AAU Institutional Repository (AAU-ETD)
Addis Ababa University Institutional repository is an open access repository that collects,preserves, and disseminates scholarly outputs of the university. AAU-ETD archives' collection of master's theses, doctoral dissertations and preprints showcase the wide range of academic research undertaken by AAU students over the course of the University's long history.
How to Submit Your Work
The repository contains scholarly work, both unpublished and published, by current or former AAU faculty, staff, and students, including Works by AAU students as part of their masters, doctoral, or post-doctoral research
- All AAU faculty, staff, and students are invited to submit their work to the repository. Please contact the library at your college.
You may contact digirep@aau.edu.et.with any questions about the repository
Colleges,Institutes in AAU-ETD
Select a college,institute to browse its collections.
Recent Submissions
The Assessment of Students' Accommodation Services in Higher Educational Institutions: The Case of Haramaya Universty
(Addis Ababa University, 2012-04-01) Dawed Beker; Yekunoamlak Alemu
The objective of residence halls at the University is not only to provide a place to sleep, but
also to provide Conducive educational environments. The purpose of the study is to analyze the
current practices of accommodation services available in HU that affect the students'
educational development. To examine the attitude of students towards accommodation services
available in HU and to identify the needs of the students to be fulfilled by HU authorities. This
study is a descriptive survey design. This survey type is the best tool to obtain information
concerning the current status of the problem and to interpret and dray\! conclusions from the
facts discovered. The researcher used both quantitative and qualitative methods. The main
participants of the study were regular students of the Haramaya University, main campus
during 2010 - 2011. The strata composed of male and female student's. The total numbers of
students were 11,568 and out of these 9.156 were males and 2,412 were female. The samples
from both male and female students were selected using the proportional sampling techniques.
The samples for male students were selected from 33 different buildings and female students
sample were selected from seven different buildings. The researcher had selected samples of
2.5 % of students from both sexes. Hence a total of 229 male and 60 females were included in
the study. From the samples selected, the researcher had received the responses of 208 male
and 52 female students' respondents. The data sources and data collection methods were ./i•om
primary sources through physical observations, questionnaires and interviews and the
secondary data sources were also collected from different documents, different books, internet,
desk research and other relevant documents. Both quantitative and qualitative data analysis
were employed to come up with the results of the study. The result of the study revealed that the
facilities provided by HU were good and fair. But, the services provided by HU were very weak
and very poor. Similarly, the study identified shortage of water supply that has negative impact
on educational performance of students. This study implies that HU is changing from time to
time. However, still it has to do much regarding learning resources and services. [n this
regard, first and foremost; assessment of such kind should be developed as a culture in the
University. Moreover, as a learning institution, HU needs to take timely corrective measure so
that it can create conducive environment for successful and effective learning environment, that
is, best management of student services
Leadership Practice and Its Contribution to Student Academic Performance in the Second Cycle Primary Schools of Garno Gofa Zone
(Addis Ababa University, 2012-06-01) Betta Tsemato; Ayalew Shibeshi
The purpose of this study was to investigate the effects of the current leadership practice on thestudents' academic performance in the study area and then to suggest ways of alleviating theproblem. To this end, descriptive survey research design as well as both quantitative andqualitative research methods was employed. The study included 2 sample schools selected bymaximum variation sampling technique based on the highest and the lowest academicperformance. A total of 330 subjects composed of 14 school leaders, 66 teachers and 250students were included. The entire population of the subjects was included except for studentrespondents which were selected by simple random sampling technique. Questionnaires of 330copies were distributed among which 315 were collected; focus group discussion was conductedwith the school leaders; and relevant documents were reviewed to enrich the data obtainedthrough the questionnaires. The quantitative data were analyzed using independent samples testand multiple regressions through SPSS version 15. The qualitative responses were analyzedin narration. The findings indicated that leadership practice and learning environment had higheffect on academic performance. Moreover, the study indicated that more effective leadershippractice in Zada Primary School enhanced academic performance regardless of poor learningenvironment, whereas less effective leadership practice in Banda Primary School hinderedacademic performance regardless of more conducive learning environment. Thus, the researcherrecommends that the school leaders in the study area need to apply appropriate leadershipstyles, they need to improve leadership practice through providing short term and diploma leveltrainings, and through undertaking leadership development programs. Besides, alternativesolutions need to be sought through rigorous research
Students' Absenteeism and Truancy of Students in Government General Secondary Schools of Arada Sub-City
(Addis Ababa University, 2016-06-01) Berhanu Worku; Jelilu Oumer
The main objective of the study was to assess the student's absenteeism and truancy in Government general secondary schools in Arada sub city in Addis Ababa .Absenteeism andtruancy are two of the major causes that are obstacles to the teaching learning process. A descriptive design was used to conduct the study. To achieve the objective, the study used aqualitative as well as quantitative research method (mixed methodology). Questionnaires,interviews and Focused Group Discussion tools were used to collect the data. Of the studentsthat reside in the selected three schools, 200 students were selected at systematic random sampling and were provided with the questionnaires in the selected schools. And, to take part the focus group and personal interviews, from the aboverespondents a total of 70 people were selected using systematic random sampling method. The study used purposive sampling in selecting schools from the population to get sufficient information. The analysis of the data was conducted using mixed methods. The analysis of the first stage, filled questionnaires were analyzed by tallying and calculating the frequencies and for the second stage data was analyzed using Root Cause Analysis (RCA) techniques. And finally,comparison of quantitative and qualitative results was used. The results obtained in this research indicated that of the student respondents 85% were absent at least once and 65% were absent at least twice in the school year. The result alsoindicated that both students and adult respondents blame personal factors like lack of school value and school factors like unattractive school environment for the student's absence. As a conclusion, this study has shown that the problem of absenteeism is quite prevalent in the selected schools education landscape. The study also has shown the majority of the causes for students absenteeism and truancy stem from personal causes of poor grades, lack of value towards education and the Friday mentality and the school causes of unattractive school environment, lack of proper school recreational areas and discouraging subjects. This study also suggested that majority of the causes could be followed back to their root causes that deeply lie on their personal causes and the attributable school causes. And the major recommendations of the study were to empower students first, Make the school an attractive place to learn with enough sources of recreation and to conduct additional studies with larger and comparative samples to improve knowledge on the subject matter
Passenger Satisfaction Prediction Model for Ethiopian Airline Utilizing Machine Learning Algorithms
(Addis Ababa University, 2025-08-01) Dureti Guye; Melkamu Beyene
Passenger satisfaction prediction is a critical task for Ethiopian Airlines to maintain service excellence and sustain a competitive advantage. Simple Traditional methods, such as statistical tools, often lack the analytical depth required to uncover complex patterns in large-scale passenger data. This study aims to develop a machine learning-based predictive model capable of assessing passenger satisfaction proactively, allowing Ethiopian Airlines to implement timely improvements and maintain service excellence. To conduct this study, passenger data was collected from Ethiopian Airlines' customer survey system, resulting in a dataset of 20,000 records between January 2022 and January 2023. Each response includes ratings on service quality, delays, staff interaction, and overall satisfaction, along with demographic details such as age and travel class. Data was gathered via both digital and paper surveys distributed at various touchpoints, including check-in, baggage claim, and post-flight followup. The dataset’s key attributes include passenger ratings, delay durations, demographic variables, and service-related feedback, providing comprehensive metadata for analyzing passenger satisfaction After acquiring the data, several preprocessing steps were applied to ensure data quality and compatibility with machine learning algorithms. Subsequently, we selected machine learning models that aligned with the objectives of the study and trained them to uncover the key factors influencing passenger satisfaction. The models were also used to evaluate the predictive performance of different algorithms. The dataset was split into 80% for training and 20% for testing. Finally, the trained models were evaluated to compare their accuracy and to identify the most influential features affecting passenger satisfaction. Based on the experiments conducted, ensemble models particularly XGBoost and Random Forest demonstrated the highest performance, achieving approximately 89% accuracy, meanwhile the deep learning algorithm (MLP, TabNet and DCN) achieves 85% accuracy in predicting passenger satisfaction. Ensemble models like XGBoost and Random Forest circumvented some of the common challenges faced by deep learning approaches such as data requirements, complexity, and interpretability thereby achieving higher predictive accuracy and providing more transparent insights into passenger satisfaction drivers. The dataset used in this study contained 20,000 records with 22 independent variables. Such data is sufficiently rich for ensemble models to learn complex non-linear relationships but not large enough to fully exploit the representational capacity of deep learning models (MLP, TabNet, and DCN) lacked sufficient data to optimize their numerous parameters, leading to slightly lower performance compared to ensemble methods. The most significant features found to be Type of Travel, Class, Customer Type, and Total Delay. This study confirms again that ensemble models like Random Forest and XGBoost are very effective for classification issues. Features such as Type of Travel, Class, Customer Type, and Total Delay were more influential on passenger satisfaction than traditionally assumed features such as Booking Service, Baggage Service, and Lounge Service. This result highlights the strength of machine learning and explainable AI (XAI) techniques in uncovering hidden patterns and identifying the real drivers of customer satisfaction in big and complex datasets
An Assessment of Human Resource Training and Development Practices and Challenges Faced Public Sectors in Dejen Woreda
(Addis Ababa University, 2012-06) Habtamu Abebe; Yekunoarnlak Alemu
This study investigated the training and development practices at public
sectors in Dejen Woneda. The study aimed at exploring the practice and
investigates challenges public sectors faces in implementing its training and
development programs. To conduct this study, a descriptive survey method was
employed with sample of 234. The sampling techniques employed for this study
were mainly stratified random sampling procedures. For the purpose,
questionnaire, and interview were used as an instrument to collect the data.
The data obtained through questionnaire were analyzed using percentage,
mean value, grand mean value, and chi-square; and data from interview was
described qualitatively to supplement the data obtained through questionnaire.
The study revealed that the majority of respondents claimed that although the
policy / program is adequate in theory, it is not being implemented in full.
Regarding the implementation, there exists inadequate training and
development, unequal access for training and absence of training and
development need assessment. Furthermore the effort to make training and
development program based on performance is not satisfaction. The core and
higher challenge faced by public sectors in the effective management of training
and development is lack of attention and inadequate fund to training programs.
From these findings it was concluded that the procedures of staff training and
development within public sectors are undeveloped. They are performed
occasionally, and not connected with organizational strategy. Finally, based on
this conclusion, some recommendations are forwarded as to how all the
concerned bodies can play vital role to improve the implementation of HRD
activities. Therefore, they must give due attentions for human resource training
and development programs and maximizing it positive outcomes. In addition to
this, the public sectors should allocate adequate budget and take responsibility
to alleviate the shortage of budget for staff members training and development
practices.