Academic Results Research Articles

Association between procrastination and learning strategies in medical students in a hybrid problem-based and lecture-based learning curriculum.

Procrastination is characterized by the deliberate postponement of assigned educational tasks and is correlated with low academic achievement and depression. Concern about procrastination is particularly high among medical students, as it has a strong association with aspects such as low self-efficacy, lack of organization, low intrinsic motivation, inefficient effort regulation and time management problems. On the other hand, it was found that students' use of study strategies is significantly related to better academic results. The relationship between students' tendency to procrastinate and the adoption of effective study strategies remains little explored, leaving a critical space for investigation. This study aims to fill this gap by exploring how procrastination affects the selection and effectiveness of study strategies adopted by students. This cross-sectional study was conducted in Brazil and included medical students from the first to the seventh semester of the Unichrsitus Medical School. The validated procrastination scale and the Learning and Study Strategies Inventory were used. Generalized linear regression multivariate models with robust errors were used to verify the association between the study variables. 447 students participated, 70.2% of whom were female, with an average age of 23years. The domain of "study aids" scored higher among younger students, who self-referred as black and who studied in private schools prior to the Medical School. Higher procrastination scores were statistically associated with higher main idea selection, concentration, time organization and anxiety scores and with lower study aids and study preoccupation scores (p values < 0.05). In addition, active methodology was associated with higher scores in the domains of study aids and time organization. Procrastination is associated with the study strategies used by medical students, which can be modified through training and ultimately improve their performance. Students in traditional models, who are older, white and from public schools may especially benefit from this training.

Pengalaman Self Directed Learning Mahasiswa dalam Project Based Learning

This study aims to see an overview of students' self-directed learning experiences when conducting project-based learning. This study uses a qualitative method with a phenomenological approach. Participants in this study are students who are or have participated in project-based learning. Data analysis was carried out using the Interpretative Phenomenological Analysis (IPA) method to understand students' in-depth experience in managing self-directed learning. The validity of the research is maintained through triangulation of data sources and confirmation of results to participants The research results show that students who have good self-directed learning skills can overcome various challenges in project based learning such as problems in team collaboration and time management. In addition, the self-evaluation carried out by students during the learning process helps them improve critical thinking skills, resource management and independence. Intrinsic motivation factors and external support play an important role in supporting the success of self-directed learning in project based learning. This research concludes that self-directed learning plays a significant role in increasing the effectiveness of studenjt learning in project based learning, both in terms of academic results and life skills development

COOPERATIVE LEARNING TECHNOLOGIES AS A MEANS OF IMPROVING THE PROFESSIONAL TRAINING OF NURSES IN AUSTRIA

The article examines the use of cooperative learning technologies in the professional training of nurses in Austria. It is emphasized that the nursing profession in Austrian society has a high social rating, a pronounced personal and humanistic orientation, іt is a separate profession, where a nurse is an independent specialist in the health care system. It is emphasized that in the conditions of increasing the range of functional responsibilities and of the professional activity of medical specialists, cooperative learning technologies allow not only to improve practical skills, but also to develop the clinical thinking of future nurses, to adapt them to non-standard situations, to work out all the necessary stages of their activity. It is noted that the advantages of cooperative learning are the improvement of students' academic results, development of their ability to think critically and have non-stereotypical perception of other people, positive psychological climate in the group, studentsʼ desire for cooperation and constructive socialization, the presence of an empathetic reaction, mutual support, sympathy and friendly relations in the team, and positive attitude of students to studies, teachers and educational institution, etc. Unlike traditional forms and methods of educational activity, cooperative learning helps to achieve not only cognitive, but also motivational and emotional goals, develops the ability to take responsibility for oneʼs own learning, that is, the ability to independently organize the learning process.

Teacher support in AI-assisted exams: an experimental study to inspect the effects on demotivation, anxiety management in exams, L2 learning experience, and academic success

