A role for technology in enhancing students’ engagement with feedback

This paper explores the potential of technology-enabled feedback to improve student learning. ‘Technology, Feedback, Action!: The impact of learning technology upon students’ engagement with their feedback’ aimed to evaluate how a range of technical interventions might encourage students to engage with feedback and formulate actions to improve future learning. The study used qualitative methods and worked in partnership with 23 undergraduate students to explore their experiences of receiving different forms of feedback with varying degrees of technical intervention including, but not limited to, electronic feedback with grades withheld; online grade publication; criteria-based feedback; and more traditional feedback methods. Through a series of semi-structured interviews, student participants were encouraged to articulate their experiences of feedback. The online publication of grades and feedback and the adaptive release of grades were found to significantly enhance students’ engagement with their feedback. Data were analysed using a thematic approach, and the main themes were used to inform the development of a series of good practice guides. The findings are discussed in the context of current literature.     

Is childhood cruelty to animals a marker for physical maltreatment in a prospective cohort study of children?

Childhood cruelty to animals is thought to indicate that a child may have been maltreated. This study examined: (a) prevalence of cruelty to animals among 5- to 12-year-old children; (b) the association between cruelty to animals, child physical maltreatment, and adult domestic violence; and (c) whether cruelty to animals is a marker of maltreatment taking into account age, persistence of cruelty, and socioeconomic disadvantage. Data were from the Environmental Risk (E-Risk) Longitudinal Twin Study, an epidemiological representative cohort of 2,232 children living in the United Kingdom. Mothers reported on cruelty to animals when children were 5, 7, 10, and 12 years, on child maltreatment up to age 12, and adult domestic violence. Nine percent of children were cruel to animals during the study and 2.6% persistently (≥2 time-points). Children cruel to animals were more likely to have been maltreated than other children (OR = 3.32) although the majority (56.4%) had not been maltreated. Animal cruelty was not associated with domestic violence when maltreatment was controlled for. In disadvantaged families, 6 in 10 children cruel to animals had been maltreated. In other families, the likelihood of maltreatment increased with age (from 3 in 10 5-year-olds to 4.5 in 10 12-year-olds) and persistence (4.5 in 10 of those persistently cruel). Although childhood cruelty to animals is associated with maltreatment, not every child showing cruelty had been maltreated. The usefulness of cruelty to animals as a marker for maltreatment increases with the child's age, persistence of behavior, and poorer social background.     

Testing Expert-Based Versus Student-Based Cognitive Models for a Grade 3 Diagnostic Mathematics Assessment

The purpose of this study was to evaluate the adequacy of three cognitive models, one developed by content experts and two generated from student verbal reports for explaining examinee performance on a grade 3 diagnostic mathematics test. For this study, the items were developed to directly measure the attributes in the cognitive model. The performance of each cognitive model was evaluated by examining its fit to different data samples: verbal report, total, high-, moderate-, and low ability using the Hierarchy Consistency Index (Cui & Leighton, 2009), a model-data fit index. This study utilized cognitive diagnostic assessments developed under the framework of construct-centered test design and analyzed using the Attribute Hierarchy Method (Gierl, Wang, & Zhou, 2008; Leighton, Gierl, & Hunka, 2004). Both the expert-based and the student-based cognitive models provided excellent fit to the verbal report and high ability samples, but moderate to poor fit to the total, moderate and low ability samples. Implications for cognitive model development for cognitive diagnostic assessment are discussed.     

‘It didn’t really change my opinion’: exploring what works,what doesn’t and why in a school science,technology, engineering and mathematics careers intervention

Background: It is widely agreed that more needs to be done to improve participation in science, technology, engineering and mathematics (STEM). Despite considerable investment in interventions, it has been difficult to discern their effectiveness and/or impact on participation.

Purpose: This paper discusses findings from a six-week pilot STEM careers intervention that was designed and overseen by a teacher from one London girls’ school. We reflect on the challenges for those attempting such interventions and the problems associated with evaluating them.

Sample: Data were collected from Year 9 students (girls aged 13–14 years) at the school.

Design and methods: Pre- and post-intervention surveys of 68 students, classroom observations of intervention activities, three post-intervention discussion groups (five or six girls per group) and a post-intervention interview with the lead teacher were conducted.

Results: Although the intervention did not significantly change students’ aspirations or views of science, it did appear to have a positive effect on broadening students’ understanding of the range of jobs that science can lead to or be useful for.

Conclusions: Student aspirations may be extremely resistant to change and intervention, but students’ understanding of ‘where science can lead’ may be more amenable to intervention. Implications are discussed, including the need to promote the message that science is useful for careers in and beyond science, at degree and technical levels.