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The role of entrepreneurship in addressing the issue of educated unemployment is well acknowledged, while its specific implications for health professions students remain inadequately explored. This study's main objective is to investigate entrepreneurship education's effect on entrepreneurial intention by considering entrepreneurial self-efficacy as a mediator in students majoring in medical laboratory technology. This quantitative research uses an exploratory approach involving 300 respondents determined through simple random sampling techniques and analyzed using partial least square structural equation model (PLS-SEM). The analysis revealed that entrepreneurship education directly impacts self-efficacy and entrepreneurial intention. Furthermore, entrepreneurial self-efficacy was identified to exert a positive mediating effect between these variables. However, the effect size between the relationships of the research variables is low. Nevertheless, higher education offering health majors can optimize entrepreneurship education by implementing practical learning and field experience to increase confidence and intention in entrepreneurial activities.

The study delves into the behavioral shifts observed in "digital students" transitioning from distance to onsite learning during the Generation Z era, influenced significantly by the disruptive effects of the COVID-19 pandemic. Technological advancements have reshaped students' perspectives, rendering educational and organizational engagements more accessible via platforms like video conferencing. However, the return to onsite learning has prompted a notable culture shock, leading to heightened levels of stress and anxiety among digital students. This research aims to examine the psychological ramifications of stress and anxiety on post-pandemic student attitudes toward extracurricular organizational intention. Employing the depression anxiety stress scale (DASS-42) and conducting multiple linear regression analysis on a sample of 420 respondents, the study reveals a significant negative impact of stress level (-35.6%) on students' intentions to engage in organizational activities. Additionally, anxiety levels contribute to a variation of -6.8%. These findings underscore the intricate relationship between psychological factors and student participation, underscoring the imperative to address stress and anxiety to foster robust involvement in campus organizational endeavors.

The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research were to define an explanatory theoretical model and to test a multiple serial mediation model with four variables in series (one independent variable plus three mediators) to relate perceived utility (independent variable) in the use of a VTLE and perceived learning (dependent or criterion variable) in such contexts, taking into account the mediation of subjective norm (mediator 1), ease of use (mediator 2), and intention to use behavior (mediator 3), and using the extended technology acceptance model as the theoretical framework. Additionally, we aimed to analyze the direct and indirect relationships and effects among the variables that constituted the proposed model. Methodologically, the research can be classified as a cross-sectional causal ex post facto design. A representative sample of students enrolled in higher education institutions in the Dominican Republic was used as the research population, and a standardized Likert scale was administered to measure the five dimensions of the proposed model. Finally, it is worth noting that the obtained results indicate that all direct and indirect effects considered in the model were statistically significant, except for the indirect effect, where the four predictor variables were arranged in series to verify their influence on the criterion variable: perceived learning.

In both the educational and business environments, two trends may be inarguable. The difference between the demand of technology positions as compared to the number of people majoring or interested in technology-based careers. Secondly, the education environment is radically changing in several aspects including a high number of undecided majors entering undergraduate institutions as well as the ability of skills development by higher education students entering the marketplace. The recent and historic attention in artificial intelligence and machine learning technology may have an impact on both a change in the demand for total positions and interest in technology-based careers. This research study will investigate the attitudes and perceptions of first-year college students over four academic years to determine changes. Six of the factors studied were found to have significant differences between the research period: attitude, job availability, personal image, social image, subjective norm and intent to major. The intent to major has remained consistently low for three of the four years. The implications from this research will provide insight to both business organizations for recruiting as well as all educational institutions.

The percentage of international faculty members at Korean universities peaked in 2013 and has been decreasing since, suggesting that Korean universities have a problem with international faculty member retention. This study investigates whether international faculty members' intention to leave is associated with their degree of acculturation. Results are based on analyses of data from 325 international faculty members with doctorates working at Korean universities nationwide. Regression analyses reveal that acculturation, work-related conditions (salary, workload, workplace climate) and mobility-related motivational factors (job market in home country, interest in Korea) explain international faculty members' intention to leave. A 'cultural advantage' (ethnically Korean or living with a Korean spouse) is not a significant predictor of intention to leave. Suggestions to support international faculty members, and to help bring about synergistic organizational change are ventured in the hopes of bolstering retention at Korean universities going forward.

Gamification can make learning more fun and engaging for students. Software engineering can utilize gamification to help students learn and improve their skills from the complexity of software engineering. This study used quantitative research to examines perceived ease of use, student satisfaction, and perceived usefulness to measure gamification quality, which can have an impact on software engineering intention, namely intention, loyalty, and participation in following and understanding software engineering materials. The data was collected based on an online questionnaire survey, 90 data were collected and then measured and analyzed using SmartPLS 3. The results showed that perceived ease of use, student satisfaction, and perceived usefulness have a significant influence on gamification quality, which also leads to a positive impact on software engineering intention. This research guides teachers and educational institutions that gamification is very successful as a learning medium to simplify complex information to be more interactive.

Using the pull-and-push model as a main theoretical framework, this qualitative interview-based study explores the changes in STEM students' intentions to pursue international mobility in the context of the Russia-Ukraine war and the factors related to students' mobility decisions in the context of geopolitical tensions. The findings suggest that in situations with military conflict, STEM students are 'pulled' and 'pushed' to make decisions under the influence of the factors located both on the receiving and domestic sides, and the decisions of whether to pursue international mobility were primarily driven by safety, financial, and social tension concerns. The study's findings offer some theoretical and practical implications of the changes in student mobility in the context of war conflict for higher education institutions internationally.

Several studies have been conducted on e-learning acceptance among university students. Most of these studies examined various factors and individual characteristics as predictors of actual use and behavioral intention for e-learning systems. However, latent profile analysis was used in the present study, adopting a person-centered approach. Accordingly, the study's primary purpose was to define LMS acceptance profiles by grouping university students based on gender according to four main UTAUT predictor variables. The secondary purpose was to examine the extent to which LMS acceptance profiles had a relationship with the students' online self-regulation and engagement in online learning environments. The participants in the study were 397 students from a state university in Turkey who continued their distance education. Student Engagements Scale, Online Self-regulation Questionnaire, and Learning Management System Acceptance Scale were used to collect data. The obtained data were analyzed using latent profile analysis. The results obtained in the study revealed that there were three different student profiles: "very low LMS acceptance", "low LMS acceptance", and "high LMS acceptance". According to another result, it was seen that low online self-regulation and engagement had a relationship with a student profile with very low LMS acceptance and that high online self-regulation and engagement had a relationship with a student profile with high LMS acceptance. Based on the findings, various implications were made about increasing students' LMS acceptance.

