教学设计理论中的心理学理论述评

教学设计理论受心理学学习理论的影响,追求个别化教学设计,摇摆于“以学为中心”和“以教为中心”之间,当前建构主义学习理论试图融合与互补“以学为中心”和“以教为中心”。历史和现实对我国教学设计理论的启示在于：引进学习理论时要对民族、文化和地域等的差异进行分析,从而进行修正;与多学科、多流派,尤其是与教育学及其分支学科和流派的理论进行融合。     

学习科学:研究的重要问题及其方法论

自20世纪后半叶以来,不同学科背景的研究者将基础研究与教育实践相结合,直面人类的学习问题,探究人类思维和学习的过程,设计新的学习情境,提出新的理论和方法论,催生了学习的新科学。学习科学是指面向复杂的真实世界需要的"整合"科学,涉及认知科学、神经科学、教育心理学、计算机科学、人类学、社会学等多元领域,它不仅发展了学习理论,而且对教授科学也做出了贡献。通过围绕知识的本质、学习的实质、学习的方式与形式、以学习为中心设计、学习环境及其支持、学习效果的评价等方面,来探讨学习科学研究的重要问题及学科方法论,进而对其未来研究的发展趋势做出预测。     

Problem-Based Learning for Foundation Computer Science Courses

The foundation courses in computer science pose particular challenges for teacher and learner alike. This paper describes some of these challenges and how we have designed problem-based learning (PBL) courses to address them. We discuss the particular problems we were keen to overcome: the purely technical focus of many courses; the problems of individual learning and the need to establish foundations in a range of areas which are important for computer science graduates. We then outline our course design, showing how we have created problem-based learning courses. The paper reports our evaluation of the approach. This has two parts: assessment of a trial, with a three-year longitudinal follow-up of the students; reports of student learning improve-ment after we had become experienced in full implementation of PBL. We conclude with a summary of our experience over three years of PBL teaching and discuss some of the pragmatic issues around introducing the radical change in teaching, maintaining staff support, and continuing refinement of our PBL teaching. We also discuss some of our approaches to the commonly acknowledged challenges of PBL teaching.     

The Reliability of Students' Ratings of Faculty Teaching Effectiveness

Interdisciplinary teaching requires substantial effort to integrate the disciplines, especially when a wide interdisciplinary gap exists, such as when a course bridges the sciences and humanities. Creating successful science/humanities courses requires more than good intentions; it demands awareness of the challenges that faculty encounter in such courses, along with specific strategies to meet these challenges. We compile findings from theories, case studies, and instructional guides in the interdisciplinary literature, along with faculty interviews and our own teaching experience, to present seven main challenges and suggested strategies for each.     

Validating curriculum development using text mining

Interdisciplinarity requires the collaboration of two or more disciplines to combine their expertise to jointly develop and deliver learning and teaching outcomes appropriate for a subject area. Curricula and assessment mapping are critical components to foster and enhance interdisciplinary learning environments. Emerging careers in data science and machine learning coupled with the necessary graduate outcomes mandate the need for a truly interdisciplinary pedagogical approach. The challenges for emerging academic disciplines such as data science and machine learning center on the need for multiple fields to coherently develop university-level curricula. Using text mining, we empirically analyze the breadth and depth of existing tertiary-level curricula to quantify patterns in curricula through the use of surface and deep cluster analysis. This approach helps educators validate the breadth and depth of a proposed curriculum relative to the broad evolution of data science as a discipline.     

Using Multi-Modal Representations to Improve Learning in Junior Secondary Science

There is growing research interest in both the challenges and opportunities learners face in trying to represent scientific understanding, processes and reasoning. These challenges are increasingly well understood by researchers, including integrating verbal, visual and mathematical modes in science discourse, and making strong conceptual links between classroom experiences and diverse 3D and 2D representations. However, a matching enhanced pedagogy of representation-rich learning opportunities, including their theoretical justification, is much less clearly established. Our paper reports on part of a three-year project to identify practical and theoretical issues entailed in developing a pedagogical framework to guide teacher understanding and practices to maximize representational opportunities for learners to develop conceptual understandings in science.     

