Student Performance Research Articles

THE IMPACT OF A HEALTHY LIFESTYLE AND STRESS MANAGEMENT ON ACADEMIC PERFORMANCE OF STUDENTS AT UNIVERSITY MUHAMMADIYAH LAMONGAN

This study aims to determine the effect of a healthy lifestyle and stress management on the academic performance of students at Muhammadiyah University of Lamongan, using a quantitative method and purposive sampling technique on 45 respondents. The data was analyzed using multiple linear regression with SPSS version 27. The results show that a healthy lifestyle does not have a significant effect on academic performance, while stress management has a significant effect. Simultaneously, a healthy lifestyle and stress management have a significant positive effect on academic performance. Based on these findings, students need to pay more attention to how they manage stress, particularly in coping with academic pressures. Educational institutions, such as UMLA, can provide support by offering stress management training programs, such as psychological counseling, motivational seminars, or workshops on relaxation techniques and mindfulness. In addition, institutions can promote healthy lifestyles by organizing regular sports activities and providing access to health facilities. Academic departments may also consider policies that promote a balance between academic demands and student well-being, such as offering flexible deadlines and personal guidance. Given that this study explains only 15.6% of the variability in academic performance, future research can explore other factors, such as learning motivation, teaching methods, social support, and the use of technology in the learning process.

Unlocking the Beat: How AI Tools Drive Music Students' Motivation, Engagement, Creativity and Learning Success

ABSTRACTThis study explores the relationships among music students' artificial intelligence (AI) perceptions, motivation, engagement, creativity and learning success. Through a random sampling method, 521 Chinese music students participated in the research, which employed a range of questionnaires to assess AI perceptions, motivation, engagement, learning outcomes and creativity. The study utilised SPSS (version 27) and AMOS (version 24) for comprehensive statistical analysis. Findings reveal a significant relationship between students' perceptions of AI in music education and their motivation, engagement and learning success. Positive AI perceptions were found to enhance motivation by increasing interest in innovative learning tools and fostering engagement through interactive AI‐based learning environments. Moreover, these perceptions were predictive of higher motivation, engagement and learning success. The study suggests that AI can play a crucial role in enhancing educational outcomes by making learning more interactive, personalised and engaging, thus improving overall student performance and creativity in music education.

Influence of Distraction Factors on Performance in Laparoscopic Surgery in Immersive Virtual Reality: Study Protocol of a Cross-Over Trial in Medical Students and Residents-DisLapVR.

Working in an operating room (OR) is physically and mentally challenging: the operation itself demands the surgeon's full attention, while time and cost efficiency constraints, daily planning, and emergency care interfere with the procedure. Thus, multitasking becomes an integral surgical competence. This study aims to examine the effect of disruptions during surgery in a highly immersive virtual reality (IVR) operation environment combined with a virtual reality (VR) laparoscopy simulator. This study aims to identify distractions in the OR and their importance in the clinical setting. An IVR environment was created using a high-resolution, stereoscopic 360° video of the OR. Different distractions were identified, classified as auditory, visual, or audio-visual, and recorded accordingly. The surrounding was combined with a VR laparoscopic simulator. Participants-medical students and surgical residents-received proficiency-based training in basic laparoscopic skills and were blinded to the aim of the experiment. Following a cross-over design, each participant received a unique order of virtual distraction factors while performing tasks on the laparoscopic simulator. During the experiment, subjective passing of time, stress, heart rate, and visually induced motion sickness are recorded. After the experiment, validated questionnaires for usability, immersion, and stress were completed, as well as subjective evaluation of the distractions. The questionnaires used included the system usability scale, Self-Assessment Manikin score, National Aeronautics and Space Administration Task Load Index, and the immersion rating scale as described by Nichols. Performance in the laparoscopic tasks in relation to distractions will be evaluated by the Wilcoxon test and ANOVA for continuous variables. Subgroup analyses in regard to age, gender, and expertise (medical students vs surgical residents) are planned. The described trial started in August 2022 and is ongoing. By July 2024, a total of 30 medical students and 9 surgeons have completed the study. We present a study protocol aiming to identify the impact of different disruptions in OR during laparoscopic training in IVR. Hence, it may lead to an improved awareness of distractions and facilitate accommodations toward an improved work environment. Prior research leads to the hypothesis that the performance of a more experienced surgeon is less impacted by distractions than the performance of inexperienced surgeons and medical students. Furthermore, we investigate which type of distraction has the largest impact on performance. With this knowledge, specific multitasking training can be devised, which may be particularly useful in medical education, for which VR might play a leading role. Additionally, workplace surroundings in the OR can be optimized with this knowledge. German Registry for Clinical Trials DRKS00030033; https://drks.de/search/en/trial/DRKS00030033. DERR1-10.2196/59014.