Although AI technologies show great promise for education, their inclusion into assessment systems has generated debates regarding student motivation, anxiety, learning opportunities, and academic results. This study explored the influence of teacher support in AI-assisted exams on L2 learners’ demotivation, anxiety, L2 learning experience, and academic success. Conducted at a large university in Ethiopia, participants included 92 BA Management students from two intact classes, equally distributed by gender and ranging in age from 18 to 23. The two intact classes were randomly divided into an experimental and a control group. Using a quantitative quasi-experimental pretest–posttest control group design, the study administered an Oxford Quick Placement Test, the Academic Motivation Scale, the Foreign Language Classroom Anxiety Scale, the L2 Learning Experience Scale, and a researcher-made test to assess academic success. The AI tools integrated into the exams included automated assessment and feedback systems to enhance learner engagement. Chi-square analyses and independent samples t-tests revealed significant positive effects of teacher support on reducing demotivation and anxiety, enhancing L2 learning experiences, and improving academic success in the experimental group compared to the control group, highlighting the benefits of combining AI tools with teacher support. These findings suggest that teacher support in AI-assisted exams can substantially benefit L2 learners. Additionally, the findings indicate that AI-assisted exams can considerably improve learning outcomes when paired with effective teacher involvement, highlighting implications for various stakeholders in L2 instruction. Implications of the study, limitations, and suggestions for future research are discussed.

Hubungan antara Stress Akademik dengan Fatigue pada Mahasiswa Universitas Negeri Padang

Fatigue is a subjective state of exhaustion associated with reduced motivation, activity, prolonged mental, or boredom that occurs in situations. Academic stress is a form of stress that occurs due to stressors in the teaching and learning process or things related to learning activities. This study aims to determine the relationship between academic stress and fatigue in students. This study uses quantitative methods with Pearson product moment analysis. The population of this research is Padang State University students from 2021 to 2023. The sampling technique for this study used stratified random sampling with a total sample of 468 people. This research instrument uses the Perceived Sources of Academic Stress scale and the Multidimensional Fatigue Inventory-Short From. Based on the results of the data obtained the value of r = 0.593 with p = 0.000 (sig. &lt;0.05). So it can be said that there is a positive relationship between academic stress and fatigue in Padang State University students from 2021 to 2023. The results show that the high academic stress felt by students is followed by an increase in fatigue felt by students. So it is expected to improve the overall well-being of students and support in achieving optimal academic results without excessive pressure.

Does Perception Determine Knowledge? Evaluation of the Implementation of Historical Thinking as a Factor for Socio-Cultural Sustainability

Historical thinking plays a key role in the education of critical citizens who are committed to the world in which they live. Socio-cultural sustainability promotes respect for one’s own cultural roots (and those of others), averts the consequences of cultural homogenisation and fosters identification with fundamental values and human rights. The main objective of this study is to analyse the consistency between the perception of teaching–learning processes and the historical knowledge of secondary school students following the implementation of a teaching unit based on the methodological theory of historical thinking. A quasi-experimental design with a non-equivalent control group was applied to 93 baccalaureate students (16–18 years of age) from the Region of Murcia (Spain). Two teaching units with different methodologies (experimental and control) were developed and compared. The results show a moderate degree of consistency between perceptions and knowledge in some variables in the analysis of the experimental group. Thus, it can be stated that historical thinking as a methodological theory contributes to promoting the idea of multiculturalism and has good academic results in terms of historical learning. In conclusion, the role of historical thinking as an influential factor in the perception and acquisition of knowledge is clear. In addition, it helps to preserve socio-cultural sustainability via community participation, the promotion of social justice and respect for other cultures.

Application of Humanistic Learning Theory in Increasing Student Learning Motivation

The educational process must pay attention to the development of potential, character, and learning motivation, not just achieving academic results. The absence of student learning motivation, which can affect their achievement and their involvement in learning activities, is one of the main challenges faced by teachers during the learning process. In this context, humanistic learning theory offers a perspective that emphasizes how important it is to meet a person's psychological and emotional needs so that they can learn optimally and feel valued as individuals. The most important finding of this study is that humanistic learning theory has great potential to increase students' desire to learn. If this theory is applied more widely, it can help solve the problem of lack of desire to learn which has been a problem in the world of education. Theoretically and practically, this study makes a significant contribution to the advancement of science. Theoretically, this study strengthens the idea that the humanistic approach is still relevant in the world of modern education. Practically, this study offers direction to educators to concentrate more on students' emotional needs as one important way to increase their desire to learn. Although this study is very useful, the results cannot be generalized. To find out how humanistic learning theory can be applied to various educational contexts, further studies are needed. This will pave the way for additional research

Geometry: An innate ability that nevertheless makes it difficult for students worldwide

The importance of geometry has been highlighted since antiquity. Studies show that we have geometric knowledge from infancy age. Some geometric skills are innate and are not taught in school. However, cultivating them can be achieved in many ways at a very young age and has positive academic results in the future. Unfortunately, nowadays students do not show the necessary interest in the subject and as a result they have not developed their geometric thinking and encounter difficulties both in everyday life and at school.

