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Determinants of academic achievement among higher education student found in low resource setting, A systematic review

  • Chalachew Kassaw ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    1234berekassa@gmail.com

    Affiliations Department of psychiatry, Dilla University, Dilla, Ethiopia, Faculty of Social Sciences, Lobachevsky State, University of Nizhny Novgorod, Nizhny Novgorod, Russia

  • Valeriia Demareva

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Social Security and Humanitarian Technologies, Nizhny Novgorod State University, Nizhniy Novgorod, Russia

Abstract

Background

Academic success is a measure of students’ ability to attain their educational objectives, often assessed through regular evaluations or examinations. To establish effective policies and programs that align with academic accomplishments, conducting comprehensive data analysis is pivotal. Hence, this systematic review aimed to synthesize the factors impeding the academic achievements of Ethiopian students in higher education.

Methods

A comprehensive review was conducted on studies involving Ethiopian university students from 2013 to 2022. The review encompassed 24 papers that were gathered from different databases like PubMed, Google Scholar, African Journals Online, Scopus, and Web of Science.

Results

The findings of this research revealed that inadequate classroom environments, experiencing dysmenorrhea, and engaging in excessive social media usage were all linked to a decline in academic performance. Conversely, adopting healthy sleep habits, achieving high scores in entrance exams, and avoiding recent substance abuse were all factors positively influencing academic success. In addition, there was a positive correlation between academic excellence and being a health science college student and age range of 20 to 24 years old.

Conclusion

To enhance academic performance, it is crucial to address the negative factors identified, such as inadequate classroom environments, dysmenorrhea, and excessive social media usage, while promoting positive factors like healthy sleep habits, high scores in exams, and avoiding substance abuse. Additionally, being a health science college student and belonging to the age range of 20 to 24 were found to be associated with academic excellence.

Introduction

Academic success pertains to the extent of accomplishment exhibited by a student or institution in attaining educational objectives, regardless of whether they are immediate or long-range in nature [1]. Education is a formidable catalyst for transforming a nation’s societal harmony, economic prosperity, standard of living, and overall well-being [2]. Graduation rates evaluate the performance of an institution, while GPA (Grade Point Average) measures the achievements of individual students [3]. GPA (Grade Point Average) is calculated by dividing the sum of grade points by the total units [4]. The assessment of students’ knowledge and skills attained from each subject depends on the subject-area measurement level [5].

Higher education institutions play a vital role in creating an environment that promotes learning and supports the development of global competencies in various academic disciplines. This, in turn, allows learners to effectively navigate the ever-changing global landscape. Ultimately, such efforts enhance the overall quality of education and equip students to successfully overcome challenges [6]. Learning is a lifelong and challenging process that does not guarantee the attainment of knowledge, skills, or perspectives. It requires significant effort and time [7]. In order to succeed in school, students must exhibit initiative, self-control, effective time management, focused attention, inquisitiveness, and active engagement in the classroom [8]. Good academic performance offers numerous benefits, including improved living conditions, increased productivity, and better economic prospects for society. It also provides students with a positive self-image, confidence, good mental health, social skills, and a clear vision for their future [9]. Poor academic performance in students can potentially lead to a range of psychological problems, such as substance abuse, criminal behavior, promiscuity, and conflicts in relationships [10]. There were also encounters of difficulties with timely graduation due to retakes and grade changes, strained relationships with professors and support staff, as well as conflicts with college deans and students [11]. The government’s extensive educational efforts have failed to assist many students in achieving higher academic levels [12]. The number of students enrolling in Ethiopia’s higher education institutions is not comparable to the number of graduates because a significant portion of applicants are initially rejected, then withdraw, and ultimately get readmitted [13]. Challenging situations can often result in family struggles, dependence, lack of insurance, poverty, and insufficient access to healthcare coverage [14]. The effectiveness of teaching and learning tools, along with the students’ personality, goals, and teachers’ skills, all have an impact on academic progress. Studies have shown that the environment also plays a critical role in students’ performance in school [15]. Academic achievement is influenced by several factors, including finances, study habits, time management, health, and family connections, all of which are significant [16]. Poor academic performance has been found to be linked to several factors, including sporadic school attendance, low parental education, unstable family relationships, excessive use of social media, and spending excessive amounts of time engaging in conversation [17]. Research conducted by national universities has identified specific characteristics that are consistently associated with poor academic performance [18]. For instance, a study conducted by Bahir Dar University discovered that a student’s academic status is influenced by the education level of their parents and their tendency to frequent pubs and clubs [19]. However, the results of a study at Arba Minch University showed that a student’s past academic achievement largely predicts their present performance on campus [20]. An additional examination conducted at Wolayita Sodo University discovered a correlation between present drug usage and academic achievement [21]. Currently, there are 42 public institutions in the country, all of which strive arduously to improve the quality of education [22]. Assessing the academic performance of students is crucial for ensuring quality assurance in higher education institutions. However, analyzing national averages of academic predictors is an essential tool for developing academic policies and strategies that can enhance education quality on a broader scale. This review specifically aimed to identify the main predictors of academic achievement based on studies conducted among universities located in different regions of Ethiopia. The review found that participation in a supportive academic environment, acquiring essential information, maintaining a positive outlook, and possessing subject-specific abilities are crucial factors for student success. While numerous individual studies have been conducted in various parts of the country that have identified potential factors associated with academic achievement, decision-makers who are striving to improve academic standards in Ethiopian higher education institutions will find this comprehensive review particularly beneficial. Moreover, the review also identified areas of knowledge gaps that require further exploration in order to enhance academic quality throughout the country.

