Search results

This study intends to investigate the determinants of learners' continuance intention to use massive open online courses (MOOCs) for personal or professional development.

This study employed quantitative research design. The respondents were individual learners from six selected universities in China who used MOOCs for continuous learning. A purposive sampling technique was employed to obtain 270 valid samples. Data were analyzed and analytical outputs were produced using the techniques of Partial Least Squares Structural Equation Modeling and Importance-Performance Matrix.

Expectation confirmation was found to have a positive relationship with perceived usefulness, flow experience, learning self-efficacy and satisfaction with MOOCs. Perceived usefulness, flow experience and leaning self-efficacy were also found to have a positive relationship with MOOC satisfaction. In addition, perceived usefulness, flow experience, learning self-efficacy and MOOC satisfaction had a positive impact on continuance usage intention.

The outcomes of the study can serve as a practical reference for MOOC providers and decision-makers to develop relevant strategies to increase the course completion rates.

The purpose of this paper is to report on an interprofessional (IPE) student training scheme recently conducted in three care homes across the Northwest of England. The intervention was designed as a feasibility study to explore the impacts such schemes have on residents, students and care home staff. Additional lessons emerged that contribute to the design and direction of future IPE initiatives in other care homes and care settings.

This case study outlines how the intervention was designed and implemented and the findings from its evaluation. This paper uses Biggs’ (1993) presage–process–product framework to evaluate the process of setting up care homes as a site of collaborative learning.

Collaborative working between stakeholders is necessary for the successful implementation of IPE in care home settings. The process is complex and requires communication and commitment across all levels of engagement. For this model to grow and have a beneficial impact on older people’s lives, there are layered factors to consider, such as the socio-political context, the characteristics of the individuals who participate and diverse approaches to learning.

This case study reports the subjective views of the research collaborators. While this raises the potential for bias, it presents an “insider” perspective of the research process and offers learning that might be beneficial in efforts to run future IPE training schemes.

To the best of the authors’ knowledge, no other research studies or published interventions have been identified that explicitly address the experiences of implementing an IPE training scheme in UK care home settings. This paper will therefore be useful to academic researchers, individuals managing student placements and to health and social care staff who wish to learn about of the value of IPE learning schemes.

This research aims to determine the levels of education quality (EQ), technology usage (TU), students' satisfaction (SS) and the impact of EQ on SS. Also, it seeks to find out how TU as a moderator affects EQ and SS in Pakistani private higher education institutions (HEIs).

A total of 440 postgraduate students at eleven private universities in Lahore, Punjab Province, Pakistan, participated in empirical research and data were obtained through the use of an online questionnaire. Simple random sampling was used to choose participants and partial least square structural equation modeling was employed to analyze the data.

The findings revealed that Pakistani private HEIs have a medium level of EQ, TU and SS. Furthermore, the data reveal the existence of a significant positive relationship between EQ and SS, whereas TU as a moderator was found to negatively affect EQ and SS.

Postgraduate students of private HEIs in Pakistan were considered for this investigation and this study was limited to testing only in Punjab province. Another limitation of this study is that it was based on a research framework from previous research and literature. This study employed questionnaire surveys to conduct evaluations of teachers' teaching quality by university students. Furthermore, the questionnaire employed student self-evaluations to assess the quality of teaching. The research data would be more detailed if it were possible to include teachers' self-evaluations of their teaching quality.

The current study provides key insights for policymakers, higher education commission and HEIs. The results suggest leveraging the identified medium levels of EQ, TU and student satisfaction in Pakistani private HEIs. In an effort to boost the medium levels, policymakers are encouraged to enhance the teaching and learning experience by robustly integrating Web 4.0 technologies. Institutions can intervene strategically by investing in infrastructure and innovative tools aligned with students' technological needs. Likewise, policymakers and institutions can optimize learning management systems (LMS) by developing and implementing policies that encourage their adoption and optimization across HEIs. This may contribute to the accomplishment of the United Nations' sustainable development goal of providing quality education. Moreover, with the help of this research HEIs can establish minimum quality standards regarding academic teaching and learning materials. Implementing the above-mentioned practical implications might boost student satisfaction in HEIs which would benefit not only students but also the institutions.

The novelty of the article lies in the fact that it addresses the gap in the existing literature by exploring the levels of EQ, TU and student satisfaction in the context of private higher education in Pakistan. Furthermore, this study investigated whether TU served as a moderator in the relationship between student satisfaction and UNESCO-recommended EQ. This study elaborates on EQ indicators recommended by UNESCO in Pakistan’s private higher education sector.