Application of the online teaching model based on BOPPPS virtual simulation platform in preventive medicine undergraduate experiment.

As online teaching gains prevalence in higher education, traditional face-to-face methods are encountering limitations in meeting the demands of medical ethics, the availability of experimental resources, and essential experimental conditions. Consequently, under the guidance of the BOPPPS (bridge-in, objective, preassessment, participatory learning, postassessment, summary) teaching model, the application of virtual simulation platform has become a new trend. The purpose of this study is to explore the effect of BOPPPS combined with virtual simulation experimental teaching on students' scores and the evaluation of students' participation, performance and teachers' self-efficacy in preventive medicine experiment. Students from Class 1 and Class 2 of 2019 preventive medicine major in Binzhou Medical University were selected as the research objects. The experimental group (class 2) (n = 51) received the teaching mode combined with BOPPPS and virtual simulation platform, while the control group (class 1) (n = 49) received the traditional experimental teaching method. After class, the experimental report scores, virtual simulation scores, students' engagement scale (SES), Biggs questionnaires, and teachers' sense of self-efficacy (TSES) questionnaires were analyzed. The experimental report results demonstrated a significant increase in the total score of the experimental group and the scores of each of the four individual experiments compared to the control group (P < 0.05). To investigate the impact of the new teaching model on students' learning attitudes and patterns, as well as to evaluate teachers' self-efficacy, a questionnaire survey was administered following the course. The SES results showed that students in the experimental group had high performance scores on the two dimensions of learning methods and learning emotions (t = 2.476, t = 2.177; P = 0.015, P = 0.032). Furthermore, in the Biggs questionnaire, the total deep learning score of the experimental group was higher than that of the control group (t = 2.553, P = 0.012), and the deep learning motivation score of the experimental group was higher than that of the control group (t = 2.598, P = 0.011). The TSES questionnaire shows that most teachers think it is easier to manage students and the classroom and easier to implement teaching strategies under this mode. The combination of BOPPPS and the virtual simulation platform effectively enhances the experimental environment for students, thereby improving their academic performance, engagement and learning approach in preventive medicine laboratory courses.

Comparing attendance versus exam performance for topics within first year physics courses

Abstract This paper revisits the relationship between lecture attendance and final exam performance of students attending first year Advanced Physics classes at The University of Newcastle. The results compare attendance to non-attendance for topics within the Advanced Physics courses and indicate that, on average, students attending lectures always score higher than students not attending with variations on the size of this effect depending on topic such that the gap is generally larger for topics not covered in secondary school. This correlation may indicate the importance for students to attend classes covering new material.

Construction of Student Performance Prediction Model Based on Data Mining and Optimized RBF neural Network

Construction of Student Performance Prediction Model Based on Data Mining and Optimized RBF neural Network

THE IMPACT OF AI ON TEACHERS: SUPPORT OR REPLACEMENT?

The article explores the growing role of AI in education, analyzing whether it serves as a supportive tool for teachers or poses a threat to their jobs. AI can automate routine tasks such as grading and administrative work, freeing up teachers’ time for more meaningful activities like personalized student interaction and lesson planning. Additionally, AI-powered tools enhance data-driven teaching, providing teachers with valuable insights to improve student performance and offer individualized support. While AI offers significant advantages, the article emphasizes that it cannot replace the human qualities essential to teaching, such as emotional intelligence, empathy, and creativity. These are areas where AI falls short, making it unlikely to fully replace teachers. Instead, AI allows teachers to evolve their roles from traditional instruction to mentorship and guidance, focusing on fostering critical thinking and creativity in students. However, there are concerns that AI could reduce teaching jobs or fundamentally change the role of educators. Teachers may also resist AI due to fears of job displacement or lack of sufficient training to use these technologies effectively. The article concludes that AI, when used responsibly, acts as a valuable partner rather than a replacement. By taking over repetitive tasks, AI enables teachers to concentrate on more impactful educational activities, ensuring that the human element remains at the heart of learning.

