IDEAS home Printed from https://ideas.repec.org/a/rfa/ijecsj/v9y2026i1p1-15.html

The Effectiveness of School Network in Promoting Pre-College Students' English Language Performance

Author

Listed:
  • Dawit Tefera Habtewold
  • Haile Kassahun

Abstract

The government of Ethiopia has invested over 20 million dollars to improve the quality of education through digital technology. However, the effectiveness of such huge investment on education is overlooked. The purpose of this study was to assess the effectiveness of School Network (SN) in promoting students' English Language performance. The researcher deployed a descriptive research design and a mixed research approach to collect data on the implementation processes and other contextual factors potentially influencing the process. The researcher also utilized UNESCO's input, process, and output logic model to set standards of effectiveness. The research was conducted in the City Government Administration of Addis Ababa, specifically in four selected sub-cities, based on their achievement in SN implementation. The participants of the study included one English language expert, four school principals, 20 male and 10 female English Language teachers (a total of 30 teachers), six ICT/plasma technicians, and 160 pre-college students (80 males and 80 females). Five instruments were used to collect data from primary and secondary sources. Classroom observations were conducted to assess the delivery of School Network instruction in teaching English. Moreover, focus group discussions were held, and questionnaire was administered to examine the role of the School Network on students' English language performance. Additionally, these instruments were used to identify challenges related to School Network usage in ELT. Furthermore, explorative interview was conducted and documents were analyzed to prove whether there was difference in effectiveness of the School Net instruction in teaching English language based on sex and stream(natural and social science students) or not. Besides, these instruments were utilized to identify challenges related to School Net usage in ELT. Both quantitative and qualitative approaches were employed to analyze and interpret the data gathered through these tools. The findings of the study indicated that SN has the potential to be accessed through platforms like plasma, e-learning, and cloud computing, and it provides video on demand (VOD). This enabled interactive blended language learning (IBLL), mobile-assisted language learning (MALL), and computer-assisted language learning (CALL) and Technology Assisted Language Learning (TALL). However, factors such as minimal teacher's involvement, low level of students' participation, lack of support services and facilities, frequent network disconnections, electric power fluctuations causing damage and theft of accessories such as set-top boxes, adapters, batteries and remotes; and school rules restricting students from using electronic devices in school, hindered its effectiveness. Hence, concerned authorities should evaluate the program's effectiveness and address the identified problems to help students benefit from the potential of School Network platforms to learn the target language (English).

Suggested Citation

  • Dawit Tefera Habtewold & Haile Kassahun, 2026. "The Effectiveness of School Network in Promoting Pre-College Students' English Language Performance," International Journal of English and Cultural Studies, Redfame publishing, vol. 9(1), pages 1-15, June.
  • Handle: RePEc:rfa:ijecsj:v:9:y:2026:i:1:p:1-15
    as

    Download full text from publisher

    File URL: https://redfame.com/journal/index.php/ijecs/article/download/8461/7188
    Download Restriction: no

    File URL: https://redfame.com/journal/index.php/ijecs/article/view/8461
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rfa:ijecsj:v:9:y:2026:i:1:p:1-15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.