Elham Alsadoon

Dr. Elham Alsadoon


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 August 2022 in Heliyon
Verified
Journal Article
Open access
EAElham Alsadoon
Elham Alsadoon
AAAmirah Alkhawajah
Amirah Alkhawajah
ASAshwag Bin Suhaim
Ashwag Bin Suhaim
This paper aims to investigate the effects of a gamified e-learning environment on computer science learning for middle school students. An e-learning gamification environment was developed and implemented in 8th grade to examine its effects on improving learners' achievement, motivation, and satisfaction to learn computer science online. The study was conducted during the COVID-19 pandemic, where physical distancing was required, which made the conditions very suitable for achieving the goal of this study because teaching was conducted online through an e-learning platform. The effects of the online learning gamification environment were analyzed and interpreted. The pre-test–post-test control group design of the quasi-experiment was used. One hundred thirty-three students in 8th grade were involved in the study. Results indicated that the e-learning gamification environment increased students’ motivation to learn computer science (α < 0.05) and their satisfaction with the online course (α < 0.05) but had no significant effect on their achievement. The study included several recommendations and suggestions for further studies.

2 June 2020 in Revista Romaneasca pentru Educatie Multidimensionala
Verified
Journal Article
Open access
PDF file
EAElham Alsadoon
Elham Alsadoon
MTMaryam Turkestani
Maryam Turkestani
Virtual Classrooms for Hearing-impaired Students during the Coronavirus COVID-19 Pandemic

5 February 2020 in Education and Information Technologies
Verified
Journal Article
Closed access
PDF file
EAElham Alsadoon
Elham Alsadoon

27 July 2023 in Systems
Verified
Journal Article
Open access
PDF file
ASAhmad Abdul-Wahhab Shahba
Ahmad Abdul-Wahhab Shahba
Walid SoufanWalid Soufan
Walid Soufan
OAOmar Altwijri
Omar Altwijri
EAElham Alsadoon
Elham Alsadoon
SASaud Alkathiri
Saud Alkathiri
The integration of Student Response Systems (SRSs) into classroom teaching is a pioneering progression in social sciences research that has shown potential in boosting student engagement and elevating academic success. However, no extensive study has examined the impact of its use on academic achievement within a sizable number of students of diverse cofactors, such as scientific discipline and study levels. The current study aims to conduct a comprehensive score analysis investigating the effect of SRS use on academic performance. It involved a total of 6047 male and female undergraduate students from four scientific disciplines, seven colleges, four campuses, and 13 courses covering all study levels within King Saud University. The student’s scores along with their attributes were anonymously collected from the university system. A voluntary anonymous survey was distributed to collect students’ perceptions of SRS along with their personal attributes, such as learning style, and class interaction preferences. Upon data collection, the Python programming language was exclusively implemented for comprehensive data analysis including grouping, validation, random sampling, visualization, and statistical analysis. The overall score analysis study showed a non-significant effect of SRS use on student scores compared to the control (non-SRS) group, while the survey findings proved a significant enhancement of students’ scores (in courses that utilized SRS) compared to their overall GPA. In addition, the differential score and survey analysis within various study subcategories showed significant positive effects in certain subcategories, particularly science and community colleges, and four of their representative courses. SRS showed higher levels of overall student satisfaction (average—4.4/5.0), yet it was also significantly influenced by scientific discipline, preferred interaction methods, and study levels. Overall, SRS provides a highly engaging tool with excellent student acceptance and potential academic performance enhancement.

9 May 2022 in IEEE Access
Verified
Journal Article
Open access
EAElham Alsadoon
Elham Alsadoon
This predictive correlational study investigated the extent to which the expectation confirmation model can predict the intention of students to continue using virtual desktop infrastructure (VDI). It also examined the relationships of satisfaction, perceived usefulness, and the confirmation level with the intention to continue using. The data were collected through an e-questionnaire in which 367 male and female students from the Institute of Public Administration (IPA) participated. They had previously used computer applications and software through the VDI for a number of their courses. Structural equation modeling (SEM) was used to test the hypotheses. The results indicated that satisfaction and perceived usefulness were statistically significant in predicting that the students intended to continue VDI use. The confirmation level indirectly predicted the students’ intention to continue using VDI through its effect on satisfaction and perceived usefulness. The findings suggest that it is important to improve learning experiences through VDI to raise students’ satisfaction due to its impact on their intention to continue using VDI. The study also recommends that more research be conducted in the field of VDI to explore other factors that explain and contribute to continued VDI use.

11 November 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
OAOmar Altwijri
Omar Altwijri
EAElham Alsadoon
Elham Alsadoon
ASAhmad Abdul-Wahhab Shahba
Ahmad Abdul-Wahhab Shahba
Walid SoufanWalid Soufan
Walid Soufan
SASaud Alkathiri
Saud Alkathiri
Enhancing faculty performance and student interaction during the lecture is essential to achieve sustainable learning development. The current study aims to evaluate the effect of using “Student response systems (SRS)” on faculty performance and student interaction in the classroom. The faculty members at King Saud University were encouraged to join a university-scale educational project that involve utilizing SRSs within their classes. From Fall 2016 to Fall 2019, a total of 371 faculty members and 19,746 students were enrolled in the current study. By the end of each semester, faculty and student satisfaction surveys were distributed to evaluate their perceptions of using SRS in the class. The faculty members’ and students’ response rates were 75.7% and 38.1%, respectively, and represented 18 different colleges from different disciplines within the university. Furthermore, the study covered a wide range of study levels for bachelor’s degrees ranging from levels 1–10. The study demographics showed that 60% of the total participating faculty members and 64% of students were females. Interestingly, the majority of participating faculty members (40%) and students (44%) belong to health colleges. Among the most beneficial effects of using SRSs, is that it increased the interaction, focus, and participation of students in the lecture and stimulated their desire to attend and prepare for the lecture. It also helped the faculty members to improve their teaching strategies and enabled them to know the weaknesses or strengths of students, which in turn led to the improvement of the entire educational process. The majority of faculty members as well as the students recommend applying it in other courses and future semesters. These findings were generally consistent over the whole studied seven semesters. SRSs offer a potential tool to improve faculty teaching practices, enhance student engagement, and achieve sustainable learning development among different disciplines.