Cognitive Learning Strategies of Non-english Department Students on Noun Structure

Learning English for non-English department students is not as easy as it seems. Besides, as much as it is necessary to know how successful learners learn, not less important is to know how less successful learners learn. Using think aloud method, this study aims at finding out the cognitive strategies used by the engineering department students in answering incorrectly problems on TOEFL noun structure-the grammar point in which students made the most errors. Findings uncover the students' strategies and reasoning upon which pedagogical implications can be put forth so that more effective and fruitful instruction can be tailored

Individual differences in adult second language learning: a cognitive perspective

What makes some people more successful language learners than others? Scholars and practitioners of adult second language learning traditionally have cast the issue of individual differences in terms of such constructs as aptitude, motivation, learning strategies, learning styles, meta-linguistic awareness, and personality traits (e.g., extraversion), as well as a range of other social and affective variables (Ehrman, Leaver & Oxford, 2003). These are complex constructs that often lack a clear description of the underlying mechanisms. In this short overview we will take a cognitive perspective and link individual differences in adult L2 learning to individual differences in cognitive abilities. Examining cognitive factors that are predictive of L2-learning success can help to illuminate the mechanisms that underlie the learning process. At the same time, recognising and understanding the links between cognitive abilities and language learning may help teachers and learners to adjust their teaching methods and the learning environment in ways that are beneficial to individual learners. Although we are still far from being able to make specific evidence-based recommendations, reviewing what is known about cognitive predictors of successful language learning may be a useful start

Towards Inclusive Teacher Education: Sensitising individuals to how they learn

Higher Education has struggled to acknowledge and translate into better teaching and learning practices that sizeable literature base suggesting a link between cognitive style, learning preferences and performance. Eighty undergraduate students on a primary education degree were studied to examine the relationship between their cognitive style, learning preferences and perceived impact on their teaching practices. Significant differences were found between each of the three cognitive styles investigated: wholist, intermediate and analytic (Riding, 2000). Many of the differences reported in the literature between the different cognitive styles were not evident in this study. However, the interpersonal and intrapersonal characteristics of wholists and analytics respectively, were evident and perceived to impact on planning and delivery in the classroom. While further school-based research involving greater numbers is required, the interest in learning styles remains especially poignant if one intends to truly offer an inclusive education for all learners

Personalizing the design of computer‐based instruction to enhance learning

This paper reports two studies designed to investigate the effect on learning outcomes of matching individuals’ preferred cognitive styles to computer‐based instructional (CBI) material. Study 1 considered the styles individually as Verbalizer, Imager, Wholist and Analytic. Study 2 considered the bi‐dimensional nature of cognitive styles in order to assess the full ramification of cognitive styles on learning: Analytic/Imager, Analytic/ Verbalizer, Wholist/Imager and the Wholist/Verbalizer. The mix of images and text, the nature of the text material, use of advance organizers and proximity of information to facilitate meaningful connections between various pieces of information were some of the considerations in the design of the CBI material. In a quasi‐experimental format, students’ cognitive styles were analysed by Cognitive Style Analysis (CSA) software. On the basis of the CSA result, the system defaulted students to either matched or mismatched CBI material by alternating between the two formats. The instructional material had a learning and a test phase. Learning outcome was tested on recall, labelling, explanation and problem‐solving tasks. Comparison of the matched and mismatched instruction did not indicate significant difference between the groups, but the consistently better performance by the matched group suggests potential for further investigations where the limitations cited in this paper are eliminated. The result did indicate a significant difference between the four cognitive styles with the Wholist/Verbalizer group performing better then all other cognitive styles. Analysing the difference between cognitive styles on individual test tasks indicated significant difference on recall, labelling and explanation, suggesting that certain test tasks may suit certain cognitive styles

The role of cognitive abilities in laparoscopic simulator training

Learning minimally invasive surgery (MIS) differs substantially from learning open surgery and trainees differ in their ability to learn MIS. Previous studies mainly focused on the role of visuo-spatial ability (VSA) on the learning curve for MIS. In the current study, the relationship between spatial memory, perceptual speed, and general reasoning ability, in addition to VSA, and performance on a MIS simulator is examined. Fifty-three laparoscopic novices were tested for cognitive aptitude. Laparoscopic performance was assessed with the LapSim simulator (Surgical Science Ltd., Gothenburg, Sweden). Participants trained multiple sessions on the simulator until proficiency was reached. Participants showed significant improvement on the time to complete the task and efficiency of movement. Performance was related to different cognitive abilities, depending on the performance measure and type of cognitive ability. No relationship between cognitive aptitude and duration of training or steepness of the learning curve was found. Cognitive aptitude mediates certain aspects of performance during training on a laparoscopic simulator. Based on the current study, we conclude that cognitive aptitude tests cannot be used for resident selection but are potentially useful for developing individualized training programs. More research will be performed to examine how cognitive aptitude testing can be used to design training programs

A Cognitive Science Based Machine Learning Architecture

In an attempt to illustrate the application of cognitive science principles to hard AI problems in machine learning we propose the LIDA technology, a cognitive science based architecture capable of more human-like learning. A LIDA based software agent or cognitive robot will be capable of three fundamental, continuously active, humanlike learning mechanisms:\ud 1) perceptual learning, the learning of new objects, categories, relations, etc.,\ud 2) episodic learning of events, the what, where, and when,\ud 3) procedural learning, the learning of new actions and action sequences with which to accomplish new tasks. The paper argues for the use of modular components, each specializing in implementing individual facets of human and animal cognition, as a viable approach towards achieving general intelligence

Use of Eye-Tracking Technology to Investigate Cognitive Load Theory

Cognitive load theory (CLT) provides us guiding principles in the design of learning materials. CLT differentiates three different kinds of cognitive load -- intrinsic, extraneous and germane load. Intrinsic load is related to the learning goal, extraneous load costs cognitive resources but does not contribute to learning. Germane load can foster learning. Objective methods, such as eye movement measures and EEG have been used measure the total cognitive load. Very few research studies, if any, have been completed to measure the three kinds of load separately with physiological methods in a continuous manner. In this current study, we will show how several eye-tracking based parameters are related to the three kinds of load by having explicit manipulation of the three loads independently. Participants having low prior knowledge regarding the learning material participated in the study. Working memory capacity was also measured by an operation memory span task

Cognitive load theory, educational research, and instructional design: some food for thought

Cognitive load is a theoretical notion with an increasingly central role in the educational research literature. The basic idea of cognitive load theory is that cognitive capacity in working memory is limited, so that if a learning task requires too much capacity, learning will be hampered. The recommended remedy is to design instructional systems that optimize the use of working memory capacity and avoid cognitive overload. Cognitive load theory has advanced educational research considerably and has been used to explain a large set of experimental findings. This article sets out to explore the open questions and the boundaries of cognitive load theory by identifying a number of problematic conceptual, methodological and application-related issues. It concludes by presenting a research agenda for future studies of cognitive load