Sustaining Teacher Professional Learning in STEM: Lessons Learned from an 18-Year-Long Journey into TPACK-Guided Professional Development DOI Creative Commons
Μaria Meletiou-Mavrotheris,

Efi Paparistodemou

Education Sciences, Journal Year: 2024, Volume and Issue: 14(4), P. 402 - 402

Published: April 11, 2024

This article is a self-narrative of our 18-year research into the Technological Pedagogical Content Knowledge (TPACK)-guided professional development teachers in ICT-enhanced mathematics learning. Using autoethnography as methodology to elucidate transformative personal evolution implementing TPACK model, we describe how conceptualized and enacted framework across three distinct phases trajectory. In first phase, efforts focused on offering afternoon seminars workshops using educational software. Mathematics attended voluntarily. second concentrated designing programs guided by principles adult education, which emphasize importance learner autonomy relevance, socio-constructivist views teacher growth, stress role collaboration reflection final adopted systemic, school-based approach investigating expanding for other STEM/STEAM teachers. At end each phase’s description, delve profound lessons learned these led paradigm shift, perspective practitioners researchers. Finally, present set recommendations future practice aimed at facilitating sustainability learning initiatives.

Language: Английский

Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model DOI Creative Commons

Darmawansah Darmawansah,

Gwo‐Jen Hwang, Mei‐Rong Alice Chen

et al.

International Journal of STEM Education, Journal Year: 2023, Volume and Issue: 10(1)

Published: Feb. 10, 2023

Abstract Fostering students’ competence in applying interdisciplinary knowledge to solve problems has been recognized as an important and challenging issue globally. This is why STEM (Science, Technology, Engineering, Mathematics) education emphasized at all levels schools. Meanwhile, the use of robotics played role learning design. The purpose this study was fill a gap current review research on Robotics-based (R-STEM) by systematically reviewing existing area. systematic examined trends education. A total 39 articles published between 2012 2021 were analyzed. indicated that R-STEM studies mostly conducted United States mainly K-12 Learner teacher perceptions most popular focus these which applied robots. LEGO used tool accomplish objectives. In terms application, Technology (programming) predominant robotics-based discipline studies. Moreover, project-based (PBL) frequently employed strategy robotics-related research. addition, transferable skills educational goals when robotics. Based findings, several implications recommendations researchers practitioners are proposed.

Language: Английский

Citations

61

Understanding K–12 teachers’ technological pedagogical content knowledge readiness and attitudes toward artificial intelligence education DOI Creative Commons

Miao Yue,

Morris Siu‐Yung Jong, Davy Tsz Kit Ng

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: 29(15), P. 19505 - 19536

Published: March 20, 2024

Abstract Artificial intelligence (AI) education is increasingly being recognized as essential at the K–12 level. For better understanding teachers’ preparedness for AI and effectively developing relevant teacher training programs, technological pedagogical content knowledge (TPACK) readiness attitudes toward teaching must be determined. However, limited research has been conducted on this topic. To address gap, we recruited 1,664 teachers to obtain a comprehensive view of in classrooms. These differed terms their gender, subject, grade, experience, experience AI. The findings study indicated that substantial gap exists AI-related teachers. Moreover, intriguing relationships were found between knowledge, effects demographic factors TPACK also examined. On basis study, recommendations formulated effective professional development programs field education.

Language: Английский

Citations

33

Expert or machine? Comparing the effect of pairing student teacher with in-service teacher and ChatGPT on their critical thinking, learning performance, and cognitive load in an integrated-STEM course DOI
Tingting Li, Yu Ji, Zehui Zhan

et al.

Asia Pacific Journal of Education, Journal Year: 2024, Volume and Issue: 44(1), P. 45 - 60

Published: Jan. 2, 2024

For student teachers' professional development, the emergence of generative artificial intelligence (AI) represents both opportunity and challenge. This exploratory quasi-experimental study aims to investigate effects "Human-Human" "Human-Machine" collaborative learning approaches on SETM teaching training performance teachers. Twenty-three teachers were divided into two groups within a single class, each adopting one method. The experiment lasted for months with weekly three-hour sessions. Data analysed focusing critical thinking, performance, cognitive load between groups. results indicated that using ChatGPT showed higher thinking systematicity, task completion efficiency, experienced lower load. Student paired in-service slightly outperformed those final design proposal. These findings underscore potential varying strengths AI tools like human further research, refined scaffolding are recommended explore impact AI-assisted teacher-involved collaboration. study's implications could guide educators, policymakers, developers in optimizing AI-enhanced strategies shed light new formation human-machine scope education.

