Virtual CEOs: A blended approach to digital gaming for enhancing higher order thinking and academic achievement among vocational high school students

The requirements of a contemporary workplace include the ability to think critically and creatively in order to solve problems and respond to changes in economic and social conditions. Unfortunately, vocational education often fails to prepare graduates for this environment due to limited resources, low student motivation, or the reliance upon outdated instructional strategies. The use of digital game-based learning (DGBL) for vocational education has been proposed, but has yet to be effectively implemented, particularly in terms of the promotion of higher order thinking skills (HOTS). Data from 68 eleventh grade vocational high school students were evaluated after a quasi-experimental, 27 week intervention. Pretest and posttest results were evaluated by MANCOVA and demonstrated that the experimental group (blended DGBL incorporating integrative HOTS activities) outperformed the comparison group (technology enhanced learning) in terms of creative thinking, critical thinking, problem solving, and academic achievement, with significant improvements on all four measures. While technology-enhanced learning was effective in promoting academic achievement and creative thinking, the DGBL condition was deemed most effective in providing an authentic context for developing employment-related skills and knowledge. Based on these results, a blended approach for DGBL, which incorporates instructor orchestration and scaffolding, provision of learning aids, and the use of collaborative learning, is recommended, particularly for vocational learners. This paper provides examples of a concrete model of DGBL instruction that was verified empirically as successful in significantly improving all three higher order thinking skills, including creative thinking, critical thinking, and problem solving.     

A ‘blended’ in-service arrangement for classroom technology integration: impacts on teachers and students

Many studies report that the implementation of technology in education is a complex innovation. Particularly teachers lack skills to integrate technology in their instructional processes. Therefore the potential of technology in the classroom is hardly realized. Teacher learning on classroom use of technology is considered important. In this contribution a ‘blended’ in-service arrangement to support secondary school teachers in the integration of technology in their classroom is presented. The arrangement consisted of workshops, exemplary curriculum materials and computer mediated communication. The article describes and discusses two studies that applied and evaluated the ‘blended’ approach to teacher professional development. The results of both studies show that this seems a promising arrangement for supporting the integration of technology in education. However, realizing the potential of technology to create ‘communities of practice’ remains difficult because for most teachers this use of technology is yet not congruent with their daily routines.     

Understanding web activity patterns among teachers,students and teacher candidates

This study sought to understand generational and role differences in web usage of teachers, teacher candidates and K–12 students in a state in the USA (n = 2261). The researchers employed unique methods, which included using a custom‐built persistent web browser to track user behaviours free of self‐report, self‐selection and perception bias. Results revealed that all three groups utilized a variety of resources daily, but with some noticeable differences. For instance, (1) teachers and teacher candidates used the Internet on school devices much more than students; (2) they accessed general, multimedia, search, entertainment, shopping and social resources at a higher rate than students; (3) students visited a higher proportion of educational websites than their teachers; and (4) teachers visited a higher proportion of search pages than teacher candidates. Results may be useful for researchers (1) to better understand generational differences between groups; (2) to expand educational technology research to better include non‐pedagogical support tools for educators; and (3) to serve as a counterpoint for self‐report data on web resource frequency of use, which may provide different results.     

论校园安全网络下构建高校和谐师生关系

随着和谐社会理论的提出,构建高校和谐师生关系成为了我国建设和谐社会主义社会的重要基础。高校作为培养高素质、高技能人才的重要场所,也是促进学生个性化、全面性发展的关键所在。因此,在高等院校构建和谐的师生关系,建立安全的网络环境,不仅能够增加师生间的互动,同时能够建立和健全师生之间的对话机制,有利于高校教育工作的发展。本文就高校网络安全下和谐师生关系构建意义进行简要分析,并提出构建和谐师生关系的路径。     

A creative thinking approach to enhancing the web-based problem solving performance of university students

Along with the advancement of information and communication technology, researchers have pointed out the necessity and challenges of developing effective instructional strategies to enhance students' web-based problem-solving performance, which refers to the ability of investigating a series of related problems via searching for, abstracting and summarizing information on the web. In this study, a creative thinking strategy is proposed to cope with this problem. Moreover, an experiment was conducted on 80 freshmen from two classes of a university to evaluate the effectiveness of the proposed approach. The experimental results show that the proposed approach improved the students' web-based problem solving performance in comparison with the conventional approach in terms of “problem finding” and “idea finding.” Moreover, it was found that the proposed approach could improve the “fact finding” performance of the students with intuitive-type cognitive style. Accordingly, some implications and suggestions are given for educators who attempt to conduct web-based problem-solving activity.     

