Predicting Undergraduate Students' Achievement in Ethiopian Higher Learning Institutions - Employing a Machine Learning Approach

Aug 2, 2026

The thesis investigates how machine learning methods can predict undergraduate students’ academic achievement in Ethiopian higher learning institutions. It frames student performance as an outcome measurable through educational data, then applies common modeling approaches to learn relationships between input features and predicted results. The work is guided by academic oversight, with structured acknowledgments, an abbreviations section defining key terms, and documented institutional context for data collection. The study supports data-driven decision-making for improving learning outcomes.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages101

Reading Time4 h 15 min

AccessFree to download

DECLARATION

ACKNOWLEDGMENTS

ABBREVIATIONS

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JIMMA UNIVERSITY
JIMMA INSTITUTE OF TECHNOLOGY
FACULTY OF COMPUTING AND INFORMATICS INFORMATION MANAGEMENT CHAIR MSC IN INFORMATION SCIENCE (IKM)
PREDICTING UNDERGRADUATE STUDENTS' ACHIEVEMENT IN ETHIOPIAN HIGHER LEARNING INSTITUTIONS BY EMPLOYING A MACHINE LEARNING APPROACH
BY
Jewar Mohammed
FEBRUARY 2023 JIMMA, ETHIOPIA | | | | | | JIMMA UNIVERSITY JIMMA INSTITUTE OF TECHNOLOGY FACULTY OF COMPUTING AND INFORMATICS INFORMATION MANAGEMENT CHAIR MSC IN INFORMATION SCIENCE (IKM) PREDICTING UNDERGRADUATE STUDENTS' ACHIEVEMENT IN ETHIOPIAN HIGHER LEARNING INSTITUTIONS BY EMPLOYING A MACHINE LEARNING APPROACH A Thesis Submitted for Partial Fulfillment of the Requirements for Degree of Masters of Science in Information Science (IKM) By Jewar Mohammed Principal Advisor: -Dr. Amanuel Ayde (Ph.D.) Co-Advisor:-Mr. Muktar Bedaso (MSc) February 2023 Jimma, Ethiopia JIMMA UNIVERSITY JIMMA INSTITUTE OF TECHNOLOGY FACULTY OF COMPUTING AND INFORMATICS INFORMATION MANAGEMENT CHAIR MSC IN INFORMATION SCIENCE (IKM) PREDICTING UNDERGRADUATE STUDENTS' ACHIEVEMENT IN ETHIOPIAN HIGHER LEARNING INSTITUTIONS BY EMPLOYING A MACHINE LEARNING APPROACH As members of the board of examining the MSc thesis open defense examination of the above title, we members of the board (listed below), read and evaluated the thesis and examined the candidate. Name Responsibility Signature Date Mr. Hambisa Mitiku (MSc) Chairperson Dr. Amanuel Ayde (Ph.D.) Principal Advisor Mr. Muktar Bedaso (MSc) Co-advisor Mr. Chala Dirba (Msc) Internal Examiner Dr. Tibebe Besha (Ph.D.) External Examiner February 2023 Jimma, Ethiopia DECLARATION The undersigned, Jewar Mohammed, declares that this thesis, "Predicting Undergraduate Student Achievement in Ethiopian Higher Learning Institutions Using Machine Learning Approach," is my original work. I have undertaken the research work independently, with the guidance and support of the research advisor. This study has not been submitted for any degree or diploma program in this or any other institution, and all sources of materials used for the thesis have been duly acknowledged. Jewar Mohammed February 2023 This thesis has been submitted to the department for examination with our approval as university advisors: Principal Advisor: -Dr. Amanuel Ayde (Ph.D.) Co-Advisor:-Mr. Muktar Bedaso (MSc) February 2022 ACKNOWLEDGMENTS First and foremost, I would like to thank the Almighty Allah for allowing me to complete this thesis and to praise him for the rest of my life. I'd like to thank my principal advisor, Dr. Amanuel Ayde (Ph.D.), and my co-advisor, Mr. Muktar Bedaso (M.Sc.), for their inspiration, patience, excellent guidance, continuous supervision, support, and modification of this work. I learned so much from them that I will be eternally grateful for every research skill they instilled in me. Thank you to all of Jimma University's Information Management Chair Instructors for your kind contributions to my work by morally encouraging me and providing valuable information, without which this paper would not have been possible to complete. I am also grateful to Bonga University and Mizan-Teppi University for allowing me to collect data in their institutions and for permitting me to conduct this research. In addition, I'd like to thank Bonga University Registrar Seyume and Mizan-Teppi University Registrar Belete for their assistance with data collection during my research. I'd like to thank my classmates for their friendly and supportive attitudes while working on group projects, assignments, and general academic activities over the last two years. Most importantly, I would like to express my heartfelt gratitude and thanks to my wife, Semira A.; my daughter, Ametellah J., whom I lost during my journey; my lovely son, Mohamed; and my brother, Habib S., for their endurance, sacrifice, mo

FAQs

What is the main goal of the thesis?

To predict undergraduate students’ achievement in Ethiopian higher learning institutions by employing a machine learning approach.

Who supervised the research?

Jewar Mohammed’s principal advisor is Dr. Amanuel Ayde, with Mr. Muktar Bedaso as co-advisor.

What key educational terms are defined in the thesis?

The thesis includes an abbreviations section defining terms such as AI, ML, GPA, HEIs, and common evaluation metrics like MAE, MSE, TPR, FPR, TNR, and ROC.

Aug 2, 2026

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