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This study was designed to assess the efficacy of pedagogical and relationship-building strategies employed to foster student engagement and success. Also, it was meant to demonstrate the importance of faculty to engagement and success, and emphasize a faculty member's role in lessening the power divide that can exist in classrooms.

First, archival survey data were explored that provide a baseline for student perceptions of the interactions with faculty that have been shown to impact student engagement. Second, an in-depth description of the course taught by this author is provided, along with the relationship-building and pedagogical strategies employed to promote student engagement and learning. Finally, a mixed-methods approach was utilized to capture whether improved engagement and learning occurred. Both qualitative data, in the form of student opinionnaires, and quantitative data gathered from the institution's assessment instrument were reviewed.

A review of the qualitative survey data found that students believe faculty should be very intentional about building relationships with them. Student opinionnaires confirmed the efficacy of the relationship-building tactics employed by the instructor. Additionally, data analysis of the learning assessment tool yielded an 18% increase in performance, lending further support to the classroom strategies utilized during this time.

The results of this study add to the body of literature addressing the impact faculty have on student engagement. Additionally, these results can be used to help inform institutional strategies, such as faculty development seminars, to improve retention as a result of an engaged student body.

The COVID-19 pandemic has dramatically changed educational practices due to the intense use of information technology for teaching and learning. That phenomenon presents challenges for lecturers in higher education establishments because student engagement is threatened during online interactions. This study aims to analyze the effectiveness of the SME project for maintaining student engagement during online learning.

The research used a quasi-experimental method involving experimental and control groups. Researchers collect quantitative and qualitative data to obtain comprehensive information. The data were collected using an electronic questionnaire. Descriptive statistics, one-way ANOVA, and open coding were used to analyze the data.

The research used a quasi-experimental method involving experimental and control groups. Researchers collected quantitative and qualitative data using an electronic questionnaire to obtain comprehensive information. Descriptive statistics, one-way ANOVA, and open coding were used to analyze the data.

This study provides the educational community with a new insight into optimizing PBL in the online learning environment. Qualified PBL, as practiced by educators, will lead to student engagement, which leads to meaningful learning.

Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students’ engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived autonomy (PA), digital informal learning (DIL) and students’ engagement.

The study collected survey data from 409 participants at Saudi Arabian universities, ultimately using 387 valid responses for analysis. This dataset was subjected to a thorough examination to confirm the validity of our proposed model. To decipher the complex interactions within our model, we utilized partial least squares structural equation modeling (PLS-SEM). The study adopted a disjoint two-stage method to formulate a reflective-formative higher-order construct (HOC).

The study's findings showed that cognitive learning (CL), metacognitive learning (MCL) and social and motivational learning (SML) are the essential components of DIL. Significantly, the study determined that AI competence, chatbot usage, PA and DIL markedly affect students’ engagement. Moreover, the R² value of 0.592 for student engagement indicates the model's robustness in explaining 59.2% of the variance, highlighting its effectiveness in identifying key drivers of student engagement in DIL contexts.

This research enhances understanding by detailing the intricate relationships among AI competence, chatbot usage, and students’ engagement in informal digital learning. It extends SDT to emphasize intrinsic motivations and AI capabilities, introducing reflective-formative HOCs for comprehending educational intricacies. It provides practical strategies for enhancing AI abilities and chatbot use in education, promoting personalized, engaging and autonomous digital learning spaces, thereby advancing educational theory and practice.

With the advent of the COVID-19 and increased access to Internet technologies, students tend to use e-learning technologies for improved academic results, and since then, improving student engagement in a virtual space became a difficult task for educational institutions globally. The present study aims to examine the effect of key e-learning factors (i.e. perception, hedonic motivation (HM), usefulness, empowerment and attitude) on student engagement among open and distance learners (ODLs) of the central region of India.

Simple random sampling was applied to collect data from ODLs of Chhattisgarh. ODLs who are using e-learning platforms for at least one year were chosen to be the participant in the study. The authors collected 1,137 responses using both online and offline modes of collection.