Students’ performance in clinical class II composite restorations: a case study using analytic rubrics

BackgroundThe analytical rubric serves as a permanent reference for guidelines on clinical performance for undergraduate dental students. This study aims to assess the rubric system used to evaluate clinical class II composite restorations performed by undergraduate dental students and to explore the impact of gender on overall student performance across two academic years. Additionally, we investigated the relationship between cumulative grade point averages (CGPAs) and students’ clinical performance.MethodsAn analytical rubric for the assessment of clinical class II composite restoration in the academic years of 2022/2023 and 2023/2024 was used by two evaluators. These two evaluators were trained to use the rubric before doing the evaluations. The scores were based on a 4-point scale for the evaluation of five major parameters for pre-operative procedures (10 points), cavity preparation (20 points), restoration procedures (20 points), and time management (4 points). At the same time, chairside oral exam parameter was 15 points based on a 5-point scale. Descriptive statistics were calculated for the different analytical rubric parameters, and the independent t-test was used to compare the scores between the student groups and the evaluators. Other tests, such as the Kappa test and Pearson’s correlation coefficient, were used to measure the association among CGPA, evaluators, and gender participants.ResultsThe overall score out of 69 slightly increased for females/males (61.28/59.42) and (61.18/59.49) in the 2022/2023 and 2023/2024 academic years, respectively, but the differences were not statistically significant. In the 2022/2023 academic year, female students scored significantly higher than male students in pre-operative procedures, as evaluated by both evaluators (p = 0.001), and in time management, as assessed by both evaluators (p = 0.031). The Kappa test demonstrated a moderate to substantial level of agreement between the two evaluators in both academic years. Strong and significant correlations were noted between students’ CGPA and some tested parameters (p = 0.000).ConclusionThe overall performance was very good and high among both genders, but it was marginally higher among females than among males. This study found some differences in performance between male and female students and variability in the evaluations by the two raters ranging from moderate to substantial agreement and similar performances for students with different CGPA.

Predicting Physics Students’ Academic Performance: The Impact of Attitude, Self-Efficacy, and Personality Traits

The study examined the predictive impact of attitude, self-efficacy, and personality traits on the academic performance of high school students in physics. A multistage random sampling technique was used to select 210 research subjects between the ages of 16 and 22 (SD=1.80) from three high schools in the Berekum East Municipality of Ghana. Three standardised questionnaires as primary data sources, namely: Attitude Toward Physics Learning (ATPL), Physics Learning Self-Efficacy (PLSE), and Students’ Personality Trait Inventory (SPTI), and additionally, Students’ Physics Mock Examinations scores as a secondary data source, were used for data collection and analysis through multiple regression. Data collected from respondents were compiled, sorted, edited and coded into the Statistical Package for the Social Sciences (SPSS) version 23. The results revealed a joint impact of 21.100% of the variance in attitude, self-efficacy, and personality traits in predicting the academic performance of students in physics. Furthermore, the multiple regression analysis revealed that student attitudes, self-efficacy, and personality traits significantly impact student academic performance in physics. The analysis further revealed that students’ personality traits best explained students’ academic performance in Physics (β = 0.232, t = 3.423; p &lt; 0.050), followed by self-efficacy (β = 0.192, t = 2.738; p &lt; 0.050), and attitude (β = 0.121, t = 2.011; p &lt; 0.05). Based on the results obtained, the study recommended that physics students in the Berekum East Municipality’s attitudes, self-efficacy, and personality traits should be given greater attention by physics teachers, and other stakeholders because of their positive impact on students’ academic performance in physics.

Question Embedding on Weighted Heterogeneous Information Network for Knowledge Tracing

Knowledge Tracing (KT) aims to predict students’ future performance on answering questions based on their historical exercise sequences. To alleviate the problem of data sparsity in KT, recent works have introduced auxiliary information to mine question similarity, resulting in the enhancement of question embeddings. Nonetheless, there remains a gap in developing an approach that effectively incorporates various forms of auxiliary information, including relational information (e.g., question-student , question-skill relation), relationship attributes (e.g., correctness indicating a student's performance on a question), and node attributes (e.g., student ability ). To tackle this challenge, the Similarity-enhanced Question Embedding (SimQE) method for KT is proposed, with its central feature being the utilization of weighted and attributed meta-paths for extracting question similarity. To capture multi-dimensional question similarity semantics by integrating multiple relations, various meta-paths are constructed for learning question embeddings separately. These embeddings, each encoding different similarity semantics, are then fused to serve the task of KT. To capture finer-grained similarity by leveraging the relationship attributes and node attributes on the meta-paths, the biased random walk algorithm is designed. In addition, the auxiliary node generation method is proposed to capture high-order question similarity. Finally, extensive experiments conducted on 6 datasets demonstrate that SimQE performs the best among 10 representative question embedding methods. Furthermore, SimQE proves to be more effective in alleviating the problem of data sparsity.