Methods

Study design and setting

A systematic review covering studies conducted in Ethiopian higher education institutions between 2013 and 2022 was conducted between January and February of 2023. As of 2023, Ethiopia will have 83 private institutions, 42 public universities, and 677 study options. Additionally, more than 150,000 adults graduate annually in the country. The universities offer training for students pursuing undergraduate, graduate, and doctoral degrees [23]. We have checked the Prospero database (http://www.library.ucsf.edu/) to determine if there are any published or ongoing projects related to the topic, in order to avoid any duplication. The findings revealed that there are no ongoing or published articles in the area of this topic. The current systematic review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria (S1 File) [24].

Searching strategy and source of information

An extensive literature search was conducted using international databases, including PubMed, Scopus, Google Scholar, African Journals Online, and Web of Science, to retrieve relevant articles. Search terms were formulated following the Population, Intervention, Comparison, and Outcomes (PICO) framework and applied to the online databases. Medical Subject Headings (MeSH) terms and key terms were developed using various Boolean operators, such as "AND" and "OR." The following search terms were used: “Academic Achievement”, OR “Academic Performance” OR “Average Cumulative Grade Point”, OR “Performance Indicators” AND Psychological Determinants”, “Biological Determinants”, “Social Determinants”, “Higher Education”, “Competency Measures”, AND “Teaching-learning styles Predictors” AND “Ethiopia” (S2 File).

Eligibility criteria

The authors performed an unbiased eligibility examination based on the provided criteria. Issues were resolved through mutual agreement and the involvement of other authors. This systematic review analyzed articles written in English, published between 2013–2022 and that investigated predictors of academic achievement among higher education students. Only studies with cross-sectional designs, defined outcome variables, and covariates were included. This research aimed to identify factors that contribute to academic success among college students. Studies that did not use basic statistical analysis (Prevalence, Mean, ANOVA, T-test, adjusted odds ratio and Crude odd ratio) to establish the connection between academic performance and its influencing factors were excluded from the review.

Operational definitions

Outcome measurement (Academic achievement).

Grade Point Average (GPA): Grade point average (GPA) is a value calculated by multiplying the unit value for each course by the grade point total and then dividing the sum by the total number of units.

A checklist: An assessment tool lists the specific criteria for skills, behaviors, or attitudes that participants must demonstrate to show that they have successfully learned from training.

Writing assessment: It refers to a field of study that contains theories and practices that guide the evaluation of a writer’s performance or potential through writing tasks.

Interview assessment: An interview based test used to evaluate a student’s suitability for the particular subject they wish to pursue in a specific department.

A skills gap analysis: It is a tool used to assess the gap between a student’s current capabilities and the requirements of a particular profession, both current and future.

Determinant factors of the outcome measurement.

Psychological factors: The internal influences shape our thoughts, feelings, and behaviors.

It includes mental pain, sleep quality, self-esteem, prosocial behavior, anxiety, depression, and suicidality.

Biological factors: These are the physical and chemical influences on our bodies and minds.

It includes gender, age, and hormonal issues (dysmenorrhea). Facility-related factors: This physical and environmental conditions support student learning. It includes availability of adequate seating and studying spaces, lighting, technology, equipment and supplies, sleeping accommodations, dining halls, sports fields, green spaces and other outdoor areas.

Life style factors: These are the choices and behaviors that people make that can affect their health and well-being. It includes excessive social media usage, premarital sex, and sexual abstinence.

Study selection and data extraction.

The researchers used the reference management software Mendeley, Desktop and Endnote version 25 to remove duplicate articles from the search results. Three independent reviewers then screened the titles and abstracts of the remaining articles to determine eligibility for the review. Any disagreements between the reviewers were resolved based on pre-established criteria. Two independent reviewers then extracted data from the eligible articles using a standardized data extraction form created in Microsoft Excel. Any discrepancies during data extraction were resolved through discussion. The data that was extracted included the name of the first author, study area and region, study month and year, study design, year of publication, study population, sample size, response rate, and level of good knowledge, positive attitude, and poor practice.

