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Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students’ academic achievement early using Educational Data Mining (EDM). This study aims to predict students’ final grades and identify honorary students at an early stage. Background: EDM research has emerged as an exciting research area, which can unfold valuable knowledge from educational databases for many purposes, such as identifying the dropouts and students who need special attention and discovering honorary students for allocating scholarships. Methodology: In this work, we have collected 300 undergraduate students’ records from three departments of a Computer and Information Science College at a university located in Saudi Arabia. We compared the performance of six data mining methods in predicting academic achievement. Those methods are C4.5, Simple CART, LADTree, Naïve Bayes, Bayes Net with ADTree, and Random Forest. Contribution: We tested the significance of correlation attribute predictors using four different methods. We found 9 out of 18 proposed features with a significant correlation for predicting students’ academic achievement after their 4th semester. Those features are student GPA during the first four semesters, the number of failed courses during the first four semesters, and the grades of three core courses, i.e., database fundamentals, programming language (1), and computer network fundamentals. Findings: The empirical results show the following: (i) the main features that can predict students’ academic achievement are the student GPA during the first four semesters, the number of failed courses during the first four semesters, and the grades of three core courses; (ii) Naïve Bayes classifier performed better than Tree-based Models in predicting students’ academic achievement in general, however, Random Forest outperformed Naïve Bayes in predicting honorary students; (iii) English language skills do not play an essential role in students’ success at the college of Computer and Information Sciences; and (iv) studying an orientation year does not contribute to students’ success. Recommendations for Practitioners: We would recommend instructors to consider using EDM in predicting students’ academic achievement and benefit from that in customizing students’ learning experience based on their different needs. Recommendation for Researchers: We would highly endorse that researchers apply more EDM studies across various universities and compare between them. For example, future research could investigate the effects of offering tutoring sessions for students who fail core courses in their first semesters, examine the role of language skills in social science programs, and examine the role of the orientation year in other programs. Impact on Society: The prediction of academic performance can help both teachers and students in many ways. It also enables the early discovery of honorary students. Thus, well-deserved opportunities can be offered; for example, scholarships, internships, and workshops. It can also help identify students who require special attention to take an appropriate intervention at the earliest stage possible. Moreover, instructors can be aware of each student’s capability and customize the teaching tasks based on students’ needs. Future Research: For future work, the experiment can be repeated with a larger dataset. It could also be extended with more distinctive attributes to reach more accurate results that are useful for improving the students’ learning outcomes. Moreover, experiments could be done using other data mining algorithms to get a broader approach and more valuable and accurate outputs.

This study aims to examine the influence of gamification in students’ learning outcomes and academic performance. A longitudinal study was conducted to compare students’ academic performance in online learning (2020–2021), traditional learning (2021–2022), and gamified learning (2022–2023). The longitudinal study lasted 3 years and a total of 1001 higher education students were involved. Three research questions were set to be explored and students’ viewpoints and experiences were also examined through a questionnaire of 20 questions. This study follows a quantitative research approach. The data refers to students’ academic performance, success rate, excellence rate, withdrawal rate, engagement, motivation, and perspectives. In the laboratory part of the course, gamified learning yielded better outcomes over online learning and traditional learning in success rate (39% and 13%), excellence rate (130% and 23%), average grade (24% and 11%), and retention rate (42% and 36%) respectively. In the theoretical part of the course, gamified learning resulted in better outcomes over online learning and traditional learning in success rate (19% and 14%), in excellence rate (125% and 79%), and in average grade (25% and 12%) respectively. In the overall course, gamified learning yielded better outcomes over online learning and traditional learning in success rate (14% and 14%), in excellence rate (122% and 70%), and in average grade (25% and 17%) respectively. The highest increase was observed in students’ excellence rate. Students highly regarded gamification as an effective educational approach that can increase their learning outcomes, engagement, productivity, and motivation and trigger both their both intrinsic and extrinsic motivation. The learning experience become more enjoyable and students’ basic needs in terms of autonomy, competence and sufficiency, and relatedness and sense of belonging were met. Traditional learning also resulted in better learning outcomes when compared to online learning. Gamification emerged as an effective learning approach which leads to improved learning outcomes and academic performance, learning motivation, engagement, and retention rate over online learning and traditional learning in both theoretical and applied course settings.

Objective This study aims to fill the research gap pertaining to the unique mentoring needs of international doctoral students.Method Based on data from a survey conducted by GADE, this study examined doctoral students’ perspectives on academic and non-academic needs and stress as well as diversity and inclusion issues.Findings International students have specific mentoring needs and higher levels of stress related to coursework, deciding on research area, scholarly writing, epistemology/theory, and teaching skills while reported less stress related to candidacy and dissertation with higher overall satisfaction with their mentoring experience.Conclusions Findings from this study highlight specific academic and non-academic mentoring needs of international doctoral students, the importance of relational-based mentoring, and areas needing additional attention in future research.