The Influence of Artificial Intelligence Tools on Student Performance in e-Learning Environments: Case Study

This study investigated the impact of AI-powered personalized learning tools on the academic performance and perceptions of pre-service student teachers enrolled in the Educational Technology course, a compulsory component of the Professional Postgraduate Diploma in Teaching program at Ajman University. A quasi-experimental design was employed with 55 students in the experimental group and 55 in the control group. The experimental group utilized AI-powered tools within the Moodle platform, while the control group received traditional instruction. Pre- and post-tests, along with a rubric-based assessment and a questionnaire, were administered to assess performance, knowledge retention, critical thinking, motivation, and engagement. Statistical analysis revealed significant differences between the groups, favoring the experimental group in terms of academic performance and knowledge retention. Additionally, students in the experimental group demonstrated higher levels of critical thinking, motivation, and engagement. These findings underscore the transformative potential of AI-powered personalized learning tools in teacher education. By integrating AI into educational practices, institutions can revolutionize e-learning by providing personalized instruction, intelligent tutoring, automated grading, and adaptive learning experiences. This can enhance student engagement, improve learning outcomes, and reduce the workload of educators. Ultimately, AI empowers institutions to create more effective and inclusive learning environments that cater to the diverse needs of students and prepare them for the future.

Enhancing multimodal output in CLIL education: the impact of VR games on fourth-grade students’ English poster designs and presentations in Taiwan

Despite the growing recognition of the importance of multimodal input and digital virtual reality (VR) games in enhancing EFL learners’ productive language skills, a significant gap remains in empirical research examining their impact on multimodal output—particularly writing and speaking—within content and language integrated learning (CLIL) science education. This quasi-experimental study addresses this gap by investigating the potential benefits of using VR games to enhance fourth-grade CLIL students’ productive language skills, specifically writing and speaking, through the analysis of their ability to convey scientific concepts in multimodal output. Grounded in self-regulated learning (SRL) theory, the study compares the effects of multimodal input embedded in VR games with those of traditional PowerPoint (PPT)-led games on students’ English poster designs (writing) and oral presentations (speaking), using the 4Cs (Content, Communication, Cognition, and Culture) framework in multimodal assessments. The study involved 81 fourth-grade students from three Taiwanese public elementary schools, divided into an experimental group (EG = 40) using VR-based games and a control group (CG = 41) using PPT-led games for content review. A mixed-methods approach was employed, combining quantitative evaluations with rubrics based on the 4Cs framework and qualitative rater reflections to provide a comprehensive understanding of how different review methods influenced student performance and creative output. Quantitative findings revealed that students using VR review games significantly outperformed those using traditional PPT games in aspects of Content and Cognition for both poster designs and presentations, demonstrating greater depth, accuracy, and application of scientific concepts and higher-order cognitive skills. In terms of Communication, the EG showed higher target vocabulary usage and sentence complexity in presentations, but no significant differences were found in Culture outcomes between the groups or in Communication in posters. Expert raters’ reflections further highlighted that students using VR games exhibited more innovative and integrated use of scientific content, critical thinking, and multimodal expressions, reflecting deeper engagement with the material. This study empirically demonstrates that game-based virtual reality learning environments (VRLEs) significantly enhance students’ multimodal output in content and cognitive skills. Theoretically, it extends the application of SRL in CLIL contexts by highlighting the potential of VRLEs to foster advanced cognitive skills and emphasizes the importance of multimodal assessments in capturing comprehensive student learning outcomes. Future research should explore integrating cultural content into VR environments to enhance students’ cultural awareness and sensitivity.

