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As a response to the COVID-19 pandemic, both educators and students adapted to course delivery modes no longer centered on in-person interactions. Resiliency and self-regulation are key to success in online contexts, but the rapid transition to remote learning left many students without the necessary support to develop these skills. Much of the existing literature on self-regulation and resiliency focuses on cognitive processes and strategies such as goal orientation, time management, and mindset. However, the added stress and trauma of learning in the context of a global pandemic highlighted the many other factors relevant to students’ development of these skills. Drawing from the literature, the authors explore evidence-informed teaching practices to foster self-regulation and resiliency, highlight the power and privilege of being able to be resilient, advocate for the development of pedagogies of kindness, and emphasize the “how” of implementing techniques to best support students. The authors provide evidence-informed suggestions with the goal of assisting instructors and students during times of high stress, while acknowledging their limitations in addressing structural inequalities highlighted by the COVID-19 pandemic. Nonetheless, the authors argue that evidence-informed techniques and compassionate pedagogies adopted during a period of upheaval remain applicable to future in-person and online pedagogies.

Self-regulation is the level of learning where the learner becomes an active agent in their learning process in terms of activity and aspects of motivation and metacognition. The current paper mostly deals with the metacognitive aspect. The purpose of this study is to gain insight into self-regulation of learning in the context of modern technology in higher education. This study also aims to highlight the direction, tendencies and trends toward which self-regulation of learning is moving in relation to modern technologies.

The review study was compiled via searches in three databases: Scopus, Web of Science and ERIC. A filter was used to search for empirical studies solely in English, published over the past decade on the topics of self-regulation of learning and technology in higher education.

The findings clearly show a correlation between self-regulation of learning and modern technology, especially after a significant event such as the Covid-19 pandemic. However, in the wake of this change, the field of education has seen the emergence of methods and new platforms that can provide support for the development of self-regulated learning strategies.

The originality of the study lies in the fact that it focuses on the link between self-regulation of learning and modern technologies in higher education, including some predictions of the future direction of self-regulation of learning in this context.

The purpose of the study is to explore the interrelation between internal factors of learners and the external environment. The results of this study help to design a learning environment that improves students' self-efficacy and consequently self-regulated learning (SRL) behaviors of students.

The study adopts a quantitative approach to explore the relationship between learner's self-efficacy, self-regulation behavior and three factors in the online learning environment: course design, learning activities and relationship with instructors and peers. Participants of the study are 350 students in two universities in Vietnam.

The study finds that factors in the learning environment namely course design, learning activities and relationship within class significantly affect students' self-regulation. Moreover, results show that students' self-efficacy plays the mediating role in the relationship between learning environment and self-regulation.

Samples are taken by convenience sampling method, which may lead to sampling bias, and results may, to some extent, be misleading. The study was conducted in only two universities with limited student populations. A larger sample of students from other institutions may contribute to a better explanation of the relationships.

The study has a practical implication of contributing to the limited understanding of learners in an underdeveloped-research country context. The study also implies necessary changes to the long-standing, prevalent yet ineffective teaching and learning style.

The study calls for a renovation in the nation's traditional educational practices, having a social implication of creating a learning environment beneficial for learners.

This study is the first to investigate the impact of online learning environment and students' internal factors on their learning behaviors in Vietnam. The study is among the very few empirical research studies on the country's education generally and on self-regulation specifically, contributing to better understanding of learning experiences and the improvement of teaching.

This study aims to investigate which a priori factors documented in the literature and new factors that influence employees’ self-regulated microlearning behavior and the utilization of internal microlearning platforms in organizations.

The authors conducted a single-case study on a Swedish retail group that had developed an internally-built microlearning platform, collecting data through semistructured interviews with 13 informants.

The authors have identified eight factors that affect employees’ self-regulated microlearning processes. In addition to confirming the presence of five factors from previous research, the authors have discovered the influence of three new factors on self-regulated learning. These new factors are prioritization, other learning platforms and relevant content.

The study conducted a unique investigation into the factors influencing employees’ self-regulated learning strategies and their impact on the utilization of microlearning platforms. Previous research has given limited attention to this research topic and associated questions, making this study a valuable contribution.

This study investigates the main factors that lead to students’ satisfaction toward executive education blended learning.

Merging five theories (consumer satisfaction theory, self-determination theory, investment model, happy-productive student theory and service quality model), the author used quantitative research to develop a model, explaining executive education satisfaction taught in a blended learning approach. Administrated questionnaires were physically distributed in various business universities that offer education to mid-career executives in Egypt. Two hundred and seventy questionnaires were examined through structural equation modeling path coefficient analysis.

Results show that satisfaction with executive education in traditional classroom boundaries are due to three internal factors (personal/psychological): self-regulated learning, perceived future financial rewards and perceived ease of course; and two external factors: quality of instructor and course design. When courses are given online, satisfaction is developed due to two internal factors (personal/psychological): self-regulated learning and perceived future financial reward; and one external factor, course design.

Marketization signifies students as consumers of universities; student’s satisfaction is increasingly important for educational entities to attract and retain students. Thus, this study develops a coherent student’s satisfaction model to better manage and market executive education, leading to students’ contentment in theory and practice.

