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This study examined the causes of cheating and plagiarism in higher education from a global perspective and developed strategies for reducing these behaviours.

The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis reporting guidelines to select 26 research articles published between 2016 and 2024.

Cheating and plagiarism are caused by laziness, time constraints, lack of confidence, difficult exams, excessive assignments, fear of poor grades, and motivation to achieve higher grades. However, students are often unaware of the effects these behaviours can have on their academic and professional careers. Therefore, in addition to regularly updating academic honour codes following national laws and regulations, higher education institutions need to introduce training programmes and workshops to raise students’ awareness of the negative consequences of cheating and plagiarism, enhance their writing skills, and promote positive attitudes.

The study findings may assist policymakers and stakeholders in higher education institutions in deciding whether to implement academic integrity education programmes and modify honour codes following government laws and regulations. Additionally, this study contributes to the existing literature on cheating and plagiarism and will help higher education institutions address the root causes of these behaviours.

This study contributes valuable insights to the literature on cheating and plagiarism.

In an ever-interconnected world dominated by discourses on the internationalization and marketization of higher education, concerns related to language and employability have been the focus of recent debates. There is, however, a dearth of research investigating how these dimensions relate to one another in recent comparative and international higher education research. By focusing on how issues related to language and employability have been presented in recent higher education research worldwide, this chapter aims to contribute to our understanding of this concern. To achieve this goal, we conducted a scoping literature review using the Web of Science, Scopus, and the Education Resources Information Center (ERIC) databases, considering the years 2011–2020. The findings, perhaps not surprisingly, suggested that language skills are perceived to be valued by both graduates and employers though the discussions predominantly focused on one language, English. The research focus on English for employability in Anglophone contexts is understandable. However, the fact that the trend is observed in contexts where the language is not the primary or official language seems to indicate the influence of internationalization of higher education and global labor markets primarily dominated by English. The literature also suggested that (English) language training in higher education programs needs to move from solely linguistic and qualification-related content areas to a broader sphere of English for communication purposes that cover both specialized disciplinary content and broader generic employability skills. Considering this finding, we suggest that higher education systems and institutions incorporate recent developments in English for occupational purposes in their curriculum. We also recommend that there needs to be a shift from the overwhelmingly English language-dominated discussions to more inclusive research that assesses the impact of other dominant languages on employability-related concerns.

This study aimed to review the different types of academic integrity violations reported in the literature between 2013 and 2023. Moreover, this study investigated the causes of these violations and recommends approaches and measures that can be implemented to minimise academic integrity violations in the era of artificial intelligence (AI).

We reviewed 27 articles published between 2013 and 2023 from the Scopus database. We followed the reporting guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to select, filter, and report relevant studies that met the research objectives.

The study revealed that various individual, institutional, social, cultural, and technological factors contribute to academic integrity violations. To minimise this issue, higher education institutions should offer brief academic integrity tutorial courses to all first-year students to enhance their knowledge of academic integrity. Moreover, academic honour codes should be regularly reviewed and updated, and technological tools should be implemented to detect AI-generated third-party assignments submitted by students. Furthermore, higher education institutions should frequently conduct training and workshops to educate students on the consequences of violating academic integrity.

This study contributes to existing literature. It highlights the wider societal implications of academic integrity violations such as their influence on workforce readiness and ethical standards in professional environments.

The flipped classroom model is an emerging teaching pedagogy in universities, colleges and secondary schools. This model will likely be successful if students prepare and acquire basic knowledge before class hours. Pre-class video lectures are common for students to access knowledge before class hours. However, students often do not watch the pre-class videos or do so only immediately before class hours due to poor engagement and supporting strategies, which can have detrimental effects on their learning achievement. To address this issue, embedding quiz questions into pre-class recorded videos may increase the completion of pre-class activities, students' engagement and learning success. This study examines the effect of a quiz-based flipped classroom (QFC) model to improve students' learning achievement and engagement in a computer science course.

The study involved 173 participants divided into experimental and control groups. The experimental group consisted of 78 students who used the QFC model, while the control group consisted of 73 students who used the conventional flipped classroom (CFC) model.

The 10-week experiment showed that the QFC model effectively improved students' learning achievement and engagement (both behavioral and agentic) compared to the CFC model.

Embedding quiz strategy into the pre-class video demonstrated the potential support to enhance the efficacy of the CFC model. Based on the results of this research, the authors recommended that flipped educators can use the quiz strategy to minimize pre-class issues (especially students' disengagement).

This research adds to the existing literature by evaluating the effect of the newly proposed model on students' learning outcomes and engagement. This study's results can guide colleges and universities intending to implement a blended learning or flipped learning model. The research also gives design, content and course implementation guidelines, which can help engage students to achieve their learning objectives.

This exploratory study aims to discover the different forms of challenges encountered by school stakeholders, including students, teachers, parents and management due to the coronavirus disease 2019 (COVID-19) pandemic.

Qualitative methodology was deployed for the study. A purposive sampling technique was used to select the respondents for a semi-structured interview. Data were examined using interpretative phenomenological analysis (IPA).

It was found that each stakeholder faced four different challenges: mental distress, physical immobility, financial crunches and technological concerns. Findings suggest that teachers are experiencing higher financial, technological and physical challenges as compared to other stakeholders followed by parents.

This paper discusses the major challenges faced by each stakeholder along with the opportunities. These findings will be useful for educationists, regulatory authorities, policymakers and management of educational institutions in developing countries to revisit their policy frameworks to develop new strategies and processes for the smooth implementation of remote learning during a period of uncertainty.