The 4-H program is America's largest youth development organization (National 4-H Council, 2019). The 4-H program is part of the Cooperative Extension system, which provides unbiased, research-based educational programming to communities through the land grant university system (USDA, 2019). Volunteers play a major role in the delivery and functioning of Cooperative Extension's 4-H Youth Development program. 4-H volunteer leaders serve in various capacities (Radhakrishna & Ewing, 2011), including leading 4-H clubs, organizing educational clinics for youth members on various topics, and assisting with educational events and camps. Around ten thousand volunteers currently serve the Pennsylvania 4-H program. 1, 2018). In the 4-H program, volunteers often spend more time with youth and families than 4-H Extension educators and paid program staff, as they are the adults teaching and working with the youth. This can lead to volunteers having a closer relationship with 4-H members than 4-H staff. Despite volunteers' integral role in maintaining the 4-H program, Penn State Extension has not recently examined 4-H volunteer leaders' satisfaction (Dr. Josh Rice, , October 1, 2018 personal communication), reasons for volunteering, and turnover intention. Ensuring volunteers are satisfied and provided with conditions to thrive and grow through their work is vital to 4-H and the Cooperative Extension system. 4-H educators must understand volunteer service motivators (Cleveland & Thompson, 2007) to recruit and maintain dedicated and fulfilled volunteers. Therefore, the authors examined Pennsylvania 4-H Extension volunteers' experience with volunteering in a twenty-first century context. Results will help improve Pennsylvania Extension's 4-H program's service for volunteers, enhance volunteers' effectiveness in the Pennsylvania 4-H program, and improve clientele satisfaction. Services for volunteers include training and recognition programs. If volunteer feedback data support volunteer programming, they will likely make volunteers feel more satisfied with their experience (Pascuet et al., 2012).

This study investigates the reasons behind pre-service and in-service teachers' decisions to use digital literacy tools in their teaching following the COVID-19 pandemic. The objective is to understand the factors influencing their choices and to identify areas where support and training are needed. Semi-structured interviews were conducted with eight teachers from a university demonstration school in Thailand, evenly divided between pre-service and in-service teachers. The Technology Acceptance Model (TAM) framework guided the creation and adaptation of the interview questions. The findings indicate that pre-service teachers prefer digital tools that are easy to use, accessible, and affordable, with features such as templates, multimedia, and engaging functionalities. In contrast, in-service teachers prioritize familiar tools that save time and enhance the quality of teaching materials. Both groups value tools that facilitate collaboration and ensure privacy. The study highlights the significant generational differences in technology adoption, with younger teachers showing a greater inclination towards exploring a variety of digital tools, while more experienced teachers tending to stick with familiar technologies due to time constraints and comfort levels. These insights underscore the necessity for ongoing, tailored professional development programs that address the specific needs of both pre-service and in-service teachers. Such programs should focus on enhancing digital literacy, providing practical examples of new tools' benefits, and fostering a supportive community for technology integration. By understanding these differences, educational institutions can better support teachers in integrating digital literacy tools effectively, thereby improving teaching practices and professional development opportunities. The implications of this study suggest that a one-size-fits-all approach to technology training may not be effective, and differentiated support is essential to cater to the diverse needs of educators.

The use of language in digital discourse for marketing has rapidly developed through mass media. This paper elucidates how advertisers employ various pragmatic strategies to persuade the recipient to act (behavior) by purchasing specific products. This study utilized different theoretical and conceptual frameworks (Theory of Reasoned Action and Aristotle's Models of Persuasion) to address the shortcomings of the social cognitive approach in studying persuasion, to investigate how language of advertisements can influence the recipient's thinking of a product from a psychological perspective. Guided by the principles of TRA, the present study argues that persuasion in advertisements is structured by three dimensions: attraction (through language features and appeals), evaluation (through beliefs, attitudes, and intention), and behavior (social acceptance or reluctance). This study revealed eight persuasion techniques employed by advertisers including demonstrating distinction, honoring commitment, expressing authority, hyperbolizing, glorification, providing proofs, expressing solidarity, and proving success. Showing distinction and Honoring commitment were the most frequently used strategies. Additionally, the study found that strategies of persuasion involved ethical, logical, and emotional appeals for their large effect on the recipient as they contribute to the recipient's positive evaluations. Appealing to reasoning (logic) is the most common one in slogans.

This study investigates the factors influencing the adoption of Generative-AI tools amongst Thai university students, employing the Technology Acceptance Model (TAM) as a theoretical framework. Data from 911 higher education students from 10 different Thai Universities Health Sciences, Sciences and Technology, Social Sciences and Humanities, and Vocational Fields were analysed via Structural Equation Modelling (SEM). The instrument used in collecting the data was a questionnaire. Results indicated that Expected Benefits, Perceived Usefulness, Attitude Toward Technology, and Behavioural Intention all significantly impacted student adoption of Generative AI. Intriguingly, Perceived Ease of Use was negatively correlated with Perceived Usefulness, challenging conventional TAM assumptions. This study underscores the need to address language barriers, foster a culture of innovation, and establish ethical guidelines to promote responsible AI use within education. Despite inherent limitations, this research contributes to our understanding of AI adoption in educational settings and helps inform strategies for equitable access and responsible innovation. The result demonstrated that the easier a tool was to use, the less value leaners seemed to see in it for their learning process. It can be implied that as Generative AI get more intuitive, learners think they're less helpful. These finding challenges a few of those assumptions we usually make within the TAM model. It also points out the characteristic of learners which affects their learning preferences and expectation. Another finding showed the impact of language barrier on non-native English speaker that obstruct the user experience in AI services. Moreover, the role of universities in fostering both AI integration for learning for and the ethical implementation of Generative AI. By providing a supportive environment that encourages AI experimentation, redesign learning, empowering learners and faculty instructors to investigate how Generative AI can be applied across disciplines, and developing guidelines for ethical use, universities play a critical role in shaping the effective and responsible integration of AI into the next educational landscape.

