Framework for Empirical Research on Science Teaching and Learning

In view of the research on education—and subject-related education in particular—that has been conducted in recent years, it would seem useful to describe the current state and future trends of research on science teaching and learning. In the present article, research findings are described, the deficits of science education are analyzed, and medium- and long-term research goals are specified from the perspective of an interdisciplinary cooperative effort between specialists in the fields of empirical educational research; the psychology of learning and instruction; and biology, chemistry, and physics education. Revised and supplemented version of Fischer, H. E., Klemm, K., Leutner, D., Sumfleth, E., Tiemann, R., and Wirth, J. (2003). Naturwissenschaftsdidaktische Lehr-Lernforschung: Defizite und Desiderata [Natural science-didactical learning research: Deficits and desiderata]. Zeitschrift für Didaktik der Naturwissenschaften, 9, 179–208.     

Perceptions of diverse educators regarding ethnic-minority deaf college students, role models, and diversity

IN A QUALITATIVE STUDY, the researchers documented the perceptions of deaf and hearing ethnically diverse university faculty and staff regarding issues related to the education of ethnic-minority deaf college students. These experienced educators commented on the importance of ethnic-minority role models for deaf college students, the academic preparedness of ethnic-minority deaf students, these students' level of comfort on campus, and the success of institutional efforts to increase awareness regarding ethnic diversity. The insightful reflections of these diverse educators can be informative in improving the educational experience of ethnic-minority deaf students.     

Concurrent and predictive validity of the WISC-R,McCarthy Scales,Woodcock-Johnson,and academic achievement

Twenty-six normal first-grade children (M = 7.0 years) were administered the WISC-R, the McCarthy Scales, and the Woodcock-Johnson Scales of Cognitive Ability. Two years later, their levels of academic achievement were determined by way of the WRAT and global teacher ratings of classroom performance. Pearson intercorrelations among the summary indices of the three intellectual measures were significant and uniformly high (rang. 77-.95). Correlations between first-grade ability scores and third-grade achievement measures also were significant (range .64-.90), suggesting strong predictive validity for each of the cognitive instruments. Though not significantly so, the correlations between the Woodcock-Johnson and achievement tended to be the highest. The results indicate that all three intellectual measures are appropriate for predicting later academic achievement in young school-aged children.     

Inquiry-Learning with WebLab: Undergraduate Attitudes and Experiences

The Microelectronics WebLab at MIT allows students to do actual (not simulated) laboratory research on state-of-the art equipment through the Internet. This study assesses the use of WebLab in a junior-level course on microelectronic devices and circuits in 2004–05 and 2005–06. In quantitative surveys and qualitative interviews, students and faculty reported that WebLab was effective as an instrument of learning, and grew more so with refinements of the program. WebLab allowed undergraduates to learn at their own pace and on their own schedules. It enabled them to use different processes of learning (intuitive, visual, abstract), and it gave them an opportunity to link individual and collaborative effort in creative combinations. Online laboratories on this model have broad applications in the experimental sciences and in other research-oriented disciplines.     

Visual Learning and the Brain: Implications for Dyslexia

ABSTRACT— The central and peripheral visual fields are structurally segregated in the brain and are differentiated by their anatomical and functional characteristics. While the central field appears well suited for tasks such as visual search, the periphery is optimized for rapid processing over broad regions. People vary in their abilities to make use of information in the center versus the periphery, and we propose that this bias leads to a trade-off between abilities for sequential search versus contemporaneous comparisons. The parameter of periphery-to-center ratio (PCR) describes the degree of peripheral bias, which evidence suggests is high in many people with dyslexia. That is, many dyslexics favor the peripheral visual field over the center, which results in not only search deficits but also (more surprisingly) talents for visual comparison. The PCR framework offers a coherent explanation for these seemingly contradictory observations of both deficit and talent in visual processing. The framework has potential implications for instructional support in visually intensive domains such as science and mathematics.     

Exploring cultural differences in critical thinking: Is it about my thinking style or the language I speak?

Critical thinking is deemed as an ideal in academic settings, but cultural differences in critical thinking performance between Asian and Western students have been reported in the international education literature. We examined explanations for the observed differences in critical thinking between Asian and New Zealand (NZ) European students, and tested hypotheses derived from research in international education and cultural psychology. The results showed that NZ European students performed better on two objective measures of critical thinking skills than Asian students. English proficiency, but not dialectical thinking style, could at least partially if not fully explain these differences. This finding holds with both self-report (Study 1) and objectively measured (Study 2a) English proficiency. The results also indicated that Asian students tended to rely more on dialectical thinking to solve critical thinking problems than their Western counterparts. In a follow-up data analysis, students' critical thinking was found to predict their academic performance after controlling for the effects of English proficiency and general intellectual ability, but the relationship does not vary as a function of students' cultural backgrounds or cultural adoption (Study 2b). Altogether, these findings contribute to our understanding of the influence of culture on critical thinking in international education.     

The Use of Additional Information in Problem-Oriented Learning Environments

Self-directed learning with authentic and complex problems (problem-oriented learning) requires that learners observe their own learning and use additional information when it is appropriate (e.g. hypertextual information in computer-supported learning environments). Research results indicate that learners in problem-oriented learning environments often have difficulties using additional information adequately, and that they should be supported. Two studies with a computer-supported problem-oriented learning environment in the domain of medicine analysed the effects of strategy instruction on the use of additional information and the quality of the problem representation. In Study 1, an expert model was used for strategy instruction. Two groups were compared: one group with strategy modelling and one group without. Strategy modelling influenced the frequency of looked-up hypertextual information, but did not influence the quality of learners' problem representations. This could be explained by difficulties in applying the general hypertext information to the problem. In Study 2, the additional information was presented in a more contextualised way as graphical representation of the case and its relevant concepts. Again, two groups were compared: one with a strategy instruction text and one without. Strategy instruction texts supported an adequate use of this graphical information by learners and had an effect on the quality of their problem representations. These findings are discussed with respect to the design of additional help systems in problem-oriented learning environments. This revised version was published online in July 2006 with corrections to the Cover Date.