stdClass Object
(
    [id] => 15438
    [paper_index] => 202503-01-020736
    [title] => AI- BASED STUDENT PERFORMANCE ASSESSMENT AND GRADING ENGINE
    [description] => 
    [author] => Sangita Bhoyar, Shubhra Tonge, Prajol Avhad, Krushna Borhade, Atharva Raut, Prachi Singh
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => March
    [volume] => 11
    [issue] => 3
    [file] => fm/jpanel/upload/2025/March/202503-01-020736.pdf
    [abstract] => The AI-Based Student Performance Assessment and Grading Engine is an intelligent system that evaluates academic performance with precision and fairness. Using machine learning and natural language processing, it analyzes test scores, assignments, and behavioral patterns. It provides personalized feedback, tracks progress, and adapts to different grading systems. By automating grading and reducing biases, it allows educators to focus on personalized instruction while ensuring transparent and consistent assessments.
    [keywords] => AI-based, Student Performance, Grading Engine, Machine Learning, Natural Language Processing, Personalized feedback, Student progress, Automated grading, Educators, Consistent assessments.
    [doj] => 2025-03-30
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 106
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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