Finding a way out for new business creation has been a global issue, and the Indonesian government has responded to this issue by promoting entrepreneurship programs for students. For this matter, understanding the role of the entrepreneurial ecosystem can be used to design and promote business for university students. This study employed structural equation modeling with partial least squares to raise understanding among variables. This study involved an entrepreneurial ecosystem to explain the intention of Indonesian university students to do business. The findings indicate that the entrepreneurial ecosystem robustly links with students' entrepreneurial intention and new business creation. This study confirms that access to finance, government programs, support, access to physical infrastructure factors, education, and training factors are crucial for determining Indonesian university students' business. The theoretical and practical implications were provided in this research.

The aim of this study is to examine the variables that influence the learners' intention of using online learning platforms and usage behavior continuity to evaluate relationships between variables with a model proposal and to determine the predictive power of the model. Accordingly, a sustained technology acceptance model (STAM) was developed to identify the factors that influence learners' intention and usage behavior of online learning. The sample of this study consisted of learners registered in the Anadolu University Open Education System. As a result of the factor analyses, a 42-item measurement tool consisting of eleven factors was developed. Structural equation modeling revealed that the eleven-structured model explained 49.8% of perceived usefulness, 30.3% of perceived ease of use, 39.4% of usage intention, and 52.4% of usage behavior continuity, and all 12 proposed hypotheses were supported. The analysis to determine the predictive power of the model revealed that it has a strong predictive power. The developed model is believed to be efficient in determining learners' expectations, supporting their adaptation to the online learning environment, and ensuring their continued usage.

Adapting the Technology Acceptance Model (TAM) framework, this study investigates English teachers' perspectives on the intention to adopt and integrate ChatGPT in their classrooms. This study utilizes quantitative cross-sectional research with 114 respondents answering the online questionnaire. The Structural Equation Modeling (SEM) statistical analysis through SmartPLS 3.0 was employed to analyze the collected data. The result indicates that the proposed TAM model in this study can predict ChatGPT acceptance in English language teaching. Additionally, the structural model showed that perceived usefulness, ease of use, and attitude toward using significantly and positively influenced behavioral intention. Furthermore, attitude toward using and behavioral intention significantly and positively impacted actual system use. Teachers' perspectives on ChatGPT uptake and integration into English language learning are critical to technological innovation. This paper could assist teachers in Indonesia and comparable regions in understanding and adopting ChatGPT in English language teaching.

This paper provides a thorough examination of the role of Artificial Intelligence (AI), particularly ChatGPT and other AI language models, in the realm of education. Drawing insights from existing literature and a novel study on educator perspectives, the paper delves into the potential advantages, ethical dilemmas, and factors shaping educators' attitudes towards AI integration in education. AI language models have the potential to revolutionize educational content creation, personalize learning experiences, and streamline assessment and feedback processes. These capabilities hold the potential to enhance teaching and learning outcomes while catering to the diverse needs of students. However, ethical concerns loom large in the adoption of AI in education. Bias in generated content is a chief concern, as it can perpetuate societal biases and lead to unfair treatment or the dissemination of inaccurate information. The solution lies in rigorous data curation to ensure equitable educational experiences for all students. Moreover, the potential for generating inappropriate or misleading content poses a significant ethical challenge, impacting students' well-being, civic understanding, and social interactions. Safeguards must be implemented to detect and rectify biased or inappropriate content, fostering inclusive and unbiased learning environments. Transparency emerges as a crucial ethical consideration. The opacity of AI models like ChatGPT makes it difficult to comprehend their decision-making processes. Enhancing model interpretability and explainability is vital for accountability and addressing embedded ethical issues. Privacy concerns related to data collection and usage are emphasized in the literature. Clear policies and guidelines must govern data collection, use, and protection, ensuring data is solely employed for educational purposes and maintaining robust data security measures. Our study expands upon these insights by exploring socio-demographic factors, motivations, and social influences affecting educators' AI adoption in higher education. These findings inform institutions on tailoring AI integration strategies, emphasizing responsible usage through training, and assessing the impact on learning outcomes. As educational institutions increasingly embrace AI, including advanced models like GPT-4, a cautious and thoughtful approach is vital. Balancing potential benefits with ethical challenges ensures that AI enhances teaching and learning while upholding fairness, equity, and accountability. In summary, this paper illuminates the potential of AI in education, accentuates ethical concerns, and highlights the significance of understanding educators' perspectives. Collaboration between educators and policymakers is essential to navigate the complexities of AI integration, ensuring that education remains a realm of equitable, efficient, and accountable learning experiences.

The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the technology. The relationships between TTF and BI was moderated by students' performance. This TTF provides an illustration of the extent to which the suitability of technology support for tasks will affect the performance and utilization of technology. There were 9 hypotheses examined in this study. The participants consisted of 151 students at a public university in East Java, Indonesia. In order to analyse the collected data, PLS-SEM (partial least squares -- structural equation modeling) was employed, using SmartPLS 3.0. In this study, several points can be concluded, namely: (1) task characteristics and technology characteristics were not positively and significantly effected by TTF, while students' characteristics had a positive and significant effect on TTF; (2) TTF and utilization which are influenced by social influence, have a positive effect on performance impact. In this case the performance impact is constructed from 3 dimensions, namely: learning performance, personal integrity, self-confidence, except TTF were not postitive and were significantly affected by self-confidence. (3) TTF and performance impact positively influence behavioural intention, except in the dimension of performance impact, personal integrity was not postively and significantly effected by behavioural intention.

Social distancing policies during the COVID-19 period have opened a space for interventions in the use of digital technology that was previously rejected by the public. Currently, most of the community activities have been carried out online, including those related to education, such as hosting virtual exhibitions with an educational purpose. Virtual exhibitions (VE) are online exhibitions that display information on specific topics. However, to the best of our knowledge, research on VE in the educational context is still lacking. This study aims to identify the variables that affect users' intentions to attend the virtual exhibition frequently. The channel expansion theory, flow theory, technology acceptance model, and expectation confirmation theory serve as the foundation for the research model that is constructed. The model was tested using data from 321 respondents who had visited VE, then analyzed using Structural Equation Modeling (SEM) with the aid of the SmartPLS application version 3.3.3. The findings show that 11 factors significantly influence the intention to continue using VE, while the other 2 factors have no significant influence. Thus, perceived usefulness has a significant effect on satisfaction and continued use intention to use VE, but not on perceived enjoyment. Furthermore, the perceived ease of use of VE has a significant impact on perceived usefulness and perceived enjoyment. However, media richness does not significantly affect perceived enjoyment. It's just that media richness influences perceived ease of use significantly. Confirmation also has a significant impact on perceived enjoyment, perceived usefulness, and satisfaction. Perceived enjoyment has a significant effect on satisfaction and continued use intention, and satisfaction has a significant effect on continued use intention to use VE. The findings are useful for VE providers and developers in developing a transformation strategy to increase the intention to use VE in every educational exhibition. [The publication year on the PDF is incorrect. The correct year is 2024.]

