Brain Engagement During a Cognitive Flexibility Task Relates to Academic Performance in English Learners

English Learners (ELs), students from non-English-speaking backgrounds, are a fast-growing, understudied, group of students in the U.S. with unique learning challenges. Cognitive flexibility—the ability to switch between task demands with ease—may be an important factor in learning for ELs as they have to manage learning in their non-dominant language and access knowledge in multiple languages. We used functional MRI to measure cognitive flexibility brain activity in a group of Hispanic middle school ELs (N = 63) and related it to their academic skills. We found that brain engagement during the cognitive flexibility task was related to both out-of-scanner reading and math measures. These relationships were observed across the brain, including in cognitive control, attention, and default mode networks. This work suggests the real-world importance of cognitive flexibility for adolescent ELs, where individual differences in brain engagement were associated with educational outcomes.     

Peer Assessment of a Group Project in a Primary Mathematics Education Course

This paper discusses the problem of discriminating between individual contributions in the assessment of group projects. It is argued that peer assessment is a necessary element of any proposed structure but that the use of any ‘weighting‐factor’ system is contrary to the philosophy underpinning collaborative groupwork. A structure that separates the process and product elements of the assessment is described and a set of generic criteria for the process peer assessment identified. This structure was implemented with a group of students at Hong Kong University and evaluated using questionnaires and in‐depth interviews. The paper discusses the results of this evaluation and in particular identifies the need for ‘benchmarking’ when using the criteria and also the problematic nature of the ‘insider‐outsider’ syndrome as an important cultural factor.     

The Effects of Incorporating Web‐assisted Learning with Team Teaching in Seventh‐grade Science Classes

Due to the implementation of a 9‐year integrated curriculum scheme in Taiwan, research on team teaching and web‐based technology appears to be urgent. The purpose of this study was incorporated web‐assisted learning with team teaching in seventh‐grade science classes. The specific research question concerned student performance and attitudes about the teaching method. Two certified science teachers and four classes of the seventh graders participated in this study. It used a mixed methods design, incorporating both quantitative and qualitative techniques. The main data included students’ scores, questionnaires, teachers’ self‐reflections, and the researcher’s interviews with teachers. The results showed that the average final examination scores of students experiencing the experimental teaching method were higher than that of those receiving traditional teaching. The two teaching methods showed significant difference in respect of students’ achievement. The research had limitations because of students’ abilities of data collection, computer use, and discussion, but more than one‐half of the students preferred the experimental method to traditional teaching. However, team teachers would encounter the problems of technology ability, time constraints, and entrance examination pressure.     

The Impact of Gatekeeper Training for Suicide Prevention on University Resident Assistants

Resident assistants (RAs) can serve as important suicide prevention gatekeepers. The purpose of the study was to determine if training improved RAs’ crisis communications skills and suicide‐related knowledge and to determine if the knowledge elements predicted crisis communications skills. New RAs showed significant improvement in all areas from pretest to posttest, whereas returning RAs showed no significant increase in any of the areas. None of the knowledge areas predicted communications skills for either group.     

Classroom Organisation and Teaching Approaches at Key Stage One: meeting the needs of children with and without additional educational needs in five inner city schools

This study is based on case studies of five inner city schools and focuses on organisation and teaching approaches used by teachers of Year 2 classes. It also addresses teaching approaches adopted and support for children with ‘additional’ educational needs, operationalised in terms of both special educational needs (not necessarily statemented) and English language needs. Planning was almost universally carried out on a weekly basis, with longer‐term planning also being apparent. Varied responses in relation to teachers’ aims and teaching approaches adopted emerged. These were frequently reported to have changed as a result of the National Curriculum. The majority of teachers reported that they grouped children on the basis of their ability. Children with language needs and with special educational needs were not equally distributed amongst the schools in the study and the support available for these children differed markedly. The findings are discussed in the context of past research and current policy.     

Assessing twenty‐first century skills through a teacher created video game for high school biology students

As twenty‐first century skills become a greater focus in K‐12 education, an infusion of technology that meets the needs of today’s students is paramount. This study looks at the design and creation of a Multiplayer Educational Gaming Application (MEGA) for high school biology students. The quasi‐experimental, qualitative design assessed the twenty‐first century skills of digital age literacy, inventive thinking, high productivity, and effective communication techniques of the students exposed to a MEGA. Three factors, as they pertained to these skills, emerged from classroom observations. Interaction with the teacher, discussion with peers, and engagement/time‐on‐task while playing the MEGA suggested that students playing an educational video game exhibited all of the projected twenty‐first century skills while being engrossed in the embedded science content.     

School Work,Homework and Gender

This paper explores female and male students' attitudes towards school work in terms of application and achievement. The data are drawn from interviews with students, teachers, careers officers and welfare officers in three semi‐rural comprehensive schools in one local education authority (LEA) [1]. (The students were in their last year of compulsory schooling, Year 11, and were aged 16 [2].) The three schools had invited the authors to explore why boys were achieving below their potential in terms of course work and end of course grades. The findings of the study show how school, peer group and community factors influence students' attitudes towards school work and homework. However, the situation is not just one of boys' under‐performance: the pattern of girls' achievement at 16 (the school leaving age) is not always carried through post‐16 or into career destinations. The problem is one of ‘equalising opportunities’ for all young people, taking into account the different patterns of need at different stages in their school careers.     

A Conditional Joint Modeling Approach for Locally Dependent Item Responses and Response Times

The assumption of conditional independence between the responses and the response times (RTs) for a given person is common in RT modeling. However, when the speed of a test taker is not constant, this assumption will be violated. In this article we propose a conditional joint model for item responses and RTs, which incorporates a covariance structure to explain the local dependency between speed and accuracy. To obtain information about the population of test takers, the new model was embedded in the hierarchical framework proposed by van der Linden ( 2007 ). A fully Bayesian approach using a straightforward Markov chain Monte Carlo (MCMC) sampler was developed to estimate all parameters in the model. The deviance information criterion (DIC) and the Bayes factor (BF) were employed to compare the goodness of fit between the models with two different parameter structures. The Bayesian residual analysis method was also employed to evaluate the fit of the RT model. Based on the simulations, we conclude that (1) the new model noticeably improves the parameter recovery for both the item parameters and the examinees’ latent traits when the assumptions of conditional independence between the item responses and the RTs are relaxed and (2) the proposed MCMC sampler adequately estimates the model parameters. The applicability of our approach is illustrated with an empirical example, and the model fit indices indicated a preference for the new model.     

Exploring the Roles of Social Presence and Gender Difference in Online Learning

Online learning has become more popular in higher education with its advantages of flexibility and accessibility. However, there have been challenges to students’ learning experience in online learning. One critical challenge would be providing interactions between students and instructors as good or effective as in the face‐to‐face environment. However, providing face‐to‐face interactions in online learning is not feasible because students and instructors are not physically present together. In this study, we introduce and empirically investigate social presence as student learning experience in online learning in which physical presence does not exist. Drawing upon the social presence and online learning literature, we propose a research model to explore how the interactivity of communication tools can drive social presence and student satisfaction in online learning. Furthermore, this study examines gender difference as a moderator in the model. Data were collected from undergraduate students who were taking online business statistics courses where an interactive communication tool was required to use for class communication and collaboration. The results showed that social presence driven by tool interactivity had a significant impact on student satisfaction in online learning. We also found that gender difference moderated the relationship between tool interactivity and social presence in online learning.