Quality assessment

To assess the quality of each study included in this systematic review, we used the modified Newcastle Ottawa Quality Assessment Scale (NOS) for cross-sectional studies [25]. Both authors (Chalachew Kassaw and Valeria Demareva) independently assessed the quality of each study, considering the following factors: methodological quality, sample selection, sample size, comparability of the study groups, outcome assessment, and statistical analysis. In the case of disagreement between authors, other reviewers were involved to resolve the issue. All studies included in this systematic review were cross-sectional, quantitative, or qualitative studies (S3 File).

Results

Study search and selection

This study conducted a systematic review of academic achievement and its related factors by limiting the search to full-text articles in English published between 2013 and 2022 in the following databases: PubMed, Scopus, Google Scholar, African Journals Online, and Web of Science. A total of 67 primary papers were found, and 19 and 20 publications were discarded as duplicates and unrelated to the study, respectively, after title and abstract screening. Of the remaining 28 papers, four were excluded due to inadequate evidence of the relationship between academic achievement and its factors. Finally, 24 papers that met all inclusion requirements were selected for the systematic review. The rigorous methodology used in this study highlights the importance of selecting relevant papers to establish robust findings that can support subsequent research on academic achievement and its factors (Fig 1).

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Fig 1. The flow chart that showed the selection process of papers for systematic review.

https://doi.org/10.1371/journal.pone.0294585.g001

Magnitude

Most systematic reviews of academic achievement and its factors among college students in Ethiopia focus on average grade point and performance evaluation indicators, adapting these metrics to their research goals and regional contexts [2632] However, high-quality research on the topic in Ethiopia is scarce. This study analyzed eligible peer-reviewed papers from various Ethiopian colleges published between 2013 and 2022. Most of these studies were cross-sectional and included samples of both men and women from institutions. However, two studies used a cross-sectional, qualitative design [33,34]. Most of the studies we reviewed [2632] examined sociodemographic factors such as age, gender differences, and monthly pocket money as potential contributors to academic achievement. However, a small proportion of studies, specifically those that examined the relationship between menstruation and academic success, included interviews with women [35,36]. This study review included participants from all part of the nation, aged 18–35 years with an average of 21.2 years. It found that factors such as biological, psychological, social, student-teacher interaction and lifestyle characteristics are predictive of academic achievement (Tables 14).

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Table 1. Psychological related factors associated with academic achievement in low resource setting over the past 10 years (2013–2022), 2023.

https://doi.org/10.1371/journal.pone.0294585.t001

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Table 2. Biological related factors associated with academic achievement in low resource setting over the past 10 years (2013–2022), 2023.

https://doi.org/10.1371/journal.pone.0294585.t002

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Table 3. Facility and educational environment related factors associated with academic achievement in low resource setting over the past 10 years (2013–2022), 2023.

https://doi.org/10.1371/journal.pone.0294585.t003

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Table 4. Life style related factors associated with academic achievement in low resource setting over the past 10 years (2013–2022), 2023.

https://doi.org/10.1371/journal.pone.0294585.t004

Psychological predictors of academic achievement

According this study review result, sleep quality, mental distress, suicidal ideation, perceived stress, low self-esteem, depression, pro-social behavior and test anxiety were identified factors associated with academic achievement (Table 1).

Biological predictors of academic achievement

Gender difference (male), age difference (20–24 years old), psychoactive substance use and menstrual related factors (dysmenorrhea and long menses period) were associated with academic achievement (Table 2).

Facility and educational environment predictors of academic achievement

This study review revealed that Dormitory crowdedness, inadequate anatomy-teaching model, low internet access, Past English achievement, Entrance exam result, students’ perception of teachers, students’ academic self -perception and students’ social self-perception were associated with academic achievement (Table 3).

Life style predictors of academic achievement

Student’s life style factors such as pre-marital sex, sexual abstinence and excessive social media (Facebook, What up and telegram) use were associated with academic achievement (Table 4).

Summary of predictors of academic achievement

Several studies have found a significant negative correlation between academic achievement and factors. This include facility related factors such as large class sizes, insufficient internet access, poor classroom amenities, and teaching methods. Lifestyle style related factors such as excessive social media usage, premarital sex, and sexual abstinence have also been shown to have an impact on academic achievement. Psychlogical factors such as perceived stress, a lack of social support, and low self-esteem have also been found to influence academic success. Finally, Biological factors such as gender, age above 24, and hormonal issues, especially dysmenorrhea, are other factors that have been shown to have a significant impact on academic performance (Fig 2).

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Fig 2. Summarized category of factors associated with academic achievement in higher education.

https://doi.org/10.1371/journal.pone.0294585.g002

Discussion

This systematic review explored the factors affecting academic success in Ethiopian higher education. Both modifiable and non-modifiable characteristics were identified as predictors of academic achievement.

