Average Mark Research Articles

Using Generative AI to Identify Arguments in Judges’ Reasons: Accuracy and Benefits for Students

This study evaluates the effectiveness of generative artificial intelligence (GAI) in identifying and reconstructing legal arguments from judges’ reasons in court cases, focusing on the practical implications for law students and legal educators. By examining the performance of two versions of popular Large Language Models – ChatGPT and Claude – across five recent High Court of Australia decisions, the study makes a preliminary assessment of the accuracy of LLM systems in replicating a skill essential for lawyers: identification of arguments and argument chains in judges’ reasons. The methodology involves marking LLM-generated outputs with reference to both a sample answer and a detailed rubric. Key findings reveal a significant variance in the accuracy of different LLMs, with Claude 3.5 markedly outperforming all others, achieving average grades up to 90 per cent. In contrast, ChatGPT versions demonstrated lower accuracy, with average marks not exceeding 50 per cent. These results highlight the critical importance of selecting the right GAI system for legal applications, as well as the necessity for users to critically engage with AI outputs rather than relying solely on automated tools. The study concludes that while LLMs hold potential benefits for the legal profession, including increased efficiency and enhanced access to justice, for GAI use that may be carried out by a law student, the technology cannot yet replace the nuanced human skill of legal argument analysis.

A teamwork framework for preventing breaches of academic integrity and improving students’ collaborative skills in the AI era

Generative artificial intelligence (AI) tools have become a major challenge in the education sector in terms of the way that students use and manage them. This study examines the development, implementation, and evaluation of a teamwork framework by using academic integrity standards and formative feedback to minimise the use of generative AI tools in the Business Project Management (BPM) unit and promote students' learning skills through teamwork and self/peer evaluation. This teamwork assessment was designed to transform students into independent learners by improving their cultural awareness, self-confidence, teamwork, communication, leadership, as well as personal and interpersonal skills. The study's objectives are to determine whether a teamwork framework can help to maintain academic integrity and transform BPM students into independent learners and leaders in the era of generative AI, and to determine whether lecturers' formative feedback enhances students' skills in teamwork assessment. This research comprises an empirical study of 408 local and international BPM students from different cultural backgrounds. A mixed-methods approach was used to collect data and achieve a broader perspective of the research topic. BPM students reported their satisfaction with this type of assessment since it helped them acquire skills such as intercultural effectiveness and teamwork. Following the implementation of the teamwork framework, the number of instances of academic misconduct and requests for extensions have decreased dramatically, while the assessment's average marks increased by 10 %. A set of recommendations is offered that will ensure the successful implementation of the proposed framework for teamwork assessment and self/peer evaluation. This study was limited to the Business Project Management unit, but in 2024, the same study will be conducted involving other postgraduate units at Curtin University with a future rollout in other universities to compare how students perceive teamwork assessment.

Supplementing an Epidemiology Course with Online Lectures

Background: Online distance education is proving to be an effective pedagogical vehicle for enhancing learning outcomes of medical students. Epidemiology is a subject area underexplored as an appropriate content area for online delivery. We sought to determine whether online epidemiology videos were an effective companion teaching tool that could result in measurable improvements in student performance. Methods: In partnership with the Lecturio Corporation in Germany, an online Epidemiology class created, featuring 11 recorded lectures tailored to the USMLE medical licensing requirements. Free access to the lectures was offered to the students of a 4th year undergraduate Epidemiology course at the University of Ottawa. Improvements in this group from the midterm examination baseline to the final examination performance were assessed relative to improvements experienced by students who did not watch the videos. Results: Students who watched the videos saw their average mark increased by 1.2%, while the mark in the control group decreased by 2.6%, though this difference was not statistically significant. Qualitative comments were universally positive with respect to the instructional usefulness of the videos. Conclusions: Augmenting traditional university epidemiology courses with an online video component is an effective strategy that can result in improved student learning outcomes, though further research is needed to determine how best to deploy such tools either in isolation or in partnership with in-person instruction.