Research shows that videoconferencing tools can be used for delivering high-quality instruction in real-time to a large number of students simultaneously during and even in the aftermath of the pandemic. However, there is a lack of data on how favourable it is among students, particularly in the Philippine setting, in the field of Physical Education (PE). In this regard, this study aimed at inspecting exogenous factors linked to students' acceptance of a video-conferencing platform in learning knowledge- and skill-based concepts in Physical Education through the adaptation of the Technology Acceptance Model. After performing the Partial Least Square-Structural Equation Modelling from a purposively selected sample of 250 teacher education students, the results showed that perceived ease of use (PEOU) positively affected perceived usefulness (PU). It was also found that PEOU and PU impacted behavioural intention. Lastly, behavioural intention (BI) positively leverages actual use of the Zoom platform. It can be inferred that students can benefit greatly from using the video-conferencing platform to learn various PE concepts. Moreover, another surprising discovery was that students could use the platform to efficiently learn, thus capitalising on the university's educational system, even in the New Normal.

This study aims to identify factors that can influence students when using the learning management system (LMS) in learning educational pedagogy. The LMS that we mean in this study is Pedagogi.id Platform. The design model in the study uses the UTAUT model. Questionnaires with five UTAUT variables, namely performance expectancy, effort expectancy, social influence, facilitating condition, behavioral intention, and use behavior, were distributed to students at one of the universities in Bandung. Hypothesis testing or data analysis of this study using the Structural Equation Model (SEM) approach with the help of the SmartPLS application. The results showed that the entire hypothesis was accepted or had a significant influence between variables. The most potent factors shown based on the results of the magnitude of influence are the variables facilitating conditions on student usage behavior and performance expectancy on student behavior intention. Therefore, this study recommends learning by utilizing technology, especially in universities, to improve students' knowledge and skills, one of which is using the Pedagogi.id Platform.

The study aims to improve the existing unified theory of acceptance and use of technology (UTAUT) framework to understand the adoption of e-learning platforms in developing countries and to understand the relevance of the quality of study life among students. The constructs for the UTAUT model were chosen based on the e-learning study context and expanded with the variable study-life quality. The expanded model was tested with empirical data collected from graduate and post-graduate students of higher education institutes. The hypotheses testing and adequacy of the expanded model were analysed using structural equation modeling using SmartPLS v 3.2.8. The study's findings indicate that nine out of the twelve hypothesized paths significantly influenced students' engagement with e-learning platforms, and a total of six significant variables explained a variance of 65.8% of the dependent variable behavioral intention. The variable study-life quality had the highest [beta] coefficient value of 0.380, indicating that it is the most significant factor for e-learning adoption in this study setting. The study adds to the publication on adoption theories by providing an expanded UTAUT framework that is empirically tested.

This study examines the factors affecting the intention to use and actual use of YouTube in improving English-speaking skills in Indonesia. To meet the aims, we extended the theory of technology acceptance model (TAM); two external factors, subjective norms, and perceived enjoyment, to support the TAM variables (perceived ease of use, perceived usefulness, attitude, intention to use, and actual use). Data were collected through a survey with 526 measurable responses from Indonesian preservice English teachers in three Indonesian universities. The data were analyzed through partial least square structural equation modeling (PLS-SEM), measurement, and structural model. The findings informed that all hypothesized relationships were accepted and confirmed. The strongest relationship emerged between intention to use and actual use. Meanwhile, the weakest correlation was between subjective norms and perceived ease of use. The study facilitates recommendations for future researchers, language educators, and all related parties.

Massive open online courses (MOOCs) have gained popularity among sales professionals who use them for self-directed learning and upskilling. However, research related to their intentions to continue learning is scarce. Drawing from the social cognition theory, this research aimed to address this gap by investigating the role of task-technology fit, self-development, and social recognition in sales professionals' continued use of MOOCs. The study hinged on empirical research and used a survey to collect data from 366 sales professionals. The results suggest that task-technology fit, self-development, and social recognition play a significant role in sales professionals' continued use of MOOCs. The study has practical implications for organizations promoting employee learning and development. The findings provide valuable information for MOOC designers and providers to develop more effective courses that meet the needs of sales professionals.

Open universities have provided quality higher education through open and distance education to serve learners who could not attend traditional in-person universities. While open universities vary in terms of providing their services to learners at a distance, many have shifted to e-learning using cost-effective platforms. A common platform that is essential for online teaching and learning is the learning management system (LMS). While there are common processes observed among open universities in the way they use their LMS, there are also subtle differences caused by each institution's unique and special context. Their contextual challenges often drive them to develop technologies or techniques that may easily be adopted by others. Thus, benchmarking activities are often recommended for mutual improvement. In this regard, a comparative study of open universities in Indonesia, the Philippines, and Pakistan was conducted for decision-makers to understand how they could improve in providing quality education to their learners through Moodle, which is their primary LMS. The Delone and Mclean Model was used to systematically compare system, information, and service quality in e-learning delivered through their LMS. The authors hope that the results and recommendations from this study may help other educational institutions overcome similar challenges in their learning platforms.

This article presents an exploratory study that examines how 11 first-year writing instructors' conceptualizations of information literacy evolved over the course of their participation in an inquiry group co-developed and co-facilitated by the Libraries' teaching faculty and the Director of Composition & Rhetoric at a public university in the United States. The authors developed a coding schema to identify the presence of information literacy-related themes and practices in pre- and post-program course syllabi and in reflective pieces submitted by instructors. The findings revealed that instructors' use and applications of the ACRL Framework increased after the program, showing greater personal engagement as evidenced by more preferential application of frames most relevant to their learning goals. Moreover, instructors integrated those frames more fully into their instructional practices. The authors' analysis of instructor-created artifacts provides a unique lens into disciplinary instructors' conceptualizations of and approaches to information literacy while examining the impact of one path for collaboration and scalability of information literacy integration within a curriculum.