Socio-economic factors

This study review found that individuals with low socioeconomic status, specifically low monthly income and inadequate social support, were more likely to experience poor academic performance. This review result is similar with a systematic review done in Belgium [50], Pakistan [51], and Netherlands [52]. Financial constraints can prevent students from accessing basic educational tools, such as pencils, paper, laptops, and notebooks, which are necessary to attend classes efficiently and achieve good academic results. Students with strong social support are highly motivated to succeed in their studies, cope with challenges, manage stress and anxiety, and have opportunities to collaborate with others, discuss ideas, and get feedback on their work. Providing daily necessities such as financial and emotional support is essential for students’ physical and mental well-being.

Biological factors

The study also found that biological factors, such as gender, age, and menstrual cycle-related hormone changes, are associated with academic success. These findings are consistent with research conducted in low- and middle-income countries [53] and Saudi Arabia [54] and China [55]. Advanced age may cause changes in all parts of the body, including the brain. Certain parts of the brain shrink, especially those that are important for learning and other complex mental processes [56]. Neuronal transmission may become less efficient in some areas of the brain as people age, which can lead to a decline in working memory and make tasks like making decisions and resolving problems more challenging [57]. Students with dysmenorrhea may miss classes, assignments, and tests, be reluctant to participate in class discussions or activities, experience pain and discomfort during class and study, and find it difficult to focus and concentrate, all of which can lead to lower academic achievement.

Estrogen increases the production of acetylcholine, a brain enzyme essential for memory, and strengthens neuronal connections in the hippocampus, a region of the brain critical for language recall. Estradiol, a hormone prevalent in women, is particularly important for word memory, focus, and rapid information processing [58,59].

Psychological factors

This study review found that mental and psychological conditions such as melancholy, anxiety, suicidal thoughts, low self-esteem, perceived stress, prosocial behavior, and sleep disorders are important indicators of academic achievement in higher education. This finding was consistent with a research conducted in Italy [60], Australia [61], Nepal [62] and China [63]. Mental health issues can negatively influence students’ academic success by reducing their energy, focus, motivation, cognitive abilities, and optimism. Depressed or anxious students may find it difficult to socialize and participate in class, which can lead to a decline in their academic performance. Students struggling with mental health concerns may also become less engaged and proactive in their studies [64,65].

Life style factors

The systematic review found that premarital sex, social media use, and sexual abstinence could affect a person’s way of life. The same conclusion was reached in a Latin American study [66] and China [67]. Students who engage in premarital sex may be more likely to experience academic failure for a number of reasons. They may spend more time with their partners, miss more classes, and get distracted. They may also feel guilty, low self-esteem, and susceptible to physical illnesses. All of these factors can contribute to academic problems [68]. A major drawback of technology is that social media use can distract students from their academic work. When students are bombarded with both educational and entertainment messages, it can be difficult for them to concentrate on their lectures. Additionally, students may prioritize online chatting and building relationships on social media over reading books in their free time, which can further harm their academic performance [69,70].

This study also found that certain facility-related factors, such as crowded dorm quarters, large class sizes, inadequate classroom amenities, and restricted internet access, are associated with academic achievement. This result was supported with a study done United Kingdom [71], Malaysia [72] and Korea [73]. This may be explained by inadequate school infrastructure, which can distract, tire, and disengage students, making it difficult for them to learn effectively. Examples of poor school facilities include loud noises, crowding, poor lighting, and difficulty accessing instructional materials [74].

This review found that the field of study, a good student-teacher relationship, the absence of breaks, and the performance of previous students are all academically linked criteria, consistent with reviews and studies conducted in the United Kingdom [75], Unites States of America [76], Nepal [77] and China [78]. Students are more likely to study when they feel positive about their learning environment. This is because they are more motivated to learn when they feel a sense of belonging, competence, and autonomy in their academic setting [79]. Factors in your classroom environment can influence student motivation. Motivated students put more effort into learning activities, such as paying attention, overcoming challenges, interacting with others, forming friendships, and managing their emotions (e.g., sadness and anxiety) [80].

Strengths of the study review

The review searched five databases to retrieve relevant articles.

The review strictly followed PRISMA flow charts.

More than one assessor evaluated the quality of the studies.

The review used the appraisal process developed by the Joanna Briggs Institute (JBI).

The review included studies from all parts of the country, ensuring good representativeness.

Limitations of the study review

The measurements for academic achievement and operational definitions may have differed between the primary studies.

Conclusion

This systematic review analyzed the predictors of academic achievement in Ethiopian higher education students, as identified in primary studies conducted over the past 10 years. The review identified many factors that affect academic achievement, including controllable factors such as facility-related variables, emotional factors, and lifestyle factors. These include large class sizes, poor internet connections, inadequate classroom facilities, poor teaching strategies, perceived stress, lack of social support, and substance use.

