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Students often “multitask” with electronic media while doing schoolwork. We examined the effects of one form of media often used in such multitasking, instant messaging (IM). We predicted that students who engaged in IMing while reading a typical academic psychology passage online would take longer to read the passage and would perform more poorly on a test of comprehension of the passage. Participants were randomly assigned to one of three conditions (IM before reading, IM during reading, or no IM). We found that students took significantly longer to read the passage when they IMed during reading (not including time taken to IM) than in other conditions. However, test performance did not differ by condition. Students who are managing busy lives may think they are accomplishing more by multitasking, but our findings suggest they will actually need more time to achieve the same level of performance on an academic task.
Learner-controlled instruction is often found to be less effective for learning than fixed or adaptive system-controlled instruction. One possible reason for that finding is that students – especially novices – might not able to accurately assess their own performance and select tasks that fit their learning needs. Therefore, this explorative study investigated the differences in self-assessment and task-selection processes between effective and ineffective learners (i.e., in terms of learning gains) studying in a learner-controlled instructional environment. Results indicated that although effective learners could more accurately assess their own performance than ineffective learners, they used the same task aspects to select learning tasks. For effective learners, who were also more accurate self-assessors, the self-assessment criteria predicted subsequent task selection. The results are discussed, particularly with regard to their potential to provide guidelines for the design of a self-assessment and task-selection training.
The purpose of the study was to explore possible links between student socioeconomic status (SES), beliefs about information and communication technologies (ICTs), and out-of-school learning resources. Grades 5 and 6 students (N = 345) who were enrolled in one private and six public elementary schools in Greece, located in areas with different demographic characteristics, responded to a questionnaire addressing their ICT self-efficacy and value beliefs, out-of-school ICT access and activities, perceived parental support and regulation of home ICT activities, and access to sources of technological support beyond the family. Findings showed that students from all SES family backgrounds tended to have positive views about the value of ICTs, but students from low-SES families expressed lower confidence in their ICT skills. Parents from all SES backgrounds appeared to view equally favorably their children’s engagement with ICTs, and perceived parental support correlated highly with students’ ICT value beliefs. However, students from low-SES families appeared to have fewer opportunities to develop ICT competencies, which may explain why they expressed less positive self-efficacy beliefs. Findings stress the need for school ICT integration efforts to take into account student differences in prior experiences and to be coordinated with students’ home computer use.
This study investigated the online practices of students enrolled in graduate-level distance education courses. Using interviews and a questionnaire as data sources, the study sought to: (a) identify common practices that students adopt in asynchronous discussions, and (b) gain an understanding of why students adopt them. An analysis of the data suggests that many of the practices are coping mechanisms developed to help students more easily meet course participation requirements. Some of these are time saving strategies designed to reduce information overload (e.g., skimming messages rather than reading them carefully). Other strategies are designed to help students project an image of themselves as knowledgeable and collaborative course participants. It is argued that although these practices provide students with a level of efficiency in terms of meeting course requirements, they may inadvertently undermine learning.
The need for the integration of generic skills training into structured PhD programmes is widely accepted. However, effective integration of such training requires flexible delivery mechanisms which facilitate self-paced and independent learning. A video recording was made of an eminent speaker delivering a 1-h live presentation to a group of 15 first-year science and engineering PhD research students. The topic of the presentation was inter-disciplinary professional communication skills. Following the presentation, the video recording was post-processed into seven alternative podcast formats. These podcast formats included a typed transcription, a full audio recording, a full video recording, presentation slides with embedded speech etc. The choice of podcast formats was based on ease-of-production by a typical computer-literate academic and ease-of-use by a typical computer-literate student. At a subsequent session, the seven podcast formats were shown to the 15 students and a survey to assess their reactions to the various formats was carried out. The survey results (quantitative and qualitative) were analysed to provide useful insight into the student preferences in relation to podcast formats. The students expressed a clear preference for summary key-point slides with explanatory voice-over by the original speaker.
Many students find it difficult to engage with mathematical concepts. As a relatively new class of learning tools, visualization tools may be able to promote higher levels of engagement with mathematical concepts. Often, development of new tools may outpace empirical evaluations of the effectiveness of these tools, especially in educational contexts. This seems to be the case with educational visualization tools. Much evidence about the effectiveness of these tools appears to be more suggestive than based on empirical evaluations. In this paper, we attempt to fill this gap and provide empirical evidence for the use of visualization tools in supporting exploratory and other learning-related activities. In particular, we aim to investigate whether visualization tools can be used to engage pre-university students in exploring non-trivial mathematical concepts. We focus particularly on this age group and content domain because of the difficulty these students may encounter when trying to investigate more challenging mathematical concepts. Also, it is during their formative years before university that students’ predisposition and likeness towards mathematical ideas are formed. We report in this paper a study assessing whether a visualization tool, whose design was informed explicitly by research from information visualization and human–computer interaction, could engage pre-university students in their exploration and learning of more advanced mathematical concepts. Students who participated in this study came from multiple grade levels and have diverse cognitive and language skills as well as preferences towards mathematics. The results of this study indicate that visualization tools can effectively engage these students and support their exploration of non-trivial mathematical concepts, only if the tool is designed such that it can cater the diverse needs of these students. Article Outline
One of the main concerns when providing learning style adaptation in Adaptive Educational Hypermedia Systems is the number of questions the students have to answer. Most of the times, adaptive material available will discriminate among a few categories for each learning style dimension. Consequently, it is only needed to take into account the general tendency of the student and not the specific score obtained in each dimension. In this context, we present AH-questionnaire, a new approach to minimize the number of questions needed to classify student Learning Styles. Based on the Felder-Silverman’s Learning Style Model, it aims at classifying students into categories in spite of providing precise scores. The results obtained in a case study with 330 students are very promising. It was possible to predict students’ learning style preference with high accuracy and only a few questions.
This paper presents an initial test of the group task demands-resources (GTD-R) model of group task performance among IT students. We theorize that demands and resources in group work influence formation of perceived group work pressure (GWP) and that heightened levels of GWP inhibit group task performance. A prior study identified 11 factors relating to the task, group, individual, or environment as source factors to GWP. We extended this research by creating and validating scales for each source factor within an integrated GWP instrument. We then applied the instrument in an initial test of the GTD-R model. Results show the GTD-R model provides good predictions of GWP and group task performance. In addition we find GWP, task complexity, and time pressure factors to be higher in IT tasks vs. non-IT tasks described by our student participants. The findings extend demands-resources research from its prior focus on job burnout and exhaustion in individual tasks to incorporate less-intense pressure levels and group task contexts.
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