The COVID-19 pandemic has prompted significant changes in education, including a widespread transition from traditional, in-person instruction to online learning, which has also affected music conservatories. This study investigates the relationship between social outcome expectations and teacher satisfaction with remote education (SRE) among conservatory music professors during the pandemic. Rooted in the Social Cognitive Theory (SCT), the study examines whether technostress mediates this relationship and whether the intention to use information and communication technology (ICT) moderates it. A cross-sectional survey was conducted among 108 Italian conservatory teachers through an online self-report questionnaire. The results indicate a negative indirect effect of social outcome expectations on teacher satisfaction through technostress. However, surprisingly, the direct effect was positive and stronger. The study suggests that social expectations lead to technostress. Still, they also present an opportunity for music educators to embrace the challenge of remote education and increase their satisfaction with it.

The purpose of this paper is to analyze factors that affect the behavioral intentions of undergraduate students to use blended learning methods. The research uses the three-tier use model (3-TUM) to explore the influencing behavioral factors of students at the undergraduate level to use LMSs. "The research was carried out at a university and consisted of undergraduate students majoring in business-related fields. Students responded to online questionnaires administered at the end of the semester concerning their experience with the LMS." A customized Moodle platform was used to measure the user's perceived usefulness, perceived satisfaction, and perceived ease of use with the LMS. Results show that interactivity in portal and self-efficacy have a direct impact on all second-tier constructs, while multimedia instruction influences only perceived usefulness and perceived satisfaction. In addition, perceived usefulness impacts perceived satisfaction. Perceived usefulness and perceived ease of use significantly impact behavioral intention of students to use learning platforms, while the relation between perceived satisfaction and behavioral intention was unindicative. "The study confirms that the individual experience of users and the quality of the system affect the successful implementation of an LMS and its adoption by users."

The present study intends to investigate the determinants influencing students' behavioral intention and use of Google Classroom as an instrument for enhancing the learning experience in the domain of physical education. This investigation employed the Technology Acceptance Model (TAM) as a conceptual framework. The results revealed that perceived ease of use positively predicts perceived usefulness of the learning management system (LMS). Moreover, perceived ease of use and perceived usefulness positively influences behavioral intention and actual use. Lastly, behavioral intention to use leverages actual use of the educational platform. The results indicate that Google Classroom is a viable and efficient technology for facilitating online learning.

This study aimed to assess the readiness of Jordanian science teachers for integrating Artificial Intelligence (AI) in science education, focusing on their perceptions, challenges, and training needs. A quantitative survey methodology was employed, using a 35-item questionnaire distributed to 136 science teachers in urban Jordan. The questionnaire, developed and refined through expert peer review and a pilot study, encompassed demographics, attitudes towards AI, perceived benefits and challenges of AI in science teaching, self-efficacy in using AI, and behavioural intentions regarding its use. The results indicated varying teacher readiness levels, influenced by gender, educational background, and concerns over data privacy and security. While there was a general sense of optimism about the potential of AI, significant challenges related to limited resource access and insufficient professional development were identified. These results emphasized the need for targeted policy initiatives and training programs to enhance teachers' readiness for AI adoption. The study's insights contributed to understanding the facilitators and barriers to AI integration in science education, highlighting the critical role of teacher readiness in the effective utilization of AI in educational contexts.

The objective of this research aimed to establish a connection between the inclination towards lifelong learning and the degree of adherence to the curriculum among educators in primary and secondary educational institutions. In the 2021-2022 academic year, data for this screening model investigation were collected from 281 teachers employed in the central Karesi and Altieylül districts of Balikesir. The data were acquired using the 'Lifelong Learning Tendencies Scale,' designed by Diker Coskun (2009), and the 'Curriculum Fidelity Scale,' developed by Burul (2018). The data analysis employed descriptive statistics, Two-Way MANOVA, Pearson Correlation Analysis, and Regression Analysis. According to the results, it was detected that there were moderate lifelong learning tendencies and high degree of fidelity to the curriculum. Regarding the second discovery, it was established that school type and years of professional experience significantly influenced the differences observed in teachers' lifelong learning tendencies and their adherence to the curriculum levels. Furthermore, a statistically significant but modest correlation was identified between teachers' lifelong learning tendencies and their levels of curriculum fidelity.

Contrary to prevailing research on willingness to communicate (WTC) which treats spoken second language (L2) as the predominant indicator of WTC, this study examines a young English as a second language (ESL) learner's WTC expressed through multimodal means and her utilization of multimodal and multilingual resources for mediating WTC in translingual environments. Data were collected from videotaped ESL lessons and an interview. Adopting a multimodal conversation analysis (CA) approach, this cross-disciplinary study analyzes the ESL novice's WTC expressions in two communicative settings: small-group interactions in ESL class and a multilingual triad conversation in an interview. Findings reveal that (1) gestural WTC display can signify more than one's intention to enter discourse, (2) contrary to previous WTC studies, first language (L1) use can indicate L2 WTC, and (3) the learner used diverse semiotic resources to mediate WTC and sustain discursive engagement. Implications are discussed with respect to the findings. This study extends the understanding of WTC beyond spoken L2 expressions, emphasizing embodied display and L1 use in the learner's communicative repertoire. Additionally, it sheds light on the learner's strategic use of multimodal resources to sustain engagement in translingual environments, contributing to the broader field of language education and multimodal analysis.

This qualitative descriptive study examined the process of purpose development of nine (seven females, two males; M[subscript age] = 20.2, age range 18-21 years) college students who completed interviews in fall 2017 and spring 2019 at a private university. Across the two time points, participants engaged in an iterative process that led them to refine (i.e., narrow or specify) or redefine (i.e., change or adapt) their purpose or ultimate aims. Participants used the time between interviews to restructure their purpose in a way that integrated their experiences until they believed their purpose was best aligned with their skills, values, and interests. More specifically, consensual qualitative research analysis revealed seven themes that suggested ways in which participants acted to refine and/or redefine their purposes: (1) clarifying definition of purpose; (2) engaging known strengths or skills; (3) exploring new activities or experiences; (4) identifying a beyond-the-self intention that aligned with their purpose; (5) discerning the fit between their passions and interests with their circumstance or plans; (6) determining whether their strengths and skills aligned well with their purpose; and (7) integrating their passions into their beyond-the-self intention. A supplemental theme was added that outlines researchers' observations about the features of participants' purpose.