A Web-based EFL writing environment: integrating information for learners, teachers, and researchers

With the rise in the popularity of web-based education, there is a pressing need for the design of web-based systems that are domain-specific. This need is particularly acute for the domain of second language education, where generic web-based systems fall short of fulfilling the potential of the Internet for meeting the particular challenges faced by language learners and teachers. A novel interactive online environment is described which integrates the potential of computers, Internet, and linguistic analysis to address the highly specific needs of second language composition classes. The system accommodates learners, teachers, and researchers. A crucial consequence of the interactive nature of this system is that users actually create information through their use, and this information enables the system to improve with use. Specifically, the essays written by users and the comments given by teachers are archived in a searchable online database. Learners can do pinpoint searches of this data to understand their individual persistent difficulties. Teachers can do the same in order to discover these difficulties for individual learners and for a class as a whole. The architecture of the system makes possible a novel approach to corpus analysis of learner errors. Teachers' annotations of learner errors are exploited as bootstraps which can lead to the incremental uncovering of errors without the need to heavily error tag the learner corpus. Error analysis then feeds the design of online help content.     

Computer use and musculoskeletal symptoms among undergraduate university students

The use of computers has been shown to have the potential for detrimental effects on the musculoskeletal system. Previous research has identified risk factors for computer-related musculoskeletal symptoms (MSS) in the workforce, but the focus of investigation on university students is comparatively recent. There appears to be a relative paucity of research into computer-related MSS in European universities and none to date in Ireland. The primary aim of this study was to determine the prevalence of computer-related MSS in a cohort of undergraduate university students in Ireland. The cross-sectional study design involved a questionnaire of two parts. Part A was a questionnaire adapted from previously used questionnaires and included questions relating to demographic information regarding age, gender, year of study, hand dominance and details of computer use. Part B was a modified (to include only computer-related symptoms) Nordic Musculoskeletal Questionnaire. A total of 312 Health Sciences students were surveyed and 241 responded, giving an overall response rate of 76.9%. All students used a computer, with 95.4% using a laptop. Although the reported duration of computer use was quite low, the prevalence of computer-related MSS was high (52.8%). Increased prevalence of MSS was significantly associated with year of college, average daily laptop use and right hand dominance. A considerable proportion of students reported that MSS impacted on their work (18.3%) and leisure activities (23.6%) and furthermore 17.1% sought medical attention. The current study suggests that further research should be carried out on students from other disciplines and on students in other European universities to facilitate a greater understanding of the risk factors for computer-related MSS in undergraduate students.     

Problematic Internet use,loneliness and dating anxiety among young adult university students

The Internet, an important modern means of obtaining information and establishing communication with others, has become an increasingly essential element of human life. Although Internet use makes life easier, it can become problematic in the event of non-functional use. Debate and research into whether Internet addiction is a cause or an effect are continuing. This study investigates problematic Internet use among young adult university students and examines correlation between problematic Internet use and loneliness and dating anxiety. University student Internet use patterns are also investigated. The study was conducted among 493 students from the Karadeniz Technical University Fatih Faculty of Education. The Online Cognition Scale, Dating Anxiety Scale, Loneliness Scale and Personal Information Questionnaire were employed in the collection of data. Pearson correlation analysis, the t-test, one-way analysis of variance and chi-square test were used for data analysis. The Pearson correlation analysis results reveal a significant positive correlation between problematic Internet use and loneliness (r = 0.194, p < 0.001), communication anxiety (r = 0.15, p < 0.001), unpopularity anxiety (r = 0.174, p < 0.001) and physiological symptoms (r = 0.125, p < 0.001) dating anxiety sub-scales. One-way analysis of variance was used to examine whether problematic Internet use varies according to length of Internet use, and a significantly high level of problematic Internet use was observed among those going online for more than 5 h a day compared to other users (F = 14.327, p < 0.001). Chi-square results reveal a significant association between length of Internet use and how students feel when they do not go online (chi-square = 116.543, p < 0.001). The t-test was used to determine whether there was a significant difference in levels of Internet use according to gender, and levels of problematic Internet use were significantly higher among male students than females (t = 4.046, p < 0.001).     

