Computational thinking (CT) is a way of making sense of the natural world and problem solving with computer science concepts and skills. Although CT and science integrations have been called for in the literature, empirical investigations of such integrations are lacking. Prior work in natural selection education indicates students struggle to…

Despite concerted efforts by science educators to understand patterns of evolutionary reasoning in science students and teachers, the vast majority of evolution education studies have failed to carefully consider or control for item feature effects in knowledge measurement. Our study explores whether robust contextualization patterns emerge within…

Reports on a study conducted to identify cognitive factors associated with differences in predicting problem-solving success among high school biology students. Results indicate that successful prediction depends on several factors, including a subject's procedural and declarative knowledge, stage of cognitive development, and experience in…

Examples of scoring protocols, reliability data, and the relationship between components of a laboratory examination are reported. Differences between BSCS and non-BSCS biology students are examined. (AL)

There was no significant difference in attitudes toward biology between high-ability grade nine biology students exposed to 20 randomly selected Invitations to Enquiry'' and similar students whose course did not include invitations. There is some suggestion that more difficult Invitations'' later in the course may have arrested a general decline…

Determined effects of various methods and formats of administering a Piagetian task on college students' (N=376) performance. Concludes neither method nor format influenced subject performance; and this lack of influence is similar for various combinations of method and format. Importance of this finding and implications for teachers are…

Examines successful/unsuccessful distinctions between novices and experts in problem solving in terms of genetic knowledge, use of production rules, strategy selection, use of critical cues, use of logic, understanding of probability, and the thinking process itself. Suggests five implications for genetics instruction and provides three problems…

Reports a study investigating the utility of 52 items, selected from a readily available item pool developed for instructional purposes, when the items are used to measure critical thinking abilities of biology students. The items had reasonably good internal consistency reliability and good concurrent validity. (PR)

Compares 7 biology faculty members, 9 genetic counselors, and 26 undergraduate students according to both expertise and problem-solving success within the domain of genetics. Findings are consistent with the hypothesis that as expertise is attained, the individual restructures knowledge into a framework based upon the critical dimensions which…

Review of literature concerning problem solving in genetics and Piagetian stage theory. Authors conclude the research suggests that formal-operational thought is not strictly required for the solution of the majority of classical genetics problems; however, some genetic concepts are difficult for concrete operational students to understand.…

Assesses the role of science topic instruction combined with logical reasoning strategy instruction in teaching high school students about blood pressure problems. Reports positive effects of the combined instruction compared to science topic instruction. (Author/YP)

Describes a computer program presenting four genetics problems to monitor the problem solving process of college students. Identifies three main areas of difficulty: computational skills; determination of gametes; and application of previous learning to new situations. (Author/YP)

Assesses students' learning of evolution by natural selection within four different sections of an introductory biology course where each section used a different combination of curricular materials and instruction. Reports that comparisons between sections support the use of paired problem-solving instructional strategy in conjunction with the…

The problem-solving behaviors and genetics concepts employed by experts and novices during interaction with the computer simulation CATLAB, were examined. Thirteen subjects (3 experts and 10 novices) investigated a common hypothesis on a specific genetic trait during the computer activity. Using naturalistic research methods, general patterns of…

Describes a study of college students who designed and conducted experiments involving control of variables after being assigned to one of four versions of a computer-based biology simulation learning environment. Finds that reason-justification prompts directed students' attention to understanding the employment of experimental design principles…