Language: Английский

Citations

23

Virtual reality and augmented reality-supported K-12 STEM learning: trends, advantages and challenges DOI Creative Commons
Haozhe Jiang, D. Zhu, Ritesh Chugh

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 16, 2025

Abstract As virtual reality (VR) and augmented (AR) continue to become popular, there remains a noticeable gap in understanding their potential for enriching science, technology, engineering, mathematics (STEM) learning among K-12 students. To address this knowledge gap, study systematically reviewed 117 articles published from 2010 2022 on the basis of technology-based model. Following PRISMA systematic review method, research methods, participants, devices, strategies, advantages challenges each article were coded analyzed. In last six years (i.e., 2017–2022), overall number studies experienced rapid growth. The largest focused VR/AR-supported science learning, followed by integrated STEM learning. Smartphone/tablet-based AR was most widely used while very few dedicated immersive devices. Most elementary school stage, at senior high schools underexplored. Studies tended measure effectiveness VR/AR quantitative methods. Situated task-based game-based strategies include positive impact individual learners teaching processes. contrast, also poses series learners, teachers, schools. face distractions, decreased efficiency effectiveness, diminished inquiry imagination, operational issues, discomfort. Teachers encounter difficulties maintaining classroom control, designing activities, acquiring technical competence, adapting new role facilitating student-centered Schools grapple with costs, inadequate infrastructure, lack private spaces, privacy concerns. Based our findings, we propose agendas enrich along significant implications practitioners effectively intricate implementation fully harness its potential.

Language: Английский

Citations

3

The effect of professional development on in-service STEM teachers’ self-efficacy: a meta-analysis of experimental studies DOI Creative Commons
Xuan Zhou,

Lina Shu,

Zhihong Xu

et al.

International Journal of STEM Education, Journal Year: 2023, Volume and Issue: 10(1)

Published: May 22, 2023

Abstract This meta-analysis examined the effectiveness of teacher professional development (PD) training on improving in-service STEM teachers’ self-efficacy in K-12 teaching context. Twenty-one articles yielded 48 effect size estimates, incorporating 1412 teachers final analyses. Results indicated that overall PD was strong at g = 0.64 ( p < 0.01). review contributes to literature and confirms significant impact self-efficacy. regarding substantive characteristics provide policymakers practitioners seeking improve with information for PD. Recommendations researchers are also discussed paper.

Language: Английский

Citations

25

Exploring Factors That Support Pre-service Teachers’ Engagement in Learning Artificial Intelligence DOI Creative Commons
Musa Adekunle Ayanwale,

Emmanuel Kwabena Frimpong,

Oluwaseyi Aina Gbolade Opesemowo

et al.

Journal for STEM Education Research, Journal Year: 2024, Volume and Issue: unknown

Published: April 12, 2024

Abstract Artificial intelligence (AI) is becoming increasingly relevant, and students need to understand the concept. To design an effective AI program for schools, we find ways expose knowledge, provide learning opportunities, create engaging experiences. However, there a lack of trained teachers who can facilitate students’ learning, so focus on developing capacity pre-service teach AI. Since engagement known enhance it necessary explore how engage in This study aimed investigate teachers’ with after 4-week at university. Thirty-five participants took part reported their perception 7-factor scale. The factors assessed survey included (cognitive—critical thinking creativity, behavioral, social), attitude towards AI, anxiety readiness, self-transcendent goals, confidence We used structural equation modeling approach test relationships our hypothesized model using SmartPLS 4.0. results supported all hypotheses, attitude, anxiety, being found influence engagement. discuss findings consider implications practice policy.

Language: Английский

Citations

13

Integrating drone technology in STEM education: Curriculum, pedagogy and learning outcomes DOI Creative Commons

Richard Chung Yiu Yeung,

Daner Sun, Chi Ho Yeung

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Language: Английский

Citations

1

Resilience Model of the Traditional Islamic Boarding School Education System in Shaping the Morals of Student in the Midst of Modernizing Education DOI Creative Commons
Jaenullah Jaenullah, Ferdian Utama, Dedi Setiawan

et al.

Jurnal Kependidikan Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan Pengajaran dan Pembelajaran, Journal Year: 2022, Volume and Issue: 8(4), P. 931 - 931

Published: Dec. 2, 2022

The study aims to reveal the existence of traditional pesantren education system (salaf) in shaping morals students midst modernizing education. Traditional Islamic boarding schools are currently till a reference for community, even thousands people who participate activities held by pesantren, such as recitation and istighosah. method used this was case using qualitative research approach. This had subject kyai, teacher, male student, female student at Darul Falah Boarding School, OKU, South Sumatra, Indonesia. Data collection techniques in-depth interviews, observation, documentation studies. analyzed Miles Huberman’s data analysis : reduction, presentation, drawing conclusion verification. found that resilience era globalization strong endurance continuity because it has four functions. First, adaptation environment is carried out with twenty-four-hour pattern shape students' morals. Second, have educational goals personality noble characters. Third, integration integrated both institutional curriculum. Fourth, there maintenance cultural (latency) value pesantren.

Language: Английский

Citations

35

The impact of school support for professional development on teachers' adoption of student-centered pedagogy, students’ cognitive learning and abilities: A three-level analysis DOI
Siu Cheung Kong, Yiqing Wang

Computers & Education, Journal Year: 2024, Volume and Issue: 215, P. 105016 - 105016

Published: March 2, 2024

Language: Английский

Citations

6

Competency development of pre-service teachers during video-based learning: A systematic literature review and meta-analysis DOI
Xiaojing Weng, Oi‐Lam Ng, Thomas K. F. Chiu

et al.

Computers & Education, Journal Year: 2023, Volume and Issue: 199, P. 104790 - 104790

Published: March 24, 2023

Language: Английский

Citations

15