More so than any other science in the past several decades, Biology has seen an explosion of new information and monumental discoveries that have had a profound impact on much more than the science itself. Much of this has occurred at the molecular level. Many of these modern concepts, ideas, and technologies, as well as their historical context, can be easily understood and appreciated at the high school level. Moreover, it is argued here that the integration of this is critical for making biology relevant as a modern science. A contemporary high school biology curriculum should adequately reflect this newly acquired knowledge and how it has already has already begun to revolutionize medicine, agriculture, and the study of biology itself. This curriculum provides teachers with a detailed framework for integrating molecular biology into a high school biology curriculum. It is not intended to represent the curriculum for an entire academic year, but should be considered a significant component. In addition to examining key concepts and discoveries, it examines modern molecular techniques, their applications, and their relevance to science and beyond. It also provides several recommended labs and helpful protocols.

This study reports on recurring difficulties experienced by undergraduate students with respect to understanding and interpretation of certain symbolism, nomenclature, terminology, shorthand notation, models and other visual representations employed in the field of Molecular Biology to communicate information. Based on teaching experience and guidelines set out by a four-level methodological framework, data on various topic-related difficulties was obtained by inductive analyses of students’ written responses to specifically designed, free-response and focused probes. In addition, interviews, think-aloud exercises and student-generated diagrams were also used to collect information. Both unanticipated and recurring difficulties were compared with scientifically correct propositional knowledge, categorized and subsequently classified. Students were adept at providing the meaning of the symbol “Δ” in various scientific contexts; however, some failed to recognize its use to depict the deletion of a leucine biosynthesis gene in the form, Δ leu. “Hazard to leucine”, “change to leucine” and “abbreviation for isoleucine” were some of the erroneous interpretations of this polysemic symbol. Investigations on these definitions suggest a constructivist approach to knowledge construction and the inappropriate transfer of knowledge from prior mental schemata. The symbol, “::”, was poorly differentiated by students in its use to indicate gene integration or transposition and in tandem gene fusion. Idiosyncratic perceptions emerged suggesting that it is, for example, a proteinaceous component linking genes in a chromosome or the centromere itself associated with the mitotic spindle or “electrons” between genes in the same way that it is symbolically shown in Lewis dot diagrams which illustrate covalent bonding between atoms. In an oligonucleotide shorthand notation, some students used valency to differentiate the phosphite trivalent form of the phosphorus atom from the pentavalent phosphodiester group, yet the concept of valency was poorly understood. By virtue of the visual form of a shorthand notation of the 3,5 phosphodiester link in DNA, the valency was incorrectly read. VSEPR theory and the Octet Rule were misunderstood or forgotten when trying to explain the valency of the phosphorus atom in synthetic oligonucleotide intermediates. Plasmid functional domains were generally well-understood although restriction mapping appeared to be a cognitively demanding task. Rote learning and substitution of definitions were evident in the explanation of promoter and operator functions. The concept of gene expression posed difficulties to many students who believed that genes contain the entity they encode. Transcription and translation of in tandem gene fusions were poorly explained by some students as was the effect of plasmid conformation on transformation and gene expression. With regard to the selection of transformants or the hybridoma, some students could not engage in reasoning or lateral thinking as protoconcepts and domain-specific information were poorly understood. A failure to integrate and reason with factual information on phenotypic traits, media components and biochemical pathways were evident in written and oral presentations. DNA-strand nomenclature and associated function were problematic to some students as they failed to differentiate coding strand from template strand and were prone to interchange the labelling of these. A substitution of labels with those characterizing DNA replication intermediates demonstrated erroneous information transfer. DNA replication models posed difficulties integrating molecular mechanisms and detail with line drawings, coupled with inaccurate illustrations of sequential replication features. Finally, a remediation model is presented, demonstrating a shift in assessment score dispersion from a range of 0 - 4.5 to 4 - 9 when learners are guided metacognitively to work with domain-specific or critical knowledge from an information bank. The present work shows that varied forms of symbolism can present students with complex learning difficulties as the underlying information depicted by these is understood in a superficial way. It is imperative that future studies be focused on the standardization of symbol use, perhaps governed by convention that determines the manner in which threshold information is disseminated on symbol use, coupled by innovative teaching strategies which facilitate an improved understanding of the use of symbolic representations in Molecular Biology. As Molecular Biology advances, it is likely that experts will continue to use new and diverse forms of symbolic representations to explain their findings. The explanation of futuristic Science is likely to develop a symbolic language that will impose great teaching challenges and unimaginable learning difficulties to new generation teachers and learners, respectively. / Thesis (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2007.