Biology Education Research: Lessons and Future Directions

This feature draws on a 2012 National Research Council report to highlight some of the insights that discipline-based education research in general—and biology education research in particular—have provided into the challenges of undergraduate science education. It identifies strategies for overcoming those challenges and future directions for biology education research.Biologists have long been concerned about the quality of undergraduate biology education. Indeed, some biology education journals, such as the American Biology Teacher, have been in existence since the 1930s. Early contributors to these journals addressed broad questions about science learning, such as whether collaborative or individual learning was more effective and the value of conceptualization over memorization. Over time, however, biology faculty members have begun to study increasingly sophisticated questions about teaching and learning in the discipline. These scholars, often called biology education researchers, are part of a growing field of inquiry called discipline-based education research (DBER).DBER investigates both fundamental and applied aspects of teaching and learning in a given discipline; our emphasis here is on several science disciplines and engineering. The distinguishing feature of DBER is deep disciplinary knowledge of what constitutes expertise and expert-like understanding in a discipline. This knowledge has the potential to guide research focused on the most important concepts in a discipline and offers a framework for interpreting findings about students’ learning and understanding in that discipline. While DBER investigates teaching and learning in a given discipline, it is informed by and complementary to general research on human learning and cognition and can build on findings from K–12 science education research.DBER is emerging as a field of inquiry from programs of research that have developed somewhat independently in various disciplines in the sciences and engineering. Although biology education research (BER) has emerged more recently than similar efforts in physics, chemistry, or engineering education research, it is making contributions to the understanding of how students learn and gain expertise in biology. These contributions, together with those that DBER has made in physics and astronomy, chemistry, engineering, and the geosciences, are the focus of a 2012 report by the National Research Council (NRC, 2012 ).1 For biologists who are interested in education research, the report is a useful reference, because it offers the first comprehensive synthesis of the emerging body of BER and highlights the ways in which BER findings are similar to those in other disciplines. In this essay, we draw on the NRC report to highlight some of the insights that DBER in general and BER in particular have provided into effective instructional practices and undergraduate learning, and to point to some directions for the future. The views in this essay are ours as editors of the report and do not represent the official views of the Committee on the Status, Contributions, and Future Directions of Discipline-Based Education Research; the NRC; or the National Science Foundation (NSF).     

教育学原理学科的科学性质与基本问题

可证伪性是科学划界的标准。教育学原理作为一门学科,属于原理理论,即通过经验世界本身来确立新的基本假设,运用分析的方法揭示出现象的普遍特征,它是建立于原理(原则)基础之上的演绎推理体系。教育学原理属于基础研究学科,而且是所有教育学分支学科的基础。迄今为止的教育学原理学科仍然是教育哲学性质的,是哲学原理,而不是科学原理。教育学原理学科是研究人类社会传承自己的珍贵知识文化资源的科学原理体系,其基本问题源于教育的基本矛盾,即人类个体生命的有限性与社会知识文化资源的无限性之间的矛盾。教育学原理学科的基本问题是课程问题、教学问题和学习问题的“三位一体”。     

Educational Challenges of Molecular Life Science: Characteristics and Implications for Education and Research

Molecular life science is one of the fastest-growing fields of scientific and technical innovation, and biotechnology has profound effects on many aspects of daily life—often with deep, ethical dimensions. At the same time, the content is inherently complex, highly abstract, and deeply rooted in diverse disciplines ranging from “pure sciences,” such as math, chemistry, and physics, through “applied sciences,” such as medicine and agriculture, to subjects that are traditionally within the remit of humanities, notably philosophy and ethics. Together, these features pose diverse, important, and exciting challenges for tomorrow''s teachers and educational establishments. With backgrounds in molecular life science research and secondary life science teaching, we (Tibell and Rundgren, respectively) bring different experiences, perspectives, concerns, and awareness of these issues. Taking the nature of the discipline as a starting point, we highlight important facets of molecular life science that are both characteristic of the domain and challenging for learning and education. Of these challenges, we focus most detail on content, reasoning difficulties, and communication issues. We also discuss implications for education research and teaching in the molecular life sciences.     