Determinants of Viewing Kana Television Program on Students' Academic Performance in Jigjiga Town Preparatory School

Globalization gave rise to television, a significant source of instructional enrichment. It offers more comprehensive, advanced, and varied knowledge and instruction. Television has received a lot of flak for having a detrimental effect on secondary school pupils' academic achievement. Watching television could start to compete with studying time and eventually lead to poorer academic achievement. In this study, our aim was to identify the determinants of viewing Kana television programs on academic performance. To meet the objective, of the 1658 students, 138 were selected as a sample by using stratified random sampling. We gathered information from the sample of students by using primary and secondary data collection methods. Multiple linear regressions were used for data analysis, considering academic performance (the average mark after watching Kana TV) as the response variable. According to the descriptive statistic, 46.4% of students are males, and the remaining 53.6% are females because the total population of females is higher than males. 51.4% of students live in urban areas, and the remaining 48.6% live in rural area. 60.9% of students have access of satellite television and 39.1% of students have no access to satellite television. The major significant factors that affect the academic performance of students are age, religion, income, parent’s follow-up (father’s follow-up), access to satellite television, addiction to Kana television programs, and time spent.

Evaluating the Academic Benefits of Clinical Legal Education: An Analysis of the Final Average Marks of Five Cohorts of LSBU LLB Graduating Students, 2011-2015

This article seeks to contribute to the ongoing pedagogic debate about the aims and benefits of clinical legal education and to do so using a quantitative methodology. It is the result of a collaborative project within the School of Law & Social Sciences at LSBU, researching whether placements in our Legal Advice Clinic have had any positive impact on Law students’ academic performance. We have analysed the academic results[1] of five cohorts of LLB full-time undergraduates, those graduating from 2011 to 2015,[2] to see whether students who volunteered in our Legal Advice Clinic achieved better grades than those who didn’t. Generally, they do. However, given the fact that places at the clinic are limited and recruitment is selective and to try and eliminate the possibility that the most academically successful students are the most likely to volunteer and be selected, we have controlled for first year average results. Even so, it appears that students who achieve similar grades in their first year are likely to get slightly better final grades, just under 2% better, if they volunteer in our Legal Advice Clinic in their second year. [1] We would like to thank Dr Bond’s Post-graduate student, Joshua Freeman-Birch, who undertook the long hours of date entry to code the results of five cohorts of LLB law students results, to allow the research to be conducted. [2] Unfortunately, writing up our research has taken longer than we hoped. Conducting the data analysis and the impact of COVID are the two main reasons.

Higher adherence to the Mediterranean Diet is associated with better academic achievement in Spanish university students: A multicenter cross-sectional study

The objective was to assess the association of the overall score and different items of the Mediterranean Diet Adherence Screener (MEDAS) questionnaire with academic achievement in Spanish university students. We hypothesized that university students with greater adherence to the Mediterranean Diet (MedDiet) would have better academic achievement. A cross-sectional study was performed involving 266 first-year students from the University of Castilla-La Mancha, Spain, during the 2017–2018 academic year. Adherence to the Mediterranean diet was evaluated with the 14-item MEDAS questionnaire. As an indicator variable for academic achievement, the average marks of the examinations required for access to Spanish universities were used. A total of 63 participants (23.6%) adhered to MedDiet recommendations. Analysis of covariance models showed that participants with higher adherence to the MedDiet had significantly higher scores on academic achievement than their peers with low adherence (P < .001) after controlling for potential confounders. Additionally, the evaluation of each item of the MEDAS questionnaire showed that a diet rich in olive oil, vegetables, fruits, legumes, fish and shellfish, and a low consumption of sweets and carbonated beverages were positively associated with academic achievement; nevertheless, wine intake was inversely associated. This study showed that Spanish university students had a low prevalence of good adherence to the MedDiet. Additionally, our results suggested that higher adherence to the MedDiet is associated with better academic achievement in Spanish university students. From a public health perspective and because of low adherence, it is important to continue to focus on promoting adherence to the MedDiet as part of a healthy lifestyle pattern to improve the academic performance of young university students.

Causes and outcomes of at-risk underperforming pharmacy students: implications for policy and practice