Recommendation

Based on the findings of this systematic review, it is recommended that universities and colleges in Ethiopia take steps to improve facility-related resources, provide support for student emotional and mental well-being, educate students about healthy lifestyle choices, and develop and implement interventions to address specific predictors of academic achievement.

Improving facility-related resources includes reducing class sizes, improving internet access, and providing adequate classroom facilities and teaching materials. This can help to create a more conducive learning environment for students and support their academic success.

Providing support for student emotional and mental well-being can be done by offering counseling services, creating a supportive campus environment, and raising awareness of the importance of mental health. This can help to reduce stress and anxiety among students, which can improve their academic performance. Educating students about healthy lifestyle choices can be done through workshops, seminars, and other educational programs. This can help students to make informed decisions about their health and well-being, which can indirectly lead to improved academic achievement. Developing and implementing interventions to address specific predictors of academic achievement can involve a variety of strategies. For example, interventions could be designed to reduce stress, improve social support, and prevent substance use. These interventions can be tailored to the specific needs of the student population and can be delivered in a variety of settings, such as classrooms, residence halls, and student health centers. By taking these steps, universities and colleges in Ethiopia can help to improve the academic achievement of their students and create a supportive and inclusive learning environment.

Supporting information

S1 File. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline.

https://doi.org/10.1371/journal.pone.0294585.s001

(DOCX)

S3 File. Newcastle-Ottawa Quality assessment scale.

https://doi.org/10.1371/journal.pone.0294585.s003

(DOCX)

Acknowledgments

We would like to thank all authors of the studies included in this systematic review.