Procrastination and risky behaviors: preliminary results among Italian university students

Abstract Background The study aims to investigate if the tendency to procrastinate has a relationship with engaging in risky behaviors among university students. Methods A cross-sectional study was conducted at the ‘Magna Græcia’ University of Catanzaro, in the Southern part of Italy, using a stratified random sample technique. Undergraduate students (ages 18 to 30) were provided with an anonymous online survey via the institutional email. The survey comprised five sections to assess procrastination levels, sleep quality, breakfast habits, alcohol and tobacco use, and social and demographic characteristics. Results Of the 404 participants, more than half were enrolled in medicine or life science majors. The procrastination mean score was 14.8(IQR 10-20). Poor sleep quality was found in 57.2% of students and women were the most affected part of the sample. The logistic regression model revealed that higher procrastination levels increased the likelihood of engaging in unhealthy behaviors such as breakfast skipping, alcohol abuse, and poor sleep quality. Furthermore, the study found that people who skipped breakfast were more likely to engage in smoking and alcohol abuse, suggesting the interconnectedness nature of unhealthy behaviors. Conclusions The study’s findings shed light on the correlation between procrastination and unhealthy habits. Moreover, the results can offer recommendations for how universities might successfully support students by implementing integrated, evidence-based programs to assist students who struggle with procrastination. Indeed, universities can serve as centers for promoting wellness by increasing awareness of the need to change deeply rooted behavioral patterns. Hence, breaking the vicious cycle of procrastination can ultimately lead to improved academic performance and overall well-being for students. This will benefit both individuals’ and the general public’s health. Key messages • The novel correlation between procrastination and risky behaviors among university students was shown. • Targeted interventions must include procrastination tendency to improve academic results and general well-being.

Analysis of Gender-bias in the Current State of American Education

Abstract: In today's society, educational equity has become the focus of global attention, and gender bias, as an important form of educational injustice, poses a significant obstacle to the growth of individuals and the ovall progress of society. This paper aims to explore the issue of gender bias in the current situation of American education, focusing on its manifestations, impact mechanisms, and potential improvement strategies. The study uses literature analysis, case study and data analysis to explore the gender bias in education in the United States. The subjects range from primary school to higher education, with data derived from government reports, academic research results, and social surveys. This study found that gender bias exists widespread in American education, not only in curriculum, textbook content, and teacher-student interaction but also profoundly affects students' learning motivation, self-perception and future career development. Therefore, eliminating gender bias and promoting educational equity are of great significance for the long-term development and prosperity of American society.

PHÂN TÍCH THỰC TRẠNG VÀ SỰ KHÁC BIỆT CỦA CÁC NGUYÊN NHÂN LÃNG PHÍ THỜI GIAN VỚI KẾT QUẢ HỌC TẬP CỦA SINH VIÊN

To address the causes of wasting time that have or do not have an impact on students' academic achievement, this study was conducted utilizing quantitative research methods, alongside a variety of research methods, such as document research, an exploratory survey of 307 students, an official survey with 6,670 statistically valid student’s responses, interviews, exploratory factor analysis (EFA), scale reliability analysis, descriptive statistics, and inferential statistics. Consequently, all of the 11 causes of wasting time that belong to the two categories of objective and subjective causes are at the influential level. Whether in the group of objective or subjective causes, reasons related to the use of technology are the leading cause of wasting students' time. In addition, the study also found that there is a significant difference between student's academic results, with the main trend of students with fair academic performance having more wasted time when compared to groups of students with good and excellent grades. Therefore, to have good learning results, students need to study and practice time management skills to increase the efficiency of time use and avoid time-consuming factors.

Intelligent Computer-Assisted Language Assessment (ICALA) in philosophy-based language instruction: unraveling the effects on critical thinking, self-evaluation, academic resilience, and speaking development

Few empirical research has attempted to determine the impact of Intelligent Computer-Assisted Language Assessment (ICALA) in philosophy-based language instruction (PBLI) on critical thinking, self-evaluation, and academic resilience, despite the significant role that higher-order thinking skills play in influencing English as a Foreign Language (EFL) learners’ cognition, including their learning processes. This research addresses this knowledge vacuum by examining how ICALA in PBLI influences the development of the four primary abilities associated with critical thinking, self-evaluation, and academic resilience. A quasi-experimental strategy was used in this study among 81 EFL learners. The participants were split into two groups: one to participate in the experiment and another to serve as a control. The books for both groups were revised or supplemented according to the underlying PBLI principles. The control group (CG) students were exposed to paper format assessment. In comparison, the experimental group (EG) attended ICALA. The statistical significance of the differences between the two groups was determined using multivariate analysis of variance (MANOVA). The results demonstrated that the learners in EG outperformed their peers in CG foreign language-speaking development. Moreover, they received better critical thinking, self-evaluation, and academic resilience results.

