created at
Core Features Summary
• Free Educational Platform: Completely free tool for students and teachers with no account creation required
• Metacognitive Development Specialist: Digital implementation of reflection-based learning theory proven since the 1970s
• Safe AI Integration: Supports AI usage focused on explanations and feedback rather than direct answer generation
• Privacy First: No student behavioral data collection during work, local storage by default
• Dual Reflection Support: Provides both reflection-on-action and reflection-in-action
• Perfect Google Docs Support: Chrome/Firefox extension allows retroactive analysis of existing documents
• Global Usage: Verified educational tool used by 25,000+ people across 70 countries
• Korean Language Support: Automatic support for most languages (special characters configurable in settings)
• Metacognitive Development Specialist: Digital implementation of reflection-based learning theory proven since the 1970s
• Safe AI Integration: Supports AI usage focused on explanations and feedback rather than direct answer generation
• Privacy First: No student behavioral data collection during work, local storage by default
• Dual Reflection Support: Provides both reflection-on-action and reflection-in-action
• Perfect Google Docs Support: Chrome/Firefox extension allows retroactive analysis of existing documents
• Global Usage: Verified educational tool used by 25,000+ people across 70 countries
• Korean Language Support: Automatic support for most languages (special characters configurable in settings)
Complete Process Feedback Utilization Guide
🧠 Core Philosophy: "Every Student's Work Has a Story"
Metacognitive-Centered Approach
Process Feedback's Ultimate Goals:
├── Not Academic Integrity monitoring
├── Not AI usage suppression
├── Providing writing process reflection data to students and teachers
└── Transition from "learning through doing" to "learning through reflecting on doing"
Educational Foundation (Proven since 1970s):
├── Process awareness → Critical thinking improvement
├── Metacognitive skill development → Self-awareness enhancement
├── Thinking about learning methods → Planning, monitoring, growth capability🚀 Step 1: Tool Installation and Setup
Three Approach Methods
1️⃣ Google Docs Extension
├── Access Chrome Web Store or Firefox Add-ons
├── Install "Process Feedback for Google Docs"
├── No login/account creation required
└── Retroactive analysis of existing documents possible
2️⃣ Independent Writing Editor
├── Go to processfeedback.org → Click "Start Writing"
├── Immediately usable online editor
├── Real-time process data collection
└── Built-in safe AI integration features
3️⃣ Coding Editor
├── Go to processfeedback.org → Click "Start Coding"
├── Programming learning process tracking
├── AI explanations and feedback (no direct answer generation)
└── Particularly effective for beginners and female learners (IEEE research results)📝 Step 2: Safe AI Integration Learning
Process Feedback's AI Safety Features
Differences from Existing AI Tools:
├── Prohibition of direct solution generation
├── Explanation and feedback-centered support
├── Learning process transparency assurance
└── AI utilization only within guidelines
Specific AI Support Methods:
├── Writing: Grammar explanations, structure feedback
├── Coding: Error explanations, concept clarifications
├── Process tracking: Record AI usage timing and content
└── Reflection induction: Self-assessment of AI dependencyResearch-Based Effectiveness (IEEE Frontiers in Education Publication)
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Greater learning effects for novice learners
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Particularly useful for traditionally underrepresented groups (women, etc.)
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Guided AI support leads to autonomous learning
🔍 Step 3: Dual Reflection System Utilization
Reflection-on-Action (Post-Action Reflection)
Process report analysis after work completion:
├── Identify typing patterns and productive time zones
├── Analyze correlation between rest patterns and concentration
├── Check AI usage frequency and dependency
├── Confirm external resource utilization through copy-paste events
└── Evaluate overall work process efficiency
Specific Reflection Prompts:
"When were you most productive?"
"Which part took the longest to think through?"
"Were AI tools actually helpful?"
"How would you approach this differently next time?"Reflection-in-Action (In-Action Reflection)
Real-time self-monitoring during work:
├── Current progress awareness
├── Strategy adjustment when stuck
├── Conscious choice of AI tool usage timing
└── Real-time work method improvement
Real-time Reflection Training:
"Is what I'm doing right now effective?"
