Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh. The study used quantitative approach and developed a research model based on several technological acceptance models. In order to test the model, a survey was conducted to obtain data from 262 university students. SEM-PLS, a multivariate statistical analysis technique, was used to analyze the responses to examine the model, factors, structural relationships, and hypotheses. The result shows that 'perceived usefulness' and 'perceived ease of use' positively and significantly influenced by 'perceived enjoyment'. Furthermore, 'perceived usefulness', 'perceived ease of use' and 'facilitating condition' have a significant impact to predict behavioral intention to use e-learning. The results of mediation analysis show that 'perceived usefulness' and 'perceived ease of use' have mediating effects between the predictors and the outcome. Finally, 'facilitating condition' have a remarkable moderating effect to predict the student's behavioral intention in using e-learning. The findings have a noteworthy empirical implication for educational institutions to introduce e-learning system as one of the teaching and learning tools.
This research contributes to knowledge in mediating effect of lecturers' behavioural intention towards the acceptance of podcasts technology in universities. A cross-sectional quantitative research design was involved in this study. Also, a total of eight hundred and twenty-nine (829) lecturers participated in this research from three different south-west Nigeria Federal universities. The research instrument was titled lecturer's acceptance questionnaire (LAQ) with a calculated Cronbach's alpha of .919, which confirmed the instrument validity. The gathered data was analysed by using both descriptive and inferential statistics. The formulated hypothesis was tested at .05 level of significance. The result from descriptive analysis of data suggested that behavioural intention was at a low level among lecturers and the results of hypothesis testing revealed the effect of behavioural intention as partial mediator of podcast acceptance. Based on these findings relevant conclusions and recommendations were suggested in this research.
This paper aims to examine the current dynamics of the flipped classroom studies and to propose a direction for future research for the field. Using a bibliometric approach, we observe a sample of 1557 documents from the Scopus database to identify research activity on the flipped classroom. The keywords "flipped classroom" and "flipped learning" have been executed in the search query. We presented the earlier stage of research in the flipped classroom, the subsequent trends, publications status based on source title, country and institution and examined citations pattern of the publication. We also discuss the themes based on the occurrences and terms of the keywords, title and abstract of the documents. This paper also predicts the future study in the flipped classroom using Lotka's law. We found that the pattern distribution of the author's contribution fits with the law. We conclude by suggesting a few potential research directions on the flipped classroom. Research on flipped classroom focuses on approaches, strategies and effectiveness perceived by practitioners and learners with relatively less attention on author's contribution and the prediction on their future and sustainable contribution and networking in guaranteeing the survival and expansion of flipped classroom approach for the coming decades.
This study discussed and evaluated the usefulness, performance, and technology acceptance of a chatbot developed to educate users and provide health literacy. A semi-structured interview and analytic sessions were provided on Google Analytics dashboard, and the users' acceptance toward the technology was measured using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). A total of 75 undergraduate students were involved over a total period of two months. Each respondent explored the health chatbot actively to get advice from it with a phrase that matched the chatbot's intents via mobile devices. The evaluation results showed that 73.3% of the respondents found that the chatbot can help understand several health issues and provide a good conversation. The performance evaluation also showed that the chatbot contributed a low percentage of exit, where less than 37% of users exited the application. The overall assessment showed that the developed chatbot has a significant potential to be used as a conversational agent to increase health literacy, especially among students and young adults. However, more research should be done before the technology can replace humans in a real setting.
The primary objective of this study is to evaluate the relationship between the use of metacognitive strategies and learning performance in online learning among university students. The global lockdown due to the Covid-19 global pandemic outbreak has resulted in major interruptions in students' learning and education at all levels around the world. One of the consequences of university closures is that students suddenly find themselves having a lot more responsibility for their learning. Surprisingly, many students are not fully equipped with the relevant skills to excel in online learning despite being born into technology. Students are not aware of how to look inward to examine how they learn and to judge which methods are effective especially when faced with new forms of learning online because they lack metacognitive skills. Metacognition is crucial to the talent of learning. Although many researchers affirmed that metacognitive skills are crucial in any learning, a study on the impact of the use of metacognitive strategies on learning performance is still rudimentary. The study was carried out with 770 university IT students who have taken at least one online learning course. Data was collected using a self-administered instrument that was adapted from multiple sources. Three hypotheses were formulated and structural equation modeling was employed to conduct path modeling analysis. The findings from this study affirmed that students who use metacognitive strategies in online learning are indeed capable of evaluating their understanding of the course content and are capable of adding more effort in regulating their learning process. In view of the findings, this study will be useful for course instructors and students to establish practices on how to utilise metacognitive strategies to enhance students' learning performance as those lacking in metacognition may find themselves at a huge disadvantage.
