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Designing and teaching the secondary science methods course : an international perspective
The improvement of science education is a common goal worldwide. Countries not only seek to increase the number of individuals pursuing careers in science, but to improve scientific literacy among the general population. As the teacher is one of the greatest influences on student learning, a focus on the preparation of science teachers is essential in achieving these outcomes. A critical component of science teacher education is the methods course, where pedagogy and content coalesce. It is here that future science teachers begin to focus simultaneously on the knowledge, dispositions and skills for teaching secondary science in meaningful and effective ways. This book provides a comparison of secondary science methods courses from teacher education programs all over the world.
Book
Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence
The advent of generative artificial intelligence (AI) offers transformative potential in the field of education. The study explores three main areas: (1) How did ChatGPT answer questions related to science education? (2) What are some ways educators could utilise ChatGPT in their science pedagogy? and (3) How has ChatGPT been utilised in this study, and what are my reflections about its use as a research tool? This exploratory research applies a self-study methodology to investigate the technology. Impressively, ChatGPT’s output often aligned with key themes in the research. However, as it currently stands, ChatGPT runs the risk of positioning itself as the ultimate epistemic authority, where a single truth is assumed without a proper grounding in evidence or presented with sufficient qualifications. Key ethical concerns associated with AI include its potential environmental impact, issues related to content moderation, and the risk of copyright infringement. It is important for educators to model responsible use of ChatGPT, prioritise critical thinking, and be clear about expectations. ChatGPT is likely to be a useful tool for educators designing science units, rubrics, and quizzes. Educators should critically evaluate any AI-generated resource and adapt it to their specific teaching contexts. ChatGPT was used as a research tool for assistance with editing and to experiment with making the research narrative clearer. The intention of the paper is to act as a catalyst for a broader conversation about the use of generative AI in science education.
Journal Article
Promoting Interest and Performance in High School Science Classes
We tested whether classroom activities that encourage students to connect course materials to their lives will increase student motivation and learning. We hypothesized that this effect will be stronger for students who have low expectations of success. In a randomized field experiment with high school students, we found that a relevance intervention, which encouraged students to make connections between their lives and what they were learning in their science courses, increased interest in science and course grades for students with low success expectations. The results have implications for the development of science curricula and theories of motivation.
Journal Article
Superhero science : kapow! comic book crime fighters put physics to the test
Describes real scientific breakthroughs and how they mirror the \"super powers\" of fictional heroes.
Book
Defining Computational Thinking for Mathematics and Science Classrooms
Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include \"computational thinking\" as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new urgency has come to the challenge of defining computational thinking and providing a theoretical grounding for what form it should take in school science and mathematics classrooms. This paper presents a response to this challenge by proposing a definition of computational thinking for mathematics and science in the form of a taxonomy consisting of four main categories: data practices, modeling and simulation practices, computational problem solving practices, and systems thinking practices. In formulating this taxonomy, we draw on the existing computational thinking literature, interviews with mathematicians and scientists, and exemplary computational thinking instructional materials. This work was undertaken as part of a larger effort to infuse computational thinking into high school science and mathematics auricular materials. In this paper, we argue for the approach of embedding computational thinking in mathematics and science contexts, present the taxonomy, and discuss how we envision the taxonomy being used to bring current educational efforts in line with the increasingly computational nature of modern science and mathematics.
Journal Article
Nature preschools and forest kindergartens : the handbook for outdoor learning
\"Nature Preschools and Forest Kindergartens walks you through the European roots of the concept to the recent resurgence of these kinds of programs in North America. These experts provide the framework to understand the concepts and build a learning community that stimulates curiosity and inquisitiveness in a natural environment. This helpful guide provides the curriculum ideas and guidance needed to foster special gifts in children, and gives you the nuts and bolts of running a successful nature preschool business\"-- Provided by publisher.
Book
A review of AI teaching and learning from 2000 to 2020
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term “AI literacy”. However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To summarize the empirical findings from the literature, this systematic literature review conducts a thematic and content analysis of 49 publications from 2000 to 2020 to pave the way for recent AI literacy education. The related pedagogical models, teaching tools and challenges identified help set the stage for today’s AI literacy. The results show that AITL focused more on computer science education at the university level before 2021. Teaching AI had not become popular in K-12 classrooms at that time due to a lack of age-appropriate teaching tools for scaffolding support. However, the pedagogies learnt from the review are valuable for educators to reflect how they should develop students’ AI literacy today. Educators have adopted collaborative project-based learning approaches, featuring activities like software development, problem-solving, tinkering with robots, and using game elements. However, most of the activities require programming prerequisites and are not ready to scaffold students’ AI understandings. With suitable teaching tools and pedagogical support in recent years, teaching AI shifts from technology-oriented to interdisciplinary design. Moreover, global initiatives have started to include AI literacy in the latest educational standards and strategic initiatives. These findings provide a research foundation to inform educators and researchers the growth of AI literacy education that can help them to design pedagogical strategies and curricula that use suitable technologies to better prepare students to become responsible educated citizens for today’s growing AI economy.
Journal Article
Language, development aid and human rights in education : curriculum policies in Africa and Asia
\"With a Foreword by Martin Carnoy. The debate about languages of instruction in Africa and Asia involves an analysis of both the historical thrust of national government and also development aid policies. Using case studies from Tanzania, Nigeria, South Africa, Rwanda, India, Bangladesh and Malaysia, Zehlia Babaci-Wilhite argues that the colonial legacy is perpetuated when global languages are promoted in education. The use of local languages in instruction not only offers an effective means to contextualize the curriculum and improve student comprehension, but also to achieve quality education and rights in education. Evidence that science literacy is better served through local languages and adapted to local contexts is put forward with a new vision for science learning that invests cutting edge technologies with local context. This vision is crucial to the African and Asian development on their own terms and should take its rightful place as a human right in education\"-- Provided by publisher.
Book
A structural equation modeling investigation of the emotional value of immersive virtual reality in education
Virtual reality (VR) is projected to play an important role in education by increasing student engagement and motivation. However, little is known about the impact and utility of immersive VR for administering e-learning tools, or the underlying mechanisms that impact learners' emotional processes while learning. This paper explores whether differences exist with regard to using either immersive or desktop VR to administer a virtual science learning simulation. We also investigate how the level of immersion impacts perceived learning outcomes using structural equation modeling. The sample consisted of 104 university students (39 females). Significantly higher scores were obtained on 11 of the 13 variables investigated using the immersive VR version of the simulation, with the largest differences occurring with regard to presence and motivation. Furthermore, we identified a model with two general paths by which immersion in VR impacts perceived learning outcomes. Specifically, we discovered an affective path in which immersion predicted presence and positive emotions, and a cognitive path in which immersion fostered a positive cognitive value of the task in line with the control value theory of achievement emotions.
Journal Article