ISSN 2360-7963
Abstract: The primary goal of this study was to address the issues associated with teachers manually checking exam papers. The researcher proposed automating the process of checking exam papers to reduce the burden of manual labor and improve teachers' health and well-being. The study utilized a quantitative research approach, incorporating statistical analysis. Survey questWe used survey questionnaires to gather relevant data from teachers at Benguet State University about the challenges they faced when manually checking students' test pThis study used statistical tools like the mean and t-test to determine the significant difference between manual and automated checking of students' test papers. are grTeachers face significant challenges when manually checking test papers, including the high volume of exam papers, the slowness of the process, the occurrence of errors, and the lack of sufficient time to complete the task. developed for checking the multiple-choice test implemented optical character recognition (OCR). The ad hoc method for the marked answer recognition algorithm corrects the wrong character interpreted by the OCR, processes to get the appropriate letter answer from the marked answers, and checks for valid answers. There is a highly significant difference between the manual and automated checking of multiple-choice test papers in terms of efficiency. There is a highly significant difference in OCR accuracy between the (Pen Colour + Full Shading) and (Pen Colour + X Marking) answer markings. The OCR is not perfect for recognising the marked answers on the answer sheet.
Keywords: ad hoc method for marked answer recognition algorithm, automated checking, multiple-choice test, optical character recognition