A complex terminology developed around the evolutionary concept of adaptation. One definition of adaptation is synonymous with adaptive evolution and denotes a process of population change driven by natural selection resulting in individuals better able to survive and reproduce in a particular environment (compared to the population before the…

Genetics is a core topic in the biology curriculum of many countries. Learning genetics is difficult for multiple reasons, including the need to reason about complex mechanisms--and to link mechanisms--that occur at different time and space scales. Previous research in genetics education explores students' understandings of inheritance patterns or…

The article reviews the social-educational theorization of the early Soviet psychologist L. S. Vygotsky (1896-1934) in the light of the impact of communicative globalization in educational practice. Vygotsky proposed four "genetic domains" for investigating higher cognitive processes: the phylogenetic (humans undergoing natural…

In this study we investigated how a theoretical framework we developed for making differentiated instruction practical worked out in a trajectory (1 year, 5 sessions) that aimed to support 5 secondary biology teachers in designing differentiated instruction practices. The key feature of the framework is the development of cost-effective…

This study explores one teacher's instructional method for teaching life sciences using argumentation and argumentative writing rather than simple templates for writing claims and evidence. The microethnographic discourse analytic case study reported here included the teacher and 26 "advanced" eighth-grade students in a suburban middle…

Rank Aggregation techniques have found wide applications for metasearch along with other streams such as Sports, Voting System, Stock Markets, and Reduction in Spam. This paper presents the optimization of rank lists for web queries put by the user on different MetaSearch engines. A metaheuristic approach such as Genetic algorithm based rank…

Learning progressions (LPs) are theoretical models of how learners develop expertise in a domain over extended periods of time. Recent policy reports have touted LPs as a promising approach to aligning standards, curriculum, and assessment. However, the scholarship on LPs is relatively sparse, and the jury is still out on the theoretical and…

Perhaps the most common criterion for partitioning a data set is the minimization of the within-cluster sums of squared deviation from cluster centroids. Although optimal solution procedures for within-cluster sums of squares (WCSS) partitioning are computationally feasible for small data sets, heuristic procedures are required for most practical…

Educational efforts to incorporate ethical decision-making in science classrooms about current science and technology issues have met with great challenges. Some research suggests that the inherent complexity in both the subject matter content and the structure and dynamics of classrooms contribute to this challenge. This study seeks to…

The main argument of this article is that human living systems are open, dynamic, intentional systems and, therefore, are capable of building ever more complex behaviors through self-organization and self-direction. This principle underlying general human development is also applicable to the development of gifted and talented behaviors. These…

In this article I develop heuristic types for understanding how the U.S. evangelical Christian subculture engages the newer science of molecular biology as it works to legitimate and enchant religious worldview: 1.) "symbolic engagement," employing genes and DNA as sacred icon; 2.) "disputatious engagement," debating genetic essentialism and…

This study investigates the relationship between the students' understanding of the aims of an investigative activity and their performance when conducting it. One hundred and eighty-one year nine students from a public middle school in Brazil took part in the study. Students working in pairs were asked to investigate two problems using a…

Examined the problem-solving performances of novices (11 undergraduates) and experts (9 graduate students and instructors), comparing them in terms of background expertise and problem-solving success. Also examined problem-solving behaviors reported in other domains and determined whether or not genetics is a fruitful area for problem-solving…

Explains the use of genetic algorithms to combine results from multiple query evaluations to improve relevance in information retrieval. Discusses niching techniques, relevance feedback techniques, and evolution heuristics, and compares retrieval results obtained by both genetic multiple query evaluation and classical single query evaluation…

Examines how problem solving in the domain of Mendelian genetics proceeds in situations where solvers' mental models are insufficient to solve problems at hand (model-revising problem solving). The study addressed the heuristics characteristic of successful model-revising problem solving and other aspects of student model use. (LZ)