Social networking searching and privacy issues

The explosion of social networking sites has not only changed the way people communicate, but also added a new dimension to the way for searching or investigating people. As users share a wide variety of information on social networking sites, concerns are growing about organisations’ access to personally identifiable data and users are increasingly worried about privacy on social network sites. The main threat with data gathering is not only from where gathering it, but also where it goes afterwards. Neither social network sites providers nor the governments have any way to effectively protect users against privacy violations. However, a variety of efforts need to be explored to change the situation. Social network sites should continue work to strengthen privacy settings. Laws and policies should be improved to regulate the social networking searching in its legality, necessity and proportionality.     

Editorial for FGCS special issue: Big Data in the cloud

Research associated with Big Data in the Cloud will be important topic over the next few years. The topic includes work on demonstrating architectures, applications, services, experiments and simulations in the Cloud to support the cases related to adoption of Big Data. A common approach to Big Data in the Cloud to allow better access, performance and efficiency when analysing and understanding the data is to deliver Everything as a Service. Organisations adopting Big Data this way find the boundaries between private clouds, public clouds and Internet of Things (IoT) can be very thin. Volume, variety, velocity, veracity and value are the major factors in Big Data systems but there are other challenges to be resolved.The papers of this special issue address a variety of issues and concerns in Big Data, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation and aspects of social media.     

The timing of online lecture slide availability and its effect on attendance, participation, and exam performance

The use of PowerPoint slides has become an almost ubiquitous practice in university classrooms, however little research has examined whether the timing of lecture slide availability to students (either before or after lecture) affects classroom behaviour or exam performance. Using a 2 (slide availability condition) × 2 (course type) between-subjects design, the present study examined lecture slide availability differences in attendance, participation, and exam performance in two courses – Research Methods and Cognitive Development – taught in both the Fall and Winter semesters. For each type of course, lecture slides were made available on the course website before lecture in one semester and after lecture in the other semester. Course material was held constant across semesters. Results showed that mean attendance was higher when slides were available before lecture, but only for the type of course that did not include attendance points as part of students’ final grades. For students who participated in class, participation was more frequent when slides were available before lecture. No significant difference in exam performance was found between lecture slide availability conditions, however. These findings suggest that making lecture slides available to students before lecture may lead to better overall attendance and participation, but exam performance is determined by more than just whether or not students have lecture slides available for their note-taking.     

Technology as small group face-to-face Collaborative Scaffolding

There is a wealth of evidence that collaboration between learners can enhance the outcomes for all concerned. This supports the theorization of learning as a socio-cultural practice, framed by Vygotsky and developed by other researchers such as Rogoff, Lave and Wenger. However, there is also evidence that working collaboratively may not be a spontaneous response to working in a group, and that teaching learners how to collaborate, and in particular how to work together to negotiate meaning, is a necessary part of the process of learning collaboratively which can enhance outcomes further. A question for the computer supported collaborative learning community then arises as to whether learning to collaborate can be scaffolded through the use of digital tools, and what such tools might look like. This paper reports on the design of a digital system that aims to support the practice of face-to-face collaboration on open-ended tasks. Findings from trials of the system in classrooms in the UK and Chile show that the model is welcomed both by teachers and pupils, and met its objectives of ensuring greater interaction between class members who did not normally work together, and involvement of all individuals in discussion based activities.     

Epistemological and methodological issues for the conceptualization,development, and assessment of ICT–TPCK: Advances in technological pedagogical content knowledge (TPCK)

In this paper, several issues regarding the epistemology of technological pedagogical content knowledge (TPCK) are first raised for the purpose of clarifying the construct. Specifically, the transformative and integrative views are juxtaposed for exploring the epistemology of TPCK, and, at the end, the transformative view is adopted concluding that TPCK is a unique body of knowledge that is constructed from the interaction of its individual contributing knowledge bases. Then, ICT–TPCK is introduced as a strand of TPCK, and is described as the ways knowledge about tools and their affordances, pedagogy, content, learners, and context are synthesized into an understanding of how particular topics that are difficult to be understood by learners or difficult to be represented by teachers can be transformed and taught more effectively with technology in ways that signify its added value. One model for the development and another for the assessment of ICT–TPCK are then discussed. Technology Mapping is proposed as a situative methodology for the development of ICT–TPCK, and three forms of assessment, namely, expert assessment, peer assessment, and self-assessment are proposed for assessing teachers’ competencies to teach with technology. The paper also reports on the empirical findings of a study that was undertaken to investigate the impact of the proposed models on student learning within the context of two design tasks in a pre-service primary teacher education course. Repeated measures within-subject effects were tested and the results indicated that ICT–TPCK competency significantly improved over the course of a semester. The results of this study clearly show that the theoretical models proposed herein can positively impact the development of ICT–TPCK. Lastly, these results can be used as baseline data in future studies that may be conducted to further validate or improve the proposed models in different contexts.     

