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Identifying learning styles and cognitive traits in a learning management system.

ABSTRACT: Investigating learner behavior is an increasingly important research topic in online learning. Learning styles and cognitive traits have been the subjects of research in this area. Although learning institutions use Learning Management Systems such as Moodle, Claroline, and Blackboard to facilitate teaching, the platforms do not have features for analyzing data and identifying behavior such as learning styles and cognitive traits. Instead, they only produce certain statistical reports from the daily access records. Even though complex models have been proposed in the literature, most studies are based on a single behavior such as learning styles or cognitive traits but not both. Only a few have investigated a combination of cognition-based theories such as working memory capacity and psychology-based ones such as learning styles. Thus, this study sought to answer the research question of whether it was possible to establish a methodology for the estimation of learning styles and cognitive traits from a learning management system. The study combined the Felder-Silverman Learning Style Model and Cognitive Trait Model as theoretical frameworks to identify behavior in a Learning Management System. This study designed a model for extracting records from Learning Management Systems access records to estimate learning style and cognitive traits. From this, a prototype was developed to estimate the learning style and cognitive traits for each student. The model was evaluated by administering manual tools to students in a classroom environment then comparing the results gathered against those estimated by the model. The results analyzed using Kappa statistics demonstrated the interrater reliability results were moderately in agreement. Taken together, these results suggest that it is possible to estimate the learning styles and cognitive traits of a learner in a Learning Management System. The information generated by the model can be used by tutors to provide a conducive online learning environment where learners with similar behavior ask each other for help. This can reduce the teaching load for online tutors because learners themselves act as a teaching resource. Information on learning styles and cognitive styles can also facilitate online group formation by isolating the individual factors that contribute to team success.

SUBMITTER: Lwande C

PROVIDER: S-EPMC8358419 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundUnderstanding students' learning styles, and modifying teaching styles and material accordingly, is an essential to delivering quality education. Knowing more about the learning styles of physiotherapy learners will assist educators' planning and delivering of learning activities. The purpose of this scoping review was to explore what is published about physiotherapy learning styles.MethodsAn adapted Arksey and O'Malley framework was applied to undertake this systematic scoping review. Nine electronic databases (CINAHL, BIOMED CENTRAL, Cochrane, Web of Science, PROQUEST, PubMed, OTseeker, Scopus, ERIC) were searched using the keywords: 'learning styles' and 'physiotherapy'. English-language, primary research articles that investigated physiotherapy learners' learning styles were sought.ResultsOf 396 potentially-relevant articles, 15 were included in this review. The studies mostly reflected undergraduate students (910 undergraduates, 361 postgraduates, 23 professionals), in developed countries. Nine articles used the Kolb's experiential learning theory (ELT); one study applied Honey and Mumford's approach; two studies used the Gregorc model of cognition and three studies did not specify an underlying theory. Outcome measures included different versions of Kolb's Learning Style Inventory, the visual-aural-read/write-kinesthetic questionnaire, Gregorc style delineator, Felder Silverman's Index of Learning Survey, and Honey and Mumford's Learning Style Questionnaire. The preferred physiotherapy learning styles, according to the ELT, seem to be Converger (learns "hands-on" and applying previously attained knowledge) and Assimilator (gathers and organises information to make the most sense).ConclusionsBoth physiotherapy learners and physiotherapists have specific learning styles of active participation, underpinned with practical examples of theoretical concepts. More research is needed in developing countries, and on postgraduate and professional physiotherapy learners' learning styles. Also, further research should focus on defining and describing physiotherapy learning styles in a way to be used as an industry standard; and developing valid and reliable learning style outcome measures applicable across physiotherapy learners and settings.

Project description:BackgroundThe concept of learning style is quite important for teachers to teach, organize students' learning experiences, and accomplish educational goals. Motivation is one of the most important psychological concepts in education. Motivation is multidimensional and ranges from amotivation to extrinsic motivation and intrinsic motivation. When students are motivated extrinsically, they enjoy striving toward rewards and goals which may differ from individual goals. Intrinsically motivated students enjoy exploring, learning, and curiosity-oriented academic efforts. Understanding learning styles can make it easier to create, modify, and develop more efficient curriculum and educational programs. It can also encourage students' participation in these programs and motivate them to gain professional knowledge This study aims to determine the learning styles of medical school students and to evaluate whether there is a relationship between their learning styles and academic motivation and the sociodemographic variables.MethodsIn this study a questionnaire containing socio-demographic factors, Grasha-Reichmann Learning Styles Scale, Academic Motivation Scale was filled out by 1st, 2nd, 3rd, 4th, and 5th -year medical students of the 2019-2020 academic year. Frequency, percentage, mean, ANOVA, Pearson correlation analysis, and independent group t-test (for analyzing data with normal distribution) were applied. Mann Whitney U test, Kruskal Wallis test, and Spearman correlation analysis were used for analyzing data without normal distribution.ResultsWe found that the mean of independent learning was the highest among the learning style dimensions, and the mean of the intrinsic motivation to know (IMKN) was the highest among the academic motivation dimensions. We found that there were significant relationships between independent learning and intrinsic motivation (IM), between avoidant learning and extrinsic motivation (EM) and between collaborative learning and IMKN, IM to accomplish things (IMAT) and IM to experience stimulation (IMES).ConclusionWe think that different teaching methods can be applied to strengthen collaborative learning, participant learning, and intrinsic motivation. We hope that this research will contribute to medical education on the subject of establishing appropriate teaching methods. Teachers have to plan and implement activities based on students' learning styles and academic motivation to encourage students to effectively participate in the classroom.

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Identifying learning styles and cognitive traits in a learning management system.

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