Embracing and Harnessing the Intimate Connection Between Emotion and Cognition to Help Students Learn

Traditionally, cognition and emotion were believed to be independent systems; however, research in the cognitive and neurobiological sciences has shown that the relationship between cognition and emotion is both interdependent and extensive. This intimate connection between emotion and cognition is leading to a number of insights that have the potential to inform and transform educational practices at all levels—from the classroom to the curriculum to educational policy. The question that has been on my mind (and on my heart) is, as a teacher, how can I both embrace and harness the power of emotion to help my students’ learning be more meaningful, useful, and intrinsically motivated? In this article, I would like to share with you some of the effective practices that I have implemented in my classroom and how I have worked to intentionally embed the emotional aspect of learning into the framework of the courses I teach.     

Cognitive Load Theory as a Tool for Expertise Development

This special issue is dedicated to recentdevelopments within cognitive load theory (CLT)and identifies some instructional implicationsof the interaction between informationstructures and cognitive architecture. Thepresent article discusses the different studiesin this special issue. An important conclusionis that recent CLT research recognizes thelearners' level of expertise as an importantfactor mediating the relation between cognitivearchitecture, information structures, andlearning outcomes. In this context, we discussthe role of expertise in CLT research and therole of CLT in expertise research. Based onthis discussion, the use of CLT as a tool todevelop expertise is identified as a verypromising approach.     

Facing Facts in U.S. Science and Mathematics Education: Where We Stand,Where We Want to Go

The Third International Mathematics and Science Study (TIMSS) provides data that seems clearly important to science and mathematics education in the U.S. TIMSS gathered extensive data on curriculum, textbooks, teachers, and instructional practices in science and mathematics education and some of these data are presented and discussed. Eighth grade achievement data show the U.S. to be somewhat above average in science achievement but consistently average or below in mathematics. U.S. official curricula cover comparatively many topics and are relatively unfocused. U.S. science and mathematics textbooks typically take a cautious, inclusive approach keeping traditional content while adding new reform topics. They thus lack. Teachers, without guidance to help them focus, typically divide their attention among many topics. Empirically, there is little agreement in the U.S. on what is truly basic judging by common topics among curricula and textbooks. U.S. teaching, at least in mathematics, is teacher and moves among many different activities, failing to tell a coherent story. We must face these as we seek to find ways to become what we want to be in providing science and mathematics education.     

Using Quality Circles to Enhance Student Involvement and Course Quality in a Large Undergraduate Food Science and Human Nutrition Course

ABSTRACT: Large undergraduate classes are a challenge to manage, to engage, and to assess, yet such formidable classes can flourish when student participation is facilitated. One method of generating authentic student involvement is implementation of quality circles by means of a Student Feedback Committee (SFC), which is a volunteer problem-solving and decision-making group that communicates student-generated input to the teaching team for the purpose of improving the course content, structure, and environment in the present and redesigning it for the future. Our objective was to implement a SFC in a large introductory Food Science and Human Nutrition (FSHN 101) course to enhance student involvement and course quality. Overall, the SFC provided a continuous and dynamic feedback mechanism for the teaching team, a beneficial experience for the SFC members, and an opportunity for class members to confidentially share their input to enhance the quality of the course throughout the semester. This article includes a brief introduction of the use of quality circles in higher education classrooms, as well as our methods of implementation and assessment after using the SFC for 3 semesters (Spring 2003, Fall 2003, and Spring 2004).     

A case study of scientific reasoning

Concern is increasingly being expressed about the teaching of higher order thinking skills in schools and the levels of understanding of scientific concepts by students. Metaphors for the improvement of science education have included science as exploration and science as process skills for experimentation. As a result of a series of studies on how children relate evidence to their theories or beliefs, Kuhn (1993a) has suggested that changing the metaphor to science as argument may be a fruitful way to increase the development of higher order thinking skills and understanding in science instruction. This report is of a case study into the coordination of evidence and theories by a grade 7 primary school student. This student was not able to coordinate these elements in a way that would enable her to rationally consider evidence in relation to her theories. It appeared that the thinking skills associated with science as argument were similar for her in different domains of knowledge and context. Specializations: science learning, scientific reasoning, learning environments, science teacher education. Specializations: cognition, reasoning in science and mathermatics.     

Peer versus staff tutoring in problem-based learning

Effects of student versus staff tutoring on student learning in a problem-based, health sciences curriculum were studied. Academic achievement of 334 tutorial groups guided by staff tutors was compared with achievement of 400 groups guided by student tutors. In addition, students rated their tutor's performance on four behaviors considered critical to facilitating student learning. Overall, students guided by a staff tutor achieved somewhat better. In terms of practical significance, the difference was, however, fairly small. Staff tutors were rated as more knowledgeable and their contributions as more relevant. In addition, they asked stimulating questions to a larger extent. However, an interaction effect was found between the ratings and the year of study: Peer tutors displayed the supportive behaviors more extensively in the first year, whereas staff tutors' ratings were higher as the curriculum advanced. These results were interpreted in terms of the cognitive congruence framework.Parts of this article have been presented to the Annual Meeting of the American Educational Research Association, Atlanta, GA, April, 1993.     

Students’ Research-Informed Socio-scientific Activism: Re/Visions for a Sustainable Future

In many educational contexts throughout the world, increasing focus has been placed on socio-scientific issues; that is, disagreements about potential personal, social and/or environmental problems associated with fields of science and technology. Some suggest (as do we) that many of these potential problems, such as those associated with climate change, are so serious that education needs to be oriented towards encouraging and enabling students to become citizen activists, ready and willing to take personal and social actions to reduce risks associated with the issues. Towards this outcome, teachers we studied encouraged and enabled students to direct open-ended primary (e.g., correlational studies), as well as secondary (e.g., internet searches), research as sources of motivation and direction for their activist projects. In this paper, we concluded, based on constant comparative analyses of qualitative data, that school students’ tendencies towards socio-political activism appeared to depend on myriad, possibly interacting, factors. We focused, though, on curriculum policy statements, school culture, teacher characteristics and student-generated research findings. Our conclusions may be useful to those promoting education for sustainability, generally, and, more specifically, to those encouraging activism on such issues informed by student-led research.     

Engineering design processes in seventh-grade classrooms: bridging the engineering education gap

This paper reports on some findings from the first year of a three-year longitudinal study, in which seventh- to ninth-graders were introduced to engineering education. Specifically, the paper addresses students’ responses to an initial design activity involving bridge construction, which was implemented at the end of seventh grade. This paper also addresses how students created their bridge designs and applied these in their bridge constructions; their reflections on their designs; their reflections on why the bridge failed to support increased weights during the testing process; and their suggestions on ways in which they would improve their bridge designs. The present findings include identification of six, increasingly sophisticated levels of illustrated bridge designs, with designs improving between the classroom and homework activities of two focus groups of students. Students’ responses to the classroom activity revealed a number of iterative design processes, where the problem goals, including constraints, served as monitoring factors for students’ generation of ideas, design thinking and construction of an effective bridge.     

Data modelling with first-grade students

This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Results are reported from the first year of a 3-year longitudinal study in which three classes of first-grade children (6-year-olds) and their teachers engaged in data modelling activities. The theme of Looking after our Environment, part of the children’s science curriculum, provided the task context. The goals for the two activities addressed here included engaging children in core components of data modelling, namely, selecting attributes, structuring and representing data, identifying variation in data, and making predictions from given data. Results include the various ways in which children represented and re-represented collected data, including attribute selection, and the metarepresentational competence they displayed in doing so. The “data lenses” through which the children dealt with informal inference (variation and prediction) are also reported.