Scientific external representations (ERs), such as diagrams, images, pictures, graphs and animations are considered to be powerful teaching and learning tools, because they assist learners in constructing mental models of phenomena, which allows for the comprehension and integration of scientific concepts. Sometimes, however, students experience difficulties with the interpretation of ERs, which· has a negative effect on their learning of science, . . including biochemistry. Unfortunately, many educators are not aware of such student difficulties and make the wrong assumption that what they, as experts, consider to be an educationally sound ER will necessarily promote sound. learning and understanding among novices. On the contrary, research has shown that learners who engage in the molecular biosciences can experience considerable problems interpreting, visualising, reasoning and learning with ERs of biochemical structures and processes, which are both abstract and often represented by confusing computer-generated symbols and man-made markings. The aim of this study was three-fold. Firstly, to identify and classify students' conceptual and reasoning difficulties with a selection of textbook ERs representing· IgG structure and function. Secondly, to use these difficulties to identify sources of the difficulties and, therefore, factors influencing students' ability to interpret the ERs. Thirdly, to develop a model of these factors and investigate the practical applications of the model, including guidelines fOf improving ER design and the teaching and learning with ERs. The study was conducted at the University of KwaZulu-Natal, South Africa and involved a total of 166 second and third-year biochemistry students. The research aims were addressed using a p,ostpositivistic approach consisting of inductive and qualitative research methods. Data was collected from students by means of written probes, audio- and video-taped clinical interviews, and student-generated diagrams. Analysis of the data revealed three general categories of student difficulties, with the interpretation of three textbook ERs depicting antibody structure and interaction with antigen, termed the process-type (P), the. structural-type (S) and DNA-related (D) difficulties. Included in the three general categories of difficulty were seventeen sub-categories that were each classified on the four-level research framework of Grayson et al. (2001) according to v how much information we had about the nature ofeach difficulty and, therefore, whether they required further research. The incidences of the classified difficulties ranged from 3 to 70%, across the student populations and across all three ERs. Based on the evidence of the difficulties, potential sources of the classified difficulties were isolated. Consideration of the nature of the sources of the exposed difficulties indicated that at least three factors play a major role in students' ability to interpret ERs in biochemistry. The three factors are: students' ability to reason with an ER and with their own conceptual knowledge (R), students' understanding (or lack thereof) of the concepts of relevance to the ER (C), and the mode in which the desired phenomenon is represented by the ER (M). A novel three-phase single interview technique (3P-SIT) was designed to explicitly investigate the nature of the above three factors. Application of3P-SIT to a range of abstract to realistic ERs of antibody structure and interaction with antigen revealed that the. instrument was extremely useful for generating data corresponding to the three factors.. In addition; analysis of the 3P-SIT data showed evidence for the influence ofone factor on another during students' ER interpretation, leading to the identification of a further four interactive factors, namely the reasoning-mode (R-M), reasoning conceptual (R-C), conceptual-mode (C-M) and conceptual-reasoning-mode (C-R-M) factors. The Justi and Gilbert (2002) modelling process was employed to develop a model of the seven identified factors. Empirical data generated using 3P-SIT allowed the formulation and validation of operational definitions for the seven factors and the expression of the model as a Venn diagram, Consideration ofthe implications of the model, yielded at least seven practical applications of the model, including its use for: establishing whether sound or unsound interpretation, learning and visualisation of an ER has occurred; identifying the nature and source of any difficulties; determining which of the factors of the model are positively or negatively influencing interpretation; establishing what approaches to ER design and teaching and learning with ERs will optimise the interpretation and learning process; and, generally framing and guiding researchers', educators' and authors' thinking about the nature of students' difficulties with the interpretation of both static and animated ERs in any scientific context. In addition, the study demonstrated how each factor of the expressed model can be used to inform the design of strategies for remediating or preventing students' difficulties with the interpretation of scientific ERs, a target for future research. / Thesis (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2005.

The use of external representations (ERs) such as diagrams and animations in science education, particularly in the Molecular Life Sciences (MLS), has rapidly increased over the past decades. Research shows that ERs have a superior advantage over text alone for teaching and learning. Research has also indicated a number of concerns coupled with the use of ERs for education purposes. Such problems emanate from the mode of presentation and/or inability to use ERs. Regarding the later, a number of factors have been identified as major causes of student difficulties and they include visual literacy as one of the major factors. Given that little has been done to understand the nature of VL in the MLS the current study was conducted with the general aim of investigating this area and devising a way to measure the visual literacy levels of our students. More specifically, this study addressed the following research questions: i) What is the nature of visual literacy in MLS?; ii) Can specific levels of visual literacy be defined in the MLS?; and iii) Is a taxonomy a useful way of representing the levels of visual literacy for MLS? To respond to these questions, the current literature was used to define the nature of visual literacy and the visualization skills (VSs). These were then used to develop a Visual Literacy Test made up on probes in the context of Biochemistry. In these probes, the VSs were incorporated. The test was administered to 3rd year Biochemistry students who were also interviewed. Results were analysed qualitatively and quantitatively. The later analysis utilized the Rasch model to generate an item difficulty map. The results of the current study show that visual literacy is multifaceted in nature and is context based in that it requires specific propositional knowledge. In line with this, it was found that visual literacy is expressed through a cognitive process of visualization which requires VSs. Based on the performance of these skills, learners’ optimal visual literacy in the context of the MLS can be defined. Such performance can be assessed through the development of probes in the Biochemistry context. Furthermore, the current research has shown that using probes, the difficulty degree of each VS can be determined. In this instance, the Rasch model is a preferred method of ranking VSs in the context of Biochemistry in order of difficulty. From this, it was shown that given the uniqueness of each skill’s degree of difficulty, each skill can thus be regarded as a level of visual literacy. Such levels were defined in terms of the norm difficulty obtained in the current study. Given the multifaceted nature of visual literacy, the current study adopted the view that there are infinite number of VSs and hence the number of levels of visual literacy. From the variation in the degree of difficulty, the study showed that there are nonvisualization and visualization type difficulties which contribute to the differences in visual literacy levels between Biochemistry students. In addition to this, the current study showed that visual literacy in the MLS can be presented through a taxonomy. Such a taxonomy can be used to determine the level of each VS, its name and definition, typical difficulties found in the MLS as well as the visualization stage at which each skill is performed. Furthermore, this taxonomy can be used to design models, assess students’ visual literacy, identify and inform the remediation of students’ visualization difficulties. While the study has successfully defined the nature of visual literacy for the MLS and presented visual literacy in a taxonomy, more work is required to further understand visual literacy for the MLS, a field where visual literacy is very prevalent. / Thesis (M.Sc.) - University of KwaZulu-Natal, Pietermaritzburg, 2007.