This quasi-experimental study examined a guided learning approach towards the use of mobile devices and investigated the performance of language learners who were guided in the usage. A total of 419 students from two faculties were invited to participate in this 8-week intervention, 155 participants in the control group and 264 in the experimental group. In the experimental group, the researchers incorporated guided activities Module Intervention Model (MIM) using mobile devices into the ESL lessons whereas the control group lessons were without guided activities. Participants from both groups were asked to record their daily mobile device use for activities related to English language learning using an online form. These data were compared to the results of the tests conducted pre- and post-treatment. At the end of the study, students who received guided language activities utilizing the mobile devices had significantly higher levels of language performance than control group students. However, treatment group students who spent more time using mobile devices to learn the language did not display better performance compared to those who spent minimal time. This finding re-established the importance of guided activities as intervention to facilitate students' learning and points to the need for curricular modernization and faculty development in the instructional use of technology. Due to the increased need for online instruction precipitated by "social distancing and isolation' required to overcome the coronavirus pandemic, the need for faculty to acquire skills in guided use of mobile devices for school-related learning is anticipated to be greater than ever.
Mobile learning and gamification are becoming increasingly popular, especially in education. Numerous researches suggest that mobile learning apps with gamification can improve student learning. However, there are fewer studies that analyze the gamification effects and usability of mobile apps for middle-aged women. The aim of this study is to propose a new mobile learning app with gamification aspects for the use of middle-aged women in memorizing Arabic words. In the preliminary study, pre and post-tests were conducted to determine the effect of the use of the gamification application on 61 middle-aged women using Kahoot! game. The results from the Kahoot! game shows that participants enjoy learning and can memorize Arabic words effectively, indicating that gamification can motivate learning among middle-aged women. Then the usability of a new mobile app prototype containing learning notes and quizzes for user self-learning purposes was evaluated using three (3) criteria namely effectiveness, efficiency, and satisfaction. The considered indicators to measure the application's effectiveness are (a) tapping behaviour (number of taps used to perform a specific task), (b) number of attempts (how many times users tried to complete the task successfully), and (c) quiz score (score obtained by user after self-learning using the mobile app). Two variables were used to measure the efficiency of the application: the duration of task completion and the number of requests for help. In order to evaluate the satisfaction, a questionnaire was used to determine how respondents rated the mobile app's usability. The usability evaluation results show that the proposed mobile app was effective as users could utilize all the modules provided and successfully answer the quiz questions.
Blended learning is widely known for its ability to improve learning, nevertheless little is still known about the best ways of designing effective blended learning environment which can support immersive learning such as greater learning experience and accessibility to education. In this respect, this study investigates the mapping of the principles of three Education 4.0 innovative pedagogies, namely, heutagogy, peeragogy, and cybergogy, with the capabilities of three technological learning tools, that is, Facebook (FB), Learning Management System (LMS), and Blog, via a systematic literature review technique. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used as the methodology, and the literature was further selected using Gough's Weight of Evidence criteria, resulting in 59 studies. The results show that cognitive factor is the most linked pedagogical principle to the four main capabilities of technological learning tools, that is, time, self-related, learning task, and learning community-related. This mapping is useful for instructors to plan learning and teaching by choosing the technological learning tools that match with appropriate Education 4.0 pedagogies for optimising the immersive blended learning practices.