References

  1. 1. Karbalaei A: Critical thinking and academic achievement. Íkala, revista de lenguaje y cultura 2012, 17(2):121–128.
  2. 2. Glavič P: Identifying key issues of education for sustainable development. Sustainability 2020, 12(16):6500.
  3. 3. Ruiz-Mallén I, Heras M: What sustainability? higher education institutions’ pathways to reach the agenda 2030 goals. Sustainability 2020, 12(4):1290.
  4. 4. Trail C, Reiter H, Bridge M, Stefanowska P, Schmuck M, Norman G: Impact of Field of Study, College and Year on Calculation of Cumulative Grade Point Average. Advances in Health Sciences Education 2008, 13(3). pmid:17063382
  5. 5. Hayat AA, Shateri K, Amini M, Shokrpour N: Relationships between academic self-efficacy, learning-related emotions, and metacognitive learning strategies with academic performance in medical students: a structural equation model. BMC medical education 2020, 20(1):1–11. pmid:32183804
  6. 6. Bond M, Buntins K, Bedenlier S, Zawacki-Richter O, Kerres M: Mapping research in student engagement and educational technology in higher education: A systematic evidence map. International journal of educational technology in higher education 2020, 17(1):1–30.
  7. 7. Logan RM, Johnson CE, Worsham JW: Development of an e-learning module to facilitate student learning and outcomes. Teaching and Learning in Nursing 2021, 16(2):139–142.
  8. 8. Hiep HD, Phong NX, Van VH: Change the methods of higher education: necessity, barriers difficulties and solution. Journal of Natural Remedies 2020, 21(8 (1)):150–162.
  9. 9. Wu Z: Academic motivation, engagement, and achievement among college students. College Student Journal 2019, 53(1):99–112.
  10. 10. Manganelli S, Cavicchiolo E, Mallia L, Biasi V, Lucidi F, Alivernini F: The interplay between self-determined motivation, self-regulated cognitive strategies, and prior achievement in predicting academic performance. Educational Psychology 2019, 39(4):470–488.
  11. 11. Holopainen L, Hakkarainen A: Longitudinal effects of reading and/or mathematical difficulties: The role of special education in graduation from upper secondary education. Journal of Learning Disabilities 2019, 52(6):456–467. pmid:31382856
  12. 12. Sukmayadi V, Yahya A: Indonesian education landscape and the 21st century challenges. Journal of Social Studies Education Research 2020, 11(4):219–234.
  13. 13. Yizengaw T: The status and challenges of Ethiopian higher education system and its contribution to development. The Ethiopian Journal of Higher Education 2004, 1(1):1–19.
  14. 14. Molla T, Cuthbert D: Qualitative inequality: Experiences of women in Ethiopian higher education. Gender and Education 2014, 26(7):759–775.
  15. 15. Briones SKF, Dagamac RJR, David JD, Landerio CAB: Factors Affecting the Students’ Scholastic Performance: A Survey Study. Indonesian Journal of Educational Research and Technology 2021, 2(2):97–102.
  16. 16. Ozcan M: Factors Affecting Students’ Academic Achievement according to the Teachers’ Opinion. Education Reform Journal 2021, 6(1):1–18.
  17. 17. Shahjahan M, Ahmed KR, Al Hadrami A, Islam M, Hossain S, Khan M: Factors Influencing Poor Academic Performance among Urban University Students in Bangladesh. International Journal of Evaluation and Research in Education 2021, 10(4):1140–1148.
  18. 18. Tessema KA: The unfolding trends and consequences of expanding higher education in Ethiopia: Massive universities, massive challenges. Higher Education Quarterly 2009, 63(1):29–45.
  19. 19. Asrese K, Muche H: Online activities as risk factors for Problematic internet use among students in Bahir Dar University, North West Ethiopia: A hierarchical regression model. PloS one 2020, 15(9):e0238804. pmid:32915864
  20. 20. Yigermal ME: Determinant of Academic Performance of Under Graduate Students: In the Cause of Arba Minch University Chamo Campus. Journal of Education and Practice 2017, 8(10):155–166.
  21. 21. Zewude BT, Ashine KM: Binary Logistic Regression Analysis in Assessment and Identifying Factors That Influence Students’ Academic Achievement: The Case of College of Natural and Computational Science, Wolaita Sodo University, Ethiopia. Journal of education and practice 2016, 7(25):3–7.
  22. 22. Molla T: Higher education policy reform in Ethiopia: The representation of the problem of gender inequality. Higher Education Policy 2013, 26:193–215.
  23. 23. Bishaw A, Melesse S: Historical analysis of the challenges and opportunities of higher education in Ethiopia. Higher Education for the Future 2017, 4(1):31–43.
  24. 24. O’Dea RE, Lagisz M, Jennions MD, Koricheva J, Noble DW, Parker TH, et al: Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension. Biological Reviews 2021, 96(5):1695–1722. pmid:33960637
  25. 25. Alexander PA: Methodological guidance paper: The art and science of quality systematic reviews. Review of Educational Research 2020, 90(1):6–23.
  26. 26. Mulualem YG, Mulu YE, Gebremeskal TG: Relations of previous English achievement with college academic achievements as mediated by English learning beliefs. Heliyon 2022, 8(7):e09841. pmid:35832340
  27. 27. Getahun Abera W: Emotional intelligence and pro-social behavior as predictors of academic achievement among university students. International Quarterly of Community Health Education 2021:0272684X211033447. pmid:34325558
  28. 28. Amhare AF, Jian L, Wagaw LM, Qu C, Han J: Magnitude and associated factors of perceived stress and its consequence among undergraduate students of Salale University, Ethiopia: cross-sectional study. Psychology, Health & Medicine 2021, 26(10):1230–1240. pmid:32783647