While the Chinese securities market is booming, the phenomenon of listed companies falling into financial distress is also emerging, which affects the operation and development of enterprises and also jeopardizes the interests of investors. Therefore, it is important to understand how to accurately and reasonably predict the financial distress of enterprises.

In the present study, ensemble feature selection (EFS) and improved stacking were used for financial distress prediction (FDP). Mutual information, analysis of variance (ANOVA), random forest (RF), genetic algorithms, and recursive feature elimination (RFE) were chosen for EFS to select features. Since there may be missing information when feeding the results of the base learner directly into the meta-learner, the features with high importance were fed into the meta-learner together. A screening layer was added to select the meta-learner with better performance. Finally, Optima hyperparameters were used for parameter tuning by the learners.

An empirical study was conducted with a sample of A-share listed companies in China. The F1-score of the model constructed using the features screened by EFS reached 84.55%, representing an improvement of 4.37% compared to the original features. To verify the effectiveness of improved stacking, benchmark model comparison experiments were conducted. Compared to the original stacking model, the accuracy of the improved stacking model was improved by 0.44%, and the F1-score was improved by 0.51%. In addition, the improved stacking model had the highest area under the curve (AUC) value (0.905) among all the compared models.

Compared to previous models, the proposed FDP model has better performance, thus bridging the research gap of feature selection. The present study provides new ideas for stacking improvement research and a reference for subsequent research in this field.

This paper examines the evolution of massive open online courses (MOOCs) literature over the past 15 years and identifies its significant developments.

Utilizing main path analysis (MPA) on a dataset of 1,613 articles from the Web of Science (WoS) databases, the authors construct the main pathway in MOOC literature through a citation analysis. Pajek software is used to visualize the 34 influential articles identified in the field.

Three phases emerge in MOOC research: connectivism as a learning theory, facilitating education reform and breaking barriers to MOOCs adoption. Multiple-Global MPA highlights sub-themes including self-regulated learning (SRL), motivation, engagement, dropouts, student performance and the impact of COVID-19.

First, data limitations from the WoS core collection might not cover all research, but using reputable sources enhances data validity. Second, despite careful algorithm selection to enhance accuracy, there remains a limitation inherent in the nature of citations. Such biased citations may result in findings that do not fully align with scholars' perspectives.

The authors' findings contribute to the understanding of MOOCs literature development, enabling educators and researchers to grasp key trends and focus areas in the field. It can inform the design and implementation of MOOCs for more effective educational outcomes.

This study presents novel methodologies and important findings for advancing research and practice in MOOCs.

Errors are increasingly recognized as beneficial to the learning process and are more frequently integrated into training curriculums. Despite this growing interest, the work carried out so far offers little evidence highlighting the psychological qualities implicit in learning from error. By focussing on the role of specific trainee’s attributes [i.e. learning goal orientation (LGO) motivation to learn and metacognition], this study aims to better understand the reasons why some trainees benefit more (than others) from being confronted with errors during training.

A total of 142 trainees took part in this study by participating in a training on interviewing techniques that also exposed them to various committable errors, and by completing questionnaires at two different times (i.e. before and after training).

Results of bootstrap regression analysis highlights three main findings: LGO is positively linked to learning from errors; a significant portion of the link between LGO and learning from error is explained by motivation to learn and metacognition; and these effects are presented in the form of a double-mediated model which suggests two different explanatory pathways (i.e. motivational and cognitive).

To the best of the authors’ knowledge, this study is among the first to offer insight on the psychological attributes influencing learning from errors and to bring forward the role of two underlying mechanism that are linked to this specific type of learning. It also invites researchers and practitioners to reflect on the best ways to make use of errors in training and promote the value of personal attributes on trainees’ learning experience.

The importance of metacognitive awareness in learning, on the one hand, and the necessity of considering demographic variables, on the other hand, have encouraged the researchers to conduct this research. This research aims to initially determine the relationship between the level of metacognitive awareness and demographic variables of students from three Lithuanian universities, such as age, gender and area of study.

The quantitative research strategy was applied in this study using the survey with the students scoring the Metacognitive Awareness Inventory (MAI). The research involved 296 students from three universities in Lithuania. Data were analysed using statistical analysis methods to compare different groups of subjects according to selected criteria.

It became evident that two demographic variables of age and the field of study had a relationship with knowledge of cognition. Conditional knowledge had a positive relation with the variables of age and the field of study. Procedural knowledge was the second area which had a relation with the area of this study. Therefore, it maybe be concluded that under specific circumstances, declarative and procedural knowledge is at the same level of performance while conditional knowledge revealed the highest relation with metacognitive awareness. Furthermore, no statistically significant difference was found with gender in all metacognitive subcomponents despite the initial assumption.

