Impact of Argumentation-Based STEM Activities on Ongoing STEM Motivation

Dönmez, İsmail; Gülen, Salih; Ayaz, Mahmut

doi:10.1007/s41979-021-00062-2

Cited by 7 publications

(7 citation statements)

References 50 publications

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“…The students analyzed the letter and connected it with the science concept to make a decision to solve the problem. Content analysis in argumentation is a point for developing reasoning to support a student's claim (Dönmez et al, 2021). In an EDP classroom, students should understand the need of the end user to solve the problem, so that, in the construction of the argumentation skills, the female students pay attention to the constraints of a contract among the claim, evidence, and constraints Sulaeman et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Gender roles in engineering design process activity: A small group exploration through collaborative argumentation

2023

KJSS

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Gender plays a crucial role in science and engineering education. This study aims to explore gender's role in an engineering design process (EDP) classroom, particularly in relation to argumentation skills. This qualitative research used a case study and focused on student behavior contributions to argumentation skills, separated by gender. The participants included 12 students (6 male and 6 female) in 8th grade who participated in a collaborative group problem-solving exercise. All activities of students in the EDP classroom were recorded and transcribed to be coded using code-driven argumentation theory (claim, data/evidence, and reasoning). According to the results, the male students were more active in constructing reasoning in argumentation skills than the female students. Additionally, the female students actively claimed scientific phenomena and communicated during the discussion stage.

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Section: Discussionmentioning

confidence: 99%

Gender roles in engineering design process activity: A small group exploration through collaborative argumentation

2023

KJSS

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“…If trained on comprehensive scientific literature databases those models have the capability to mine, scan, summarize, and analyse the academic literature. [ 96–99 ] While they are not designed to replace human experts with specialized domain knowledge, these models could significantly streamline and simplify the process of conducting literature reviews. [ 98,100 ] This could become an invaluable tool for researchers trying to understand a field and identify emerging trends and key discoveries within it.…”

Section: The Third Rung: Generative Models and Hypothesis Generationmentioning

confidence: 99%

The Future of Material Scientists in an Age of Artificial Intelligence

Maqsood,

Chen,

Jacobsson

2024

Advanced Science

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Material science has historically evolved in tandem with advancements in technologies for characterization, synthesis, and computation. Another type of technology to add to this mix is machine learning (ML) and artificial intelligence (AI). Now increasingly sophisticated AI‐models are seen that can solve progressively harder problems across a variety of fields. From a material science perspective, it is indisputable that machine learning and artificial intelligence offer a potent toolkit with the potential to substantially accelerate research efforts in areas such as the development and discovery of new functional materials. Less clear is how to best harness this development, what new skill sets will be required, and how it may affect established research practices. In this paper, those question are explored with respect to increasingly more sophisticated ML/AI‐approaches. To structure the discussion, a conceptual framework of an AI‐ladder is introduced. This AI‐ladder ranges from basic data‐fitting techniques to more advanced functionalities such as semi‐autonomous experimentation, experimental design, knowledge generation, hypothesis formulation, and the orchestration of specialized AI modules as stepping‐stones toward general artificial intelligence. This ladder metaphor provides a hierarchical framework for contemplating the opportunities, challenges, and evolving skill sets required to stay competitive in the age of artificial intelligence.

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“…Restivo et al (2014) utilized augmented reality in teaching environments to improve students' STEM motivation, Starr et al (2020) utilized authentic science practices to improve STEM motivation. In addition, Dönmez et al (2022) utilized argumentation-based STEM activities for improving STEM motivation. To improve STEM motivation, Starr et al (2019) utilized virtual reality experiences, where all the researches' differed teaching domains affected the research results positively.…”

Section: Introductionmentioning

confidence: 99%

Öğretmen Adaylarının STEM Motivasyonlarının ve Girişimcilik Seviyelerinin Araştırılması

TÜYSÜZ,

TÜZÜN,

ÖZTAY

et al. 2023

Journal of Teacher Education and Lifelong Learning

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The purpose of the current research was to highlight the STEM motivation and entrepreneurship skills of pre-service teachers educating on different programs. For this purpose, the quantitative research approach was conducted, and a survey model was employed. The sample of this research comprised 285 pre-service teachers enrolled in the various departments of faculty of education in a state university in Türkiye. "Entrepreneurship Scale for Teacher Candidates" and "STEM Motivation Scale" were utilized as data collection tools. It was found statistically significant differences between early childhood education and elementary mathematics education, between elementary education and elementary mathematics education, and also between science and elementary mathematics education in favour of elementary mathematics education regarding the mean scores of pre-service teachers' mathematical motivation (MM) in the significance level of .05. It was also found that there was a significant difference between elementary education and elementary mathematics education in favour of elementary education regarding the mean scores of pre-service teachers' self-confidence (SC) in the significance level of .05 in Entrepreneurship Scale for Pre-service Teachers. Also, it was found that there was a significant difference between elementary education and elementary mathematics education in favour of elementary education regarding the mean scores of students' emotional intelligence (EI) in the significance level of .05 on the Entrepreneurship Scale for Teacher Candidates. According to the results, further implementation suggestions were given.

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Impact of Argumentation-Based STEM Activities on Ongoing STEM Motivation

Cited by 7 publications

References 50 publications

Gender roles in engineering design process activity: A small group exploration through collaborative argumentation

Gender roles in engineering design process activity: A small group exploration through collaborative argumentation

The Future of Material Scientists in an Age of Artificial Intelligence

Öğretmen Adaylarının STEM Motivasyonlarının ve Girişimcilik Seviyelerinin Araştırılması

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