Influence of Teaching and Learning Resources Provided by BOM on Students’ Academic Performance in Public Secondary Schools of Kisii Central Sub County, Kenya

Despite interventions by policymakers and implementers in instituting BOM so as to ensure the delivery of quality education in Kenya, performance in some schools has remained poor. According to the Sub County director of education, Kisii has witnessed very poor performance in the Kenya Certificate of Secondary Education (KCSE) examination over the years. To address the situation, the Kisii Central County Education office conducted workshops to capacity-build the BOM members from the entire County in relation to their roles in schools. It was for this reason that the study was to establish the influence of board of management practices on students’ academic performance in public secondary schools of Kisii Sub County. The study adopted a descriptive survey design. The target population consisted of 53 public secondary schools in Kisii Central Sub County with 53 principals, 391 teachers, 689 members of the Board of Management, and 14,776 students. The sample size comprised 44 secondary school principals, 44 assistant teachers, 42 students and 248 members of the Board of Management. This constituted a total sample size of 378 respondents. Data was collected through self-administered questionnaires as well as through interview schedules for the BOM members. A pre-test of the instruments was conducted in three schools using 38 respondents constituting 10% of the study sample. Quantitative data was analyzed using descriptive statistics (frequency counts, the mean, and standard deviation) and inferential statistics (correlation) by employing SPSS version 21.0 and excel computer packages. Qualitative data was organized into themes, and categories as they emerged from the field and presented in narrative form. The analysis of results revealed that teaching and learning resources, staff recruitment and incentives positively and significantly influence the academic performance of students in secondary school. The study recommended that in order to improve the academic performance of students in secondary schools, the BOM should ensure that they provide enough teaching and learning materials to schools to guarantee the performance of students in their academics, recruit competent teachers to improve the teacher-student ratio which is a necessary measure in improving the performance of students in academics, establish the most appropriate method of appreciating teachers and students so as to motivate them to work positively toward improving the academic performance of students

The effects of implicit ethnic expectations and burnout on teachers’ evaluations of students’ performance

ABSTRACT This study explores the effects of teachers’ implicit ethnic expectations and burnout on their evaluation of student performance. Ethnic minority students frequently encounter disadvantages in education, which may be partly attributed to these factors related to teachers. During the academic year of 2021/2022, 55 teachers from a central region of Italy took part in the study, including 20 preservice teachers. The Maslach Burnout Inventory was used to measure teacher burnout, and the Relational Responding Task was utilised to assess teacher implicit beliefs about students’ achievement. A linear mixed-effects model was used to examine the relationship between teachers’ burnout, implicit expectations, and their evaluation of students. Results showed that teachers’ burnout was negatively associated with teachers’ evaluations of ethnic majority and ethnic minority students, regardless of their performance level. Additionally, results suggest that teachers’ implicit expectations may negatively influence their evaluations of ethnic minority students, even when those are high achieving. These findings highlight the need to further investigate the role of teachers’ stereotypical implicit expectations and burnout in their evaluation process. Future interventions should explore strategies to address these biases and promote more equitable evaluation practices.

Teacher’s Gender-Biased Attitude on Female Students Performances in Science Subjects in Secondary Schools in the Kumba Municipality

Purpose: The purpose of this study is to examine the influence of teachers gender-biased attitude on female students performance in science subjects. Materials and Methods: It was a survey study using three sets of questionnaire, Data were obtained form 172 parents, 298 students and 79 science teachers in Kumba Municipality. Descriptive and inferential statistical techniques were applied to obtain percentages, bar charts, means, standard deviation, x2 – and Z- values. Findings: The data analysis showed that teachers attitudes towards the female students tend to affect these students’ achievements in science subjects. More of the female students (38 out of 49) who said teachers had positive attitudes passed than those who said teachers attitudes were negative (7 out of 97). Implications to Theory, Practice and Policy: Based on the results, the researcher recommends that; Teachers should be aware of the differences boys and girls bring to the learning of science, girls should be encouraged to observe female role models in science careers and strive to be like them.

Science interdisciplinary learning approach: a study interdisciplinary thinking skills and literacy environment

The formation of environmental literacy in the education system through education for sustainable development (EfSD) experiences many obstacles. The aim of the research is to analyze the impact of interdisciplinary science learning for interdisciplinary oriented education for sustainable development to improve interdisciplinary thinking and environmental literacy of prospective teachers. The experimental method with a quasi-experimental pretest posttest group design was used in this study. The data collection technique used is an environmental literacy questionnaire and an interdisciplinary thinking test. Data analysis technique used independent t test. The results obtained were that the science interdisciplinary learning effective in improving interdisciplinary thinking performance and environmental literacy. The performance of students’ interdisciplinary thinking affects environmental literacy of students. The university forms student teacher candidates who have the ability to think interdisciplinary so that they can manage science learning in an interdisciplinary and environmentally literate manner. The implication of this research is the importance of fostering interdisciplinary thinking and environmental literacy at all levels of education.

