Cheating among elementary school children: A machine learning approach

Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean accuracy of 81.43%. Cheating was most strongly predicted by children's beliefs about the acceptability of cheating and the observed prevalence and frequency of peer cheating at school. These findings provide important insights about the early development of academic cheating, and how to promote academic integrity and limit cheating before it becomes entrenched. The present research demonstrates that machine learning can be effectively used to analyze developmental data.     

Effects of the shape and size of a mooring line surface buoy on the mooring load of wave energy converters

This paper describes the physical model testing of a wave energy converter (WEC) undertaken in the Henot-watt wave basin during October 2010 as part of the SUPERGEN2 project funded by the British gover...     

Facilitators and Barriers to Movement Integration in Elementary Classrooms: A Systematic Review

Purpose: A systematic review was conducted to identify facilitators and barriers to movement integration (MI) in elementary school classrooms. Method: Online databases (Educational Resources Information Center, Google Scholar, PsycINFO, and PubMed) served as data sources for the study. Following the PRISMA guidelines, relevant published research on MI was identified and screened for inclusion in a qualitative synthesis. Content analysis of the included articles (N = 28) was used to identify themes of MI facilitators and barriers. Facilitators and barriers were then categorized using a social-ecological framework. Results: A total of 12 themes of MI facilitators and barriers were identified and categorized into two social-ecological levels: institutional factors (e.g., administrative support, resources) and intrapersonal factors (e.g., teacher confidence, ease of implementation). Conclusion: This review can inform research and practice aimed at supporting the implementation of MI in elementary classrooms.     

A Reply to MacCabe

This short piece is written in response to a piece by Colin MacCabe in the last issue of English in Education in which he commented on an article that I had written in Vol. 31, No. 3.     

Effect of repeat-sprint training in hypoxia on post-exercise interleukin-6 and F2-isoprostanes

This investigation examined the oxidative stress (F₂-Isoprostane; F₂-IsoP) and inflammatory (interleukin-6; IL-6) responses to repeat-sprint training in hypoxia (RSH). Ten trained male team sport athletes performed 3(sets)*9(repetitions)*5?s cycling sprints in simulated altitude (3000?m) and sea-level conditions. Mean and peak sprint power output (MPO and PPO) were recorded, and blood samples were collected pre-exercise, and again at 8 and 60?min post-exercise. Both MPO and PPO were significantly reduced in hypoxia (compared to sea-level) in the second (MPO: 855?±?89 vs. 739?±?95?W, p?=?.006; PPO: 1024?±?114 vs. 895?±?112?W, p?=?.010) and third (MPO: 819?±?105 vs. 686?±?83?W, p?=?.008; PPO: 985?±?125 vs. 834?±?99?W, p?=?.008) sets, respectively. IL-6 was significantly increased from pre- to 1?h post-exercise in both hypoxia (0.7?±?0.2 vs. 2.4?±?1.4?pg/mL, p?=?.004) and sea-level conditions (0.7?±?0.2 vs. 1.6?±?0.3?pg/mL, p?d?=?0.80) suggesting higher IL-6 levels of post-hypoxia. F₂-IsoP was significantly lower 1?h post-exercise in both the hypoxic (p?=?.005) and sea-level (p?=?.002) conditions, with no differences between trials. While hypoxia can impact on exercise intensity and may result in greater post-exercise inflammation, it appears to have little effect on oxidative stress. These results indicate that team sport organisations with ready access to hypoxic training facilities could confidently administer RSH without significantly increasing the post-exercise inflammatory or oxidative stress response.     

Gifted Metaphors: Exploring the Metaphors of Teachers in Gifted Education and Their Impact on Teaching the Gifted

Metaphors are devices that people employ for both poetic purposes and rhetorical elaboration and belong to the realm of extraordinary language. Metaphors are used to connect abstract ideas and information to more concrete experiences, thus making these experiences more familiar and easier to understand. Moreover, metaphors are more than symbolic intellectual processes; they influence the conceptual understanding of our experiences and help define our everyday realities. For education, there is an important and relevant practical connection between the metaphors that teachers employ and their beliefs about teaching and classroom practices. This stems from the notion that metaphors guide one’s mental framework. In order to gain a deeper understanding of the metaphors influencing teachers in gifted education, this study specifically asked teachers to describe both their metaphors concerning gifted students as well as those influencing their teaching. In this study, nine different themes were identified. This research demonstrates a clear connection between reported metaphors and how gifted students receive their education from teachers. Participants’ answers demonstrate a strong connection between their metaphors and their classroom practices. However, strict adherence to one’s root metaphor increases the chance for dogmatism in the classroom and can lead to potentially incoherent classroom differentiation and a potential disconnect between classroom practices and the actual pedagogical needs of the gifted learner.