Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Beyond Ocr: Intelligent Transcript Analysis

Beyond Ocr: Intelligent Transcript Analysis

Sarkar, Sujit
Panday, Mrityunjoy
Sharma, Neha

Hardcover

Series: Studies in Big Data, Book 207

Technology & EngineeringGeneral Computers

PREORDER - Expected ship date February 24, 2027

ISBN10: 3032417899
ISBN13: 9783032417893
Publisher: Springer
Published: Feb 24 2027
Language: English

This book provides comprehensive technical frameworks, implementation strategies, and evidence-based guidance for deploying scalable assessment technologies. It serves as an essential resource for AI researchers, educational technology professionals, graduate students, and institutional decision-makers. The book addresses needs of educators navigating AI adoption, software engineers building educational platforms, and policymakers considering ethical AI implementation in academic settings. The book demonstrates how contemporary AI technologies, particularly large language models like Gemini 2.0 Flash, can achieve near-human accuracy in optical character recognition while maintaining the pedagogical value and personal touch that handwritten assessments provide. By bridging the gap between traditional educational practices and modern technological capabilities, this book offers educators, administrators, and technology developers a practical roadmap for implementing automated grading systems that preserve academic integrity while dramatically improving efficiency and consistency.

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