Support of the collaborative inquiry learning process: influence of support on task and team regulation

Regulation of the learning process is an important condition for efficient and effective learning. In collaborative learning, students have to regulate their collaborative activities (team regulation) next to the regulation of their own learning process focused on the task at hand (task regulation). In this study, we investigate how support of collaborative inquiry learning can influence the use of regulative activities of students. Furthermore, we explore the possible relations between task regulation, team regulation and learning results. This study involves tenth-grade students who worked in pairs in a collaborative inquiry learning environment that was based on a computer simulation, Collisions, developed in the program SimQuest. Students of the same team worked on two different computers and communicated through chat. Chat logs of students from three different conditions are compared. Students in the first condition did not receive any support at all (Control condition). In the second condition, students received an instruction in effective communication, the RIDE rules (RIDE condition). In the third condition, students were, in addition to receiving the RIDE rules instruction, supported by the Collaborative Hypothesis Tool (CHT), which helped the students with formulating hypotheses together (CHT condition). The results show that students overall used more team regulation than task regulation. In the RIDE condition and the CHT condition, students regulated their team activities most often. Moreover, in the CHT condition the regulation of team activities was positively related to the learning results. We can conclude that different measures of support can enhance the use of team regulative activities, which in turn can lead to better learning results

What Can Be Learned from Computer Modeling? Comparing Expository and Modeling Approaches to Teaching Dynamic Systems Behavior

Computer modeling has been widely promoted as a means to attain higher order learning outcomes. Substantiating these benefits, however, has been problematic due to a lack of proper assessment tools. In this study, we compared computer modeling with expository instruction, using a tailored assessment designed to reveal the benefits of either mode of instruction. The assessment addresses proficiency in declarative knowledge, application, construction, and evaluation. The subscales differentiate between simple and complex structure. The learning task concerns the dynamics of global warming. We found that, for complex tasks, the modeling group outperformed the expository group on declarative knowledge and on evaluating complex models and data. No differences were found with regard to the application of knowledge or the creation of models. These results confirmed that modeling and direct instruction lead to qualitatively different learning outcomes, and that these two modes of instruction cannot be compared on a single “effectiveness measure”

CIEL:Integrating Approaches for Inquiry Learning

The world is changing and changing fast. Contemporary students live in a world full of impressions, fast changing viewpoints, ubiquitous information, zapping behaviour, play and joy etc. They use facilities such as MSN, on-line gaming, and SMS. They expect a seamless access to information, mostly in a social context. At the same time we see drastic changes in learning environments, moving them to rich, multi-media, collaborative, experiential, and individualised environments. Though starting from different angles, these two developments seem to come together. Modern learning environments such as WISE (Slotta, 2004) or BioLogica (Hickey, Kindfield, Horwitz, & Christie, 2003) combine all kinds of opportunities to learn and communicate in a facilitative setting

Mixing Problem Based Learning And Conventional Teaching Methods In An Analog Electronics Course

This study, undertaken at the Walter Sisulu University of Technology (WSU) in South Africa, describes how problem-based learning (PBL) affects the first year ‘analog electronics course’, when PBL and the lecturing mode is compared. Problems were designed to match real-life situations. Data between the experimental group and the control group that related to attitudinal effect; the amount of reflection and learning outcome effects, were compared. A strong correlation was found between the students’ attitudes and project marks for those who used the problem-based learning method. It was found that students who followed the PBL method learned to do research, learned better how to work in groups and developed greater confidence. Also what they learned was more of a practical value and they had more positive attitudes and reflected more, but there were no significant improvements in their learning. This research is in response to the real need to address gaps between employer expectations and higher education outcomes in South Africa.

Chinese and Dutch mathematics teachers’ beliefs about inquiry-based learning

International audienceTeachers’ beliefs are expected to have impact on the implementation of inquiry-based learning (IBL) in mathematics education. Moreover, Chinese and Dutch teaching cultures in mathematics seem to be very different. This paper presents results from semi-structured interviews with 30 Chinese and 19 Dutch mathematics teachers’ beliefs about IBL. Statements were connected to main codes and ranked for each country. Dutch teachers focused on students’ taking responsibility in IBL while Chinese teachers put extra emphasis on teacher guidance, they also talked about student discussion and collaboration. Chinese teachers paid attention to the benefits of IBL on mathematical thinking while Dutch teachers to the benefits on mastery and appliance of knowledge. In addition to the lack of time and suitable tasks as difficulties, Chinese teachers also mentioned students’ lack of motivation and performance, while Dutch teachers mentioned the demands and openness of IBL