Role taking and knowledge building in a blended university course

Role taking is an established approach for promoting social cognition. Playing a specific role within a group could lead students to exercise collective cognitive responsibility for collaborative knowledge building. Two studies explored the relationship of role taking to participation in a blended university course. Students participated in the same knowledge-building activity over three consecutive, five-week modules and enacted four roles designed in alignment with knowledge building pedagogy (Scardamalia and Bereiter 2010). In Study 1, 59 students were distributed into groups with two conditions: students who took a role in Module 2 and students who did not take a role, using Module 1 and 3 as pre and post tests. Results showed no differences in participation in Module 1, higher levels of writing and reading for role takers in Module 2, and this pattern was sustained in Module 3. Students with the Synthesizer role were the most active in terms of writing and the second most active for reading; students with the Social Tutor role were the most active for reading. In Study 2, 143 students were divided into groups with two conditions: students who took a role in Module 1 and students who did not take a role. Content analysis revealed that role takers tended to vary their contributions more than non-role takers by proposing more problems, synthesizing the discourse, reflecting on the process and organization of activity. They also assumed appropriate responsibilities for their role: the Skeptic prioritizes questioning of content, the Synthesizer emphasizes synthesizing of content, and the Social Tutor privileges maintaining of relationships. Implications of designing role taking to foster knowledge building in university blended courses are discussed.     

A cloning approach to classifier training

The Al-Alaoui algorithm is a weighted mean-square error (MSE) approach to pattern recognition. It employs cloning of the erroneously classified samples to increase the population of their corresponding classes. The algorithm was originally developed for linear classifiers. In this paper, the algorithm is extended to multilayer neural networks which may be used as nonlinear classifiers. It is also shown that the application of the Al-Alaoui algorithm to multilayer neural networks speeds up the convergence of the back-propagation algorithm.     

A new approach to perceptron training

The training of perceptrons is discussed in the framework of nonsmooth optimization. An investigation of Rosenblatt's perceptron training rule shows that convergence or the failure to converge in certain situations can be easily understood in this framework. An algorithm based on results from nonsmooth optimization is proposed and its relation to the "constrained steepest descent" method is investigated. Numerical experiments verify that the "constrained steepest descent" algorithm may be further improved by the integration of methods from nonsmooth optimization.     

The effects of personality traits,self-esteem,loneliness, and narcissism on Facebook use among university students

This study examined the relationship between three of the “Big Five” traits (neuroticism, extraversion, and openness), self-esteem, loneliness and narcissism, and Facebook use. Participants were 393 first year undergraduate psychology students from a medium-sized Australian university who completed an online questionnaire. Negative binomial regression models showed that students with higher openness levels reported spending more time on Facebook and having more friends on Facebook. Interestingly, students with higher levels of loneliness reported having more Facebook friends. Extraversion, neuroticism, self-esteem and narcissism did not have significant associations with Facebook use. It was concluded that students who are high in openness use Facebook to connect with others in order to discuss a wide range of interests, whereas students who are high in loneliness use the site to compensate for their lack of offline relationships.     

Internet use and psychological well-being among college students: A latent profile approach

Studies of correlations between Internet use and psychological well-being (PW) have produced mixed results. The present study used a latent profile analysis to distinguish among populations in terms of PW profiles, and then used a multinomial logistic regression to determine how online entertainment, social use, problematic Internet use (PIU), and gender predicted each latent PW profile. The initial sample consisted of 757 Taiwanese college freshmen. Four ordered latent groups were established as follows: good PW, normative, minor-disadvantageous, and severe-disadvantageous. No latent PW profile stability was found in subsequent years: three groups (normative, minor-disadvantageous and severe-disadvantageous) emerged in Year 2, and only one group emerged in Year 3. The results indicate (a) no relationship between PW and online entertainment or gender, (b) greater PIU increased the likelihood of disadvantageous PW and decreased the probability of good PW, and (c) greater use of online resources for social purposes was related to increased probability of a participant being in the good PW group, but not associated with fewer PW problems.     

