23 papers · ranked by Valyu relevance
Mehmet Durnali, Bayram Gökbulut
We aimed to explore the effects of hands-on STEM training on teachers’ attitudes toward STEM, their self-efficacy in implementing STEM methodologies, and their problem-solving skills. Additionally, we explored teachers’ professional competence in integrating STEM applications into their instructional practices and the…
Mageswary Karpudewan, Pavitra Krishnan, Mohd Norawi Ali, Lay Yoon Fah + 1 more
The remarkable upsurge in the attention for STEM education globally has inspired many countries including Malaysia to formulate STEM education policies to reform the existing segmented teaching of the four STEM subjects towards integrated teaching. One of the Malaysian government’s initiatives include establishing a…
Hong Lin
This study aims to improve the effectiveness of English grammar teaching in high school. Firstly, the Science, Technology, Engineering, Art, and Mathematics (STEAM) educational model is comprehensively discussed. Then, the current situation and difficulties of English grammar teaching in high school are analyzed.…
Carlo H. Godoy
Within the past two decades, Augmented Reality (AR) applications have received increased attention. Augmented Reality is now widely used in the education sector at level K-12. AR is expected to be generally adopted in two-to-three years in higher education and four-to-five years in K‐12. Applying AR technology in the…
B. B. Goldberg, D. Bruff, R. Greenler, K. Barnicle + 9 more
We report on a five-year initiative that has prepared thousands of future STEM faculty around the world to adopt evidence-based instructional practices by participating in two massive open online courses (MOOCs) and facilitated in-person learning communities. This novel combination of asynchronous online and…
Iván Sanchéz Milara, Marta Cortés
The term STEM refers to teaching and learning in the fields of science, technology, engineering, and mathematics. It is a very broad concept that includes education across all grade levels: starting from kindergarten and finishing in post-doctorate studies. STEM education is also transversal: is applied in formal (e.g.…
Duo Yang, Xiaopeng Wu, Jiali Liu, Jincheng Zhou
To better understand the latest developments in global science, technology, engineering, and mathematics (STEM) education research, this study collected STEM education research materials to sort out the development of STEM education as a whole, so as to get a clearer path and trend of STEM education development. This…
Pei-Yi Lin, Ching Sing Chai, Weifeng Di, Xingwei Wang
Engineering design is a core activity in integrated science, technology, engineering, and mathematics (STEM) education. During the design process, teachers should possess interdisciplinary communication capacities to collaborate with their peers who are teaching different subjects and have epistemic fluency to…
Aziz Amaaz, Abderrahman Mouradi, Moahamed Erradi, Ali Allouch
The purpose of this study was to explore Moroccan pre-service elementary teachers' attitudes toward integrated science, technology, engineering, and mathematics (STEM) education and the use of mobile devices in integrated STEM education. The research sample was selected using convenience sampling. Data were collected…
Diane Codding, Alexandria H. Yen, Haley Lewis, Vanessa Johnson-Ojeda + 3 more
Advancing diversity in STEM requires competent and confident faculty and staff who can lead local professional development in inclusive teaching to improve classroom instruction and support all learners. This paper examines how a facilitator training model designed to promote inclusive facilitation impacted inclusive…
Diane Codding, Alexandria H. Yen, Haley Lewis, Vanessa Johnson-Ojeda + 2 more
A primary reason for the persistent underrepresentation of minoritized people in STEM careers are their marginalizing experiences in STEM courses, which has spurred efforts to prepare STEM faculty to implement inclusive teaching practices. The Inclusive STEM Teaching Project (ISTP) addresses this nationwide challenge…
Mairéad Hurley, Deirdre Butler, Eilish McLoughlin
Over the past two decades, there has been an increased focus on designing STEM learning experiences for primary and second-level students. We posit that for teachers to design rich learning experiences for their students, they must first have the opportunity to develop their own STEM knowledge and competences, either…
Jorge Eliecer Gomez Gomez, Erika Gericke, Anton Rassõlkin, Mikołaj Leszczuk + 3 more
Developing students as well-rounded professionals is increasingly important for our modern society. Although there is a great consensus that technical and professional ("soft") skills should be developed and intertwined in the core of computer science subjects, there are still few examples of alike teaching…
E Chen, Danyang Wang, Luyi Xu, Hubiao Chen + 2 more
K-12 STEM Education Authors: ['E Chen' 'Danyang Wang' 'Luyi Xu' 'Hubiao Chen' 'Xiao Fang' 'Jionghao Lin'] Large language models (LLMs) have the potential to enhance K-12 STEM education by improving both teaching and learning processes. While previous studies have shown promising results, there is still a lack of…
Dominic Henri, Kirra Coates, Katharine Hubbard
The lack of diversity in Science, Technology, Engineering and Mathematics (STEM) is a significant issue for the sector. Many organisations and educators have identified lack of representation of historically marginalised groups within teaching materials as a potential barrier to students feeling that a STEM career is…
Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang + 1 more
We introduce a new challenge to test the STEM skills of neural models. The problems in the real world often require solutions, combining knowledge from STEM (science, technology, engineering, and math). Unlike existing datasets, our dataset requires the understanding of multimodal vision-language information of STEM.…
Shangmou Xu, Vicente Velasco, Mariah J. Hill, Elisa Tran + 31 more
We updated a recent meta-analysis of active learning’s impact on student achievement in undergraduate STEM courses by following the same protocol to evaluate studies published from 2010-2017. We screened 1659 papers, coded 1294, and found 210 that met five pre-established inclusion criteria and six pre-established…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Abootaleb Sedighi, Tudor Radu, Qirat Ashraf, Balmiki Kumar + 3 more
We developed the Interdisciplinary Science Program in Research and Entrepreneurship (INSPIRE) to address the changing career landscape that students with an interest in Physical Chemistry, Biophysics and Biochemistry face. Third and fourth-year undergraduate Chemistry and Physics students participated in a 4-week…
Sokona Mangane, Yuhao Zhao, Carrie Diaz Eaton
We examine every Inclusive Teaching section in articles published by the journal CourseSource - undergraduate biology teaching materials and related essays - from 2014 to 2022 to understand the evolution of inclusive teaching ideas as expressed through language. We find a rapid shift in attention to inclusive teaching…
Rebecca Brunk, Kriti Shukla, Bryant Hutson, Yue Wang + 7 more
Genomic sequencing and other big biological data is unquestionably of paramount value, however the success in recruiting highly skilled individuals with diverse backgrounds has been limited. A main reason for this deficiency could be due to the lack of educational resources and early exposure to the field. With the…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Authors not listed
Determining complete atomic structures directly from microscopy images remains a longstanding challenge in materials science. MicroscopyGPT is a vision-language model (VLM) that leverages multimodal generative pre-trained transformers to predict full atomic configurations including lattice parameters, element types…