Student’s satisfaction has multiple facets that are stochastic as education evolves and develops. The contribution stems from the incorporation of various theories to explain student’s satisfaction of executive education taught in a blended approach: traditional classroom boundaries and digital platforms that offer access to online education. The research extracts significant set of reasons, showing executive education satisfaction is not entirely similar to other education programs; and satisfaction toward blended learning in executive education is not entirely similar to education offered solely online or physically.

This paper aimed to determine the self- and co-regulation influences on the community of inquiry (CoI) for collaborative online learning.

A quantitative survey was used on a sample of (N = 626) enrolled postgraduate students in a South African Open Distance and e-Learning (ODeL) university. The measuring instruments were the CoI and the shared metacognitive surveys. Correlation and multiple regression analyses were used to determine the association and influence of self- and co-regulation on the CoI.

The results indicated that self- and co-regulation related to the CoI (teaching, cognitive and social) presences. In addition, the results revealed that self- and co-regulation influence the CoI presences. Self-regulation had the highest influence on teaching and cognitive presence, while co-regulation influenced social presence.

The study’s convenience sampling method from a single university limited the applicability of the findings to other online learning environments.

Higher educational teachers who encourage student self- and co-regulation may enhance their online teaching, cognitive and social presence when studying online. The research’s findings may be valuable to teachers to enable them to provide a more collaborative and interactive online learning environment and promote productive online communities.

This study contributes to the body of knowledge about the relationship between teaching, social and cognitive presence and self- and co-regulation within the CoI framework. Furthermore, there has also been limited research focussing on the dynamics of shared metacognition within the CoI framework in an ODeL context.

During the Coronavirus crisis (COVID-19) that started in 2019 and at the extensive quarantine regulations, educational institutions, companies, and individuals have reacted by shifting their teaching and learning activities to virtual spaces. Yet, although the use of online learning has increased, it has not been able to achieve the long-promised transformative effect. The COVID-19 crisis has the potential to boost online education overall or at least enable better preparation of the system for the next crisis. Ultimately, to make a digital transformation sustainable, appropriate skills are required. In this study, we adapt the dynamic capabilities foundations creating a theoretical approach to explain how educational institutions have responded to the changing environmental conditions during the COVID-19 pandemic.

This study aims to construct a scale and identify the factors that might affect the implementation of gamification and Bloom's Digital Taxonomy-based assessment of students' learning, guided by the Goal-Setting Theory.

This study used a sequential exploratory mixed-methods design where data were collected qualitatively via interviews (n = 18) and field notes. Quantitative analysis was then applied via questionnaires (n = 96).

Four major themes emerged following thematic analysis of the observation notes and interview data: learning engagements; understandable learning goals; friendly competitions; and interactive learning feedback. A scale consisting of 32 items was developed based on the qualitative data. The quantitative data were then collected to evaluate the scale's factor structure using maximum likelihood exploratory factor analysis with Promax factor rotation. The final version of the scale had 29 items. The authors verified the alpha coefficients for each element and the entire hierarchy, ranging from 0.94 to 0.98 for the factors. The total scale was determined to be 0.96, and the Item Content Validity Index was considered valid.

The scale developed in this study is expected to inform future research and guide educators who wish to incorporate contemporary digital pedagogies in a different context. This study could also be beneficial to researchers who aspire to perform research on Goal-Setting Theory in the educational context.

This paper aims to present a comprehensive overview of the patterns and trends of publications on artificial intelligence (AI) in personalised learning. It addresses the need to investigate the intellectual structure and development of this area in view of the growing amount of related research and practices.

A bibliometric analysis was conducted to cover publications on AI in personalised learning published from 2000 to 2022, including a total of 1,005 publications collected from the Web of Science and Scopus. The patterns and trends in terms of sources of publications, intellectual structure and major topics were analysed.

Research on AI in personalised learning has been widely published in various sources. The intellectual bases of related work were mostly on studies on the application of AI technologies in education and personalised learning. The relevant research covered mainly AI technologies and techniques, as well as the design and development of AI systems to support personalised learning. The emerging topics have addressed areas such as big data, learning analytics and deep learning.

This study depicted the research hotspots of personalisation in learning with the support of AI and illustrated the evolution and emerging trends in the field. The results highlight its latest developments and the need for future work on diverse means to support personalised learning with AI, the pedagogical issues, as well as teachers’ roles and teaching strategies.

This paper aims to review the critical challenges and factors influencing the successful adoption of electronic learning (e-learning) systems in higher educational institutions before and during the current propagation of the coronavirus disease 2019 (COVID-19) pandemic.

This study undertook a literature review concerning the in-depth revision of previous studies published in 2020 and 2021. A total of 100 out of 170 selected research papers were adopted to identify and recognise the factors restricting the application of e-learning systems.

The findings determine and illuminate the most challenging factors that impact the successful application of online learning, particularly during the wide propagation of the COVID-19 pandemic. The review of the literature provides evidence that technological, organisational and behavioural issues constitute significant drivers that frontier the facilitation of the e-learning process in higher educational institutions.

The current paper suggests a guide for managers and scholars in educational institutions and acts as a roadmap for practitioners and academics in the educational field and policymakers as this research spotlights the significant factors challenging the e-learning process before and during the pandemic crisis.

The provided in-depth literature review in this research will support the researchers and system designers with a comprehensive review and recent studies conducted before and during the COVID-19 pandemic considering the factors limiting the e-learning process. This paper formulates a valuable contribution to the body of knowledge that will assist the stakeholders in the higher educational institutions' context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0085.