Search results

The purpose of this study is to explain how the quality of teacher-student relationships and the gap of cognitive styles between teachers and students impact student achievement. The population for the study was comprised of 11 career and technical education (CTE) teachers and 210 CTE students, representing six disciplines within CTE. The study occurred in a suburban high school in western North Carolina. Leader-member Exchange (LMX) theory and Adaption- innovation theory guided the research. Dyadic intensity between teachers and students predicts the quality of teacher-student relationships from both the teacher’s perspective and the student’s perspective. The quality of teacher-student relationships from the teacher’s perspective predicts the quality of teacher-student relationships student’s perspective. Further research is recommended to understand how leader-member exchange manifests in classroom settings and impacts student achievement.

We aimed to identify factors that influence student engagement in distance learning.

The research involved a group of 671 students from economic and technical higher education institutions in Poland. We collected the data with the CAWI technique and an original survey. Next, we processed the data using principal component analysis and then used the extracted components as predictors in the induced smoothing LASSO regression model.

The components of the students’ attitude toward remote classes learning conditions are: satisfaction with teachers’ approach, attitude to distance learning, the system of students’ values and motivation, IT infrastructure of the university, building a network of contacts and communication skills. The final model consisted of seven statistically significant variables, encompassing the student’s sex, level of studies and the first five extracted PCs. Student’s system of values and motivation as well as attitude toward distance learning, were those variables that had the biggest influence on student engagement.

The research result suggests that in addition to students’ system of values and motivation and their attitude toward distance learning, the satisfaction level of teachers’ attitude is one of the three most important factors that influence student engagement during the distance learning process.

The main value of this article is the statistical model of student engagement during distance learning. The article fills the research gap in identifying and evaluating the impact of various factors determining student engagement in the distance learning process.

This study aims to propose and validate a model for e-Learning success based on students’ experiences in the “new normal.” To achieve this goal, this study focused on answering three research questions: (1) What are the students’ experiential factors that impact e-Learning? (2) How do these experiential factors affect e-Learning success? (3) In what ways does a multimethod provide a comprehensive perspective and an in-depth understanding of students’ e-Learning experiences in the new normal?

This study applied a mixed-methods sequential approach using exploratory, confirmatory and complementary studies. First, this study undertook a text-mining exploratory analysis of the review data to extract e-Learning topics. Then, based on the Information Systems (IS) success model, this study identified an integrated framework drawn from the results of the text-mining analysis. Second, this study proposed an e-Learning, experience-based success model and corresponding hypotheses and conducted a confirmatory study with surveys to validate the model. Third, this study conducted in-depth interviews to better identify the phenomenon of interest.

The five factors extracted from the first stage are system quality, lecture content, teaching quality, online interaction and achievement. This study subsequently confirmed the significant relationships between the e-Learning success factors in the second stage based on the IS success model. Finally, a complementary study identified the importance of interactivity for e-Learning success in the new normal.

To the best of the authors’ knowledge, this paper is the first to develop an e-Learning success model using a comprehensive mixed-methods approach.

The purpose of this chapter is to describe the practices being implemented within the doctorate for Educational Leadership for Social Justice (Ed.D.) program at Loyola Marymount University. Furthermore, the chapter shares data from a qualitative method of inquiry to assess the program's efficacy. The goal of the program is to produce leaders who can advocate for social justice in educational settings, implement theory into practice, and lead to facilitate transformation in the field of education. The foundational elements of the program include a cohort model, a rigorous curriculum, supportive structures, and the culminating dissertation. Data from program graduates and their supervisors suggest that students are transformed in the program to respect, educate, advocate, and lead educational settings.

This study introduces three variables related to brands that have the potential to enhance university students' advocacy intentions. The research explores how university brand identification, the perceived prestige of the university brand and the social benefits associated with the university brand impact students' advocacy intentions. Additionally, the study examines the moderating role of gender in these relationships.

Cross-sectional surveys of 326 undergraduate students enrolled in a Spanish university, and structural equation modeling was used to test and validate the conceptual model.

The findings from the structural equation modeling indicate that university brand identification, perceived university brand prestige and university brand social benefits significantly influence students' advocacy intentions. Furthermore, the multigroup analysis reveals a gender difference in the factors influencing advocacy intentions. Female students demonstrate significance in all three antecedents, whereas male students only show significance in university brand identification and perceived university brand prestige.

The current study's findings provide several insights for higher education institutions in developing enduring and committed relationships with their students.

This study offers relevant insights into the body of research on university branding, explaining the students' advocacy intentions through the variables of university brand identification, perceived university brand prestige and university brand social benefits. Also, this study is a novelty in introducing empirical evidence for the importance of the moderating role of students' gender.

This study aims to explore students’ interests in multimodal texts by focusing on videos of social issues.

Data from 50 students in a first-year multilingual composition course were analyzed in two phases. Phase One examined 14 students’ reasons for self-selecting videos for multimodal analysis essays in one section of the course. Phase Two explored 50 students’ selected videos in four sections of the course across four semesters. The videos were classified as either problem- or solution-oriented to examine the students’ interests.

Analyzing the students’ responses in Phase One revealed that most of the selected videos included solutions to a social problem, and the students advocated the compelling ways in which the characters therein dealt with those problems. The findings for Phase Two revealed that the students’ selections were equally divided between problem- and solution-oriented videos. Nevertheless, a gradual increase in the selection of solution-oriented videos was observed over time.

A significant implication of this study is that it can help teachers expand their understanding of interesting and meaningful texts and make more engaging and effective instructional decisions.

The study contributes to the literature on text selection as it highlights students’ inclination toward what type of learning content interests them.

The purpose of this paper is to discuss the theoretical and practical need for research into the learning conditions that influence a student’s self-assessment of their competences in management education. By means of a theoretical review, the paper introduces a model that integrates various learning conditions related to a student’s affective learning ability and the role of the teacher that may have an influence on a student’s self-assessment of their competences in the field of management.

The authors describe the analysis of data from questionnaires on the experience of undergraduate students from business administration at the University of Las Palmas de Gran Canaria.

The results reveal the importance of a student’s motivation for professional development, their self-efficacy as well as the important role of the teacher in a student’s self-assessment of their competences.

The paper fulfils an identified need to study the conditions that influence a student’s self-assessment of their learning.

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 purpose of this paper is to identify the unique d

mensions associated with knowledge quality (KQ) based on students’ perception in an educational institution.

Purposive sampling was used to select students who were active users of the electronic-Learning (eLearning) system at two faculties in a single university. The qualitative data gathering employed an unstructured open-ended questionnaire distributed to the 52 selected participants.

The qualitative findings unearth the students’ perspective about quality of knowledge gained from content used in online courses. In total, 34 underlying sub-dimensions of KQ emerged, which were categorized into five KQ dimensions: intrinsic KQ, contextual KQ, representational KQ, accessible KQ, and actionable KQ.

The findings provide an insight to educators to consider KQ dimensions in providing quality knowledge to students in an eLearning environment.

Previous studies have used information quality dimensions to measure KQ because of a lack of conceptualization of KQ that leads to difficulties in operationalizing this construct. In this study, a conceptual and operational definition of KQ, in the context of eLearning, is proposed based on grounded data from students participating in an online learning environment.