Can you ask students from three different bachelor programmes to help solve planning and routeing problems for hospitals? In the presented case an interdisciplinary approach was shown to be successful after some redesign. Students from Applied Mathematics, Civil Engineering and Industrial & Engineering Management jointly designed solutions for ‘traffic’ to and through the hospital using stochastic modelling. Importantly this project was scaffolded through coursework, supervision and problem-design. The particular scaffolding strategy employed by the teaching team offers other teacher teams ideas for making interdisciplinary project-based learning a more effective learning opportunity. At the same time we need to ensure that students feel at home in their own programme and will be empowered to work with other specialists.

Purpose This paper aims to investigate the relationship between academic integrity of online university students and its effects on academic performance and learning quality. The first hypothesis aimed to see if there is statistically significant relationship between academic honesty of students taking online classes and their apparent academic performance. The second hypothesis aimed to see if there is a statistically significant difference in academic integrity among male and female students. The third hypothesis aimed to see if there was a statistically significant relationship between academic honesty of students and their quality of learning. Design/methodology/approach This is a quantitative study; data was collected via student emails from 155 active online university students. Findings There was a positive linear relationship for the first hypothesis, the relationship is relatively weak as the value of Pearson correlation was (0.172). For the second hypothesis, the results showed that there was no significant difference between males and females. The results for the third hypothesis showed that there is a statistically significant relationship between academic integrity of students taking online classes and academic learning quality. This relationship is relatively strong. Research limitations/implications The sample size may have been a limitation for generalizing the results. Practical implications As a practical implication, authors recommend that education administrators focus on training their faculty members to stress and instill strong ethical values, such as academic integrity and honesty, in their students all throughout their academic journey. Social implications As for social implication, the embracing of ethical values in students, graduates may continue to embrace such values in the workplace which may lead to more reputable and profitable work environment where the society at large benefits. Originality/value This research is among the pioneers that attempted to study the connection of academic integrity and learning quality from the students’ perspective.

Considerable research on effective instruction in the virtual classroom exists. Yet very little is known about the extent to which instructor presence (IP) based on the Community of Inquiry model (CoI), are directly related to retention and student success. CoI includes three components of IP: teaching (TP), cognitive (CP), and social (SP). These IP engagement strategies have been suggested to improve outcomes if effectively applied in the virtual classroom. Attrition rates, retention, engagement, and student and instructor success rates are critical aspects of an effective virtual classroom and identifying practices that support these efforts is essential. This study suggests that CoI engagement strategies, when applied by instructors to the online classroom effectively, can improve factors associated with retention and success. To prepare instructors, we designed and utilized a series of seven self-paced interactive modules. With the training, the educators were able to engage with students more effectively by integrating best practices associated with IP. Course dropout rates and student success rates both significantly improved (p = .05; p < .001 respectively) after these engagement strategies were more efficaciously integrated into the classroom by the trained instructors.

Nurses are the first role models for students in clinical settings. They can have a significant role on students' motivation. The purpose of this study was to explore the understanding of nursing students and instructors concerning the role of nurses in motivating nursing students through clinical education. The sampling was first started purposefully and continued with theoretical sampling. The study collected qualitative data through semistructured and interactive interviews with 16 nursing students and 4 nursing instructors. All interviews were recorded, transcribed, and analyzed using grounded theory approach. One important pattern emerged in this study was the "concerns of becoming a nurse," which itself consisted of three categories: "nurses clinical competency," "nurses as full-scale mirror of the future," and "Monitoring and modeling through clinical education" (as the core variable). The findings showed that the nurses' manners of performance as well as the profession's prospect have a fundamental role in the process of formation of motivation through clinical education. Students find an insight into the nursing profession by substituting themselves in the place of a nurse, and as result, are or are not motivated towards the clinical education.

Uncertain times require prompt reflexes to survive and this study is a collaborative reflex to better understand uncertainty and navigate through it. The Coronavirus (Covid-19) pandemic hit hard and interrupted many dimensions of our lives, particularly education. As a response to interruption of education due to the Covid-19 pandemic, this study is a collaborative reaction that narrates the overall view, reflections from the K12 and higher educational landscape, lessons learned and suggestions from a total of 31 countries across the world with a representation of 62.7% of the whole world population. In addition to the value of each case by country, the synthesis of this research suggests that the current practices can be defined as emergency remote education and this practice is different from planned practices such as distance education, online learning or other derivations. Above all, this study points out how social injustice, inequity and the digital divide have been exacerbated during the pandemic and need unique and targeted measures if they are to be addressed. While there are support communities and mechanisms, parents are overburdened between regular daily/professional duties and emerging educational roles, and all parties are experiencing trauma, psychological pressure and anxiety to various degrees, which necessitates a pedagogy of care, affection and empathy. In terms of educational processes, the interruption of education signifies the importance of openness in education and highlights issues that should be taken into consideration such as using alternative assessment and evaluation methods as well as concerns about surveillance, ethics, and data privacy resulting from nearly exclusive dependency on online solutions.