Research into the usefulness of scientific diagrams as teaching and learning tools has revealed their great effectiveness in reinforcing and replacing text; summarizing, clarifying, grouping and comparing information; illustrating abstract concepts and spatial relations between concepts; and aiding understanding and integration of knowledge. However, these advantages are not always realised as diagram effectiveness depends on the student's cognitive ability, visual literacy and prior knowledge. In biochemistry, flow diagrams are used as tools for the visualisation of biochemical processes, the abstract nature of which presents problems to students, probably because the depicted content is beyond their perceptual experience. In this study, we define visualisation as the entire process from the perception of an external representation (e.g. diagram), its internal processing, and the expression of a mental model of the represented content. Therefore, visualisation incorporates reasoning processes and interactions with a student's conceptual knowledge, in their construction of a mental model. Students' visualisation difficulties, in terms of conceptual and reasoning difficulties, have been well researched in areas such as physics and chemistry, but neglected in biochemistry, especially with respect to the use of diagrams as visualisation tools. Thus the aim of this study was to investigate students' use of diagrams for the visualisation of biochemical processes, and to identify the nature, and potential sources of students' conceptual, reasoning and diagram-related difficulties revealed during the visualisation process. The study groups ranged from 27 to 95 biochemistry students from the University of Natal and 2 to 13 local and international experts. Propositional knowledge was obtained from textbooks and from a questionnaire to experts. Data on student visualisation of biochemical processes was obtained from their responses to written and interview probes as well as student-generated diagrams. All data was subjected to inductive analysis according to McMillan and Schumacher (1993) and any difficulties that emerged were classified at levels 1- 3 on the framework of Grayson et al. (2001). The possible sources of difficulties were considered in terms of a model by Schonborn et al. (2003 & 2002). The results revealed the following major findings. The meaning of linear, cyclic and cascade biochemical processes was partially resolved by means of an extensive list of generic and distinguishing functional features obtained from experts. Attempts to clarify propositional knowledge of the complement system revealed a deficiency in our understanding of the functional relationship between the complement pathways and highlighted the need for further experimental laboratory work. Several students literally interpreted diagrams of the functional characteristics of biochemical processes (e.g. cyclic) as the spatial arrangement of the intermediates within cells (e.g. occur in "circles"), although in some cases, their verbal responses revealed that they did not hold this difficulty suggesting that they might hold more than one internal model of the process. Some students also showed difficulty using textbook diagrams to visualise the chemistry of glycolytic and complement reactions. In this regard, besides students' conceptual knowledge and reasoning ability, a major source of these difficulties included misleading symbolism and visiospatial characteristics in the diagrams, suggesting the need for improvement of diagram design through the use of clearer symbolism, the standardization of conventions, and improvement of visiospatial properties of diagrams. The results constituted further empirical evidence for the model of Schonbom et al. (2003 & 2002) and led to the proposal of a model of visualisation aimed at clarifying the highly complex and cognitive processes involved in individuals' visualisation of biochemical processes in living systems. / Thesis (M.Sc.)-University of Natal, Pietermaritzburg, 2003.

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.

A carefully constructed set of 16 graphical tasks related to key biochemistry concepts was designed and administered to a group of 82 students in their final year of B.Sc. study. The test mean score of 48,3% ( 12,1) was low and characterised by gender and ethnic differences. There was a moderate linear relationship between biochemistry grades obtained by the students over two years of study and their graphical literacy (r = 0,433). The majority of the students exhibited slope/height confusion and only seven students (8,5%) were able to answer the two items corresponding to Kimura‘s Level F, the most complex and difficult level of graphical literacy. Eye tracking data gave valuable insights into different strategies used by students while interpreting graphs and is a valuable tool for assessing graphical literacy. These findings confirmed other studies where researchers have found a widespread lack of graph comprehension among biological science students. / Institute of Science and Technology Education / M. Sc. (Science Education)

A carefully constructed set of 16 graphical tasks related to key biochemistry concepts was designed and administered to a group of 82 students in their final year of B.Sc. study. The test mean score of 48,3% ( 12,1) was low and characterised by gender and ethnic differences. There was a moderate linear relationship between biochemistry grades obtained by the students over two years of study and their graphical literacy (r = 0,433). The majority of the students exhibited slope/height confusion and only seven students (8,5%) were able to answer the two items corresponding to Kimura‘s Level F, the most complex and difficult level of graphical literacy. Eye tracking data gave valuable insights into different strategies used by students while interpreting graphs and is a valuable tool for assessing graphical literacy. These findings confirmed other studies where researchers have found a widespread lack of graph comprehension among biological science students. / Institute of Science and Technology Education / M. Sc. (Science Education)