ObjectiveThis study aimed to understand the key determinants for poor academic performance of students completing a Bachelor of Pharmacy (BPharm), Bachelor of Pharmacy and Management (BPharmMgmt), or Master of Pharmacy (MPharm) degree.MethodsData were collected on pharmacy students who had not met academic progression requirements between 2008 and 2018 at The University of Sydney, Australia. This included: age at the start of pharmacy degree; gender; whether they transferred from another university; whether they were a domestic or international student; Australian Tertiary Admissions Rank upon entry, previous studies in biology, chemistry, or mathematics; show cause triggers (units of study failed); number of show causes; students’ written show cause responses; weighted average mark at last show cause or graduation; whether they graduated and were a registered pharmacist; and, the number of years they spent studying the degree. Descriptive studies were used to analyse student characteristics using SPSS software, and student self-reported reasons for poor performance were analysed reflexively using thematic analysis procedures using NVivo.ResultsThis study included 164 pharmacy students enrolled in a BPharm (79.3%, n = 130), BPharmMgmt (1.2%, n = 2), or MPharm (19.5%, n = 32). Of the students, 54% (n = 88) were men, 81% (n = 133) were domestic students, 15% (n = 24) transferred from another degree program, and 38% (n = 62) graduated from the course. Show cause students were less likely to graduate if they transferred from another degree program (P = 0.0002) or failed more than three units of study (UoS; P < 0.0001). The most commonly failed UoS were related to organic or pharmaceutical chemistry, and the top student self-reported reasons for poor performance was stress/anxiety, physical health, and depression.ConclusionPharmacy schools should aim to address student foundational knowledge in chemistry, identify at-risk students early using pre-subject testing, and provide better services to address student mental health.

Comparative evaluation of open book and conventional assessment methods in medical undergraduate students.

Medical science is a dynamic field of knowledge that is constantly broadening with upcoming clinical research and analysis. Traditional medical education has been focused on textbook-based recall assessments-closed book assessment (CBA). However, the availability of newer technologies has made the accessibility to encyclopedic knowledge expeditious, which demands for a new approach for medical education. As medical professionals, the purpose of learning should be higher cognitive skills such as interpretation and synthesis. So, analyzing students' ability to comprehend the concepts and learning to apply it in a realistic context than merely recalling the facts has come into attention. In this study, we aimed to evaluate and compare the performance of 250 first-year MBBS students at Maulana Azad Medical College, New Delhi, India, between closed book and open book method for biochemistry. Students were divided into two groups, Group A and Group B, based on their average monthly internal assessment marks. CBA was followed by open book assessment (OBA) 1 week apart with similar questionnaire pattern and allotted time. A significant difference in average marks obtained by the two groups was observed in CBA. Group A scored better in CBA, but performance was comparable with Group B in OBA. OBA and CBA can contribute to an assessment program in part because of their complementary pros and cons, and OBA should not be thought of as an alternative to CBA, but their value may be in expanding beyond what is measured by CBA.

Half-baked essays: the embedded use of writing exemplars to encourage active learning for radiography students

This paper discusses the implementation of exemplar essays within an undergraduate first-year diagnostic radiography module to encourage active learning and the development of academic literacies. Nine essays (~400 words each) were provided over six sessions, using lecturer-guided discussion to explore the academic virtues and pitfalls demonstrated alongside assessment criteria. Exemplars were based upon a fictitious baking profession to illicit student interest and eliminate the risk of imitation or plagiarism. The quality of essays varied, with overt examples of common mistakes in spelling, essay structure and selection of appropriate literature. Upon completion of the sessions, and prior to summative assessment, students were surveyed with regard to their opinion of the teaching intervention. Feedback was obtained from 65% of the cohort (n=31/48), who reported an improvement in essay writing confidence. Students found the marking of the essays in class useful and the baking analogy was well received. Not all students found the classroom activities engaging though, with some wishing greater interactivity due to boredom and repetition. Furthermore, there was a slight reduction in pass rates and average marks across the cohort when compared to the previous module delivery. Nevertheless, there was a substantial increase in students attaining marks of 80% or more. This study highlights exemplar essays as a low-tech, low-cost option to increase assessment literacy but accepts the wide diversity in student learning preferences and experience. The efficacy of exemplar essays cannot be guaranteed, and teaching staff must be cognisant of individual student learning needs.

Using the Lattice Method to help Basic Six (6) Pupils of Zogbeli Primary School in Ghana to understand the Concept of Multiplying Multi-digit Multiplicands

