Computer-supported collaborative learning with digital video cases in teacher education: The impact of teaching experience on knowledge convergence

Case-based learning is ascribed high potential with respect to the education of pre-service teachers as well as the further education of experienced in-service teachers, as it can provide opportunities for the application of professional knowledge to authentic classroom situations. In addition to the application and acquisition of knowledge, the aspect of knowledge convergence (i.e., increasing similarity of collaborative learners with respect to their knowledge) should be taken into account when homogeneous benefits are desired for all participants of a case-based training. A field study with 29 pre-service teachers and 24 in-service teachers from adult education was conducted to examine effects of different levels of teaching experience on knowledge application, knowledge acquisition, and knowledge convergence in a computer-supported collaborative case-based learning environment. An innovative approach to measuring knowledge convergence was introduced, using the positions of annotations (i.e., flags placed on the timeline of the case video) made by learners during their case analyses as an indicator of their shared focus of attention. This measure was found to positively correlate with the application and acquisition of professional knowledge. Teaching experience affected both processes and outcomes of case-based learning, suggesting different means of instructional support for pre-service and in-service teachers.     

Complexities of digital technology use and the teaching and learning of function

Many argue that digital technologies have the potential to enhance the teaching and learning of mathematics. However, the availability of technology is not sufficient to realise this potential. The study reported takes a detailed approach to investigate the utility of the particular offerings of the available technologies in the teaching and learning of a specific area of mathematics, functions. Sixteen affordances identified in the data are described. The complexity of the process involved in resolving a situation where particular affordances would be useful so as they are perceived and enacted is detailed. Finally, a grounded theory framework arising from the data analysis from this study that can be used to explain, predict and guide action in other digital environments is presented.     

Modeling teachers' influence on learners' self-directed use of technology for language learning outside the classroom

Teachers are important social agents who shape the quantity and quality of students' self-directed use of technology for learning outside the classroom. This study aimed to model the influence of teacher behaviors on learners' self-directed technology use. A conceptual model of three types of teacher support (affection support, capacity support and behavior support) that were reported to influence students' self-directed technology use for learning outside the classroom was generated based on interviews with 15 undergraduate foreign language learners. One hundred and sixty undergraduate foreign language learners were then surveyed to test the conceptual model. The path analysis of the survey data suggested that affection support influenced learner self-directed technology use through strengthened perceived usefulness, and that capacity support and behavior support influenced learner self-directed technology use through enhanced facilitating conditions and computer self-efficacy. The research findings highlight the importance of raising teachers' awareness of the different roles they can play and of enhancing their abilities to perform a combination of the roles to promote learner self-directed use of technology for learning outside the classroom.     

Investigating acceptance toward mobile learning to assist individual knowledge management: Based on activity theory approach

Mobile devices could facilitate human interaction and access to knowledge resources anytime and anywhere. With respect to wide application possibilities of mobile learning, investigating learners’ acceptance towards it is an essential issue. Based on activity theory approach, this research explores positive factors for the acceptance of m-learning systems. In the research, we developed an m-learning system for learners’ knowledge management and invited 152 participants who knew how to use the m-learning system then report on their experience. The results show that enhancing learners’ satisfaction, encouraging learners’ autonomy, empowering system functions, and enriching interaction and communication activities have a significant positive influence on the acceptance of m-learning systems.     

Effects of matching teaching strategy to thinking style on learner’s quality of reflection in an online learning environment

Reflection plays an important role in improving learning performance. This study, therefore, attempted to explore whether learners’ reflection levels can be improved if teaching strategies are adapted to fit with learners’ thinking styles in an online learning environment. Three teaching strategies, namely constructive, guiding, and inductive, were designed to match with three thinking styles, namely legislative, executive, and judicial respectively. An online reflection learning system was subsequently developed to reflect this scenario. An experiment was then conducted where the learners were classified into fit or non-fit group in order to analyze whether there was a good fit between the teaching strategies designed by the teacher and the thinking styles of learners. A total of 223 graduate and undergraduate students participated in the experiment. The results revealed that the reflection levels of the fit group had outperformed the non-fit group.