Efficacy of 15-minute music intervention on nursing students' anxiety, self-efficacy, and performance in simulation testing: A randomized study

BackgroundAnxiety can negatively impact nursing students' confidence and performance during simulation-based training, leading to suboptimal learning outcomes. SampleThe study included 102 prelicensure Bachelor of Science in Nursing (BSN) students. The participants (µage = 21.72, SD = 3.14), mostly female (n = 85, 83.33%) and Caucasian (n = 67, 65.69%), were randomized into control (n = 51) and experimental (n = 51) groups. MethodParticipants in the control group prepared for simulation as they usually would, while those in the experimental group listened to 15-minutes of classical music before their simulation sessions. Anxiety, self-efficacy, and instructor-assigned performance ratings during the simulation were evaluated. ResultsThe experimental group experienced significantly lower anxiety, increased self-efficacy, and higher performance scores compared to the control group (p-values < .001 for all measures). ConclusionThese results suggest that a 15-minute music-listening intervention could effectively reduce anxiety, boost self-efficacy, and improve performance during simulation-based training.

The effects of free tuition policy on university academic performance in Chile

AbstractIn 2016 Chile initiated a policy of free tuition for students from families in the lower half of the income distribution to improve access to and completion of higher education. The empirical effectiveness of the policy has not yet been completely demonstrated. This study analysed the difference in levels of academic performance of students enrolled in 12 Chilean universities with and without free tuition. The study used a regression discontinuity design with a running discrete variable locally randomised. The results show that the academic performance of students receiving free tuition was equivalent to that of students paying the full cost. There was no difference in the course pass rate of those with or without free tuition. Over time the effects of the policy could reduce inequality in the professional labour market. In addition, the study suggests that there may be complementary practices that further improve university student achievement and completion rates.

A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction

A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction

PARENTAL INVOLVEMENT AND STUDENT ACADEMIC PERFORMANCE IN SECONDARY INCLUSIVE SCHOOLS IN RWANDAA CASE OF GASABO

The study aimed to investigate the influence of parental involvement on performance of students with diverse learning needs in inclusive settings in secondary schools in Gasabo District-Rwanda. Specifically, the research sought to assess the influences of parent-school communication on students performance in secondary schools in Gasabo District, Rwanda to examine the influence of parents participation on students performance in secondary schools in Gasabo District-Rwanda and to determine the influences of parent-home assistance on students performance in secondary schools in Gasabo District, Rwanda The research used the descriptive survey design with quantitative and qualitative methods of data collection and analysis. The study populationwas made up of 1,918 people from which a sample size of 331 was drawn using the Yamane formula including 302 teachers, 8 head teachers, and 21 parents. The researcher adopted purposive sampling to select both teachers and head teachers of secondary schools, and convenient sampling to select parents. This study used questionnaire given to teachers, Focused group discussions (FGDs) given to parents whose children are disabled and interview guide given to head teachers. The information was analyzed using frequency, percentage, mean and standard deviation and correlational analysis. The results showed that there is a statistically significant relationship (r = .793, p &lt; .01) between Parent-School Communication and students academic performance in secondary inclusive schools in Gasabo District. This also implies an association between the effect of parental involvement and students academic performance in secondary inclusive schools in Gasabo District. Furthermore, according to the findings, there is a strong positive correlation (r = .815, p &lt; .01) between Parent-participation and students academic performance in in secondary inclusive schools in Gasabo. This indicates that students who engage in regular academic practice are more likely to retain the information they learn. Finally, the results indicate that there is a moderate to strong positive correlation (r = .935, p &lt; .01) between parent-home assistance and students academic performance in in secondary inclusive schools in Gasabo. The researcher recommends several key strategies to address the issue of parental involvement in Rwanda. These include parent participation in school events and decision-makingprocesses, implement structured communication channels between the school and parents, establish clear guidelines and frameworks for schools to foster effective parental involvement in secondary inclusive schools. The researcher suggests exploring how teacher training and professional development can better prepare educators to engage parents in the education of their children.