One of the limitations of this study is that the research did not address the actual application of metacognitive strategies during teaching and learning. The research would benefit from in-depth class observation and triangulation of data from various sources. The teaching model should be tested in a larger population to obtain aggregated results for a vast population.

Results are significant in identifying students' cognitive abilities which can be attributed to various factors such as creativity, which in turn may efficiently foster students' potential. Metacognitive awareness can be developed by explicitly informing students about the importance of metacognition and life-long learning. Lecturers' role-modelling induce students to continuously assess, monitor, plan and reflect on their own learning process as well as to recognize cognition along with metacognitive prompts, questions, checklists, reports and discussion of topics in the learning process.

The Covid-19 period has led to defining changes in the teaching process. Therefore, it is essential to explore how teachers have approached these changes, what experiences they have gained and what they have tried to change. This study aims to elucidate how innovative practices were applied in teaching – which was influenced by emergency remote teaching (ERT) – and better understand teachers' experiences related to these practices.

The phenomenology design, a qualitative research model, was executed in the current study. Phenomenological inquiry aims to interpret people's experiences about a specific concept designated as a phenomenon. Creswell (2020) classified two types of phenomenology: interpretive and descriptive. Interpretive phenomenology was employed in the current study as researchers collected data from individuals experiencing the phenomenon, collected and interpreted the data via excluding their own experiences.

As a result of the data interpretation, four themes related to experiences of innovative teaching practices during ERT were discovered: interpretation of innovative teaching, innovative teaching practices, needs related to innovative teaching and challenges to innovative teaching. The categories related to the interpretation of innovative teaching include positive and negative interpretation. The categories related to the second theme, innovative teaching practices, consist of characteristics of innovative teachers and innovative teaching practices employed. The categories related to the third theme, needs related to innovative teaching, are the need for guidance, training and technological infrastructure. The categories related to the fourth and final theme, challenges to innovative teaching, are barriers related to the teacher, barriers related to the learner and those related to the environment.

This study discovered that for teachers to practice innovative teaching, they must develop themselves, keep up-to-date and develop lifelong learning skills. Hung and Li (2017) reached a similar conclusion to the findings of this study: teachers' professional development is positively related to innovative teaching skills at a high level. The participating teachers stated that they had to rapidly improve their technological competency. It is thought that teachers developing their technological competencies will contribute to both ERT and face-to-face education at the end of the Pandemic.

One key aspect of European curriculum reforms is to empower students with the skills needed to engage actively in the pluralistic and multicultural global society of the 21st century. This study aims to examine the extent of multicultural education within the national core curricula of three European countries: Hungary, Finland and Ireland, focusing on its role in fostering social acceptance through education.

A qualitative research applying discourse analysis was conducted to identify key multiculturalism concepts within the curricula. The analysis concentrated on understanding how multiculturalism is portrayed through various perspectives, emphasizing situational meanings and frameworks. Furthermore, a comparative analysis of the findings was carried out.

The research found that all three curricula contain the concept of multicultural education, although the extent of emphasis varies. The Hungarian National Core Curriculum (NCC) primarily emphasizes national values and sporadically addresses multicultural issues, often from a local perspective. In contrast, the Irish NCC is tolerance-oriented, stressing not only the understanding of different cultures but also the importance of accepting them. The Finnish NCC reflects a global perspective and emphasizes respect for different cultures and minority groups, with a pluralistic approach.

This study enhances our understanding of the discourse of multiculturalism within the curricula of three European countries, emphasizing both their similarities and differences. Additionally, it underscores the crucial role that curricula can play in effectively implementing multicultural education.

This study attempts to evaluate the effect of the corpus-based inductive teaching approach with multiple academic corpora (PICA, CAEC and Oxford Corpus of Academic English) and conventional deductive teaching approach (i.e., multiple-choice items, filling the gap, matching and underlining) on learning academic collocations by Iranian advanced EFL learners (students learning English as a foreign language).

This is a quasi-experimental, quantitative and qualitative study.

The result showed the experimental group outperformed significantly compared with the control group. The experimental group also shared their perception of the advantages and disadvantages of the corpus-assisted language teaching approach.

Despite growing progress in language pedagogy, methodologies and language curriculum design, there are still many teachers who experience poor performance in their students' vocabulary, whether in comprehension or production. In Iran, for example, even though mandatory English education begins at the age of 13, which is junior and senior high school, students still have serious problems in language production and comprehension when they reach university levels.