Youth purpose was investigated using a two-phase embedded design with youth participating in Scouts BSA (N = 3,943), ages 9-20 (M = 14.0, SD = 1.9). Participating Scouts were mostly White (91%) and male (98%). In Phase 1, we conducted a two-step cluster analysis on Scouts' survey responses to three purpose dimensions (personal meaning, goal-directedness, beyond-the-self orientation). Four clusters emerged: "Purposeful", "Explorers", "Dreamers", "Nonpurposeful." In Phase 2, we explored qualities of purpose within each cluster and programmatic features and relationships within the scouting context fostering youth purpose with a Scout subsample (N = 30) who completed semi-structured interviews. Results demonstrated that adults supporting scouting, inspiration from older peers, and opportunities to help others and explore new activities supported youth purpose.

Play, which is both a context and process for children's learning, has become a pivotal pedagogical component in global early childhood education. The uptake of intentional teaching has contributed to the shift in understandings of play, from viewing play as a means of recreation and entertainment to a more socio-cultural perspective that advocates for educators' proactive and engaged roles in play. The recent update of the Early Years Learning Framework (2023) in Australia has included an emphasis on intentionality in play-based learning. However, there is little academic work on intentionality, and recent studies demonstrate educators' struggles in conceptualising their roles as intentional teachers. Drawing on the findings of a literature review, this discussion paper aims to conceptualise intentional teaching from two aspects: intentionality and decision-making. This paper argues that while educator and child intentionality are the starting point of intentional actions, the decision-making process enables educators to have ongoing intentionality behind their teaching practices. It concludes by advocating for a broader understanding of intentional teaching that focusses on the underlying thought processes behind educators' decisions and actions.

In Australia, concerningly high levels of teacher attrition, and subsequent teacher shortages, have led to calls for improvement in the social status of teachers. In response, this study explored what draws pre-service teachers to the teaching profession in the face of research and media reports that suggest teaching is perceived as a low-status career. Using mixed methods, we surveyed 387 Australian pre-service teachers and found that their primary motivations for entering the teaching profession corresponded with the motivations attributed to social entrepreneurs who use innovation to make positive social change for their constituents. As far as the authors know, this is the first time that a close alignment between pre-service teachers' motivations for entering the teaching profession and social entrepreneurs' behaviours and intentions has been demonstrated. Thus, this study makes a unique contribution in the field of initial teacher education. We suggest that explicitly recognising teachers as social entrepreneurs with the inherent capacity to generate social innovation has the potential to raise the status of the profession. Such recognition could also positively inform pre-service teacher recruitment and teacher retention.

This study aims to examine the impact of students' entrepreneurial self-efficacy on their opportunity recognition capability after their exposure to classroom-based entrepreneurship education, leading to the development of intention to undertake an entrepreneurial activity. A detailed questionnaire was used to collect data from 351 students pursuing undergraduate and postgraduate courses. Results confirm that the student's entrepreneurial self-efficacy positively influences their intention to undertake an entrepreneurial activity directly and indirectly via their opportunity recognition capability. Also, entrepreneurship education significantly moderates the link between students' entrepreneurial self-efficacy and opportunity recognition capability. These results have practical implications for universities and policymakers, as universities that are not providing entrepreneurship education can adopt the same module of classroom education. Also, policymakers can frame policies directing institutions to start similar kinds of entrepreneurship education programs, even at the intermediate level, particularly in lower-middle-income countries.

Past work has shown that eye movements are affected by long-term memory across different tasks and instructional manipulations. In the current study, we tested whether these memory-based eye movements persist when memory retrieval is under intentional control. Participants encoded multiple scenes with six objects (three faces; three tools). Next, they completed a memory regulation and visual search task, while undergoing eye tracking. Here, scene cues were presented and participants either retrieved the encoded associate, suppressed it, or substituted it with a specific object from the other encoded category. Following a delay, a search display consisting of six dots intermixed with the six encoded objects was presented. Participants' task was to fixate one remaining dot after five had disappeared. Incidental viewing of the objects was of interest. Results revealed that performance in a final recognition phase was impaired for suppressed pairs, but only when the associate was a tool. During the search task, incidental associate viewing was lower when participants attempted to control retrieval, whereas one object from the nonassociate category was most viewed in the substitute condition. Additionally, viewing patterns in the search phase were related to final recognition performance, but the direction of this association differed between conditions. Overall, these results suggest that eye movements are attracted to information retrieved from long-term memory and held active (the associate in the retrieve condition, or an object from the other category in the substitute condition). Furthermore, the level of viewing may index the strength of the representation of retrieved information.

Historically fitness testing has been identified as a common but controversial physical education (PE)-for-health practice across the globe. Despite this, little is known about the current prevalence and implementation of fitness testing. This paper therefore reports on findings from a survey which gathered both quantitative and qualitative data to explore the 'if?', 'why?' and 'how?' of fitness testing and provide new insights into teachers' learning intentions, pedagogical practices, and attitudes towards it. The survey was distributed to PE departments in secondary schools across the UK, and responses were analysed and reported descriptively and thematically. Responses from 260 schools highlighted that fitness testing remains a common practice in PE, with 80% of PE teachers reporting it to feature in their curriculum. There was less consensus surrounding the 'why?' and 'how?' of testing, with variation evident in teachers' stated learning intentions, pedagogical practices, and attitudes. Despite its prevalence, PE teachers expressed concerns over negative pupil outcomes potentially arising from fitness testing, and over 60% of teachers were uncertain or agreed that fitness testing can have a negative impact on pupils' psychological health. Given the findings and the reported widespread prevalence of fitness testing, further research should explore pupils' perspectives, responses, and outcomes of fitness testing, including their motivational and emotional responses to testing. Working with teachers and encouraging them to critically reflect on the 'if?', 'why?' and 'how?' of fitness testing is recommended and will hopefully help to bridge the gap between research and practice.