This study emerged as a result of the inability of Basic Six (6) at Zogbeli Primary School pupils in Tamale, Northern Region Ghana to understand the concept of multiplying multi-digit multiplicands. To address this problem, the action research methodology was used to provide an immediate solution. A simple random sample of 45 pupils from a total of 90 pupils of a mixed class of P.6A and P.6B was chosen to participate in the study. A Pre-test consisting of 10 test items was administered to assess the pupils’ initial understanding of the concept. The results showed that the majority of the pupils scored poorly, with a mean score of 1.51 and a standard deviation of 0.91. An intervention using the lattice method for five days was then implemented. The lattice method is a hands-on learning method that involves both physical movement and mental engagement. It was hypothesized that this method would help the pupils to develop a deeper understanding of the concept of multiplying multi-digit multiplicands. After the three-day intervention, a Post-test was administered to assess the pupils’ understanding of the concept of multiplying multi-digit multiplicands and also to assess how effective the intervention was in the study. The results showed a significant improvement, with a mean score of 8.11 and a standard deviation of 2.54. Additionally, 93.4% of the pupils scored above the average mark of 5. The findings of this study suggest that lattice technology is an effective method for teaching the concept of multiplying multi-digit multiplicands. This method is engaging and easy to understand, and it can help pupils develop a deeper understanding of the mathematical concepts involved. In conclusion, the use of lattice technology has improved the learning experiences of Basic Six pupils at Zogbeli Primary School. Pupils now have a practical method for solving multi-digit multiplication problems, and they have a better understanding of the mathematical concepts involved. Keywords: Action Research, Pre-test, Post-test, Paired Sample t-test, Lattice technology

Assessment of Level of Knowledge Regarding Adult and Child Cardiopulmonary Resuscitation among Paramedical Students

Cardiac arrest is the life threatening condition and common emergency that is caused by sudden cessation of circulation leading to death of an individual. Cardiopulmonary resuscitation (CPR) is the foundational technique for emergency treatment of cardiac arrest. The main aim of the survey was to assess the level of knowledge regarding adult and child cardiopulmonary resuscitation among paramedical students. The study was conducted on 60 paramedical students by using stratified probability sampling technique in selected college of Greater Noida. Demographic variables, structured questionnaire tool used for conducting the study. Data were analyzed with the help of Statistical analysis of knowledge score. Descriptive statistics (mean and standard deviation). Inferential Statistics Chi square for association. Data showed that the majority of Paramedical students scored average marks i.e., 37(61.66%) whereas the minority scored excellent i.e., 2(3.33%). Hence, it was interpreted that the most of the Paramedical students had got average score with the mean value of 77.7and standard deviation was 22.15.

Development of Ethnoscience-Based Science Education Module Using a Case Based Learning Model

This research is a research and development (R&amp;D) study using the 4- D model. The research aims to produce valid a integrated ethnoscience science education module using a case based learning model. The data sources consisted of three expert validators who used validity instruments with four indicators (structure, organization of material, language, and appearance). The research data were analyzed using a quantitative descriptive method. Test the validity of the learning tool using score validation analysis. The results of the validity test show that the average score validation for structure module is 3.89 with a very valid category, for the material's organization it is 3.66 with a very valid category, for the language it is 3.67 with a very valid category, and for the appearance it is 3.73 with a very valid category. With a very valid category, the overall average mark validity is 3.74.

GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors

Traditional Korean medicine (TKM) emphasizes individualized diagnosis and treatment. This uniqueness makes AI modeling difficult due to limited data and implicit processes. Large language models (LLMs) have demonstrated impressive medical inference, even without advanced training in medical texts. This study assessed the capabilities of GPT-4 in TKM, using the Korean National Licensing Examination for Korean Medicine Doctors (K-NLEKMD) as a benchmark. The K-NLEKMD, administered by a national organization, encompasses 12 major subjects in TKM. GPT-4 answered 340 questions from the 2022 K-NLEKMD. We optimized prompts with Chinese-term annotation, English translation for questions and instruction, exam-optimized instruction, and self-consistency. GPT-4 with optimized prompts achieved 66.18% accuracy, surpassing both the examination’s average pass mark of 60% and the 40% minimum for each subject. The gradual introduction of language-related prompts and prompting techniques enhanced the accuracy from 51.82% to its maximum accuracy. GPT-4 showed low accuracy in subjects including public health &amp; medicine-related law, internal medicine (2), and acupuncture medicine which are highly localized in Korea and TKM. The model’s accuracy was lower for questions requiring TKM-specialized knowledge than those that did not. It exhibited higher accuracy in diagnosis-based and recall-based questions than in intervention-based questions. A significant positive correlation was observed between the consistency and accuracy of GPT-4’s responses. This study unveils both the potential and challenges of applying LLMs to TKM. These findings underline the potential of LLMs like GPT-4 in culturally adapted medicine, especially TKM, for tasks such as clinical assistance, medical education, and research. But they also point towards the necessity for the development of methods to mitigate cultural bias inherent in large language models and validate their efficacy in real-world clinical settings.

