Fostering High School Students’ Conceptual Understandings About Seasons: The Design of a Technology-enhanced Learning Environment

The purpose of this study is to understand in what ways a technology-enhanced learning (TEL) environment supports learning about the causes of the seasons. The environment was designed to engage students in five cognitive phases: Contextualisation, Sense making, Exploration, Modeling, and Application. Seventy-five high school students participated in this study and multiple sources of data were collected to investigate students’ conceptual understandings and the interactions between the design of the environment and students’ alternative conceptions. The findings show that the number of alternative conceptions held by students were reduced except for the incorrect concepts of “the length of sunshine” and “the distance between the sun and the earth.” The percentage of partial explanations held by students was also reduced from 60.5 to 55.3% and the percentage of students holding complete scientific explanations after using Lesson Seasons rose from 2.6 to 15.8%. While some students succeeded in modeling their science concepts closely to the expert’s concepts, some failed to do so after the invention. The unsuccessful students could not remediate their alternative conceptions without explicit guidance and scaffolding. Future research can then be focused on understanding how to provide proper scaffoldings for removing some alternative concepts which are highly resistant to change.

The learning analytics of model-based learning facilitated by a problem-solving simulation game

This study investigated students’ modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the content analysis found that the problem-solving simulation game helped most of the students to reflectively play with the science problem and build a workable model to solve it. By using the supervised LSA, it was found that the students who successful solved the game frequently linked the game contexts with the physics terminologies, while those who did not solve the problem simply relied on the intuitive knowledge provided in the reference materials. Furthermore, the unsupervised LSA identified four activity patterns that were not noticed in the supervised LSA: the fragmented, reference material centered, reference material aided modeling, and modeling centered patterns. Each pattern has certain associations with certain problem-solving outcomes. The results of this study also shed light on the use of different analytics techniques. While the supervised LSA is particularly helpful for depicting a contrast of activity patterns between two specific student groups, the unsupervised LSA is able to identify hidden significant patterns which were not clearly distinguished in the pre-defined student groups. Researchers may find these analytics techniques useful for analyzing students’ learning processes.     

Whole Class Dialogic Discussion Meets Taiwan’s Physics Teachers: Attitudes and Culture

There is a distance between the power that whole class dialogic discussions (WCDD) may offer to the science class and their use in practice. Teachers’ attitudes toward WCDD are part of the problem. The aims of this study were twofold: (a) to examine Taiwanese physics teachers’ attitudes toward WCDD by considering cultural perspectives and describe how these attitudes changed as a result of a special workshop designed for this purpose, and (b) to report on how these attitudes should be taken into account in designing such workshops in the future. Nine experienced physics teachers participated in the WCDD workshop. The workshop was based on the WCDD model developed by Eshach (2010). Inductive analyses were performed on interviews with the teachers and their students, which were composed of 36 questions and developed specially for the purpose of this study, yielded the following categories: (1) In-school reasons for opposing WCDD—reasons belonging to school ways/tradition of teaching that may cause barriers to WCDD implementation; (2) External Factors—cultural reasons relating to Taiwanese views concerning education in general, which cause barriers to WCDD implementation; and (3) Cognitive aspect—refers to what teachers know about WCDD. The paper concludes with a discussion on what should be done in order to successfully bring WCDD to the Taiwanese physics class.     

A Novice-Expert Study of Modeling Skills and Knowledge Structures about Air Quality

This study compared modeling skills and knowledge structures of four groups as seen in their understanding of air quality. The four groups were: experts (atmospheric scientists), intermediates (upper-level graduate students in a different field), advanced novices (talented 11th and 12th graders), and novices (10th graders). It was found that when the levels of modeling skills were measured, for most skills there was a gradual increase across the spectrum from the novices to the advanced novices to the intermediates to the experts. The study found the experts used model-based reasoning, the intermediates and advanced novices used relation-based reasoning, and the novices used phenomena-based reasoning to anticipate conclusions. The experts and intermediates used more bi-variable relationships in experimental design and anticipated conclusions, but used more multiple-variable relationships in identifying relationships. By contrast, the advanced novices and novices mostly used bi-variable relationships in all modeling skills. Based on these findings, we suggest design principles for model-based teaching and learning such as designing learning activities to encourage model-based reasoning, scaffolding one??s modeling with multiple representations, testing models in authentic situations, and nurturing domain-specific knowledge during modeling.     

Content analysis of online discussion on a senior-high-school discussion forum of a virtual physics laboratory

In this study we content analyzed the online discussion of several senior-high-school groups on a forum of a virtual physics laboratory in Taiwan. The goal of our research was to investigate the nature of non-course-based online discussion and to find out some useful guidelines in developing such discussion forums for learning purposes. We adapted Henri’s framework and models (1992) for our analysis. The content analysis was conducted in terms of participation rate, social cues, interaction types, and cognitive and metacognitive skills. In this study, we compared the result patterns of two discussion conditions (‘required’ (R-) condition versus ‘non-required’ (NR-) condition) of a non-course-based discussion forum and investigated how the quality of message content changed in the processes of discussion. In the R-condition, participants were required to reply to the thread before they were allowed to read other messages on the forum, whereas participants in the NR-condition were not restricted to this demand. The results showed that for both conditions, the most frequently involved interaction type was ‘direct response’, and the most frequently used cognitive skill was ‘elementary clarification’. Fewer participants of the R-condition strayed from the subject under discussion in comparison to the NR-condition. However, larger percentage of message content containing metacognitive components was found in the NR-condition. When taking the sequences of postings into account, we found that for the R-condition, the percentage of metacognitive component in the message content tended to increase in the up-third postings, whereas for the up-third postings of the NR-condition the percentage of non-cognitive components substantially increased. Overall, the results of our study indicated that the way in which participants used cognitive and metacognitive skills during the discussions was related to the discussion conditions. The initial requirement of reply fostered the use of cognitive skills, but it did not necessarily induce the use of high-level cognitive or metacognitive skills. We concluded that beside the discussion conditions the moderators’ guidance would be influential in determining the quality of online discussion on a non-course-based discussion forum. in final form: 19 August 2005     

Factors Affecting Teachers’ Adoption of Technology in Classrooms: Does School Size Matter?

Researchers in educational technology have searched for factors to explain teachers’ acceptance and resistance to using technology for instruction. Among the many identified factors, however, organizational and school factors have not yet been explored and discussed. This study investigates the effects of school size on science and mathematics teachers’ adoption of technology in classrooms. Using national survey data collected from 940 science and mathematics teachers at junior high schools in Taiwan, we employed factor analyses, log-linear analyses, and three-way ANOVA techniques to examine interactions among school factors and teacher factors. Results obtained from the log-linear analyses suggested that both the interactions of school region with school size and school size with technology users were needed to explain teachers’ use of educational technology in classrooms. It appears that teachers at small schools were more likely to use technology for instructional purposes. Additionally, results of the study revealed that teachers at small schools tended to have positive attitudes toward technology use and that among users of educational technology in southern Taiwan, teachers at small schools designed and used significantly more instructional activities with technology. This study suggests that small schools provide a better environment for science and mathematics teachers to implement educational technology in instruction.     

Augmenting the effect of virtual labs with "teacher demonstration" and "student critique" instructional designs to scaffold the development of scientific literacy

Instructional Science - Virtual labs provide space for students to iteratively test, observe, and revise their understanding so as to improve their scientific literacy. However, one of the...