Modelling technology acceptance in education: A study of pre-service teachers

The purpose of the study is to build a model that predicts the level of technology acceptance by pre-service teachers at a teacher training institute in Singapore. It examines relationships among variables associated with factors that influence technology acceptance. Data was collected from 475 participants using a survey questionnaire. Employing structural equation modelling, a hypothesized model was tested for model fit in the study. The resulting model is found to have a good fit. Perceived usefulness, attitude towards computer use, and computer self-efficacy have direct effect on pre-service teachers’ technology acceptance, whereas perceived ease of use, technological complexity, and facilitating conditions affect technology acceptance indirectly. These six variables account for approximately 27.1% of the variance of behavioural intention. Perceived usefulness appeared to the strongest determinant of behavioural intention.     

Lasting effects on literacy skills with a computer-assisted learning using syllabic units in low-progress readers

This study examines the effects of a computer-assisted learning (CAL) program in which syllabic units were highlighted inside words in comparison with a CAL program in which the words were not segmented, i.e. one requiring whole word recognition. In a randomised control trial design, two separate groups of French speaking poor readers (2 * 14) in first grade were constituted. They were matched on a range of reading measures and non verbal intelligence and trained intensively over a short period (10 h over a period of 5 weeks). Three tasks were proposed using a classical pre-test/training/post-test design, written word recognition, word reading aloud and word spelling. In addition, three post-test sessions were conducted: one just after training, one after 4 months, and a last one after 9 months. The experimental group trained with the CAL using syllabic units outperformed the control group using CAL with whole word recognition in all the three tasks and there were important lasting effects. The results are discussed in the light of the self-teaching hypothesis and phonological recoding.     

The impact of an innovative instructional intervention on the acquisition of oral presentation skills in higher education

The present study focuses on the design and development of an instructional approach to develop oral presentation skills. The theoretical base builds on the social cognitive perspective, and self-regulated learning. The aim of the study is to investigate whether the design of a multimedia-based instructional format - comprising of a standardised multimedia instruction, practical activities and feedback - will enhance oral presentation skills. In the study, the differential effect of three ‘modes of feedback’ on performance has been researched. The results reveal that oral presentation skills did improve significantly after the instruction. The multimedia nature of the design was favoured by all participants. In contrast, no significant impact of feedback was found. Nevertheless, feedback proved to be a useful process that was highly welcomed by participants.     

A cyberphilosophical issue in education: Unethical computer using behavior – The case of prospective teachers

Increased use of technology for instructional purposes has caused some debates about ethical and/or moral use of computers. All teachers, as practitioners of ICT in learning settings, must feel responsible for educating students on “what is right and what is wrong?” of computer use. This study aimed to determine prospective teachers’ unethical computer using behaviors at a faculty of education in Turkey. The results showed that the participating prospective teachers are sensitive to ethical computer use. However, the general mean of the surveys is above the average by a small degree that makes the participants’ judgments of ethical use inconsiderable. It can be concluded that they undermine ethical computer use. Science teachers and computer education teachers’ judgments were less ethical than those of classroom teachers and social sciences teachers. The results also revealed that female candidate teachers were more concerned about ethical issues and that prospective teachers who had up to five years of PC experience considered ethical computer use more than those with five years and beyond. After the survey analysis, the study was completed with qualitative data gathered from semi-structured interviews with nine students.     

Evaluating college students’ evaluations of a professor’s teaching effectiveness across time and instruction mode (online vs. face-to-face) using a multilevel growth modeling approach

Aims

Do college students’ ratings of a professor’s teaching effectiveness suggest that a professor’s teaching improves with time? Does anything predict which instructors receive the highest ratings or improve the fastest? And, importantly, do the correlates of change differ across face-to-face and online courses?

Methods

I used data from 10,392 classes taught by 1120 instructors across three years and fit a taxonomy of multilevel growth models to examine whether students’ ratings of teaching effectiveness (SETEs) changed across time, whether differences in average SETEs correlated with growth, and whether online vs. face-to-face, tenure, discipline, course level, sex, or minority status affected these estimates.

Results

SETEs remained relatively stable across time and teachers, although analyses uncovered a statistically significant, negative correlation between initial status and growth. Instructors starting with lower SETEs improved the fastest. These findings held across online and face-to-face instruction modes. However, in face-to-face classes, minority instructors received significantly lower average SETEs. This difference did not occur in online classes. No other predictors showed statistically significant effects. Finally, considerable SETE variance remained unexplained even when including the full predictor set in the model.

Discussion

These findings reveal that professors’ SETEs can improve. Additionally, they indicate that patterns of change in teaching effectiveness do not differ generally across online and face-to-face instruction modes. However, the results showed that minority teachers in face-to-face but not online classes received lower evaluations than their majority counterparts. Additional research should seek to understand what leads to SETE differences across minority and majority groups in face-to-face classes but not online classes.