DraftTrace: A Multi-View Analytics Environment for AI-Integrated Writing

Divyansh Chandarana; Sandipan De; Vivek Gupta

cs.CLSep 29, 2026

DraftTrace: A Multi-View Analytics Environment for AI-Integrated Writing

Authors: Divyansh Chandarana, Sandipan De, Vivek Gupta

Organizations: Arizona State University

Abstract

Generative AI has changed how students produce writing assignments. The final artifact is no longer sufficient to understand the process through which it was produced. We introduce DraftTrace, a writing environment that jointly captures three complementary views of writing: the final product, the writing process and interactions with an integrated AI-assistant. DraftTrace reconstructs how a document develops over time and organizes these signals into submission, longitudinal, and class-level analytics for instructors. We deployed DraftTrace in a graduate NLP course with 81 students and compared their sessions with LLM-generated responses entered by automated tools and with copy-typed responses. While product measures distinguish differences in text formulation, process measures distinguish differences in how text is entered. Considering both views together helps characterize cases such as copy-typing. Interaction traces show that students use the assistant differently across stages of writing: to clarify the question at an early stage and to verify answers at a later stage. A preliminary instructor survey highlights the importance of multi-view writing analytics and their interpretability.

Figures & tables

System	Proc.	Prod.	Interact.	Assist.	Config.	Playback	Analytics	Editor
DraftTrace	✓	✓	✓	✓	✓	✓	✓	✓
Turnitin Clarity	✓	✓	–	✓	–	✓	✓	✓
Documark	✓	✓	–	–	–	✓	✓	✓
Grammarly Authorship	✓	✓	–	–	–	✓	✓	✓
Draftback	✓	–	–	–	–	✓	✓	✓
GPTZero	–	✓	–	–	–	–	–	–

Table 1: Comparison of capabilities across representative writing platforms. Proc.: process view; Prod.: product view; Interact.: interaction view; Assist.: integrated AI assistant; Config.: configurable AI support; Editor: integrated writing environment.

Figure 1: Overview of the DraftTrace system architecture for capturing, reconstructing, and analyzing student writing and AI interactions.

Figure 2: Instructor interface for creating an assignment.

Figure 3: Writing-process view summarizing measures captured during an individual writing session.

Figure 4: Activity timeline showing the chronological development of an individual writing session.

Figure 5: Writing environment for completing the assigned task.

Product view
	Class.	Auto.	Copy
	( $n{=}81$ )	( $n{=}81$ )	( $n{=}11$ )
Flesch Reading Ease	52.8	38.4	39.9
Mean word length (chars)	4.67	5.18	5.40
Mean sentence length (chars)	130.50	163.17	147.50
Process view

Table 2: Median values per setting. Class.: classroom writing; Auto.: automated writing; Copy: copy-typing.

	Q1	Q2	Q3	Q4
Prompts	11	17	21	26
Students’ first prompt	10	5	7	10

Table 3: Assistant use by session quarter for the 32 students who used the integrated assistant.

Appendix figures & tables1 asset

Supplementary material from the paper’s appendix.

Appendix

Panel of Figure 7 — Figure 7: Additional instructor-facing analytics in DraftTrace : (a) overall analytics for an individual submission, (b) longitudinal analysis of a student’s writing across submissions, and (c) comparison with class-level writing patterns.

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Abstract

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