Prevalence of Undiagnosed Attention Deficit Hyperactivity Disorder (ADHD) Symptoms in the Young Adult Population of the United Arab Emirates: A National Cross-Sectional Study

BackgroundAttention deficit hyperactivity disorder (ADHD), a globally prevalent behavioural disorder, remains underdiagnosed, particularly among adults. This issue is exacerbated in the Arab region due to stigma and insufficient healthcare facilities and professionals. Despite the United Arab Emirates (UAE) efforts to improve mental healthcare, shortcomings persist. No studies in the UAE currently assesses the appropriateness of the screening system for ADHD and other behavioural issues. Furthermore, prevalence rates of ADHD, particularly within the young adult population, are absent.AimTo estimate the prevalence of ADHD amongst young adults attending university in UAE and examine its relationship with gender and academic outcomes.MethodsA cross-sectional, correlational design was used. Young adults in their first year at university were recruited from different academic institutions across the UAE. The study utilized the Adult ADHD Self-Report Scale (ASRS) for data collection.ResultsA sample of 406 young adults, aged between 18 and 20 years of age were recruited. Approximately, 34.7% (n = 141) reported symptoms suggestive of probable ADHD. Significantly lower grade point average marks were observed in participants with ADHD symptoms (M = 3.15) compared to those without (M = 3.35). Females reported symptoms of probable ADHD at higher rates than males, indicating possibly a potential screening deficiency and a potential stigma consequence.ConclusionsThe study demonstrates a high prevalence of probable ADHD in young adults, particularly among females attending university in the United Arab Emirates. Implications for early screening, service provision, and greater professional health training on this disorder are required.

Is mathematics a barrier for engineering?

Mathematics is traditionally considered necessary for engineering courses. Over the last three decades, the mathematics requirements for entry into engineering programmes has steadily weakened in Australia. Further, the mathematics component of engineering programmes has progressively decreased. This research aims to investigate the following two questions. First, is mathematics a barrier for students to complete an engineering programme? And second, is performance in mathematics associated with performance in engineering? We identified the significant factors associated with weighted average mark and the completion status of engineering studies at both an undergraduate level and a Masters level. Of particular interest was the students' mathematical background. Furthermore, a survey of students enrolled in engineering at the University of Western Australia was conducted to obtain more in depth views of student attitudes and perceptions towards how mathematics has affected their engineering studies. Binary logistic models were fitted to the survey data. Additionally, focus group interviews were conducted to gain insight on student perspectives regarding the effectiveness of mathematics teaching in engineering. The results are discussed in relation to the importance of mathematics and statistics for the engineering curriculum.

Light pollution risk rating based on linear dynamic discrete model

Nowadays, with the development of modern society, it has been more and more difficult for us to see the stars at night[1]. What shaded them? The answer is the “evil light”--light pollution. According to the study, light pollution not only harms people's physical health but also their mental health. To solve this problem[2], a model was created to classify and mark the level of light pollution in any place in the world. Its essence is a deterministic dynamic linear discrete model. This paper first studied different kinds of formula related to the treatment on soil and water. Then this paper compared the characteristics of the light pollution with them and found the differences and similarities which can improve our formula. Finally, to get a obtain a widely applicable index system, a linear weight formula was created, which is for light pollution only. Besides, created the optical intrusion formula and the average glare intensity formula. After comparing with the linear weight formula, the paper choosen the linear weight formula for its flexibility and wide use. Secondly, to make the model more accuracy, the paper selected factors that have strong impact on the light pollution. There are too many factors that can influence the light pollution, though some of them only take a little part in. The paper used the Topsis and factor analysis to find out the factors and their weights. Then this paper developed a scoring system based on the data provided by government. Finally, after searching the data for 57 protected areas, 67 rural communities, 64 suburban communities and 76 urban communities and applying them to the model and calculating, we got the final degree for each samples. And the average marks for each kind of place are0.83,0.69,0.51and0.18(preserve two decimal places). The results are very close to the reality and we used the optical imaging to help you better understand them.

