Student intrinsic motivation,science teaching practices and student learning

Conclusion This paper has been concerned with the application of basic understandings about intrinsic motivation and curiosity behaviour to the teaching of science, and in particular senior high school biology. The important role of student knowledge in the generation, maintenance and resolution of cognitive conflict is congruent with the renewed interest in studying students' everyday knowledge of curriculum content. However the study of classroom teaching processes in terms of their facilitation of intrinsic motivation is not common. Yet the data collected in this study demonstrates the importance of closely examining the implementation of courses such as the Web of Life, if the arousal of intrinsic motivation is an intended student outcome. Both interview and observational data indicated that the teaching styles adopted by teachers in this study were not likely to engender curiosity amongst students. Perhaps this should be expected. The use of a wide range of reference materials to investigate problems that arise in the classroom, the encouragement of students to do additional work on a topic if they are particularly interested, and a willingness on the part of the teacher to allow students sufficient time to formulate their own solutions to problems are classroom processes which necessitate a greater flexibility in curriculum presentation than can be often tolerated by teacher and school management. Such processes may be incompatible with organisational properties of the school and the pressures often placed upon students to perform to a high standard on rigidly defined examinations.     

The contribution of perceived classroom learning environment and motivation to student engagement in science

This study investigated middle school students’ engagement in science in relation to students’ perceptions of the classroom learning environment (teacher support, student cohesiveness, and equity) and motivation (self-efficacy beliefs and achievement goals). The participants were 315 Turkish sixth and seventh grade students. Four hierarchical multiple regression analyses were conducted on the dependent variables of cognitive, behavioral, emotional, and agentic engagement. The results indicated that engagement components were positively predicted by most of the perceived learning environment variables, while motivational factors had some differential predictive effects on engagement components. The predictor variables explained 26, 28, 33, and 30 % of the variance in the cognitive, behavioral, emotional, and agentic engagement components, respectively.     

How teaching science using project-based learning strategies affects the classroom learning environment

This study involved 458 ninth-grade students from two different Arab middle schools in Israel. Half of the students learned science using project-based learning strategies and the other half learned using traditional methods (non-project-based). The classes were heterogeneous regarding their achievements in the sciences. The adapted questionnaire contained 38 statements concerning students’ perceptions of the science classroom climate. The results of the study revealed that students who learned sciences by project-based teaching strategies perceived their classroom learning climate as significantly more Satisfying and Enjoyable, with greater Teacher Supportiveness, and the Teacher–Student Relationships as significantly more positive. The differences between the experimental (project-based learning strategies) and control (non-project) groups regarding their perceptions of the science classroom learning climate could be explained by differences between the two science teaching and learning strategies.     

The role of student characteristics in studying micro teaching–learning environments

This study explored the role of student characteristics in studying micro teaching–learning environments. The overarching hypothesis is that teachers teach differently to micro environments in their classrooms. This study is the first of a series exploring the following four questions: (1) What student profiles are identified at the beginning of a school year with respect to cognitive and motivational-affective factors? (2) How do students with different profiles perceive conditions in their learning environment? (3) To what degree do classrooms differ in the composition of student profiles? (4) What are possible consequences for examining micro teaching–learning environments? The study investigated 82 randomly selected high school science classrooms. Student characteristics were assessed at the beginning of the school year. After a video taped teaching unit, students were asked to rate the degree to which they experienced learning conditions as supportive. Latent class analysis (LCA) showed five distinct student profiles that varied along cognitive and motivational-affective dimensions. Multilevel analyses showed effects of student profiles assessed at the beginning of the school year on the students’ perception of learning conditions in a teaching unit 4 months later. To illustrate consequences for examining micro teaching–learning environments, student profiles were linked to video examples. The examples point to the special value of LCA in studying micro teaching–learning environments: they make it possible to focus on the individual student and to investigate the interplay of student characteristics and the learning environment.     

The effects of a web-based learning environment on student motivation in a high school earth science course

Collaborating closely with a tenth-grade science teacher, we designed a Web-Based Learning Environment (Web-LE) to improve the students’ motivation to learn science. Factors believed to enhance intrinsic motivation (challenge, control, curiosity, and fantasy) were integrated into the instructional design of the Web-based learning tool. The Web-LE was implemented in the teacher’s tenth-grade classroom as a three-day student-centered learning activity. Data collection methods included individual student interviews, teacher interviews, motivation questionnaires, and observations. This study revealed multiple forms of evidence that the Web-LE and the associated learning activity improved students’ motivation. This study illustrates the benefits of educational researchers working closely with teachers using design-based research methods to successfully solve instructional problems and identify reusable design principles. Design principles for the integration of intrinsic motivation factors into the development of similar Web-LEs are presented as well as directions for future research.     

The interaction of learning environments and student discourse about knowing,learning, and the nature of science: Two longitudinal case studies

This is one of a series of studies conducted by a high school physics teacher, who used constructivist referents to plan and enact the curriculum, and to understand and improve the learning environment in his physics classes. Data were collected in the course of a two-year physics course including (a) repeated administrations of a classroom learning environment survey, (b) written essays on the topics of knowing, learning, and classroom learning environment, and (c) interviews. While there was a general trend for students to adopt more constructivist views of knowing and learning, there was also a small number who resisted to adapt to the constructivist learning environment in their physics course. Two case studies of individual students are used to illustrate the interactions of the learning environment, student understanding of scientific knowledge, and the nature of science, and students' views of their own learning.     