The test results indicated that usefulness, HM and attitude factors were found to have a significant relationship with student engagement in e-learning, while perception and empowerment variables did not contribute to the engagement of students.

The present study is novel in its approach. It clarifies the key factors to student engagement which might increase the students' level of involvement in e-learning technologies, if these factors are addressed tactfully by the educational institutions or concerned administration.

The purpose of this paper is to describe an online faculty development pilot course on how to engage students online. A framework was used, referred to as the Trifecta of Student Engagement, for the design of the course. The Trifecta of Student Engagement proposes that students, in order to be fully engaged in a course, need to be engaged with their course content, with their peers and with their instructor. The course has three units of content that each correspond to the Trifecta of Student Engagement. This course has gone through one pilot with faculty and has impacted students and faculty positively.

An online faculty development course was piloted with eight faculty members across a range of disciplines who participated in the program. After taking the course, they had to apply the Trifecta of Student Engagement framework to a course they taught and share what they did via written report, webinar, or web presentation. This study summarized the faculty participants’ written reports and presentations as well as provided a qualitative evaluation on the impact this course had on students and faculty.

After faculty applied the Trifecta of Student Engagement framework to courses taught, faculty saw an improvement in student engagement, satisfaction, learning and achievement. Three faculty surveyed students to determine their engagement and satisfaction and found students to respond positively to the use of tools and activities for student-to-content engagement, student-to-student engagement and student-to-instructor engagement. Two faculty examined student grades to determine if there were changes in student outcomes. One professor saw average grades increase by 11 percent. Another professor saw grades improve by 8 percent. She also found that student assessment of learning increased by 0.57. Both faculty attributed the improvement to the effectiveness of the teaching strategies employed.

This research is limited to the eight faculty who participated in the pilot. Some faculty used methods to attempt to measure the impacts of their teaching practices by surveying students and looking at student performance data. A second pilot is needed for additional faculty to take the course and apply the Trifecta of Engagement framework to generate more data for impact.

Institutions looking to create an online teaching professional development course for faculty can utilize the Trifecta of Student Engagement framework for their course design. Additionally, faculty can read about tools and strategies that they can immediately apply to create more student-to-content engagement, student-to-student engagement and student-to-instructor engagement.

Faculty can be more intentional in how they engage students in their online course experience.

This paper adds to the literature on faculty development regarding student-centered teaching practices. Other institutions looking to create a faculty development course or program that utilizes a student-centered framework may find aspects of this paper useful for their own online teaching professional development initiatives.

The purpose of this study is to examine learning and employee-driven innovation (EDI) in the public sector, with a particular focus on the interplay between employee engagement and organisational conditions.

The material consists of qualitative interviews with 23 participants from three municipal sites of innovation support that participated in a national programme aiming to strengthen municipalities’ innovation work.

The study found numerous constraining organisational conditions resulting in consequential loss of employee engagement for EDI. The conclusion drawn is that employee engagement and enabling organisational conditions are central to EDI in public sector workplaces, and that incorporating EDI into municipal daily operations requires paying attention to the interplay between organisational conditions and employee engagement.

This paper provides important guidance for supporting EDI in the public sector. Implementing EDI into operations requires employee engagement to be successful. However, employees’ engagement should not be overlooked or taken for granted. A practical implication of this study is that EDI in the workplace must be encouraged by creating a learning environment that supports innovative learning in the workplace. In practice, measures should be taken to support employee engagement by creating organisational conditions that provide a more expansive learning environment to ensure the continuity and perpetuation of EDI in public sector organisations.

Learning from errors is a complex process that requires careful support. Building on affective events theory, the purpose of this paper is to explore how a supportive learning from error climate can contribute to social learning from errors through affective and cognitive error responses by individual professionals.

A total of 139 early-career auditors completed an online questionnaire consisting of validated survey scales, allowing for serial mediation analysis to compare direct and indirect effects.

Learning from error climate was directly and positively related to engagement in social learning activities after committing an error. Furthermore, the authors found a double mediation by error strain (an affective error response) and reflecting on errors (a cognitive error response) on this relationship.

