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Computer programming has been taught in secondary schools for more than two decades. However, little is known about how students learn to program. From the curriculum implementation perspectives, learning style helps address the issue of learner differences, resulting in a shift from a teachercentred approach to a learner-focused approach. This study aims to investigate the effects of gender and learning styles on computer programming performance. The Gregorc Style Delineator (GSD) was employed to measure learning styles. A test was administered to assess students’ programming performance. Two hundred and seventeen secondary school students of age from 14 to 19 participated in this study. Results indicated that no gender differences in programming performance were found after controlling for the effect of student ability. Academic ability had a differential effect on programming knowledge. Sequential learners in general performed better than random learners. These results suggest the importance of the ordering dimension of the GSD in influencing programming performance. Implications of the findings in relation to programming pedagogy are discussed in this paper.
Chinese classrooms, whether on school grounds or online, have long suffered from a lack of interactivity. Many online classes simply provide recorded instructor lectures, which only reinforces the negative effects of passive nonparticipatory learning. At Shanghai Jiaotong University, researchers and developers actively seek technologic interventions that can greatly increase interactivity in large blended classes. They developed a cutting-edge mobile learning system that can deliver live broadcasts of real-time classroom teaching to students with mobile devices. Their system allows students to customise means of content-reception based on when and where they tune into the broadcast. The system also supports short text messaging and instant polls. Through these venues, students can ask questions and make suggestions in real time, and the instructor can address them immediately. This article describes this system in detail, and also reports results from a formal implementation of the system in a blended English classroom of 1000 students (with about 800 being online). As the data reveal, m-learning activities can much better engage students in the learning process. Students in this class changed from passive learners to truly engaged learners who are behaviourally, intellectually and emotionally involved in their learning tasks.
This paper reports on the development of a scale for determining the quality of the student e-learning experience at the degree level when the student learning context is predominately a campus-based experience. Rapid developments in the use of information and communication technologies (ICT) in higher education require methods for evaluating the contribution of such tools to student learning, especially when they are complementing a face-to-face experience. We examine the psychometric functioning of a proposed e-learning scale in relation to a well-validated degree-level teaching evaluation instrument, the Student Course Experience Questionnaire. The e-learning scale has suitable reliability and validity in the present sample of undergraduate students for quality assurance activities around ICT.
Research in multimedia learning lacks an emphasis on individual difference variables, such as working memory capacity (WMC). The effects of WMC and the segmentation of multimedia instruction were examined by assessing the recall and application of low (n = 66) and high (n = 67) working memory capacity students randomly assigned to either a segmented instruction (SI) or non-segmented instruction (NSI) version of amultimedia tutorial on historical inquiry. WMC was found to have a significant, positive effect on participants’ recall and application scores; however, the use of segmentation mediated the effects of WMC to allow learners with lowerWMC to recall and apply equal to those with higher WMC.
Taking notes is of uttermost importance in academic and commercial use and success. Different techniques for note-taking utilise different cognitive processes and strategies. This experimental study examined ways to enhance cognitive performance via different note-taking techniques. By comparing performances of traditional, linear style note-taking with alternative nonlinear technique, we aimed to examine the efficiency and importance of different ways of taking notes. Twenty-six volunteer adult learners from an information management course participated in this study. Cognitive performance scores from a traditional linear note-taking group were compared with another group by using a commercially available non-linear note-taking technique. Both groups were tested in two settings: after a classroom lecture and a panel forum discussion. Tasks included measures on story comprehension, memory, complexity of mental representations and metacognitive skills. Data analysis revealed that the non-linear note-takers were significantly better than the linear group both in terms of the quantity and the quality of the learned material. This study demonstrates the importance of using cognitively compatible note-taking techniques. It identifies the cognitive mechanisms behind effective note-taking and knowledge representation. Using such techniques enables deeper understanding and more integrated knowledge management.
The purpose of this study was to examine the effect of concept-mapping strategies with three different generativity levels (expert-generated concept map, partially learner-generated concept map, fully learner-generated concept map) on knowledge acquisition. Interaction between learners’ self-regulated learning (SRL) skills and different levels of generativitywas also tested. One hundred twenty-four undergraduate students, randomly assigned to three different concept-mapping groups, were differentiated by high and low levels of SRL skills. The findings suggest that the participants in the fully learner-generated map group significantly outperformed the participants in the expert-generated map group, and participants with high SRL skills significantly outperformed those with low SRL skills across all treatment levels.
This paper explores the concepts of motivation, including extrinsic motivation and intrinsic motivation. It describes how motivation becomes a major concern in the field of instructional design (ID). Furthermore, a motivation model—the ARCS model—is identified and discussed. Finally, it provides an example of how to apply the motivational design process in ID. The aim of this paper is to facilitate a deeper understanding of motivation and to inform professionals about its importance in learning
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