教师的教学观对学生学习的影响(下)

三、数据分析结果第一项分析是计算教师的 SPTCT分数 (教学观 )与他们的学生的 L PQ分数变化 (学习方式变化 )以及成绩测验的 z分数变化间的相关 ,如表 4所示。表 4　教师教学观与学生学习方式的改变以及学习成绩的变化间的相关样本数传授观应试观能力观态度观育人观灌输倾向互动倾向表层式学习 885 .13* .0 0 .0 4 .0 2 .0 3.0 7 .0 3深层式学习 889- .0 1.0 4 .0 3.0 3- .0 2 .0 3.0 2成就式学习 888.0 1.0 1.0 7.10 * .0 8.0 1.10 *常规测验成绩 10 34- .2 5 * .0 2 .0 1- .0 2 .0 9* - .13* .11*开放性测验成绩 90 5 - .19* - .0 7.…     

Effects of different student response modes on science learning

Student response systems (SRSs) are wireless answering devices that enable students to provide simple real-time feedback to instructors. This study aims to evaluate the effects of different SRS interaction modes on elementary school students’ science learning. Three interaction modes which include SRS Individual, SRS Collaborative, and Classroom were examined. A pretest–posttest quasi-experimental design was used to compare the effects of the three interaction modes on science posttest scores for higher order thinking (HOT) questions as well as lower order thinking questions. The results show that SRS Collaborative mode has significant positive effects on science posttest scores of HOT questions. This study points to the potential benefits of using SRS, particularly for collaborative tasks, to solve problems that require HOT skills.     

傈僳族学生的学习特点及对策

本文初步分析了傈僳族学生在学校学习所具有的一些特征,并提出了相应的教育对策。     

Postgraduate training in student learning and teaching

A postgraduate training programme in the areas of student learning and supervision is presented. An experiential method of training is employed which involves laboratory and pilot plant supervisions in the Chemical Engineering Department of Imperial College. A series of workshops is used to facilitate discussion on teaching theory and practice, as well as on student counselling and communication issues. Log-book entries are used for the documentation of specific events arising from the supervision sessions, which provide a good basis for peer discussion, as well as an opportunity for self-reflection. A number of examples arising from the workshops are used to demonstrate the mutual benefits of the training programme to academic staff and students. In addition to training in teaching skills, the programme is shown to provide a mechanism for the quality control of demonstrators involved in undergraduate teaching, as well as a regular feedback mechanism to staff on the efficacy of the laboratory-based courses. Through teaching and a structured staff support scheme, the programme is believed to address some of the current concerns on the non-technical (soft) training, and on the further development of the broad science and engineering knowledge of UK postgraduate students.     

School policy on teaching and school learning environment: direct and indirect effects upon student outcome measures

School policy on teaching and the school learning environment (SLE) are the main school factors of the dynamic model of educational effectiveness (Creemers & Kyriakides, 2008 Kyriakides, L. and Tsangaridou, N. 2008. Towards the development of generic and differentiated models of educational effectiveness: A study on school and teacher effectiveness in physical education. British Educational Research Journal, 34: 807–838. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). A longitudinal study in which 50 primary schools, 108 classes, and 2369 students participated generated evidence supporting the validity of the dynamic model. This article reports the results of a re-analysis of the data of this study in order to search for direct and indirect effects of school factors included in the model. Using multilevel structural equation modelling techniques, indirect effects of school policy on teaching and SLE upon achievement in mathematics and Greek language are demonstrated. Implications of findings are drawn. Comparing the results of the multilevel direct and indirect effect model with those from using a multilevel regression model, we demonstrate the importance of choosing appropriate conceptual models and using relevant methodological approaches to understand the dynamic nature of educational effectiveness.     

Design‐based science and student learning

Design‐Based Science (DBS) is a pedagogy in which the goal of designing an artifact contextualizes all curricular activities. Design is viewed as a vehicle through which scientific knowledge and real‐world problem‐solving skills can be constructed. Following Anderson and Hogan's (1999) call to document the design of new science pedagogies, this goal of this article is twofold: (a) to describe DBS, and (b) to evaluate whether significant science knowledge was constructed during consecutive enactments of three DBS units. In this study, 92 students participated in the consecutive enactments of three different DBS units. The development of their scientific knowledge was assessed through posters and models constructed during the curricular enactments and by identical pre‐ and post‐instruction written tests. The posttests showed considerable gains compared with the pretests, while the models and posters show application of this newly constructed knowledge in solving a design problem. These positive results support efforts being made to restructure school science around inquiry‐based curricula in general and design‐based curricula in particular. © 2004 Wiley Periodicals, Inc. J Res Sci Teach 41: 1081–1110, 2004     

Predicting learning from student interaction: Defining the interaction variables

The results of four recent studies of student interaction and learning are summarized and integrated to demonstrate (a) the power of specific student interaction variables and sequences of behavior in predicting achievement in small group settings, and (b) the uninterpretability of results based on general measures or isolated behaviors. Conflicting results from other studies are re‐interpreted in light of the importance of specific variables and sequences of behavior. The implications of these results for the measurement of student interaction are discussed.     

Challenge in learning and teaching science

Taking as a basis a conceptualisation of personal challenge having both cognitive/metacognitive (thinking) and affective (feeling) components, the nature and extent of perceived challenge in learning and teaching science were explored for seven teachers and thirty-seven students in five secondary schools over a period of five months. Findings suggest that many secondary students are not challenged by the science they learn in school. Similary, many secondary science teachers are insufficiently challenged by the task of teaching. There are indications, however, that science teaching and learning attitudes and practices can be improved if teachers work to diagnose and change key classroom factors that influence level of perceived challenge in learning.