Motivation and learning strategies in the use of ICTs among university students

Within the European Higher Education Area (EHEA) considerable efforts are being made to promote the incorporation of Information and Communication Technology (ICTs) in Higher Education (HE), together with placing emphasis on the cognitive and motivational components underlying learning. The objectives of this research were to analyze: (a) the relationship between different uses of ICTs and the learning outcomes and (b) the relationship between learning strategies and motivation and the use of ICTs. Four factors explain 57.4% of the total variance of the types of use of ICTs. It is possible to discern four patterns of use of ICTs (Social, Technical, Academic and Educational Platforms). Our results show significant associations of the different uses of ICT with expectations of improved performance and satisfaction. In addition, the Educational Platform Use (EPU) is linked to performance. In turn, the EPU is predicted by learning strategies and motivation variables which point to primarily motivational components. The results are discussed in relation to the difficulties inherent in the process of implementing the EHEA.     

Exploring AppInventory,a visual catalog of applications for assisting teachers and students

Multimedia Tools and Applications - We are witnessing a meaningful transformation of teaching and learning practices and widespread experimentation of new didactic methodologies. The availability...     

Participation, animation, design: a tripartite approach to urban community networking

Theories of networked individualism and forms of urban alienation challenge the continued purpose and relevance of conventional community tools in urban neighbourhood. However, the majority of urban residents surveyed in this research still believe that there are people living in their immediate neighbourhood who may share their interests or who are at least personally compatible, but they do not know them. Web-based community networking systems have the potential to facilitate intra-neighbourhood interaction and support community-building efforts. Community networking studies have shown that technical connectivity alone does not ensure community and that new and weak communities do not benefit from community networking systems as much as existing and strong communities do. This paper builds on these findings to present a methodology combining principles of participation, animation and design. This approach builds on intrinsic motivation in residents to find out about and meet one another in a private and inobtrusive way. It encourages residents to take social ownership of the community-building process and the community network. The approach recognises the network qualities in the communicative ecology of urban residents and supplements collective approaches towards community-building with personalised networking strategies.     

Hypertextual border crossing: students and teachers,texts and contexts

Collaborative hypertext writing in the college classroom can underwrite a pedagogy rooted in the cultural hybridity bell hooks has argued is central to progressive educational methodology. This article offers a narrative of the collaborative creation of a HyperCard hypertext called the E.A.R., and describes how the ideas developed in that project were adapted into a first-year composition course. In exploring the creation of a collaborative hypertext, we hope to gain insight into both the larger aims of the border crossings central to hooks’ ongoing project and the more local goals of hypertext pedagogy.     

An exploration of social networking site use,multitasking, and academic performance among United States and European university students

Studies have shown that multitasking with technology, specifically using Social Networking Sites (SNSs), decreases both efficiency and productivity in an academic setting. This study investigates multitasking’s impact on the relationship between SNS use and Grade Point Average (GPA) in United States (US; n = 451) and European (n = 406) university students using quantitative and qualitative data analysis. Moderated Multiple Regression analysis results showed that the negative relationship between SNS use and GPA was moderated by multitasking only in the US sample. This may be due to European students being less prone to “disruptive” multitasking. The results provide valuable cautionary information about the impact of multitasking and using SNSs in a learning environment on university students’ GPAs.     

A distributed approach to enabling privacy-preserving model-based classifier training

This paper proposes a novel approach for privacy-preserving distributed model-based classifier training. Our approach is an important step towards supporting customizable privacy modeling and protection. It consists of three major steps. First, each data site independently learns a weak concept model (i.e., local classifier) for a given data pattern or concept by using its own training samples. An adaptive EM algorithm is proposed to select the model structure and estimate the model parameters simultaneously. The second step deals with combined classifier training by integrating the weak concept models that are shared from multiple data sites. To reduce the data transmission costs and the potential privacy breaches, only the weak concept models are sent to the central site and synthetic samples are directly generated from these shared weak concept models at the central site. Both the shared weak concept models and the synthetic samples are then incorporated to learn a reliable and complete global concept model. A computational approach is developed to automatically achieve a good trade off between the privacy disclosure risk, the sharing benefit and the data utility. The third step deals with validating the combined classifier by distributing the global concept model to all these data sites in the collaboration network while at the same time limiting the potential privacy breaches. Our approach has been validated through extensive experiments carried out on four UCI machine learning data sets and two image data sets.