Process model comprehension : the effects of cognitive abilities, learning style, and strategy

Process models are used to convey semantics about business operations that are to be supported by an information system. A wide variety of professionals is targeted to use such models, including people who have little modeling or domain expertise. We identify important user characteristics that influence the comprehension of process models. Through a free simulation experiment, we provide evidence that selected cognitive abilities, learning style, and learning strategy influence the development of process model comprehension. These insights draw attention to the importance of research that views process model comprehension as an emergent learning process rather than as an attribute of the models as objects. Based on our findings, we identify a set of organizational intervention strategies that can lead to more successful process modeling workshops.

Learning style and digital activity: An ecological study

In order to understand student engagement in higher education through the use of digital technologies, it is necessary to appreciate the broader use of differing technologies. Forty-eight first-year university students completed an online survey that queried patterns of digital activity across home, school and community contexts and that included rating scale items that measured learning style (i.e., active-reflective, sensing-intuitive, visual-verbal, sequential-global). Results suggest that students vary widely in digital activities and that such variation is related to differences in learning style. For example, active learners were more likely than reflective learners to engage in digital activities in the community and users of some specific application, as opposed to non-users, were more likely to be verbal than visual learners. Implications for instructional applications of digital technology in higher education are presented.

Evaluation of a suitable learning style for iLearn: a personalised e-learning platform

Brusilovsky and Millan (2007) state that learning styles are typically defined as the way people prefer to learn. Learning styles and how we learn is a vast research area and many research projects (SMILE, INSPIRE, iWeaver amongst others) attempt to incorporate these learning styles into e-Learning systems. This paper describes commonly used learning styles and how they are currently being used within the area of adaptive e-Learning. This work also builds upon current research and evaluates learning styles using criteria proposed by Sampson and Karagiannidis (2004) in order to select a suitable learning methodology for the iLearn e-Learning platform. The Sampson and Karagiannidis (2004) criteria is adapted for the purpose of the research and describes the measurability, time effectiveness and descriptiveness and prescriptiveness of the specific learning style. A suitable learning style for the iLearn e-Learning platform is then proposed within the paper and finally the research briefly introduces how the chosen learning style will be used for the proposed e-Learning platform.

Dyslexia and learning style : apractitioner's handbook.

Manual, que sirve de puente entre la teoría y la práctica, para compartir algunas técnicas de enseñanza que han tenido éxito con estudiantes disléxicos. Estructurada en dos secciones, la primera examina la investigación más reciente en dos áreas claves: la experiencia con disléxicos y los principales estilos cognitivos y de aprendizaje para maximizar el éxito de los estudiantes más vulnerables. La segunda sección proporciona: formas de diagnosticar la dislexia, estilo de aprendizaje; técnicas para ayudar a los estudiantes a procesar y crear respuestas a la información en el plan de estudios; estrategias prácticas para ayudar a los profesores a adaptar materiales para satisfacer los diferentes estilos de aprendizaje encontrados en cada aula y actividades para ayudar a los estudiantes a desarrollar un enfoque más flexible para el aprendizaje.

Differences in learning style preference among students of diverse ethnicities, gender, academic placement level, and academic achievement

This investigation studied the differences in learning styles among ethnically diverse secondary science students from a multicultural urban high school. It examined whether there were learning style differences among samples based on ethnicity, gender, academic grouping, and academic achievement. The learning style elements were based on scores of the Dunn, Dunn, and Price Learning Style Inventory (LSI) (1997). The sample (n = 476) consisted of students enrolled in Life Science courses. The analyses of data were made by one way analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA). ^ Significant differences were found among students for three of the four groups tested. The largest numbers of differences in learning style element preference were in academic grouping, with eight significant differences showing small or medium effect sizes. There were four significant differences between genders and one significant difference among ethnic groups. Effect size was small. The data analyses showed that individual differences have a much bigger effect than group differences on learning style, and that proportions in learning style element categories reveal more information than means of groups. ^ This study implied the need to increase awareness of differences in learning styles among students and help educators to understand them. Other predictors of learning styles might account for a large amount of the unexplained variation. Overall, this study reinforces the body of existing literature. ^

Bimodal adaptive hypermedia and interactive multimedia a web-based learning environment based on Kolb's theory of learning style

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Bimodal adaptive hypermedia and interactive multimedia a web-based learning environment based on Kolb's theory of learning style

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Two Thai teachers' perceptions of cooperative learning

Over the past decade, the need for educational reform in Thailand has become increasingly apparent. The strong tradition of teacher-directed instruction has been the major teaching and learning style in Thai education. Recent policy changes have focused on expanding education opportunities, the implementation of compulsory education and also on more student-centered pedagogies (Carter, 2006). A suggested way of bringing about the changes necessary to improve the standard of education in primary schools and retention rates is to incorporate cooperative learning into Thai primary school classrooms. The action research in this study proceeded in four stages. There were pre-implementation interviews of teachers, teacher preparation, implementation of program, and post-implementation evaluation. This study focused on the two Thai teachers' perceptions about the benefits of cooperative learning and the roles of the teachers in cooperative learning classroom. The study found that the two teachers had constructed different levels of perceptions about the benefits of cooperative learning and the roles of the teacher. These findings indicated that Thai teachers who are relatively inexperienced, lacking in confidence and with little or no experience with group work strategies such as peer tutoring need alternative, less intense professional development programs conducted over a period of a semester than the professional development program implemented in this study. In addition to being conducted over a longer period of time, the findings also indicate that alternative teacher professional programs need to provide additional workshops to improve their understanding of cooperative learning and the teachers' roles.