This study attempts to predict secondary school students' performance in English and Mathematics subjects using data mining (DM) techniques. It aims to provide insights into predictors of students' performance in English and Mathematics, characteristics of students with different levels of performance, the most effective DM technique for students' performance prediction, and the relationship between these two subjects. The study employed the archival data of students who were 16 years old in 2019 and sat for the Malaysian Certificate of Examination (MCE) in 2021. The learning of English and Mathematics is a concern in many countries. Three main factors, namely students' past academic performance, demographics, and psychological attributes were scrutinized to identify their impact on the prediction. This study utilized the Orange software for the DM process. It employed Decision Tree (DT) rules to determine the characteristics of students with low, moderate, and high performance in English and Mathematics subjects. DT and Naïve Bayes (NB) techniques show the best predictive performance for English and Mathematics subjects, respectively. Such characteristics and predictions may cue appropriate interventions to improve students' performance in these subjects. This study revealed students' past academic performance as the most critical predictor, as well as a few demographics and psychological attributes. By examining top predictors derived using four different classifier types, this study found that students' past Mathematics performance predicts their MCE English performance and students' past English performance predicts their MCE Mathematics performance. This finding shows students' performances in both subjects are interrelated.
Modern text-to-speech voices can convey social cues ideal for narrating multimedia learning materials. Amazon Alexa has a unique feature among modern text-to-speech vocalizers as she can infuse enthusiasm cues into her synthetic voice. In this first study examining modern text-to-speech voice enthusiasm effects in a multimedia learning environment, a between-subjects online experiment was conducted where learners from a large Asian university (n = 244) listened to either Alexa's: (1) neutral voice, (2) low-enthusiastic voice, (3) medium-enthusiastic voice, or (4) high-enthusiastic voice, narrating a multimedia lesson on distributed denial-of-service attack. While Alexa's enthusiastic voices did not enhance persona ratings compared to Alexa's neutral voice, learners could infer more enthusiasm expressed by Alexa's medium-and high-enthusiastic voices than Alexa's neutral voice. Regarding cognitive load, Alexa's low-and high-enthusiastic voices decreased intrinsic and extraneous cognitive load ratings compared to Alexa's neutral voice. While Alexa's enthusiastic voices did not impact affective-motivational ratings differently from Alexa's neutral voice, learners reported a significant increase of positive emotions from their baseline positive emotions after listening to Alexa's medium-enthusiastic voice. Finally, Alexa's enthusiastic voices did not enhance the learning performance on immediate retention and transfer tests compared to Alexa's neutral voice. This study demonstrates that a modern text-to-speech voice enthusiasm can positively affect learners' emotions and cognitive load during multimedia learning. Theoretical and practical implications are discussed through the lens of the Cognitive Affective Model of E-learning, Integrated-Cognitive Affective Model of Learning with Multimedia, and Cognitive Load Theory. We further outline this study's limitations and recommendations for extending and widening the text-to-speech voice emotions research.
Although recent research looked at the unified theory of acceptance and use of technology (UTAUT) model among academicians, there is still lacking an adequate account for their technology adoption intentions and behaviors in the face of the COVID-19 virus. This study applies the conservation of resource (COR) theory to ground the statistical results investigating the moderation and moderated mediation effects of COVID-19 anxiety in relation to the UTAUT model. According to the COR theory, anxiety linked with the COVID-19 pandemic endangers resources such as human connections (death of friends and relatives), job security and finances, as well as physical health and psychological well-being. Since resource loss is more salient according to COR theory, academicians are more willing to employ technologies like Zoom, MS Teams, and Google Classroom since the COVID-19 threat is existential and the resource loss is eminent. To test the theory, data was collected through an anonymous survey during the months of December 2020 and January 2021. The resultant data from 215 academicians was analyzed using Hayes Process Macro in SPSS. COVID-19 Anxiety positive moderates both the direct effects of Performance Expectance-Behavior Intention and the mediating Performance Expectance-Behavior Intension-Usage relationships. Similar results were seen for other predictors, albeit the moderated mediations for Effort Expectancy and Facilitating Conditions were not significant. These findings overwhelmingly corroborate the claims that COR theory more comprehensively explains the effects of COVID-19 anxiety among academicians in relation to the UTAUT model.
Digital competence has become an important issue in academia owing to the advent of various communication tools. This study used a standardized questionnaire based on the Digital Competence of Educators (DigCompEdu) framework, which is a validated comprehensive framework, and its associated assessment tool. This tool was designed to assess professional skills of faculties in higher education institutes in United Arab Emirates (UAE) in terms of their abilities to use information and communication technology (ICT) and current digital competences in their teaching and educational practices. We conducted an online survey to help participants reflect on their strengths and weaknesses while using digital technologies in education to find correlation between them, thus helping teachers determine their relative strengths and identify areas that need more attention.