试论我国高等教育在建设学习型社会中的作用

本文探讨构成学习型社会的基本条件和基本特征 ,以及学习型社会中我国高等教育新的使命。在全面建设小康社会的进程中 ,必须把不断提高人民大众的科学文化知识水平 ,形成全民的学习型社会作为一项重大的战略任务。高等教育在形成学习型社会中 ,应发挥其先导作用 ,并成为实施终身教育的主体力量。     

大学科技园与大学学科建设

大学科技园是大学社会职能的重要延伸,与大学的学科建设有着良好的互动关系,尤其是对一些应用学科和新兴学科,这种互动作用更加明显。大学科技园的发展受到依托大学的学科水平、学科结构、学科组织和学科文化的影响,特别是大学的优势学科是大学科技园发展特色产业的技术基础。大学科技园推动着大学学科方向、学科梯队、学科发展条件、人才培养等学科要素的建设。     

教学为什么需要哲学

教学之所以需要哲学,是因为哲学作为方法论指导教学研究,且作为思想资源促进教学理论的进步。哲学还具有帮助教师形成教学世界观的作用,促进教师认识到教学是人的世界、是探究的世界、是意义的世界。哲学指导教学研究的功能不能替代具体学科的作用,研究者借鉴哲学成果研究教学问题,要注意运用的条件。当前在教师培养上,虽注重学科知识的学习和教学技能的训练,但缺乏哲学对教师的涵养。这种缺陷不仅影响到教师对自身教学生活的领悟,也影响到对学生人生观的引导。教师要通过学习哲学以形成教学生活理想和宽容态度,提高思维品质,从而丰富和提升教师的内在精神。     

Learning from each other: what social studies can learn from the controversy surrounding the teaching of evolution in science

This article addresses the need for researchers to move beyond discipline-specific approaches to research and practice and offers an example of how interdisciplinary understandings can increase knowledge in respective disciplines. The specific focus of the article is the shared challenges of broaching controversy in science and social studies classrooms. Although there is much that social studies teachers can learn about the teaching of controversial public issues from the challenges science educators face in teaching evolutionary theory, and vice versa, the two literature bases have little overlap. Through this example of broaching curricular controversy in the classroom, the author argues that content instruction can be improved by increasing awareness of research and practice in other disciplines.     

CLASSROOMS AND CULTURE: THE ROLE OF CONTEXT IN SHAPING MOTIVATION AND IDENTITY FOR SCIENCE LEARNING IN INDIGENOUS ADOLESCENTS

Many rural indigenous communities rely on science knowledge and innovation for survival and economic advancement, which requires community members to be motivated for learning science. Children in these communities have been viewed by some as unmotivated due to their low science achievement as they progress in school, particularly into majority secondary schools. Current theories of motivation, such as achievement goal theory, take classroom context into account when examining individual motivation. However, motivational climate can also be considered as tightly woven with the cultural and social practices of a community rather than individual perception. In this study, researchers spent time in two indigenous villages observing classrooms, participating in community events, and talking with community members. During those visits, Attayal/Sediq children in Taiwan (n?=?18) and Mopan Mayan children in Belize (n?=?18) participated in three semi-structured interviews about their experience learning science in school, home, and community. Results indicate that motivation for learning science is closely linked with their identity as science learners. Three themes emerged to illuminate how social practices may or may not support individual identity, and consequently motivation, for learning science—student/teacher relationships, support for learning, and motivational climate. Differences between children in Taiwan and Belize are explored. Implications for motivation theory, educational practice, and policy are discussed.     