Purpose: This study aimed to explore the relationship between the psycho-social working conditions of novice school leaders and their turnover intentions, focusing on potential variations across public- and private schools and school levels. Research Methods: We invited all novice school leaders (n = 3,389) enrolled in the in-service Swedish Principal Training Program to participate in an extensive survey, with a 65% (n = 1,998) response rate. The survey investigated turnover intentions, working conditions, prerequisites, and organizational ambiguity. The collected survey data, in combination with official data, were analyzed using ANOVA's to identify differences across actors and school levels, and linear regressions to investigate factors explaining turnover intentions. Findings: The findings revealed higher turnover intentions among public school leaders compared to private school leaders. This was attributed to differences in prerequisites and organizational ambiguity. All novice school leaders exhibited similar patterns regarding factors strongly associated with turnover intention, despite actor and school level affiliation. Specific levels of demand, autonomy, and support combined, predicted turnover intentions among novice school leaders with notable accuracy. Implications for Research and Practice: The study has profound implications for stakeholders in the educational system striving to decrease novice school leader turnover. Providing adequate working conditions emerges as a key factor for nurturing and retaining school leaders from the novice pool, offering insights into strategies for managing leadership transition in schools.

Entrepreneurs play a crucial role in fostering innovation and fuelling economic growth. China has recently sought to increase entrepreneurial intention in university students by providing entrepreneurship education based on the model deployed by universities in Western cultures. Additionally, a longstanding challenge for universities has been the wellbeing of their students. The COVID-19 pandemic exacerbated this issue, leading to enhancing the wellbeing of university students being declared a global priority. Consequently, by drawing on a framework of conservation of resources theory, the purpose of this paper is to conceptually develop and empirically validate a model for enhancing entrepreneurial intention and wellbeing in university students. The data were collected in December 2022 and January 2023. A total of 952 undergraduate students completed the questionnaire, with 476 responses from China and 476 from the UK. Findings indicate (i) positive associations between self-perceived academic performance and individual entrepreneurial intention, whereby self-perceived employability mediates the relationship, (ii) positive associations between serious leisure and wellbeing, whereby self-perceived employability mediates the relationship, and (iii) the country moderates the association between (a) serious leisure and wellbeing, and (b) serious leisure and self-perceived employability, whereby the association is stronger for China than for the UK. The theoretical contribution comes from constructing and empirically validating a model, evidencing alignment and divergence by country concerning acquiring specific personal resources via self-perceived academic performance, serious leisure, and self-perceived employability. Practical and policy implications arise from suggesting how higher education institutions can support their students to enhance individual entrepreneurial intention and wellbeing.

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable a thorough understanding of trace-based learner profiles, this paper presents and evaluates a comprehensive approach to analysis of learners' self-reports, which extends conventional statistical methods with psychological networks analysis. Methods: The study context is a massive open online course (MOOC) aimed at promoting physical activity (PA) for health. Learners' (N = 497) perceptions related to PA, as well as their self-efficacy and intentions to increase the level of PA were collected before and after the MOOC, while their interactions with the course were logged as digital traces. Learner profiles derived from trace data were further examined and interpreted through a combined use of conventional statistical methods and psychological networks analysis. Results and Conclusions: The inclusion of psychological networks in the analysis of learners' self-reports collected before the start of the MOOC offers better understanding of trace-based learner profiles, compared to the conventional statistical analysis only. Likewise, the combined use of conventional statistical methods and psychological networks in the analysis of learners' self-reports before and after the MOOC provided more comprehensive insights about changes in the constructs measured in each learner profile. Major Takeaways: The combined use of conventional statistical methods and psychological networks presented in this paper sets a path for a comprehensive analysis of survey data. The insights it offers complement the information about learner profiles derived from trace data, thus allowing for a more thorough understanding of learners' course engagement than any individual method or data source would allow.

Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning performance (LLP) through vocabulary learning performance (VLP) in the context of mobile vocabulary-assisted listening learning by using two mobile learning tools. Methods: A total of 129 college students with a pre-intermediate level of English were recruited as participants, and a 10-week mobile vocabulary-assisted, listening-learning course was conducted in 2022. In each task of this course, the students had to learn target words from a listening passage on Quizlet and then engage in listening activities on Randall's ESL Cyber Listening Lab. Quantitative responses obtained through an online questionnaire were analysed through partial-least-squares structural equation modelling. Results: The analysis results indicated that BI significantly predicted LLP through VLP. Perceived ease of use (PEU) and perceived usefulness (PU) were significant antecedents of BI. However, PEU did not significantly predict PU because of the difficulty of navigating between the two technological tools used in this study. The extended model demonstrated its effectiveness in explaining listening learning performance, as evidenced by an explained variance (R[superscript 2]) of 69%. Conclusion: The extended model validates the influence of BI on learning performance and it can also draw teachers' focus toward the significance of enhancing students' BI to improve their listening learning performance. Pedagogical implications based on the results are provided in this paper.

This study investigated how different learning tasks influence students' collaborative interactions in immersive Virtual Reality (iVR). A set of chemistry learning activities was designed with iVR, and 35 pairs of undergraduate students went through the activities. Videos of students' interactions were analysed to identify patterns in students' physical, conceptual, and social interactions. When students were manipulating conceptually familiar virtual objects (several water molecules), they perceived the tasks as a simple extension of prior knowledge and did not attempt to explore the 3D visualisation much. They did not move around to take different perspectives, and conceptual discussions were brief. Their prior power relations (leader-follower) carried over in iVR environments. In contrast, when conceptually unfamiliar chemical structures (protein enzyme) were displayed, students perceived the tasks as complex, demanding a new mode of learning. They spontaneously moved around to explore and appreciate the 3D visualisation of iVR. Walking to different positions to observe the virtual objects from multiple angles, students engaged in more collaborative, exploratory conceptual discussions. As the perceived complexity of learning tasks or virtual objects triggers different collaborative interactions amongst students, careful considerations need to be placed on the design of iVR tasks to encourage productive collaborative learning.

