A professional development course inviting changes in preservice mathematics teachers’ integration of technology into teaching: the lens of instrumental orchestration DOI Creative Commons
Qi Tan, Zhiqiang Yuan

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: July 18, 2024

Abstract Information and Communication Technologies (ICTs) can provide rich learning opportunities in classroom teaching, which requires teachers’ effective instrumental orchestrations. However, there is a lack of research regarding the development In this study, we designed implemented professional course, aiming to explore whether course could change preservice mathematics To end, an analytical framework orchestrations within GeoGebra environment was established. Data were collected from Chinese teachers, including videotapes their simulated lessons, files, written documents, self-reflections, online speaking, etc. results, three participants’ changes presented as main cases. It found that types did not change, but frequencies those increased significantly. The didactical configurations mainly reflected layout GeoGebra, exploitation modes manifested techniques teachers use management tasks. addition, it revealed theoretical support (instrumental approach), technical (knowledge about using GeoGebra), community (“Same Content Different Designs” activity communicating discussing with others) useful elements inviting regard, study contributes providing promising be used teacher training so improve

Language: Английский

Understanding pre-service mathematics teachers’ intentions to use GeoGebra: The role of technological pedagogical content knowledge DOI Creative Commons
Esra YILDIZ, İbrahim Arpacı

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(14), P. 18817 - 18838

Published: March 14, 2024

Abstract The research investigated the “Technological Pedagogical Content Knowledge” (TPACK) of pre-service mathematics teachers and its impact on their sustained intention to utilize GeoGebra in teaching mathematics. This study introduced a novel model by extending “Unified Theory Acceptance Use Technology” (UTAUT) with TPACK. Through “Structural Equation Modeling” (SEM) applied data collected from 205 teachers, was evaluated. results revealed that factors like effort expectancy, social influence, performance TPACK significantly predicted continuous use GeoGebra. However, no substantial relationship found concerning facilitating conditions. findings have managerial practical implications for academics, principals, decision-makers promoting educational settings.

Language: Английский

Citations

7
Factors Influencing University Students' Behavioural Intention to Use Generative Artificial Intelligence for Educational Purposes Based on a Revised UTAUT2 Model DOI Open Access
Xin Tang, Zhiqiang Yuan, Shaojun Qu

et al.

Journal of Computer Assisted Learning, Journal Year: 2024, Volume and Issue: 41(1)

Published: Dec. 19, 2024

ABSTRACT Background Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors society is anticipated to revolutionise educational landscape, especially in domain tertiary education. However, there gap understanding factors influencing university students' behavioural intention use generative AI, leading hesitation its adoption. Objectives The primary objective this study was investigate that influence engage utilise AI. sought delve into fundamental reasons obstacles students encounter when contemplating for their academic endeavours. Methods used quantitative research design, utilising revised version Unified Theory Acceptance Use Technology 2 (UTAUT2) model. Data were collected from sample 380 Changsha, capital city Hunan China. Partial least squares structural equation modelling (PLS‐SEM) analyse relationships between variables model, which included performance expectancy (PE), effort (EE), social (SI), facilitating conditions (FC), learning value, habit intention. Results analysis revealed PE EE have direct impact on value. Additionally, SI FC found directly affect formation habit. Among these factors, value emerged as most potent predictor Habit also demonstrated significant, albeit smaller, effect Conclusions study's findings underscore importance driving AI among students. Efforts enhance could significantly increase uptake higher Furthermore, role habit, while less pronounced, suggests consistent exposure can foster greater inclination towards These insights provide foundation targeted interventions aimed improving integration application within settings. Stakeholders, including educators, policymakers designers leverage create an environment conducive effective

Language: Английский

Citations

5
Investigating factors influencing bullying behavior reduction and gender differences in higher education: A structural equation modeling approach DOI

Emilda Firdaus,

Sukamarriko Andrikasmi,

Neni Hermita

et al.

Acta Psychologica, Journal Year: 2025, Volume and Issue: 253, P. 104747 - 104747

Published: Jan. 23, 2025

Language: Английский

Citations

0
Factors influencing technology integration among mathematics educators in South Africa: A modified UTAUT2 perspective DOI
Antony Musasa, Jameson Goto, Geoffrey Lautenbach

et al.

Contemporary Educational Technology, Journal Year: 2025, Volume and Issue: 17(2), P. ep564 - ep564

Published: Jan. 28, 2025

Educators must effectively integrate technology into their teaching practices in today’s technology-driven world. This study investigated factors influencing integration among mathematics educators Gauteng secondary schools South Africa. The unified theory of acceptance and use technology, extended by adding the technological pedagogical content knowledge (TPACK) framed study. Data was collected using an online questionnaire from 309 educators. Exploratory confirmatory factor analyses were used to validate verify measurement model. structural equation modelling indicated that hedonic motivation (HM), performance expectancy (PE) TPACK influenced behavioral intention (BI) technology. TPACK, facilitating conditions (FC), effort (EE), social influence (SIN), descriptive norms (SID) habit (HT) (BU) integration. second-order all constructs contributed Still, most important, with highest explained variance 64.4%, followed EE, FC, HM HT, which had variances above 50%. BI BU, PE less than 50% variance. Our findings could provide insights future interventions for effective in-service educator training.