Multiple Representation in Learning About Evaporation

There has been extensive research on children’s understanding of evaporation, but representational issues entailed in this understanding have not been investigated in depth. This study explored three students’ engagement with science concepts relating to evaporation through various representational modes, such as diagrams, verbal accounts, gestures, and captioned drawings. This engagement entailed students (a) clarifying their thinking through exploring representational resources; (b) developing understanding of what these representations signify; and (c) learning how to construct representational aspects of scientific explanation. The study involved a sequence of classroom lessons on evaporation and structured interviews with nine children, and found that a focus on representational challenges provided fresh insights into the conceptual task involved in learning science. The findings suggest that teacher‐mediated negotiation of representational issues as students construct different modal accounts can support enriched learning by enabling both (a) richer conceptual understanding by students; and (b) enhanced teacher insights into students’ thinking.     

Computer science concept inventories: past and future

Concept Inventories (CIs) are assessments designed to measure student learning of core concepts. CIs have become well known for their major impact on pedagogical techniques in other sciences, especially physics. Presently, there are no widely used, validated CIs for computer science. However, considerable groundwork has been performed in the form of identifying core concepts, analyzing student misconceptions, and developing CI assessment questions. Although much of the work has been focused on CS1 and a CI has been developed for digital logic, some preliminary work on CIs is underway for other courses. This literature review examines CI work in other STEM disciplines, discusses the preliminary development of CIs in computer science, and outlines related research in computer science education that contributes to CI development.     

THE NATURE OF DISCIPLINES

Like chemistry, which is a very large field of study (a discipline) with many subareas (embedded disciplines) within it, education is also a large discipline with embedded disciplines, including science education. However, chemistry and other sciences are theoretical disciplines, based on the fact that information within these disciplines is stable. Certain other disciplines in which the information is not as stable are classified as practical or productive, and in these theorizing is limited to small, localized, theories rather than the development of large explanatory models. Since the knowledge in education (including science education) is not particularly stable, this area is a combination of a practical and a productive discipline. Major theories are, then, not possible and research efforts should be directed toward (1) smaller, localized, theories, (2) application of borrowed theories from other disciplines, and (3) stabilization of knowledge.     

Social Science Boot Camp: Development and Assessment of a Foundational Course on Academic Literacy in the Social Sciences

We developed a course, as part of our institution's core program, which provides students with a foundation in academic literacy in the social sciences: how to find, read, critically assess, and communicate about social science research. It is not a research methods course; rather, it is intended to introduce students to the social sciences and be better consumers of social science research. In this article, we describe the key learning objectives of this course, the basic content areas, and some of the innovative teaching and learning strategies used in the course. We also provide empirical evidence of the effectiveness of the course in meeting its learning objectives and of student responses to the course. Finally, we discuss some of the challenges in developing interdisciplinary core courses and offer suggestions for best practices for teaching social science literacy as part of the core curriculum.     

EXPLORING TEACHERS’ KNOWLEDGE AND PERCEPTIONS ACROSS MATHEMATICS AND SCIENCE THROUGH CONTENT-RICH LEARNING EXPERIENCES IN A PROFESSIONAL DEVELOPMENT SETTING

This paper examines upper elementary and middle school teachers’ learning of mathematics and science content, how their perceptions of their disciplines and learning of that discipline developed through content-rich learning experiences, and the differences and commonalities of the teachers’ learning experiences relative to content domain. This work was situated within a larger professional development (PD) program that had multiple, long-term components. Participants’ growth occurred in 4 primary areas: knowledge of content, perceptions of the discipline, perceptions about the learning of the discipline, and perceptions regarding how students learn content. Findings suggest that when embedded within an effective professional development context, content can be a critical vehicle through which change can be made in teachers’ understandings and perceptions of mathematics and science. When participants in our study were able to move beyond their internal conflicts and misunderstandings, they could expand their knowledge and perceptions of content and finally bridge to re-conceptualize how to teach that content. These findings further indicate that although teachers involved in both mathematics and science can benefit from similar overall PD structures, there are some unique challenges that need to be addressed for each particular discipline group. This study contributes to what we understand about teacher learning and change, as well as commonalities and differences between teachers’ learning of mathematics and science.