The quantified analysis of the correlation between medical humanities curriculums and medical students’ performance

BackgroundA high-quality medical humanities (MH) education program is essential to developing a successful medical practitioner and can influence clinical performance. It is also vital to improve the evaluation of MH education to restore harmonious mutual relationships in medical care. However, studies have yet to discuss the correlation between the learning quality and quantity of medical humanities curriculums (MHC) and medical students' scores of clinical curriculums and clinical performance. The study aimed to assess the correlation between the learning quality and quantity of MHC and medical students' performance.MethodsWe conducted a retrospective cohort study by analyzing a dataset of students' learning records. After excluding students with missing demographic information (n = 1) and overseas Chinese students (n = 15), the study included six- and seven-year program medical school students (n = 354) at National Yang-Ming University who were admitted between 2012 and 2014. The correlation between learning quality and quantity in MHC and students' following performance was evaluated by multivariable-adjusted regression analyses.ResultsAfter adjusting for potential confounders (gender, residential area, age at enrollment, type of administration, and school program), the number of MHC with good learning outcomes was significantly correlated with clinical curriculum scores (p < 0.05), clerkship performance (p < 0.001), and weighted average mark (p < 0.001).ConclusionsOur study found a correlation between MHC with good learning outcomes and medical students' following performance. A future study of improving the quality of MH education is warranted.

A study of marking utility models based on principal component analysis and integer programming

The establishment and analysis of a marking utility model is of great importance in achieving paperless marking and improving the accuracy and efficiency of marking. Through the application of modern technology, students' examination results can be evaluated more objectively and provide an important basis for determining the final effect of talent training. This paper provides a systematic analysis and modelling of the marking process, and uses a variety of techniques and methods to address the issue of marking staff arrangements. Firstly, the impact of the proportion of markers per question, the proportion of the average mark for each question to the total mark for that question, the proportion of blank papers and the error rate on the speed of marking was explored by analysing marker-related indicator variables and the basic requirements for completing the marking process. Then, principal component analysis was used to reduce the dimensionality of the four factor variables affecting marking speed, and two principal components with strong correlation with marking speed were obtained to provide a more systematic and comprehensive analysis of the influence of marking speed. Finally, an integer programming model and simulated annealing algorithm were used to solve for the optimal arrangement of markers to ensure that the requirement of simultaneous completion of workload for each question was met. In this paper, the optimal allocation of markers is analysed and the time required for all markers to complete the marking process at the same point in time is calculated to be 3.3 days. Two optimal allocations of markers are proposed for each question type per day and for each question type per hour in a day.

Impact of Social Factors and Peer Tutoring on Writing Proficiency of EFL Learners in Pakistan at Secondary School Level

This study investigated the impact of social factors and peer tutoring on EFL students’ academic performance. In this research work, peer tutoring strategy was used to examine its effectiveness. Three dimensions of peer tutoring ‘reciprocal peer tutoring, class-wide peer tutoring and cross-age peer tutoring’ were used. The objectives of the study were to find the effectiveness of social factors and peer tutoring on writing fluency and accuracy of EFL learners and to investigate the advantages and disadvantages of peer tutoring in EFL writing skills. The population of the study consisted of the students of 9th and 10th grade from a private school in District Mansehra. A sample of 90 students was taken randomly and these students were divided into control group and experimental group. Quasi experimental design, “Pretest-Posttest Nonequivalent Groups Design” was used to collect data. Among 60 students in experimental group, students who achieved above average marks, were selected as peers. Then posttest was conducted to find the effectiveness of peer tutoring. The data was analyzed through computer software SPSS version 21. The results showed a significant difference in students’ achievement in writing skills in experimental group. It was recommended to practice this technique in classroom to achieve academic skills.

The Influence of Bullying on Positive Emotions and Their Effect as Mediators between Controllable Attributions of Success and Academic Performance.

Academic performance (AP) is a topic of particular interest in the academic context. Attributions for academic success (AAS) have been shown to have a significant impact on AP, and more specifically internal controllable attributions (ICA) are closely linked to academic success. Similarly, positive emotions (PE) have a significant influence on AP and may in turn be influenced by bullying. This study examines the connections between ICA of academic success and AP mediated through PE in late primary and early secondary school students and analyzes the relationships between PE and bullying categories. Students (N = 562, 49.46% female, Mage = 11.6 SD = 1.2) reported on their perceptions of ICA and PE in relation to exams and their relationship with bullying through validated questionnaires. The AP was obtained as the average mark of all subjects in the immediately preceding assessment. First, a multiple linear regression analysis considering ICA and PE as predictor variables was carried out, which showed a significantly positive link between ICA and PE, between ICA and AP, and between PE and AP. Subsequently, using the SPSS macro PROCESS, a simple mediation model was implemented to quantify the effect of ICA on AP through PE in exams, and finally an ANOVA between the categories of bullying and PE was performed. The results showed a significant indirect relationship with a positive predictive relationship for AP. The model shows that PE proves to be a significant mediator between ICA and AP, and it is shown that students disengaged from bullying score higher in PE.