Language: Английский

Citations

0
What influences vocational college students’ actual use of mobile learning? An empirical study using the PLS-SEM method DOI Creative Commons
Qihua Tan,

Xuefei Lin,

Li Wei

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Abstract The vulnerable group of students in vocational institutions seems to have received insufficient attention today's world digital change. Thus, this study aimed explore the factors influencing college students’ actual use mobile learning, and examine moderating effect gender. For purpose, technology acceptance model was adopted. There were 319 from Liaoning (China), these data analyzed using a partial least squares structural equation modeling (PLS-SEM) method. results showed that behavioral intention positively significantly affected their learning. Based on multi-group analysis, it indicated gender had significant relationship between perceived ease usefulness attitude intention. This provides empirical evidence revisiting rationality classic model. Additionally, findings are also beneficial for leaders teachers promote learning an era global technological

Language: Английский

Citations

0
Exploring the determinants of mathematics teachers’ willingness to implement STEAM education using structural equation modeling DOI Creative Commons
Ming-sum Tang, Tommy Tanu Wijaya, Xinxin Li

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 21, 2025

Language: Английский

Citations

0
The effect of innovation performance on the adoption of human resources analytics in business organizations DOI Creative Commons
Eithel F. Bonilla-Chaves, Pedro R. Palos‐Sánchez, José Antonio Folgado-Fernández

et al.

Electronic Research Archive, Journal Year: 2024, Volume and Issue: 32(2), P. 1126 - 1144

Published: Jan. 1, 2024

<abstract> <p>Our study objective is to examine the determinants that influence adoption of human resource (HR) analytics, along with external variable called Innovation Performance. The research model was developed by adapting theoretical unified theory acceptance and use technology (UTAUT) adding variable, data collected using a survey at Amazon Mechanical Turk (MTurk) in USA. Initially, total 602 responses were obtained. Finally, 554 questionnaires obtained after information quality filters for debugging. This reveals main on HR analytics exerted performance expectancy, social influence, facilitating conditions, innovation behavioral intention. Likewise, innovative performance, behavior intention are major influences Use Behavior. found from an empirical analysis generalized structured component (GSCA) software package shows, tabled data, relationships model. into Analytics investigated standard UTAUT Performance business organization.</p> </abstract>

Language: Английский

Citations

3
Using the UTAUT-TPACK model to explain digital teaching behaviour of elementary school mathematics teacher DOI
Xin Tang, Zhiqiang Yuan,

Haibin Kuang

et al.

Asia Pacific Journal of Education, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Aug. 6, 2024

The appropriate use of digital technology in the classroom is very helpful to improve mathematics teaching elementary school. However, current situation school teachers' behaviour not optimistic. This study analysed factors influencing behaviour. A revised unified theory acceptance and (UTAUT) model with technological pedagogical content knowledge (TPACK) was used understand questionnaire survey conducted Hunan province China. Three hundred teachers provided valid data. partial least squares structural equation modelling (PLS-SEM) approach analyse It found that TPACK facilitating conditions positively significantly affected teachers, biggest influential factor. research results have important implications for improving promoting transformation education.

Language: Английский

Citations

3
Predicting secondary school mathematics teachers' digital teaching behavior using partial least squares structural equation modeling DOI Creative Commons
Xin Tang, Zhiqiang Yuan, Xi Deng

et al.

Electronic Research Archive, Journal Year: 2023, Volume and Issue: 31(10), P. 6274 - 6302

Published: Jan. 1, 2023

<abstract> <p>Digital technologies play a key role in the digital transformation of education. In order to improve teaching effectiveness and efficiency, teachers should use appropriately. However, some secondary school mathematics have little confidence their behavior. This study aimed explore predictors teachers' An extended unified theory acceptance technology (UTAUT) model was adopted predict A questionnaire survey conducted with all junior high state-level new area, which is located central province China. Three hundred eighty-five valid data were collected. The partial least squares structural equation modeling (PLS-SEM) method used analyze data. It found that technological pedagogical content knowledge (TPACK) biggest predictor Attitude, behavioral intention, performance expectancy, effort expectancy social influence can also affect behavior direct and/or indirect ways. findings noteworthy realistic implications for enhancing promoting education.</p> </abstract>

Language: Английский

Citations

8
Using interactive learning objects in teaching accounting sciences: a case study DOI Creative Commons

Diana Gaviria-Rodríguez,

Juan Arango-Arango,

Alejandro Valencia-Arías

et al.

Frontiers in Education, Journal Year: 2024, Volume and Issue: 9

Published: Feb. 19, 2024

Interactive learning objects (ILOs) are tools that can enhance and promote teaching in various fields of knowledge. For instance, GeoGebra is free educational software designed for mathematics. It interactive mathematical help students better understand accounting concepts visualize complex financial relationships, making it easier to learn abstract concepts. Additionally, be used explore what-if scenarios, which develop their decision-making skills. The purpose this article investigate the impact on development skills among science students. contributes literature by demonstrating effectiveness through application five linear functions relationships GeoGebra. This approach bridges gap between differential calculus knowledge ability achieve a geometric understanding interpretation lines created with dynamic software. also enables statement based variations lines. GeoGebra, software, will feature comprehensive income (CIS) as one its relevant statements accounting. Starting an equation containing 15 variables, 2 selected represent abscissa ordinate axes, while remaining 13 considered parameters adjusted user OIA windows. By changing these values, produce straight line. worth noting using effective strategy enhancing one’s basic sciences. study emphasizes significance accuracy management, interplay utilization technological aid comprehending

Language: Английский

Citations

0