Augmented Reality: An Emergent Technology for Students’ Learning Motivation for Chemical Engineering Laboratories during the COVID-19 Pandemic DOI Open Access
Diana Guaya, Miguel Ángel Meneses, Ximena Jaramillo-Fierro

и другие.

Sustainability, Год журнала: 2023, Номер 15(6), С. 5175 - 5175

Опубликована: Март 15, 2023

In higher education, the learning of Unit Operations in Chemical Engineering and development practical activities became a real challenge. Therefore, use emerging technologies necessary to develop laboratory due inaccessibility equipment infrastructure. this study, Project-Based Learning methodology was assisted with Augmented Reality (AR) technology for subjects. The educational experiment application basic topic course as project each subject proposed. results were presented using Zappar application, unique rubric used evaluation project. students’ motivation measured Keller’s Attention, Relevance, Confidence Satisfaction (ARCS) model by Instructional Materials Motivation Survey (IMMS). attention, confidence satisfaction demonstrate an acceptable reliability comparison relevance, which considered moderate reliability. Above 96% students that activities, materials, organization information AR caught their attention encouraged interest towards fundamentals applied Around 80% expressed concern about ease use, understood aim 85% recognized relevance usefulness, meaningful tool. 90% helped them competencies. Cronbach’s Alpha indicate IMMS instrument. Regarding IMMS, values superior 0.7, could be acceptable. For individual ARCS dimensions, alpha reached 0.94.

Язык: Английский

COVID-19 research in management: An updated bibliometric analysis DOI
Hossein Hashemi, Reza Rajabi, Thomas G. Brashear

и другие.

Journal of Business Research, Год журнала: 2022, Номер 149, С. 795 - 810

Опубликована: Июнь 2, 2022

Язык: Английский

Процитировано

41

Staying afloat amidst extreme uncertainty: A case study of digital transformation in Higher Education DOI Creative Commons
Katerina Antonopoulou, Christos Begkos, Zichen Zhu

и другие.

Technological Forecasting and Social Change, Год журнала: 2023, Номер 192, С. 122603 - 122603

Опубликована: Апрель 28, 2023

Prior research has undertheorized the profound impact of digital technologies by dwelling on implications individual distinct organizational dimensions to explain phenomenon transformation. This study adopts a view transformation as change that is facilitated and potential reshape every aspect an organization. The paper aims explore underpinning mechanisms Higher Education Institution in managing capitalizing upon benefits amidst extreme uncertainty. We engage qualitative, in-depth case UK-based empirically combination transfiguration its during Covid-19 pandemic. Our findings highlight three mechanisms: fostering stay afloat, scaling functionalities create new value, justifying value design change. contribution threefold. First, we capture conjugation business processes, strategy, culture paradigmatic Second, articulate through which our organization managed such Third, demonstrate uncertainty catalyzed rather than hindered

Язык: Английский

Процитировано

30

Do in-service teachers accept artificial intelligence-driven technology? The mediating role of school support and resources DOI Creative Commons
Rethabile Rosemary Molefi, Musa Adekunle Ayanwale, Lehlohonolo Kurata

и другие.

Computers and Education Open, Год журнала: 2024, Номер 6, С. 100191 - 100191

Опубликована: Май 21, 2024

This study investigates the acceptance and utilization of artificial intelligence (AI) among in-service teachers in Lesotho, focusing on mediating role school support resources (SSR). In Lesotho's educational landscape, which is characterized by a growing interest technology integration, this fills an essential gap existing literature exploring teachers' perspectives AI adoption influence SSR. Using Unified Theory Acceptance Use Technology (UTAUT) as theoretical framework, adopts cross-sectional design, collecting data from sample 315 through online surveys. The was analyzed using maximum likelihood estimation. results reveal substantial positive relationship between perceived usefulness, ease use, attitude towards AI, with SSR playing pivotal complementary mediator these connections. However, identifies non-significant technical proficiency behavioral intention, suggesting need for further investigation into skills effective integration. highlight critical shaping intentions to use their teaching practices. As result, recommends tailored continuous professional development programs collaborative learning communities enhance skills. Additionally, it emphasizes importance advocating policies that integration education underscores ethical considerations related use. We discuss implications our concerning integrating practices schools outline future directions.

Язык: Английский

Процитировано

14

How does the use of artificial intelligence affect sustainability rating in Middle Eastern universities? DOI
Mohammad Hossein Ronaghi, Marzieh Ronaghi

Asian Education and Development Studies, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

Purpose Artificial Intelligence (AI) technology, having powerful capabilities and rapid development, has been able to move the structures of businesses organizational processes towards intelligent automation. The role digital transformation in universities educational institutions an increasing trend. New business digitization processes, other than advantages they bring about, might have different effects on environment sustainability. This study aims identify effective factors AI adoption effect using this technology their sustainable performance. Design/methodology/approach research is applied a quantitative approach. Universities selected for were ranked by Quacquarelli Symonds (QS). Of 111 QS listed Middle East 2023, 30 randomly selected, questionnaire was emailed 50 people (administrative, staff) from each university. Information related level acceptance use collected among university staff faculty members; moreover, relationship with universities’ performance scores assessed. Path analysis Smart PLS software used data analysis. Findings findings showed that performance, enjoyment, trust, social influence all positive at universities. Also, considered as factor improving Therefore, based exact AI, can manage activities better control environmental be availability education establishment justice society. Accordingly, facilitate executive decision-making, policymakers field science principals improve administrative, via investing addition development. Originality/value theoretical contribution research, designing model includes evaluating between

