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Self-regulated learning (SRL) is crucial for successful learning and lifelong learning in today’s rapidly changing world, yet research has shown that many learners need support for SRL. Recently, learning analytics has offered exciting opportunities for better understanding and supporting SRL. However, substantial endeavors are still needed not only to detect learners’ SRL processes but also to incorporate human values, individual needs and goals into the design and development of self-regulated learning analytics (SRLA). This paper aims to examine the challenges that lifelong learners faced in SRL, their needs and desirable features for SRLA.

This study triangulated data collected from three groups of educational stakeholders: focus group discussions with lifelong learners (n = 27); five teacher interviews and four expert evaluations. The groups of two or three learners discussed perceived challenges, support needs and willing-to-share data contextualized in each phase of SRL.

Lifelong learners in professional development programs face challenges in managing their learning time and motivation, and support for time management and motivation can improve their SRL. This paper proposed and evaluated a set of design principles for SRLA.

This paper presents a novel approach for theory-driven participatory design with multistakeholders that involves integrating learners, teachers and experts’ perspectives for designing SRLA. The results of the study will answer the questions of how learners’ voices can be integrated into the design process of SRLA and offer a set the design principles for the future development of SRLA.

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.

Employee training and learning have transformed over the years. The movement from classroom training to the blended format represents the magnitude of this evolution. This has placed much attention on self-regulated learning. This study aimed to understand the individual and organizational mechanisms that sustain the formal learning process in organizations. It explored the goals the organizations and employees strive to achieve by investing in learning. Through this, the authors investigated how technology assistance makes learning more goal-oriented, despite the possibility of different goals for different stakeholders. They also examined how person-job fit can be achieved in employee training.

The study adopted a grounded theory-based inductive approach using a qualitative inquiry that used in-depth interviews of employees working in the Indian IT/ITES sector. This sector is knowledge-intensive and engages in constant skill development. A content analysis of the interview transcripts unraveled the most relevant themes from the participants' discussion.

Individual learners use dimensions of self-regulated learning to set and achieve goals such as better performance and career development. On the other hand, organizations use learning support mechanisms such as better access and flexibility to direct employee learning behavior to achieve organizational goals. Focusing on goal congruence leads to better achievement of results. Goal congruence also implies good person-organization fit.

This research established how aligning individual and organizational mechanisms can help achieve training goals that ultimately contribute to organizational performance. The study differentiated itself by investigating training goal setting and goal achievement at two levels – organizational and individual – using a qualitative approach. It also showed how goal congruence is vital in improving organizational performance and how technology-enabled training practices rely on self-regulated learning and help achieve goal congruence.

This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance.

Three hundred and eighty-six university students recruited via opportunistic sampling completed an online survey to measure: understanding and level of IL, Motivated Strategies for Learning (MSL) (Duncan and McKeachie, 2005) and growth mindset (Dweck, 2000). Interaction with the university Virtual Learning Environment (VLE) and academic grades were also measured. A correlational design was implemented, and a Spearman Rho was calculated to explore the relationship between level of IL, MSL and growth mindset. A between-subjects design using independent measures t-test was employed to determine the significance of any difference in level of IL and VLE engagement according to academic grade.

Whilst most students: considered themselves an IL and understood what IL was, the majority erroneously believed it meant learning alone or without help. Level of IL, however, was positively associated with motivational beliefs (self-efficacy and mindset), cognitive strategies (rehearsal, elaboration, organisation and critical thinking), and metacognitive strategies (time management and self-regulation). Further, those with grades A-C scored significantly higher than those with grades D and below on cognitive strategies (elaboration and organisation). Those attaining higher grades also interacted with the VLE significantly more frequently and regularly than those attaining lower grades.

This study adds to the existing literature by highlighting the positive relationship between level of IL, MSL, mindset and academic achievement. It also addresses the under-explored potential for VLE engagement in predicting grades amongst on-campus courses. Given that cognitive strategies and VLE engagement differentiate the high and low achievers, interventions to develop such skills may enhance academic achievement.

This study examines learner satisfaction and success as mechanisms through which online learning quality translates into learners’ continuous intentions of use by extending DeLone and McLean’s information system success model. It also examines the moderating effect of perceived supervisory support and learners’ self-regulation on online learning quality in Higher Education Institutions.