Organizations can actively encourage professionals to learn from their errors by creating a supportive learning from error climate and holding professionals accountable for their errors.

The present study enriches the authors’ understanding of the mechanisms through which learning from error climate influences engagement in social learning activities. It extends prior research on learning from errors by investigating the sequential effects of engagement in error-related learning activities performed individually and in social interaction.

Grounded in second-language acquisition (SLA) field, with a particular focus on the positive psychology (PP) theoretical perspective, this study examined the potential interplay between learning engagement (LE) and language learning strategies (LLSs), and their impact on language learning achievement of Saudi English as a foreign language (EFL) learners.

This quantitative study adopted a cross-sectional design using an online questionnaire distributed to 168 Saudi EFL college-level students in Saudi Arabia. Various statistical analyses (descriptive analyses, correlations and simple linear regression) were used.

The findings revealed that the most frequently LLSs used were metacognitive, followed by compensation, cognitive, affective, social and memory strategies. High levels of behavioral, followed by cognitive, emotional and agentic, engagement were reported. There was a significant and positive correlation between LLS and LE. LLS use and LE were significant predictors of language learning achievement.

The findings contribute to the domain of second language (L2) educational research and SLA field by emphasizing the importance of researching positive psychological factors such as engagement in relation to individual learners' learning strategies and styles to enhance learners' language learning achievement. A number of pedagogical implications for policymakers, educational stakeholders and foreign language teachers were provided.

The aim of this paper is to explore the importance of individual learner differences and the effect differentiated instruction (DI) has on learners' levels of engagement.

The author carried out this research using a small-scale action research (AR) study.

The findings suggest that in acknowledging and responding to individual learner differences, especially interests, levels of learner engagement are positively affected.

This study’s key limitations were sample size, short-term study and potential teacher as researcher bias.

Recommendations were made for a further longitudinal study into the relationship between DI and language learner levels of engagement at University. An additional study into DI that looksbeyond language learning at HE, could add value to pedagogic approaches, which could make courses of greater intrinsic value to its students.

This research study aims to help fill a gap in the literature on the application of DI, as well as a unique perspective into its effect on learner engagement within a university context.

The research paper examines the complex relationship between gamification, student engagement and academic performance in educational environments. The study employed a structural equation model that highlights important connections among key constructs within the educational setting.

This research aims to explore the connection between gamification, student engagement and academic performance in educational settings. The study employs various statistical techniques such as factor analysis, Kaiser–Meyer–Olkin (KMO), Bartlett’s test, component transformation matrix, correlation and regression analysis, descriptive statistics, ANOVA, coefficients and coefficient correlations, residual statistics and confirmatory factor analysis (CFA) to analyze the data.

It was found that active participation by the instructor and good time management skills have a positive impact on student engagement levels (β = 0.380, p < 0.001; β = 0.433 and p < 0.001). However, peer interaction does not significantly predict student engagement (β = −0.068 and p = 0.352). Additionally, there is a positive correlation between student engagement and performance (β = 0.280 and p < 0.001).

The study highlights the importance of innovative design to fully utilize gamification. Future research should consider design, user characteristics and educational context. The findings can guide informed decisions about gamification in education, fostering motivation and learning objectives.

The study presents a reliable tool for assessing student engagement and performance in educational settings, demonstrating high Cronbach’s alpha and robust reliability. It identifies student engagement and time management as significant predictors of Global Learning Outcome. The findings can inform decisions on implementing gamification in educational settings, promoting intrinsic motivation and aligning with learning objectives.

The research highlights the transformative impact of gamification on educational practices, highlighting its potential to enhance student experiences, motivate, promote diversity and improve long-term academic performance, highlighting the trend of integrating technology into education.

In today’s ever-changing education landscape, it is essential to incorporate innovative techniques to keep students engaged and enthusiastic about learning. Gamification is one such approach that has become increasingly popular. It is a concept that takes inspiration from the immersive world of games to enhance the overall learning experience.