  29. 29. Mekonen T, Fekadu W, Chane T, Bitew S: Problematic alcohol use among university students. Frontiers in psychiatry 2017, 8:86. pmid:28579966
  30. 30. Mekonen T, Fekadu W, Mekonnen TC, Workie SB: Substance use as a strong predictor of poor academic achievement among university students. Psychiatry journal 2017, 2017.
  31. 31. Tesfahunegn TB, Gebremariam EH: Mental distress and associated factors among Aksum University students, Ethiopia: a cross-sectional study. BMC psychiatry 2019, 19(1):1–8.
  32. 32. Tessema TT, Gebremariam TA, Abebe EA: The prevalence and factors associated with mental distress among college students in Southern Ethiopia: A cross-sectional study. Ethiopian Journal of Health Sciences 2019, 29(3). pmid:31447503
  33. 33. Akibu M, Gebresellasie F, Zekarias F, Tsegaye W: Premarital sexual practice and its predictors among university students: institution based cross sectional study. Pan African Medical Journal 2017, 28(1). pmid:29881479
  34. 34. Tulu SK, Keskis W: Assessment of causes, prevalence and consequences of alcohol and drug abuse among Mekelle University, CSSL 2nd year students. American Journal of Applied Psychology 2015, 3(3):47–56.
  35. 35. Alemu SM, Habtewold TD, Haile YG: Mental and reproductive health correlates of academic performance among Debre Berhan university female students, Ethiopia: the case of premenstrual dysphoric disorder. BioMed Research International 2017, 2017. pmid:28630874
  36. 36. Mesele TT, Syuom AT, Alemu Antehneh T, Ayalew HG: Impact of Dysmenorrhea on Academic Performance Among Haramaya University Undergraduate Regular Students, Eastern Ethiopia. Frontiers in Reproductive Health 2022:41. pmid:36303653
  37. 37. Lemma S, Berhane Y, Worku A, Gelaye B, Williams MA: Good quality sleep is associated with better academic performance among university students in Ethiopia. Sleep and Breathing 2014, 18:257–263. pmid:23928956
  38. 38. Dachew BA, Azale Bisetegn T, Berhe Gebremariam R: Prevalence of mental distress and associated factors among undergraduate students of University of Gondar, Northwest Ethiopia: a cross-sectional institutional based study. Plos one 2015, 10(3):e0119464. pmid:25794278
  39. 39. Asfaw H, Yigzaw N, Yohannis Z, Fekadu G, Alemayehu Y: Prevalence and associated factors of suicidal ideation and attempt among undergraduate medical students of Haramaya University, Ethiopia. A cross sectional study. PloS one 2020, 15(8):e0236398.
  40. 40. Gidi NW, Horesa A, Jarso H, Tesfaye W, Tucho GT, Siraneh MA, et al: Prevalence of Low Self-esteem and Mental Distress among Undergraduate Medical Students in Jimma University: A Cross-Sectional Study. Ethiopian Journal of Health Sciences 2021, 31(3). pmid:34483614
  41. 41. Ahmed G, Negash A, Kerebih H, Alemu D, Tesfaye Y: Prevalence and associated factors of depression among Jimma University students. A cross-sectional study. International journal of mental health systems 2020, 14:1–10. pmid:32742303
  42. 42. Tsegay L, Shumet S, Damene W, Gebreegziabhier G, Ayano G: Prevalence and determinants of test anxiety among medical students in Addis Ababa Ethiopia. BMC medical education 2019, 19:1–10.
  43. 43. Tadese M, Yeshaneh A, Mulu GB: Determinants of good academic performance among university students in Ethiopia: a cross-sectional study. BMC Medical Education 2022, 22(1):1–9.
  44. 44. Gedefaw A, Tilahun B, Asefa A: Predictors of self-reported academic performance among undergraduate medical students of Hawassa University, Ethiopia. Advances in Medical Education and Practice 2015:305–315. pmid:25914564
  45. 45. Kibwana S, Woldemariam D, Misganaw A, Teshome M, Akalu L, Kols A, et al: Preparing the health workforce in Ethiopia: a cross-sectional study of competence of anesthesia graduating students. Education for Health 2016, 29(1):3. pmid:26996792
  46. 46. Tiruneh ST, Abegaz BA, Bekel AA, Adamu YW, Kiros MD, Woldeyes DH: Facility-Related Factors Affecting Academic Performance of Medical Students in Human Anatomy. Advances in Medical Education and Practice 2020:729–734. pmid:33117043
  47. 47. Negash TT, Eshete MT, Hanago GA: Anesthesia students’ perception of the educational environment and academic achievement at Debre Tabor University and University of Gondar, Ethiopia: a comparative cross-sectional study. BMC Medical Education 2022, 22(1):552. pmid:35840966
  48. 48. Lake Yimer B: Social Media Usage, Psychosocial Wellbeing and Academic Performance. International Quarterly of Community Health Education 2021:0272684X211033482. pmid:34275379
  49. 49. Gelibo T, Belachew T, Tilahun T: Predictors of sexual abstinence among Wolaita Sodo university students, South Ethiopia. Reproductive health 2013, 10(1):1–6. pmid:23547969
  50. 50. Rodriguez-Hernandez CF, Cascallar E, Kyndt E: Socio-economic status and academic performance in higher education: A systematic review. Educational Research Review 2020, 29:100305.
  51. 51. Masa’Deh R, AlAzzam M, Al-Dweik G, Masadeh O, Hamdan-Mansour AM, Basheti IA: Academic performance and socio-demographic characteristics of students: Assessing moderation effect of self-esteem. International Journal of School & Educational Psychology 2021, 9(4):318–325.
  52. 52. Van der Zanden PJ, Denessen E, Cillessen AH, Meijer PC: Domains and predictors of first-year student success: A systematic review. Educational Research Review 2018, 23:57–77.
  53. 53. Munro AK, Hunter EC, Hossain SZ, Keep M: A systematic review of the menstrual experiences of university students and the impacts on their education: a global perspective. PloS one 2021, 16(9):e0257333. pmid:34506544
