Differences Between Visual Style and Verbal Style Learners in Learning English

English proverb is an interested part when learner applied it in real life situation. The participants of this study were chosen from a big university in the middle area of Taiwan. The researchers selected some learners from Department of Foreign Language (DFL) and Department of Non-Foreign Language (DNFL). 40 students were from DFL, and 40 students were from DNFL. According to learner's short-term memory (STM) abilities, the researchers separated participants into four quadrants (Q1-Q4). According to visual style and verbal style of learning style, learning content representation (LCR) types are clarified into Type A, B, C. The research question is that participants with different STM abilities, how different LCR types affect the learning performance of English proverbs? The authors' results described that LCR with pictorial annotation (Type A) help participants with lower verbal ability and higher visual ability (Q2) to have better performance than other three quadrants, because type A participants feel easier to learn content presented in a visual form than in a verbal form. Providing LCR with both written and pictorial annotation (Type C) helps learners best with higher verbal ability and higher visual ability (Q1) in the recognition test. Providing redundancy learning content lead a higher cognitive load and result to irritation and lack of concentration, in accordance with the Cognitive Load theory. It implied that providing simple learning materials (only written annotation, Type B) is useful to participants with lower verbal ability and lower visual ability (Q3). The research results show that instructors should provide suitable learning materials to their learners in accordance with their STM abilities.

Effects of Annotations on Inferring Meaning within a Listening Comprehension Environment

In this chapter, the author analyzes students' abilities to understand aural texts while accessing annotated information in a multimedia-based environment. In particular, the study examines inferencing in the aural environment and students' abilities to infer meaning from an aural text when processing it in one of four treatments: the aural passage 1) with no annotations; 2) with pictorial annotations only; 3) with written annotations only or; 4) with written and pictorial annotations. Overall, students who accessed pictorial and/or written annotations most often inferred meaning significantly better compared to those who did not access such annotations. And too, while the relationship of recall and inferencing was highly correlated based on annotation type, the relationship between vocabulary knowledge and inferencing based on annotation type was not strong.

Differences between Visual Style and Verbal Style Learners in Learning English

English proverb is an interested part when learner applied it in real life situation. The participants of this study were chosen from a big university in the middle area of Taiwan. The researchers selected some learners from Department of Foreign Language (DFL) and Department of Non-Foreign Language (DNFL). 40 students were from DFL, and 40 students were from DNFL. According to learner's short-term memory (STM) abilities, the researchers separated participants into four quadrants (Q1-Q4). According to visual style and verbal style of learning style, learning content representation (LCR) types are clarified into Type A, B, C. The research question is that participants with different STM abilities, how different LCR types affect the learning performance of English proverbs? The authors' results described that LCR with pictorial annotation (Type A) help participants with lower verbal ability and higher visual ability (Q2) to have better performance than other three quadrants, because type A participants feel easier to learn content presented in a visual form than in a verbal form. Providing LCR with both written and pictorial annotation (Type C) helps learners best with higher verbal ability and higher visual ability (Q1) in the recognition test. Providing redundancy learning content lead a higher cognitive load and result to irritation and lack of concentration, in accordance with the Cognitive Load theory. It implied that providing simple learning materials (only written annotation, Type B) is useful to participants with lower verbal ability and lower visual ability (Q3). The research results show that instructors should provide suitable learning materials to their learners in accordance with their STM abilities.

Genome and proteome annotation: organization, interpretation and integration

Recent years have seen a huge increase in the generation of genomic and proteomic data. This has been due to improvements in current biological methodologies, the development of new experimental techniques and the use of computers as support tools. All these raw data are useless if they cannot be properly analysed, annotated, stored and displayed. Consequently, a vast number of resources have been created to present the data to the wider community. Annotation tools and databases provide the means to disseminate these data and to comprehend their biological importance. This review examines the various aspects of annotation: type, methodology and availability. Moreover, it puts a special interest on novel annotation fields, such as that of phenotypes, and highlights the recent efforts focused on the integrating annotations.