While technological advances have led to digital transformation in many higher education institutions (HEIs), digital divide, especially among students in developing nations, is becoming a growing concern. This study aims to investigate the use of digital technology among B40 students (students from the lower socioeconomic backgrounds) in Malaysian HEIs. Specifically, this study intends to investigate how perceived ease of use, perceived usefulness, subjective norms, perceived behavioural control, as well as gratification constructs significantly affect digital usage among B40 students in Malaysian HEIs. This study used the quantitative research method with an online questionnaire which received 511 responses. SPSS was employed for demographic analysis, while Smart PLS software was used for structural model measurements. This study was based on two theories: planned behaviour theory and uses and gratification theory. The results showed that perceived usefulness and subjective norms significantly influenced the digital usage of the B40 students. In addition, all three gratification constructs indicated a positive effect on the students' digital usage.
This study contributes to the extant literature on instructional technology by investigating the relationships between the social and personal factors and behavioral intention to use virtual reality. Moreover, the current study examined the links between perceived characteristics of virtual reality and attitude and the moderating role that can be played by perceived skills readiness between those links. Inspired by the Theory of Planned Behaviour and Diffusion of Innovation Theory, a set of hypotheses was formed to test the proposed relationships using structural equation modeling partial least square to a sample of 171 science teachers in Oman. The results showed that attitude, social norms and perceived behavioral control can predict behavioral Intention to use virtual reality with attitude as the strongest predictor. Furthermore, the results indicated that relative advantage could predict attitude towards using virtual reality while compatibility and observability cannot. Finally, perceived skills readiness can strengthen the relationship between the perceived characteristics of virtual reality applications (relative advantage, compatibility and observability) and attitude towards using the virtual reality in the science classroom. Thus, this study highlights the importance of focussing on science teachers' skills readiness to use virtual reality so that they can use it confidently. Implications and future research studies are discussed.
This paper aims to investigate the factors affecting cyber-entrepreneurial intentions among final-year students of public universities in Malaysia utilizing the Theory of Planned Behavior (TPB) and Theory of Self-Efficacy (TSE). The quantitative survey-based research method was adopted to conduct the study using both final-year undergraduate and postgraduate students from business and management schools to test the proposed research framework. A total of 364 useful responses were received to be analyzed for this study. Results showed that attitude toward entrepreneurship, entrepreneurial creativity, entrepreneurial knowledge, entrepreneurial orientation, entrepreneurial self-efficacy, and opportunity recognition were positively correlated with cyber-entrepreneurial intentions except for personal innovativeness in technology and subjective norm, which was insignificant. This study provides insights into the way individual's intention towards cyber-entrepreneurship could be ameliorated as a career choice, particularly for final-year undergraduate and postgraduate students of business and management schools in Malaysian public universities. It helps determine appropriate approaches to direct the government, educators, and policymakers. The findings from this study invaluably contribute to the existing literature by establishing correlation between TPB and TSE and inquiring into their ultimate influences on cyber-entrepreneurial intentions.
Around the world, the number of English speakers and the significance of the English language are constantly increasing. Among various technology-supported instructional styles, Mobile Learning (M-Learning) has been recognized as a promising approach to enhance students' competencies and skills in the English language. By examining previous literature, a number of reviews have been performed to investigate the role of M-learning in the English language. However, none of these studies has highlighted the trends, opportunities, and challenges identified in the most cited articles that focused solely on the English language. Therefore, to address these limitations, this study performed a review of the top 100 most cited articles, published between 2007 and 2020, indexed by the Web of Science, and addressing the English language only. The results revealed that most research in Mobile English Language Learning (M-ELL) followed an experimental design and employed a single mobile learning implementation. Additionally, the current study identified a number of research areas that require additional research attention. For example, further research is needed among students learning from home, more qualitative research is needed, and additional research is required to improve students' higher-order thinking skills. The outcomes of this study provide a reference to researchers and educators who intend to use mobile technologies in the area of language education, especially in the context of the English language.
