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With the advancement of technology, microlearning has emerged as a promising method to improve the efficacy of teaching and learning. This study aims to investigate the document types, volume, growth trajectory, geographic contribution, coauthor relationships, prominent authors, research groups, influential documents and publication outlets in the microlearning literature.

We adapt the PRISMA guidelines to assess the eligibility of 297 Scopus-indexed documents from 2002 to 2021. Each was manually labeled by educational level. Descriptive statistics and science mapping were conducted to highlight relevant objects and their patterns in the knowledge base.

This study confirms the increasing trend of microlearning publications over the last two decades, with conference papers dominating the microlearning literature (178 documents, 59.86%). Despite global contributions, a concentrated effort from scholars in 15 countries (22.39%) yielded 68.8% of all documents, while the remaining papers were dispersed across 52 other nations (77.61%). Another significant finding is that most documents pertain to three educational level categories: lifelong learning, higher education and all educational levels. In addition, this research highlights six key themes in the microlearning domain, encompassing (1) Design and evaluation of mobile learning, (2) Microlearning adaptation in MOOCs, (3) Language teaching and learning, (4) Workflow of a microlearning system, (5) Microlearning content design, (6) Health competence and health behaviors. Other aspects analyzed in this study include the most prominent authors, research groups, documents and references.

The finding represents all topics at various educational levels to offer a comprehensive view of the knowledge base.

The purpose of this study is to examine the adoption of the active learning and teaching methods by university lecturers, taking into account the contribution of certain important factors, including trust, empowerment, thinking styles and emotional intelligence. In addition, this study further reveals the diverse nature of university lecturers with regards to their tendencies to adopt active teaching methods using the segmentation technique of marketing.

A structured survey was implemented with university lecturers in Hanoi (Vietnam), obtaining a sample of 218 respondents from six universities. Descriptive analysis was carried out to identify the extent of the adoption of these methods. In addition, cluster analysis and analysis of variance were computed to extract and define the segments of university lecturers.

The findings show that the lecturers, on average, had a tendency to apply active teaching methods. However, the extent of the application of these methods differed among four clusters: “conservatives,” “liberals,” “junior conservatives” and “junior liberals.” In addition, it was found that the degree to which active methods were applied may have been affected by the lecturers' trust in and their empowerment of the students. The application of active methods may also have been influenced by various covert characteristics of the lecturers, including thinking styles (cognition-based) and emotional intelligence (affect-based). The lecturers' overt characteristics, such as age, education and experience, may also have affected their application of active methods, while biological sex seems not to have been a significant factor.

The results of this study expand the literature by explaining the diversity of university lecturers from the perspective of the active teaching and learning methods. They also provide implications for the management of education reform based on the varied implementation of the said methods that has already taken place.

Prior studies have documented the phenomenon of rounding of analysts' earnings per share (EPS) forecasts in the USA. From the outset, it is unclear if analysts following Singapore firms also similarly engage in the rounding of their EPS forecasts. This study aims to investigate the extent to which analysts engage in rounding of EPS forecasts of firms listed on the Singapore Exchange.

The author conducted his analysis on a sample of analyst EPS forecasts of companies listed on the Singapore Stock Exchange, downloaded from the International Brokers Estimate System (I/B/E/S). This sample consists of 24,219 annual EPS forecasts announced from June 2011 to September 2019. These forecasts were made for 285 unique firms by 48 unique analysts.

The author finds that there is substantial rounding of EPS forecasts, with 9.59% of EPS forecasts examined ending in five- or ten-cent intervals. In supplementary analysis, the author further finds that the level of rounding was comparable across two periods under examination, from 2011 to 2015 and from 2016 to 2019. The author also finds that there was substantial rounding even for forecasts of relatively large magnitudes (i.e. US$1.00 and above).

This study is the first to examine the rounding of analysts' EPS forecasts of Singapore firms. It extends the literature on analyst EPS forecasts and highlights how the phenomenon of rounding of analyst EPS forecasts of US firms extends to Singapore.