Survey data were obtained from 540 students in both private and public higher institutions of learning in Ghana. The Partial Least Squares – Structural Equations Modelling (PLS-SEM) technique was used to test the hypothesised relationships.

The results revealed that system quality emerged as the single most important variable in the DeLone and McLean model, that influences learner success and satisfaction. Further, learner satisfaction has a significant positive effect on learner attitudes, whilst self-regulation was found to moderate the relationship between online learning quality and learner success as well as learner satisfaction.

The study appears to be among the first to explore the inter-relationship among online learning environment quality and learner attitudes and moderating factors perceived supervisory support and self-regulation. The study highlights insightful practical implications for students, faculty and administrators of higher institutions.

Teaching management information systems (MIS) fundamental course remains a challenging task to date, encountering several continuing complaints from students as well as instructors, as per several studies. Several reasons are reported, some of which are related to little embrace of more innovative non-traditional techniques, and limited literature guidance on selection and effective use of appropriate strategies to various settings. Toward instructional innovation, this paper proposes and tests a pedagogical instrument. By introducing this tool, the ultimate objective is to minimize the confusion that students usually encounter during this course and to empower the instructors in the delivery of its interdisciplinary knowledge.

A triangulation of four methods is being employed: conceptual development, experimentation for 12 years, assessment in light of the self-regulated learning theory, and empirical analysis. For the latter method, an open-ended questionnaire as well as group interviewing were carried out.

The proposed instrument (need-function instrument [NFI]) was found to be in support of self-regulated learning to a promising extent in terms of its four core aspects. The participants were more inclined to accept as well as appreciate the instrument than report drawbacks. Yet, there are few complaints for the inability to distinguish between two introduced terms, ‘Information Problem’ and ‘Operations Problem’. Therefore, a future effort is deemed necessary to explore this aspect.

The results are based on a single case of educational institution which is not enough to generalize for other educational environments. Future research is necessary for testing in a variety of settings in terms of type of classroom, number of students enrolled, type of institution (public or private), etc.

Whereas the instrument is anticipated to render improvements in the students’ understanding of MIS content and to alleviate the task of the course leader in delivering the course, there are possible practical implications that should be paid careful attention to. They were analyzed in terms of four dimensions: the Instructor, the Student, the Classroom and Time.

The paper introduces a new pedagogical instrument/tool for teaching the MIS fundamental course.

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 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.

The lack of physical contact and the absence of nonverbal clues could make some learners uncomfortable interacting with others via online learning platforms. Hence, understanding the determinants of students' motivation and engagement in online learning platforms is crucial in harnessing digital technology as an enabler of unrestricted and quality learning experiences.

Drawing on the self-determination theory (SDT), this study investigates the factors associated with student’s motivation to learn (MOL) and their influence on online learning engagement (OLE). Data were collected from 228 university students from the Klang Valley region of Malaysia using the online survey method.

The results of data analysis using the partial least squares structural equation modeling indicate that self-directed learning, computer and Internet self-efficacy and online communication self-efficacy significantly influence MOL. Besides, these factors indirectly influence OLE through MOL.

This study adds to the SDT framework by demonstrating how students' perceptions of autonomy, competence and relatedness through online interaction relate to MOL and OLE.

Many master’s students enrol in coursework-based programmes to improve their professional knowledge and skills for the job market. Most studies of employability in higher education focus on undergraduates rather than master’s students, although the number of master’s students worldwide has increased significantly in recent years. This study explores the factors involved in the perceived employability (PE) of master’s students in Hong Kong.

The authors first proposed a conceptual model of PE based on the social cognitive career theory. Using survey data from 786 master’s students in Hong Kong, the authors applied descriptive statistics and an ordinary least squares (OLS) regression to address the following research questions: How do master’s students gauge their PE? How do person, learning and environment variables influence the PE of master’s students?

The authors found that PE is influenced by students' approaches to learning and their institutional career support.

Few studies examined whether students' learning experiences during the master’s programmes influence their employability. This study highlights the importance of learning experiences and career support in coursework-based master’s programmes for enhancing graduate employability.