Язык: Английский

Процитировано

1

Online technology: Sustainable higher education or diploma disease for emerging society during emergency—comparison between pre and during COVID-19 DOI Open Access
Gazi Mahabubul Alam, Soaib Asimiran

Technological Forecasting and Social Change, Год журнала: 2021, Номер 172, С. 121034 - 121034

Опубликована: Июль 19, 2021

Язык: Английский

Процитировано

50

Does online technology provide sustainable HE or aggravate diploma disease? Evidence from Bangladesh—a comparison of conditions before and during COVID-19 DOI
Gazi Mahabubul Alam

Technology in Society, Год журнала: 2021, Номер 66, С. 101677 - 101677

Опубликована: Июль 22, 2021

Язык: Английский

Процитировано

48

Prediction of Wheat Production Using Machine Learning Algorithms in northern areas of Pakistan DOI
Moiz Uddin Ahmed, Iqbal Hussain

Telecommunications Policy, Год журнала: 2022, Номер 46(6), С. 102370 - 102370

Опубликована: Май 9, 2022

Язык: Английский

Процитировано

36

Computer-based business games in higher education: A proposal of a gamified learning framework DOI Creative Commons
Mercedes Grijalvo, Alejandro Segura de la Cal, Yilsy Núñez Guerrero

и другие.

Technological Forecasting and Social Change, Год журнала: 2022, Номер 178, С. 121597 - 121597

Опубликована: Март 7, 2022

This study evaluates a framework developed for the use of computer-based business games in higher education, with aim developing specific knowledge and competencies within financial teaching at Polytechnic University Madrid. research was through an action methodology. First, professors learning by applying principles gamification: mechanics, dynamics, emotions. Subsequently, researchers evaluated its use. The experiment has been conducted introduction two simulators, Gestionet, undergraduate classroom, Global Management Challenge (GMC), master's degree classroom. Triangulation is included, gathering various data from students firms. A 52-item survey tested statistically. Neural networks fuzzy set-approaches were used to analyze students' responses understand how activity stimulates motivation (both intrinsic extrinsic). Simulators offer multi-layered experiences produce soft skills, such as strategic capacity, decision-making, analysis, their interactions others reflections on actions outcomes. These results are aligned demanded companies according analysis Report Association Progress Management. makes simulator great opportunity very useful tool all agents educational ecosystem.

Язык: Английский

Процитировано

33

Factors Influencing Technology Adoption in Online Learning among Private University Students in Bangladesh Post COVID-19 Pandemic DOI Open Access
MdShuhel Miah, Jugindar Singh Kartar Singh,

Mohammed Abdur Rahman

и другие.

Sustainability, Год журнала: 2023, Номер 15(4), С. 3543 - 3543

Опубликована: Фев. 15, 2023

Technology acceptance in higher education, especially during and after the crisis of COVID-19, is very important current environment, online learning adoption. This study aimed to determine impact performance expectancy, effort social influence, facilitating conditions on adoption line among university students Dhaka post-pandemic period. In addition, moderating role voluntariness was also ascertained. this quantitative study, primary data were collected using a survey method. The target population private universities located Dhaka, Bangladesh. There total 130 respondents, non-probability sampling found be more appropriate. Data analyzed Smart-PLS system. results revealed that expectancy most predictor intention adopt learning. next significant conditions. However, it influence not predictors Additionally, mediator. terms practical implications, educators designers should focus increase

Язык: Английский

Процитировано

17

To be (online) or not to be? The antecedents of online study propensity and e-learning-dependent dropout intention in higher education DOI Creative Commons
Dan‐Andrei Sitar‐Tăut, Daniel Mican, Ovidiu Ioan Moisescu

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 207, С. 123566 - 123566

Опубликована: Июль 23, 2024

Student satisfaction, particularly in the context of remote learning, has been extensively investigated, especially since COVID-19 outbreak. However, previous studies have either overlooked or loosely examined interplay between e-learning students' propensity towards online study, and their dropout intentions when learning is discontinued. To fill this literature gap, current study scrutinizes antecedents satisfaction explores its direct indirect consequences. establish a sound research model, we employed Push-Pull-Mooring Stimulus-Organism-Response theoretical frameworks. empirically validate conducted survey-based explanatory-predictive investigation with 953 university students Romania involved onsite education. Based on partial least squares structural equation modeling, our findings revealed that positively influenced by perceived usefulness, ease use, health safety, task-tech fit, negatively impacted social professional isolation. none convenience, wellbeing adversity, technostress, privacy-related risks significantly influence student study. Furthermore, unsociability, norms affect intention. This work introduces an innovative approach elucidates role predicting intention provides managerial implications for higher education institutions.

Язык: Английский

Процитировано

8