While extensive studies on informal online learning have been well documented to afford teachers' collaborative learning and knowledge sharing, little is still known about their motivational factors regarding the continuance intention of informal online learning. To this end, an extended expectation confirmation model (ECM) was proposed including intrinsic and extrinsic motivation. The proposed research model and several hypotheses were empirically evaluated using questionnaire surveys with the valid data collected from 231 Chinese in-service teachers in the shared mobile learning community. The results consolidate the appropriateness of the extended ECM to explain teachers' informal online learning continuance. Specifically, satisfaction is the major determinant of continuance intention, followed by perceived usefulness and intrinsic motivation. In addition, extrinsic motivation positively predicts perceived usefulness and confirmation. The results of this study provide some theoretical and practical implications into in-service teachers' continuance intention of informal online learning.

Shy-withdrawn behaviours place preschoolers at increased risk of experiencing adverse developmental outcomes. Positive teacher-child relationships play a protective role against these negative socioemotional outcomes. This study aimed to understand, in-depth, the beliefs, practices and support needs of preschool teachers toward shy-withdrawn children. Thirty preschool teachers of children aged 3-5 years were interviewed, using a semistructured guide. The thematic analysis revealed that most preschool teachers were aware of the main manifestations, transactional influences and consequences of shy-withdrawn behaviours, and of the empirically validated strategies that may be useful to modify them. However, a noteworthy proportion of participants reported misconceptions about the intentionality of shy-withdrawn behaviours, negative emotions and inconsistent or less effective practices. Our findings highlight that strengthening pre-service and in-service training and providing "coaching" to the preschool staff may be helpful to restructure dysfunctional beliefs about shy-withdrawn behaviours, translate developmental knowledge in evidence-based classroom practices and enhance professionals' self-awareness.

Among the many social determinants linked to adolescent alcohol use and depression, racial and ethnic discrimination is a prevalent determinant among Latinx adolescents and adults that is largely overlooked in preventive interventions. This study explored the influence of perceived racial and ethnic discrimination on depressive symptoms and alcohol use intentions among Latinx adolescents. Additionally, the study explored the cross-generational effects of how mothers' perceived discrimination impacts the depressive symptoms and alcohol use of the adolescent. The study used a sample of 800 inner-city Dominican and Puerto Rican adolescent-mother dyads (adolescent mean age = 12.42 years, SD = 0.81; mother mean age = 40.55 years, SD = 8.70). Employing a five-wave panel design that followed adolescents from 8th grade to 10th grade, the study found statistically significant mediation pathways which showed that adolescents' self-reported racial and ethnic discrimination experiences were associated with increases in their immediate and long-term depressive symptoms, which in turn were associated with stronger intentions to use alcohol in the future. Further, perceived racial and ethnic discrimination experienced by Latinx mothers was associated with increases in adolescents' intentions to drink alcohol in the future, mediated by the mothers' depressive symptoms and subsequently the adolescents' depressive symptoms. As discussed, these findings have wide-ranging implications for alcohol use prevention programs targeting inner-city Latinx adolescents.

A robust finding in cognitive psychology is that training children's spatial abilities is an effective route to improving mathematics performance. Despite this finding, there is limited representation of spatial reasoning in school curricula. To bridge this gap between research and practice, we created the Spatial Reasoning Toolkit (SRT; Gifford et al., 2022). In Study 1, we provide quantitative data of practitioner knowledge of spatial reasoning (N = 94) and their intended use of the SRT (N = 74). One year after the toolkit was launched, we compare these samples to a sample of SRT users (N = 59). In Study 2, we present case studies from three different school settings of users of the SRT. Results demonstrate that practitioners judged the SRT to be very useful. As intended, practitioners used it mainly for professional learning and for planning, but confidence in their ability to define spatial reasoning was mixed. Three diverse case studies demonstrate flexibility in application of the SRT resources, exemplifying that every child is unique and might not conform to the 'typical' trajectory. Practitioner time was presented as a barrier; this limitation was somewhat overcome by presenting multiple resource types, but nevertheless highlighted the need to maximize accessibility when translating research to practice.

The study is devoted to investigating the turnover intentions of international academics at Japanese universities. Semi-structured interviews were conducted with 40 full-time international academics in Japan. The interview data were coded and analyzed through an inductive process based on a four-stage procedure. The study suggests that although many international academics perceived themselves as tokenized symbols, stimulated by the determinants ranging in the dimensions of ease of movement, internal environmental factors, and external environmental factors, the majority of international academics were more inclined to remain in Japan. The study fills in the research gap regarding international academics' turnover intentions, it also challenges and enriches Matier's (1990) claim, highlighting that only when faculty members perceived ease of mobility and high internal and external environmental benefits, would they terminate their employment. Implications for policymakers, scholars and university administrators are offered for future studies and institutional practices.

Preservice teachers' beliefs regarding technology integration significantly influence their future teaching practices. This qualitative study examines the beliefs and intentions of 51 preservice teachers within the context of technology integration in their envisioned teaching scenarios. Thematic analysis identified three primary themes. Firstly, participants expressed their intentions to integrate technology into teaching, with 74% exhibiting a high intention, 22% moderate, and 4% low. Secondly, value beliefs encompassed positive perceptions supported by interest and usefulness, including eight roles of technology (e.g., facilitators, quality enhancers) and four concerns (e.g., equity, safety). Negative beliefs such as distraction were also identified. Thirdly, pedagogical beliefs varied, with 49% holding student-centered views, 37% being teacher-centered, and 14% balanced perspectives. Crosstab analysis explored relationships between technology integration intention levels, value beliefs, and pedagogical beliefs. These findings offer insights into preservice teachers' beliefs on technology integration, informing teacher education programs and strategies to enhance technology integration in classrooms.

This research aims to study the impact of Values enhanced technology adoption (VETA) in facilitating e-learning among academicians in Higher Education Institutions (HEIs) in North India. This research also validates the moderating role of digital technology by thoroughly understanding the impact of dimensions of VETA on behavioural intention. The study adopted a descriptive design with a quantitative data collection and analysis approach. Data was collected for the study variables from the academicians' conducting courses online across various disciplines. Data were collected from 311 academicians and analyzed using Structural Equation Modelling (SEM). Study findings suggest that all the determinants of VETA except conformity have a significant positive impact on behavioural intention to use e-learning. Further digital technologies moderate the relationship between determinants of VETA and behavioural intention. This research has implications for researchers and Higher Education Institutions to understand values that facilitate online teaching and learning from the perspective of academicians.