"Are there other approaches?"
"Why am I stuck at this point?"
"Do I need AI help right now?"📊 Step 4: Process Report Generation and Analysis
Report Type-Specific Usage
Quick Report (Quick check)
├── Basic metadata: sentence count, word count
├── Total typing time vs total task duration distinction
├── Overall flow understanding through playback function
└── Major copy-paste event confirmation
Full Report (In-depth analysis)
├── Active Typing Sessions: Specific data like "38 seconds of active typing"
├── Collaborator contributions: Percentage display for multiple authors
├── Copy-Paste Events: External resource usage tracking with 90% similarity threshold
├── Calendar View: Daily work activity intensity (darker = higher activity)
├── Bubble Chart: Text addition (green)/deletion (red) visualization
├── Typing Speed: Deadline pressure situations through per-minute character changes
├── Paragraph Location: Time-based editing position tracking
└── Word Origin: External copying detection through word first appearance timingData Interpretation Guide
Productivity Pattern Analysis:
├── Active typing time = Actual concentration time
├── Speed changes after long breaks = Concentration recovery patterns
├── Paragraph-specific editing time = Difficulty-based work distribution
└── Final stage speed increase = Deadline pressure situations
AI Usage Pattern Analysis:
├── Copy-paste timing = AI tool utilization periods
├── Modification degree after pasting = AI output processing level
├── External resource integration methods = Information synthesis ability
└── AI dependency vs self-writing ratio👥 Step 5: Educator Utilization Strategies
Learner Analysis and Support
Objective Data-Based Student Identification:
├── Fast completion students: Process efficiency vs hastiness distinction
├── Struggling students: Specific difficulty point identification
├── AI over-dependent students: Need for autonomous learning ability development
├── Plagiarism suspicion situations: Objective verification through process data
└── Collaborative projects: Quantitative measurement of individual contributions
Differentiated Approach from Existing Feedback Tools:
Process Feedback: "How did the student learn?"
Other tools (e.g., general feedback tools): "What needs improvement in the output?"Class Integration Strategies
Process-Centered Assignment Design:
├── Mandatory process report attachment with assignment submission
├── Separate "learning process reflection essay" assignments
├── AI usage guideline establishment and compliance verification system
├── Process sharing and comparison activities with peer learners
└── Individual consultation materials for process improvement
Teaching Method Improvement:
├── Observation of students' actual learning patterns
├── Identification of effective/ineffective learning strategies
├── Individual customized learning guidance direction setting
└── Development of new educational methodologies for the AI era🔒 Step 6: Privacy-First Principles
Data Collection and Storage Policies
No Data Collection During Work:
├── No behavioral data collection while students work in editor
├── No real-time tracking of keyboard input, mouse movements
├── Complete learner privacy protection
└── Stress-free learning environment provision
Optional Data Storage:
├── Server storage only when sharing reports
├── Online storage only with explicit student choice
├── Minimal essential data collection only (author info + edit history)
└── Data deletion possible at any time
Account-Free System:
├── Complete elimination of registration, login processes
├── No email, personal information collection
├── Immediate accessibility
└── Minimal IT policy burden for educational institutions🎯 Step 7: Reflexive Practitioner Development
Reflexive Practice Beyond Simple Reflection
Reflexivity Concept (1970s Educational Theory):
├── Stage where reflection becomes part of identity
├── Ability to naturally adjust, question, improve in real-time
├── State of reflecting with intrinsic motivation rather than external demands
└── Foundation competency as lifelong learners
Process Feedback's Reflexivity Support:
├── Habitualization of reflection through continuous process data provision
├── High-quality reflection induction through clear reflection prompts
├── Transparency of all learning behaviors including AI usage
└── Self-directed learning improvement ability cultivationSpecific Reflection Prompt System
Process Analysis Prompts:
"What did you discover about your learning style from this data?"
"What was your most productive time and why?"
"Did actual learning occur in the parts where you used AI tools?"
Future-Oriented Prompts:
"What would you approach differently in the next assignment?"
"What aspects of your current learning style do you want to maintain?"
