Methodological Approaches to Comparing Pedagogical Innovations Using Technology

The study of educational innovations has become increasingly important in education research as many countries around the world have embarked on education reforms that aim to change both the goals and practices in education. There is also a general expectation that such innovations can be leveraged or supported by the use of information and communication technology (ICT) in the learning and teaching process. However, comparative studies of innovations are relatively rare. SITES M2, as an international comparative study of innovative pedagogical practices involving 28 participating systems, thus faced important methodological challenges the solution of which was no less an innovation in itself. This paper examines the methods of analysis used and the kind of research findings that resulted from the work of three research teams that had conducted comparisons of the case studies of innovation collected, including the work of the SITES M2 International Coordinating Centre (ICC). Even though all three studies attempted to examine similarities and differences across multiple case studies, the analysis conducted by the ICC looked for characterizations of the innovations while the other two studies developed meaningful ways to compare the cases in terms of levels of innovation across a number of dimensions. In discussing the methodological differences across these studies, this paper pays special attention to how one could compare different innovations in terms of their levels or extents of innovation and what such comparisons may contribute to our learning from technology-supported education innovations.     

Effects of an augmented reality-based mobile system on students’ learning achievements and motivation for a liberal arts course

ABSTRACT

Although Augmented Reality (AR) technology has already been adopted into mobile learning environments, additional effort must be put towards providing strong evidence that AR-based mobile systems are excellent educational tools that make a positive impact in or outside of the classroom. Our study utilized a similar AR-based mobile learning system developed to authentically teach a liberal arts course at a Taiwanese university. Under controlled study environments, we were able to design a system that could impart relevant concepts from the course to students outside of the traditional classroom setting. Experimental results demonstrated that students with the opportunity to learn through the proposed system demonstrated higher learning motivation, had better learning performance and comprehension abilities than those studying via the conventional outdoor instruction approach. Moreover, the questionnaire survey conducted after our study revealed that “confidence” was the most highly rated motivational factor among students who used the proposed system, suggesting that students were quite motivated to learn using the novel system supplemented with technological advances because they felt more sure of their knowledge and performance. Thus, we believe that using the proposed system can effectively improve the learning outcomes of students enrolled in the liberal arts course, with the particular benefit of boosting confidence in gaining new knowledge, which leads to an improvement of overall learning performance and motivation.     

Supporting Argumentation Through Students' Questions: Case Studies in Science Classrooms

This study explores how student-generated questions can support argumentation in science. Students were asked to discuss which of two graphs showing the change in temperature with time when ice is heated to steam was correct. Four classes of students, aged 12–14 years, from two countries, first wrote questions about the phenomenon. Then, working in groups with members who differed in their views, they discussed possible answers. To help them structure their arguments, students were given a sheet with prompts to guide their thinking and another sheet on which to represent their argument diagrammatically. One group of students from each class was audiotaped. Data from both students' written work and the taped oral discourse were then analyzed for types of questions asked, the content and function of their talk, and the quality of arguments elicited. To illustrate the dynamic interaction between students' questions and the evolution of their arguments, the discourse of one group is presented as a case study and comparative analyses made with the discourse from the other three groups. Emerging from our analysis is a tentative explanatory model of how different forms of interaction and, in particular, questioning are needed for productive argumentation to occur.     

Image Capital,Field, and the Economies of Signs and Space

Drawing upon the concept of cultural capital, this article develops image as a form of Bourdieusean capital to examine what Lash and Urry identify as the economies of signs and space. Image capital refers to the accumulated labor of visual resources that allows agents possessing it to yield power. The concept of image capital will differentiate the power of images from the power of linguistic signs in the age of mediation.     

Combining Cultural Analytics and Networks Analysis: Studying a Social Network Site with User-Generated Content

Humanities and social sciences require new research approaches to deal with and to benefit from the explosion of digital media. Thanks to large scale data storage and processing, close reading of individual items can be supplemented with analysis of broader trends from massive amounts of data. Cultural Analytics (CA) is a recently developed methodology for the exploration of content and visual form in large image and video collections. It has already been applied to a variety of media types, including TV programs, feature films, newspapers, and video games. However, until now these applications did not take into account the social context of media. In many cases, media artifacts under scrutiny are generated or used by people in a social setting, either in forms of (digital) communities, or in terms of social relations, which can be also analyzed as a valuable source of information. Social network analysis (SNA) is a set of methods for the analysis of human networks, including massive online social networks. In this article, we argue that CA and SNA can be combined synergistically, using data and images from deviantArt, the leading online network of user-created art, as a case study.     

Kinematic analysis of shot-putting performed by wheelchair athletes of different medical classes

The aim of this study was to identify those kinematic characteristics that are most closely related to an athlete's medical classification and measured distance of a put. Two S-VHS camcorders (60 fields per second) were used to record the performance of 17 males of different classes. Each participant performed six trials and the best trial for each was selected for analysis. Three-dimensional kinematics of the shot and upper body segments at the instant of release and during the forward thrust (delivery) were determined. The average speeds and angles of the shot at release for different classes (5.3-7.8 ms -1 and 21.2 to 34.4°, respectively) were smaller than those exhibited by elite male able-bodied throwers. The height of the shot at release, the angular speed of the upper arm at release, the range of motion of the shoulder girdle during the delivery, and the average angular speeds of the trunk, shoulder girdle and upper arm during the delivery, were all significantly correlated with both the classification and measured distance ( P ? 0.05). The results indicate the importance of achieving a high average angular speed for each upper body segment during the delivery.     

Year-long teacher professional development on fifth grade student science outcomes

ABSTRACT

We first examined the effects of a year-long professional development (PD) programme for elementary science teachers on fifth grade student performance on state-mandated science achievement tests of students from a treatment and a comparison group of teachers in the 2009–2010 academic year. Then, we investigated the longer-term impacts by comparing the 2010–2011 student test results of the teachers one year after receiving treatment in 2009–2010 with the students of teachers who received treatment during 2010–2011. Test scores were analysed using a propensity score matching method to examine the relationship between the PD and student achievement. Results showed that even though the treatment teachers were out of the classroom 20% of the school year to attend the PD, there was no difference between their students’ science achievement scores and those of the comparison teachers who were in the classroom every day. This is an important finding because many principals and parents are reluctant to provide teachers with release time for PD. We also determined that students of teachers one year after participating in the PD significantly (p?<?0.001) with a medium effect size (η²?=?.088) outperformed students of teachers who had just completed the programme. This suggests that it takes time for teachers to implement new teaching strategies and that to observe the impact of an intervention programme, it may be important to expand the timeframe of the programme evaluation.