Ongoing effects of pandemic-imposed learning environment disruption on student attitudes DOI Creative Commons
Teemu Hynninen,

Henna Pesonen,

Olli Lintu

et al.

Physical Review Physics Education Research, Journal Year: 2023, Volume and Issue: 19(1)

Published: Jan. 5, 2023

We present a study on the development of Finnish first-year physics majors' attitudes towards physics, as measured by Colorado Learning Attitudes about Science Survey, before, during, and after period mandatory remote learning due to coronavirus pandemic. find that in years before pandemic, these did not change, but extended pandemic had negative effect students' expertlike views. Similarly, students who experienced high school displayed lower level thinking they entered university. As contact teaching resumed, moderate positive gains were seen, bridging some all gap student left pandemic.Received 29 September 2022Accepted 5 December 2022DOI:https://doi.org/10.1103/PhysRevPhysEducRes.19.010101Published American Physical Society under terms Creative Commons Attribution 4.0 International license. Further distribution this work must maintain attribution author(s) published article's title, journal citation, DOI.Published SocietyPhysics Subject Headings (PhySH)Research AreasEpistemology, attitudes, & beliefsLearning environmentProfessional TopicsLower undergraduate studentsPhysics Education Research

Language: Английский

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

et al.

Journal of Business Research, Journal Year: 2022, Volume and Issue: 149, P. 795 - 810

Published: June 2, 2022

Language: Английский

Citations

40

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

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122603 - 122603

Published: April 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

Language: Английский

Citations

28

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

et al.

Computers and Education Open, Journal Year: 2024, Volume and Issue: 6, P. 100191 - 100191

Published: May 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.

Language: Английский

Citations

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, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 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

Language: Английский

Citations

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, Journal Year: 2021, Volume and Issue: 172, P. 121034 - 121034

Published: July 19, 2021

Language: Английский

Citations

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, Journal Year: 2021, Volume and Issue: 66, P. 101677 - 101677

Published: July 22, 2021

Language: Английский

Citations

48

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

Telecommunications Policy, Journal Year: 2022, Volume and Issue: 46(6), P. 102370 - 102370

Published: May 9, 2022

Language: Английский

Citations

35

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

et al.

Technological Forecasting and Social Change, Journal Year: 2022, Volume and Issue: 178, P. 121597 - 121597

Published: March 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.

Language: Английский

Citations

33

An automatic ensemble machine learning for wheat yield prediction in Africa DOI
Siham Eddamiri, Fatima Zahra Bassine, Victor Ongoma

et al.

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(25), P. 66433 - 66459

Published: Jan. 23, 2024

Language: Английский

Citations

7

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

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 207, P. 123566 - 123566

Published: July 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.

Language: Английский

Citations

7