"What would you like to improve in your collaboration with AI?"⚡ Step 8: Problem Solving and Optimization
Technical Limitations and Solutions
Large Document Processing (100K+ changes):
├── Disable "High Details" in Options
├── Speed improvement by unchecking "Text Styling"
├── Accept text styling imperfections
└── Document size management through step-by-step work
Extension Installation Issues:
├── Chrome login status verification required
├── Approval request when restricted by institutional IT policies
├── Check "Explore Process" button after Google Docs page refresh (F5)
└── Check for conflicts with other extensions
Microsoft Word Not Supported:
├── Currently supports only Google Docs and proprietary editor
├── Microsoft Word extension under development
├── Transitionally transfer documents to Google Docs for analysis
└── Word support planned in future updates🌟 Step 9: Actual Success Cases and Educational Value
Verified Educational Effect Cases
Saint Louis University Plagiarism Verification Case:
├── Student suspected of plagiarism situation occurred
├── Process Feedback analysis proved student wrote directly
├── Process-based verification impossible with completion-based tools
└── Objective evidence provision for fair evaluation
Global Educator Reviews:
"Made evaluation much easier"
"Gained insights by seeing students' writing efforts and revision processes"
"Helpful to see students' cognitive and psychological challenges"
"Simple and intuitive to use"Connection with Anna Mills Educational Philosophy
Process Feedback is not just an educational tool but can be a tool that becomes "the opposite of teaching." It supports the paradigm shift from teacher-centered to learner-centered education by promoting autonomous learning where students discover, reflect, and improve on their own.
Process Feedback is not just an educational tool but can be a tool that becomes "the opposite of teaching." It supports the paradigm shift from teacher-centered to learner-centered education by promoting autonomous learning where students discover, reflect, and improve on their own.
🔄 Step 10: Sustainable Educational Ecosystem Construction
Permanent Free Service Promise
Realization of Educational Publicness:
├── Lifetime free use for both students and teachers
├── Pure educational purpose operation without ads or paid plans
├── Service stability through sustainable funding
└── Contributing to global educational gap resolution
Continuous Feature Development:
├── Microsoft Word extension under development
├── Integration with various learning management systems (LMS)
├── Enhanced large data processing capability for educational research
└── Feature improvements based on user feedbackAcademic Research-Based Reliability
Required Citation:
Adhikari, Badri; "Thinking Beyond Chatbots' Threat to Education:
Visualizations to Elucidate the Writing or Coding Process";
Education Sciences; 2023.
Research Field Applications:
├── New methodology presentation for educational technology research
├── Leading case in AI and education convergence field
├── Empirical tool for metacognitive education research
└── Learning Process Analytics development🎯 Core Value of Process Feedback Adoption
Fundamental Change in Existing Educational Assessment Systems
Process Feedback enables complete transition from product-centered to process-centered evaluation. Unlike tools that provide feedback on completed writing, it simultaneously improves learner reflection and educator understanding by turning the learning process itself into data.
Process Feedback enables complete transition from product-centered to process-centered evaluation. Unlike tools that provide feedback on completed writing, it simultaneously improves learner reflection and educator understanding by turning the learning process itself into data.
New Paradigm for AI Era Education
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Transparency: Making AI usage transparent and subject to reflection rather than hiding it
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Autonomy: Developing intrinsic reflection capabilities rather than external surveillance
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Equity: Providing equal reflection opportunities to all learners
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Sustainability: Creating continuous learning improvement culture rather than one-time feedback
Specific Educational Outcomes
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Metacognitive Ability Improvement: Objectively recognizing and improving one's learning methods
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AI Literacy Enhancement: Building healthy collaborative relationships with AI tools
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Self-Directed Learning Strengthening: Learning improvement through intrinsic motivation rather than external instructions
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Educational Assessment Fairness: Objective and transparent evaluation through process data
Process Feedback is more than a simple analysis tool - it's a systematic educational platform that supports learners in discovering and improving their own learning stories. Like the motto "Every Student's Work Has a Story," it's an essential educational tool for the AI era that respects and develops every learner's unique learning process.