Review of issues in black dialect; a proposed two-way bilingual educational approach; and considerations for the congenitally deaf child

The deficit theory and the difference theory of linguistic competence are defined and reviewed. Evidence is drawn upon to support the notion of linguistic differences between the dialect of black children and that of the majority society. Implications for educational methods are discussed, culminating in a proposed “two-way” bilingual approach. The difference and deficit viewpoints and the proposed approach are applied to the testing, education, and social functioning of congenitally deaf children.     

Psychosocial Hazards in UK Universities: Adopting a Risk Assessment Approach

Drawing on the findings of a recent national survey, this article examines the extent to which higher education institutions in the United Kingdom meet the minimum standards recommended by the Health and Safety Executive (HSE) for the management of work‐related stressors. A comparison is also made between the average weekly working hours reported in the current survey with those found in two previous studies of the higher education sector (1998 and 2004). A sample of 9,740 academic and academic‐related employees working in higher education institutions in the UK completed a measure of seven job‐related stressors (or psychosocial hazards) (that is, demands, control, support from colleagues and managers, interpersonal relationships, role clarity and involvement in organisational change). With one exception (job control), levels of job‐related stressors in the higher education sector exceeded the benchmarks stipulated by the HSE. Stressors relating to change, role, job demands and managerial support were particularly high. Recommendations made by the HSE for interim and longer‐term targets to be achieved for the management of each stressor category are provided. Findings also revealed that average working hours remain high in the sector, with many employees continuing to exceed the weekly limit set by the UK Working Time Directive. The utility of the HSE approach in higher education institutions and ways in which the sector might work towards meeting the HSE management standards and consequently enhance employee well‐being are considered.     

Judgment‐Based Scoring by Teachers as Professional Development: Distinguishing Promises from Proof

The engagement of teachers as raters to score constructed response items on assessments of student learning is widely claimed to be a valuable vehicle for professional development. This paper examines the evidence behind those claims from several sources, including research and reports over the past two decades, information from a dozen state educational agencies regarding past and ongoing involvement of teachers in scoring‐related activities as of 2001, and interviews with educators who served a decade or more ago for one state's innovative performance assessment program. That evidence reveals that the impact of scoring experience on teachers is more provisional and nuanced than has been suggested. The author identifies possible issues and implications associated with attempts to distill meaningful skills and knowledge from hand‐scoring training and practice, along with other forms of teacher involvement in assessment development and implementation. The paper concludes with a series of research questions that—based on current and proposed practice for the coming decade—seem to the author to require the most immediate attention.     

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.