A new approach to continuous assessment: Moving from a stressful sum of grades to meaningful learning through self-reflection

This paper proposes a new approach of continuous assessment of a formative nature, aimed at achieving meaningful learning with lower stress levels. This approach minimizes the punitive nature of traditional summative continuous assessment and replaces typical graded activities with self-reflecting ones. To conduct the formative evaluation, a teaching model has been developed to guide the choice of feedback and feed-forward strategies to be implemented by the instructors, depending on the students’ levels of competence and confidence. To validate the effectiveness of this approach, a quasi-experimental design was employed, with the new continuous assessment method in the experimental group and the summative continuous assessment method in the control group. The experiment was conducted in a Mathematics course with undergraduate Economics and Business students. Data were collected through test scores and a perception questionnaire. The results indicate that the new evaluation method promotes meaningful learning and yields better academic results compared to the traditional continuous evaluation. Students expressed high satisfaction with the new approach, noting that it allows them to understand their formative status and address deficiencies before undertaking evaluable activities. They also believe this strategy helps reduce the stress associated with the summative evaluation itself.

Investigating the Relationship Between Social Networks and the Academic Performance of University Students (Case Study: Faryab University Students)

In recent decades, with the increasing expansion of communication technology, the use of social networks has become one of the most important online activities. However, technology has not only had positive effects on human relationships and personal communication, but its negative effects on academic performance are also well-known. This research focuses on evaluating the negative effects of social networks on academic performance, with a focus on students of Faryab University. This research is applied in terms of classification based on the objective, and can be considered a descriptive-correlational research in terms of methodological classification. The total sample size includes all day students, which is 3000, and a sample of 268 individuals has been selected based on Morgan's table. The questionnaire is used as a data collection tool, and the SPSS software is used for descriptive and inferential statistics (relationship and correlation) for data analysis. The findings of the research indicate a pervasive negative relationship between the use of social networks and academic performance among Faryab University students. While positive interactions such as parental support and strategic personal and peer interactions can increase academic results, potential drawbacks such as distraction, stress, and addiction require a comprehensive approach to deal with the challenges arising from social media.

3D limit analysis of reinforced concrete with sliding along smeared cracks

Limit analysis (LA) is successfully used for investigating the bearing capacity of reinforced concrete (RC) structures. Some cautions must be taken when using this method for RC since the concrete component exhibits a softening behavior with decreasing strength and limited ductility. A commonly adopted provision consists of considering isotropic reduced values of concrete strength to be input in the analysis (empirical effectiveness factors). In this paper, an alternative and completely new approach is proposed and investigated in which concrete strength is weakened in a more targeted manner. To that purpose, the commonly used 3D truncated Mohr-Coulomb (TMC) criterion is adopted to classically describe the compressive, tensile, and shear failure of concrete. However, TMC is here in an original way enriched by additional constraints that allow to account for weakness and anisotropy induced by preferential failure patterns, assumed a priori. The limit analysis approach is then formulated for two dual analyses in the convex optimization framework, making it possible to quantify the numerical error and obtain a lower and an upper bound of the limit load. Numerical examples illustrate the agreement of the formulation with academic results and laboratory tests.

Investigating English as a Foreign Language Classroom Management in the Mauritanian Secondary Schools

This research is conducted to investigate the issue of EFL classroom management, aiming at discovering the various types of students’ misbehavior, their reasons, and teachers’ management strategies. In accordance with these objectives, a qualitative method was employed through the use of one-to-one interview technique. The participants were limited to 14 teachers from different secondary schools in Mauritania and 102 students from three secondary schools located in Nouakchott, Boghe and Maata Moulana. The study revealed four types of misbehavior made by students: verbal, non-verbal, confrontational and non-confrontational, and the reasons were summarized as lack of time management, unfriendly relationship, inappropriate instructional methodologies, students’ disengagements in learning, poor learning environment, teachers’ characteristics, students’ low proficiency, affective attitudes, lack of ethics, and overcrowding. To deal with this issue, teachers adopted four coping management strategies: preventive, supportive, corrective and ignoring strategies. These strategies decrease the students’ disruptive behavior and contribute to their focus on achieving better academic results.