Online learning has significantly expanded along with the spread of the coronavirus disease (COVID-19). Personalization becomes an essential component of learning systems due to students' different learning styles and abilities. Recommending materials that meet the needs and are tailored to learners' styles and abilities is necessary to ensure a personalized learning system. The study conducted a systematic literature review (SLR) of papers on recommendation systems for e-learning in the K12 setting published between 2017 and 2021 and aims to identify the most important component of a personalized recommender system for school students' e-learning. Recommendations for later studies were proposed based on the identified components, namely a personalized conceptual framework for providing materials to school students. The proposed framework comprised four stages: student profiling, material collection, material filtering, and validation.
Metaverse, which combines a number of information technologies, is the Internet of the future. A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. Additionally, what factors impact higher education students' adoption of the educational metaverse remains unclear. Consequently, the aim of this study is to explore the main factors that affect higher education students' behavioral intentions to adopt metaverse technology for education. This study has proposed an extended Technology Acceptance Model (TAM) to achieve this aim. The novelty of this study resides in its conceptual model, which incorporates both technological, personal, and inhibiting/enabling factors. The empirical data were collected via online questionnaires from 574 students in both private and public universities in Jordan. Based on the PLS-SEM analysis, the study identifies perceived usefulness, personal innovativeness in IT, and perceived enjoyment as key enablers of students' behavioral intentions to adopt the metaverse. Additionally, perceived cyber risk is found as the main inhibitor of students' metaverse adoption intentions. Surprisingly, the effect of perceived ease of use on metaverse adoption intentions is found to be insignificant. Furthermore, it is found that self-efficacy, personal innovativeness, and perceived cyber risk are the main determinants of perceived usefulness and perceived ease of use. While the findings of this study contribute to the extension of the TAM model, the practical value of these findings is significant since they will help educational authorities understand each factor's role and enable them to plan their future strategies.
As we enter a world of blended learning in higher education, an increased need for adaptation of teaching strategies to enhance engagement has been recognised to amplify learning outcomes online. Gamification has been identified as a creative tool to engage the current cohort of learners who are also characteristically tech-savvy. To this end, escape room games have gained considerable traction in medical and pharmacy education to promote learning, critical thinking and teamwork. In this pilot study we describe the implementation of a 60-minute, web-based hepatitis-themed escape room game within a Year 3 Pharmacotherapy unit at Monash University. A total of 418 students participated in this activity. Students' knowledge gain on the topic was assessed through a pre- and post-intervention assessment, whereby a statistically significant improvement was seen in the knowledge score following implementation of the gaming activity (58.66% pre-intervention vs. 72.05% post-intervention, p
In overcoming the obstacles of online learning with the current Covid-19 pandemic crisis, synchronous and asynchronous learning has been a significant part of teaching strategies applied by educators to construct a collaborative online environment with Malaysian university students. Synchronous learning has always been the most effective strategy for social learning, while asynchronous learning allows students to learn on their own schedule. Moreover, despite having many educational platforms created for higher educational settings, the practicality of selection between two teaching-learning approaches of text-presentation and video is still a debate among teachers/ lecturers with students' learning styles. Therefore, this paper explored Malaysian university students' preferences between synchronous and asynchronous learning modes with text-presentation or video. Qualitative and quantitative data from 178 participants from both public and private universities were collected via open and close-ended questions in the designed questionnaire. The findings indicated that 68% of the students preferred synchronous learning mode compared to asynchronous. Meanwhile, 39% of the students favoured both text-presentation and video learning tools to be implemented in synchronous and asynchronous approaches as it provided them better opportunities to grasp the learning content better. Thus, it can be concluded that the synchronous learning mode is preferred if only one method is provided as the students highly value the teacher's presence for ease of communication, but students prefer a range of delivery methods. Moreover, the students also displayed a strong preference for applying both text-presentation and video to achieve their learning outcomes. Thus, it is suggested that the university lecturers need to explore and apply interactive pedagogical methods in online teaching-learning process, while contributing to the development of motivation, participation, and engagement among the university students in acquiring their subjects. As such, the findings of this study have informed the pedagogical implications, and further studies are mandatory.