浅谈大学物理教学中创新思维与能力的培养

从贯彻以人为本的素质教育思想,精心创设各种物理情境,发展学生的直觉思维,进行多问、多变、转向等发散思维训练,激发起创造性思维的热情等方面,阐述了如何在大学物理教学中培养学生的创新思维与能力。     

质点运动规律的研究性学习

通过大学物理研究性学习的案例———指导学生用计算和绘图的方法对质点运动过程的细节进行了详细探究,辅导学生解决了应用微积分思想和矢量计算的困难,顺利求解了问题,使学生分析问题、处理问题和解决问题的能力得到了提高。     

初中科学实验教学与生活实际的结合——以物理实验为例

其实许多初中科学知识都可以和生活联系起来,物理也是从生活中延伸出来的一门学科。在新课程的要求下,物理实验教学要求做到和生活实际相结合,做到从生活走向物理,从物理走向社会。     

Students’ use of the interactive whiteboard during physics group work

This paper presents a case study of how the interactive whiteboard (IWB) may facilitate collective meaning-making processes in group work in engineering education. In the case, first-year students attended group-work sessions as an organised part of a basic physics course at a Norwegian university college. Each student group was equipped with an IWB, which the groups used to write down and hand in their solutions to the physics problems. Based on a Vygotskian, dialectical stance, this study investigates how the students used the IWB in the group-work situation. From qualitative analysis of video data, we identified four group-work processes where the IWB played a key role: exploratory, explanatory, clarifying and insertion. The results show that the IWB may facilitate a ‘joint workspace’, a social realm in which the students’ dialogues are situated.     

Student-centred learning and disciplinary enculturation: an exploration through physics

This study argues that student-centred methods in the teaching of physics can be beneficial for students’ enculturation into the discipline and into a physicist’s profession. Interviews conducted with academics and students from six master degrees in physics in three different European countries suggest that student-driven classroom activities, collaborative learning and problem-solving, or integration in research groups/projects enable students to engage in practices similar to those which are part of professional scientists’ routine. Through interactive, participative methods reminiscent of cognitive apprenticeship, students develop a range of abilities necessary in a physicist’s career: capacity of explanation, argumentation and defence of claims; analytical reasoning; capacity to critically review literature; ability to discern research paths worth pursuing; writing skills; and interpersonal skills. These give them a first taste of what it is like to be a physicist and ease their transition into a professional physics career.     

基于思维导图的“医学影像物理学”教学实践研究

“医学影像物理学”是医药院校医学影像学专业的一门专业基础课,学生普遍反映课程内容繁多且难以融会贯通。为提高“医学影像物理学”课程的教学质量,通过分析“医学影像物理学”的课程特点及学生特点,在中医药院校“医学影像物理学”的授课中应用思维导图法,融合引导式教学方法,分别从课前导学、章末总结、对比归纳学习易混淆概念等维度进行课程教学设计。结果表明,思维导图引导式教学模式,可以帮助学生提高自主学习积极性,锻炼知识整合和逻辑思维能力,学生对课程设计整体评价较高,对其他影像学专业课程教学具有一定的参考意义。     

M in CoMputational thinking: How long does it take to read a book?

Even at the primary level, computational thinking (CT) can support young students to prepare for participating in futures that are immersed in data. In mathematics classrooms, there are few explanations of the ways CT can support students in formulating and solving complex problems. This paper presents an example of a primary classroom investigation (8-9 year olds) over seven lessons of the problem “How long does it take to read a book?” The aim is to illustrate ways a statistical investigation can provide context for CT and demonstrate how the two complement each other to solve problems involving mathematics. The findings highlight opportunities and challenges that students face across the elements of CT—decomposition, abstraction, pattern recognition and modelling, and generalization and algorithmic thinking, including recommendations for teaching.     

A proficiency model for pre-service physics teachers' pedagogical content knowledge (PCK)—What constitutes high-level PCK?

This study identifies proficiency levels in pre-service physics teachers' pedagogical content knowledge (PCK) and reveals how teacher education can promote transitions into higher proficiency. Teacher education plays a fundamental role in supporting pre-service teachers' PCK development. Proficiency levels are a powerful source when evaluating this PCK development because they characterize what learners are likely to be able to know on a specific level. Previous research has presented a model of proficiency levels in pre-service physics teachers' PCK; however, evidence for the model's validity is still lacking. According to the Refined Consensus Model of PCK, factors such as teachers' content knowledge (CK), their teaching experience, and their beliefs about teaching and learning science promote PCK development. Thus, understanding how and when pre-service physics teachers' CK, teaching experience, and beliefs contribute to their proficiency can bring insights into how teacher education can promote PCK development. To address this issue, N = 427 observations of pre-service physics teachers were analyzed. Utilizing the scale anchoring procedure, four different proficiency levels in pre-service physics teachers' PCK were identified. Analyzing these proficiency levels showed that lower levels can be characterized as remembering content-unspecific knowledge, whereas higher levels encompass content-specific strategies to structure and elaborate lessons. Additionally, logistic regression models revealed that pre-service physics teachers' CK is crucial for an increase in PCK proficiency. However, transitions into higher levels of PCK additionally require teaching experience and adequate beliefs about teaching and learning. Thus, our proficiency levels can be used to bring insights into how proficiency in PCK can be supported during teacher education. For example, teacher education should provide courses focusing on the science curriculum and the assessment of student learning to promote pre-service physics teachers' progression in PCK.     

How do thinking styles and STEM attitudes have effects on computational thinking? A structural equation modeling analysis

Computational thinking (CT) is vital for success in numerous domains. However, the nature, definition, and scope of CT are ill-defined, and research on how best to develop CT is very limited. This study focused on how thinking styles and STEM attitudes have effects on computational thinking. Using a proportionate stratified random sampling procedure, 1195 students from two universities were surveyed. A structural equation modeling analysis showed that students' thinking styles and STEM attitudes directly predicted their computational thinking skills and that thinking styles mediated the relationship between STEM attitudes and computational thinking skills. Thinking styles and STEM attitudes are strong predictors of CT skills. Based on the results, we recommended that the conceptualization of CT be broadened to reflect its trans-disciplinary nature within the context of STEM education. This study adds to the limited theoretical understanding of CT and CT-predictors in higher education, which has been studied much less than in K-12 education.