Using meta-analytic path analysis to examine mechanisms relating students’ perceived feedback, motivation, self-efficacy, and academic performance

This study investigates the complex relationships between students’ perceived feedback from formative assessments, self-efficacy, learning motivation, and academic performance in the context of self-regulated learning in the formal educational setting. While previous research has explored these factors individually, their combined impact and interrelationships remain unclear. This research aims to fill this gap by examining how feedback mechanisms influence students' self-efficacy and learning motivation, and how these factors collectively affect academic performance. This study employs a comprehensive meta-analysis and structural equation modeling with path models to reassess the impacts of these influential factors on academic achievement. Specifically, it aims to 1. examine the directional effects of perceived feedback on self-efficacy; 2. investigate the role of self-efficacy in mediating the relationship between feedback and learning motivation; and 3. assess the direct and indirect effects of feedback, self-efficacy, and learning motivation on academic performance. Data is collected from various educational contexts to ensure a broad representation of learners' experiences. The analysis also evaluates the viability of mean imputation for handling missing values in two-stage structural equation modeling. The findings show that feedback from formative assessments strongly predict academic success as it has both direct and indirect effects on performance. Self-efficacy and learning motivation also play a key role in explaining differences in academic outcomes. This study offers a clearer understanding of how feedback, self-efficacy, and motivation work together to influence academic results. These insights can help improve educational practices by guiding better strategies to optimize students' learning experiences and outcomes.

The Impact of Technology-Based Learning on Student Engagement and Achievement in the Digital Era

This study aims to analyze the influence of technology-based learning on student engagement and achievement in the digital era. The development of information and communication technology has changed the way of learning and teaching, so that universities are required to adopt new approaches that are more in line with the needs of students in the digital era. This study uses a quantitative method with a survey design to collect data from 200 students involved in the technology-based learning process in various study programs. The instruments used include a questionnaire to measure the level of student engagement and analysis of academic results to assess their achievements. The results of the study indicate that technology-based learning significantly increases student engagement, both in terms of active participation in class and interaction with fellow students and lecturers. In addition, the use of technology in learning also contributes positively to improving student academic achievement. These findings indicate that technology integration in higher education can be an effective strategy to encourage deeper engagement and better achievement among students. This study recommends a broader and more strategic implementation of technology-based learning to improve the quality of education in the digital era.

Perceptions on the Influence of English Language Proficiency on Students’ Academic Performance in Public Secondary Schools in Rorya District Council

This study examines perceptions of the influence of English language proficiency on students' academic performance in Public Secondary Schools in Rorya District, Tanzania. The study utilizes a mixed research approach and descriptive survey design. The study targeted DSEO, Heads of Schools, teachers, and students, with a sample of 61 respondents selected through stratified and random sampling methods. Primary and secondary data were gathered via interviews and questionnaires, ensuring the study's validity and reliability. Ethical considerations, including voluntary participation and confidentiality, were rigorously upheld. The findings reveal that effective school-based English programs, such as debates and speech activities, enhance students' language skills and academic performance. Additionally, consistent and dedicated teaching of English contributes positively to students' comprehension and achievements. The study underscores the critical role of English proficiency in educational outcomes and recommends expanding English language programs, regular teacher training, and interactive learning methods to improve academic results

Edge Computing with Deep Learning and Internet of Things for Recognising and Predicting Students Emotions and Mental Health

A person's Mental Health (MH) dramatically influences their complete evolution in life, including their cognitive, emotional, and psychomotor components. A person with good MH is content with life and can be creative, learn new things, and take risks to accomplish more significant objectives. Currently, college students are dealing with MH concerns for various causes, which affect their academic performance and significantly contribute to poor academic results. Therefore, encouraging MH in college students presents a significant problem for educators, parents, teacher educators, and governments. Adolescence is a crucial and delicate time characterized by considerable physical, emotional, social, and religious changes. The physical, social, and psychological facets of an individual's growth are laid out in this period, with mental health as a crucial factor in promoting these gains. Therefore, it becomes crucial for researchers to use Deep Learning (DL) algorithms to study the association between MH and vital psychological characteristics, such as emotional intelligence, personality traits, and intelligence. The personal aspects, namely personality, emotional intelligence, and MH are all related ideas that influence one another. Individuals must have mental well-being and emotional harmony to have a good personality. The current study uses DL techniques to investigate the relationship between college students' MH, emotional intelligence, and personality features. To perform a thorough study on emotion identification and Mental Health Prediction (MHP) among college students, this project investigates the integration of edge computing enabled by the Internet of Things (IoT) in the context of intelligent systems. Innovative treatments are urgently needed due to this population's rising prevalence of MH issues. This paper aims to continuously monitor and predict college students' MH using Edge Computing (EC) and IoT technology.