  54. 54. Dahlawi H, Bukhari I, Alshammari F, Althaqib G, Alhawasawi M, Bashiri R, et al: Effect of Dysmenorrhea on the academic performance among students studying in Princess Nourah Bint Abdulrahman University, Riyadh. International Journal of Medicine in Developing Countries 2021, 5(2):588–594.
  55. 55. Gao W, Ping S, Liu X: Gender differences in depression, anxiety, and stress among college students: a longitudinal study from China. Journal of affective disorders 2020, 263:292–300. pmid:31818792
  56. 56. Park DC, Polk TA, Mikels JA, Taylor SF, Marshuetz C: Cerebral aging: integration of brain and behavioral models of cognitive function. Dialogues in clinical neuroscience 2022.
  57. 57. Koen JD, Rugg MD: Neural dedifferentiation in the aging brain. Trends in Cognitive Sciences 2019, 23(7):547–559. pmid:31174975
  58. 58. Baumgartner NE, Daniel JM: Estrogen receptor α: a critical role in successful female cognitive aging. Climacteric 2021, 24(4):333–339.
  59. 59. Renczés E, Borbélyová V, Steinhardt M, Höpfner T, Stehle T, Ostatníková D, et al: The role of estrogen in anxiety-like behavior and memory of middle-aged female rats. Frontiers in Endocrinology 2020, 11:570560. pmid:33117285
  60. 60. Tonetti L, Natale V, Randler C: Association between circadian preference and academic achievement: A systematic review and meta-analysis. Chronobiology international 2015, 32(6):792–801. pmid:26125131
  61. 61. Camacho-Morles J, Slemp GR, Pekrun R, Loderer K, Hou H, Oades LG: Activity achievement emotions and academic performance: A meta-analysis. Educational Psychology Review 2021, 33(3):1051–1095.
  62. 62. Ansari M: Sleeping pattern of medical students preceding viva examination and their performance. J Nepal Med Assoc 2015, 53(200):262–265. pmid:27746467
  63. 63. Liu Y, Zhang N, Bao G, Huang Y, Ji B, Wu Y, et al: Predictors of depressive symptoms in college students: A systematic review and meta-analysis of cohort studies. Journal of Affective Disorders 2019, 244:196–208. pmid:30352363
  64. 64. Khesht-Masjedi MF, Shokrgozar S, Abdollahi E, Habibi B, Asghari T, Ofoghi RS, et al: The relationship between gender, age, anxiety, depression, and academic achievement among teenagers. Journal of family medicine and primary care 2019, 8(3):799. pmid:31041204
  65. 65. Gustems-Carnicer J, Calderón C, Calderón-Garrido D: Stress, coping strategies and academic achievement in teacher education students. European Journal of Teacher Education 2019, 42(3):375–390.
  66. 66. Adelantado-Renau M, Moliner-Urdiales D, Cavero-Redondo I, Beltran-Valls MR, Martínez-Vizcaíno V, Álvarez-Bueno C: Association between screen media use and academic performance among children and adolescents: a systematic review and meta-analysis. JAMA pediatrics 2019, 173(11):1058–1067. pmid:31545344
  67. 67. Lau WW: Effects of social media usage and social media multitasking on the academic performance of university students. Computers in human behavior 2017, 68:286–291.
  68. 68. Nasution SS, Erniyati E, Hariati H: Effectiveness of Health Education in Increasing Knowledge and Attitude Towards Free Sex in Medan. Jurnal Keperawatan Soedirman 2019, 14(2).
  69. 69. Boahene KO, Fang J, Sampong F: Social media usage and tertiary students’ academic performance: Examining the influences of academic self-efficacy and innovation characteristics. Sustainability 2019, 11(8):2431.
  70. 70. Sampasa-Kanyinga H, Chaput J-P, Hamilton HA: Social media use, school connectedness, and academic performance among adolescents. The journal of primary prevention 2019, 40:189–211. pmid:30796583
  71. 71. Dunn TJ, Kennedy M: Technology Enhanced Learning in higher education; motivations, engagement and academic achievement. Computers & Education 2019, 137:104–113.
  72. 72. Abuhassna H, Al-Rahmi WM, Yahya N, Zakaria MAZM, Kosnin ABM, Darwish M: Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education 2020, 17:1–23.
  73. 73. Kim HJ, Hong AJ, Song H-D: The roles of academic engagement and digital readiness in students’ achievements in university e-learning environments. International Journal of Educational Technology in Higher Education 2019, 16(1):1–18.
  74. 74. Sadeghi M: A shift from classroom to distance learning: Advantages and limitations. International Journal of Research in English Education 2019, 4(1):80–88.
  75. 75. Rose H, Curle S, Aizawa I, Thompson G: What drives success in English medium taught courses? The interplay between language proficiency, academic skills, and motivation. Studies in Higher Education 2020, 45(11):2149–2161.
  76. 76. Tseng H, Yi X, Yeh H-T: Learning-related soft skills among online business students in higher education: Grade level and managerial role differences in self-regulation, motivation, and social skill. Computers in Human Behavior 2019, 95:179–186.
  77. 77. Ansari M, Khan S: Medical students’ perception about teaching-learning and academic performance at Nobel Medical College, Biratnagar, Nepal. Elective Medicine Journal 2014, 2(2):110–113.
  78. 78. Liu J, Peng P, Luo L: The relation between family socioeconomic status and academic achievement in China: A meta-analysis. Educational Psychology Review 2020, 32:49–76.
  79. 79. Borman GD, Rozek CS, Pyne J, Hanselman P: Reappraising academic and social adversity improves middle school students’ academic achievement, behavior, and well-being. Proceedings of the National Academy of Sciences 2019, 116(33):16286–16291. pmid:31358624
  80. 80. Madigan DJ, Curran T: Does burnout affect academic achievement? A meta-analysis of over 100,000 students. Educational Psychology Review 2021, 33:387–405.