The negative effect of school-average ability on science self-concept in the UK,the UK countries and the world: the Big-Fish-Little-Pond-Effect for PISA 2006

Research on the relation between students’ achievement (ACH) and their academic self-concept (ASC) has consistently shown a Big-Fish-Little-Pond-Effect (BFLPE); ASC is positively affected by individual ACH, but negatively affected by school-average ACH. Surprisingly, however, there are few good UK studies of the BFLPE and few anywhere in the world based on science self-concept (S-ASC). Addressing this substantive limitation in existing research with data from PISA 2006, we extend new multigroup doubly-latent multilevel structural equation models – a substantive-methodological synergy. BFLPE predictions for S-ASC are supported for: the total international sample; the total UK sample; each of the four UK countries considered separately. The BFLPE was marginally larger in the UK than the international sample. However, consistent with the selective nature of school systems in the UK, the BFLPE was larger in Northern Ireland and, to a lesser extent, England than in Scotland or Wales.     

Applying a principle of explicability to AI research in Africa: should we do it?

Ethics and Information Technology - Developing and implementing artificial intelligence (AI) systems in an ethical manner faces several challenges specific to the kind of technology at hand,...     

Are Elementary Preservice Teachers Floating or Sinking in Their Understanding of Buoyancy?

International Journal of Science and Mathematics Education - This research study investigated conceptions about buoyancy held by 55 elementary preservice teachers enrolled in a science methods...     

Self‐Compassion Among College Counseling Center Clients: An Examination of Clinical Norms and Group Differences

There has been growing interest in the mental health benefits of self‐compassion. This study was designed to establish norms on the Self‐Compassion Scale–Short Form, a popular measure of self‐compassion for individuals seeking counseling, and to examine group differences in self‐compassion based on gender, race/ethnicity, sexual orientation, previous counseling, and psychiatric medication use. Data for this study were collected through the Center for Collegiate Mental Health, a practice‐research network of more than 240 college and university counseling centers.     

Parental Attitudes Regarding School-Based Sexuality Education in Utah

Sexuality education programs can be broadly categorized as either risk-avoidance or risk-reduction approaches. Health educators in Utah public schools must teach a state mandated risk-avoidance curriculum which prohibits the advocacy or encouragement of contraception. Multiple national surveys indicate that parents prefer a risk-reduction approach to sexuality education that promotes abstinence and the use of condoms or contraception for prevention of unwanted pregnancy and sexually transmitted infection. To date, no survey of Utah parents has been conducted.

This study utilized an Internet survey to gather data from 344 Utah parents to analyze their preferences regarding school-based sexuality education, sexuality topics, and support for objectives from the National Sexuality Education Standards. The vast majority of Utah parents surveyed support a risk-reduction approach to sexuality education, a wide variety of sexuality topics, and the majority of National Sexuality Education Standards. Statistically significant differences were identified by parents’ education, income, attendance at religious services, and political affiliation. Results support that Utah laws and education policies should be reexamined to provide for instruction that aligns with professional recommendations, best-practice recommendations based on peer-reviewed research, parental attitudes, and the needs of Utah teens.     

A Behind‐the‐Scenes Guide to School‐Based Research

Schools are an important context for both basic and applied scientific research. Unlike the laboratory, however, the physical and social conditions of schools are not under the exclusive control of scientists. In this article, we liken collecting data in schools to putting on a theatrical production. We begin by describing the large cast of characters whose collaborative efforts make school‐based research possible. Next, we address the critics, including the university Institutional Review Board (IRB) and school administrators, whose feedback often improves the final study design. We then turn our attention to set building, stage directions, and rehearsals—key steps in the iterative process of refining study procedures. We end with a discussion of the day of data collection itself and activities that take place after the curtain drops. Throughout, we make recommendations based on our recent experience collecting data at several high schools.     

Assessment in early childhood education: threats and challenges to effective assessment of immigrant children

Research indicates that early childhood professionals gather assessment information to monitor child development and learning, to guide curriculum planning and decision making, to identify children who may have special needs, to report and communicate with others, and to evaluate programmes. A review of literature indicates that immigrant children have low achievement assessment scores as compared with mainstream American children, also immigrant children enter kindergarten already behind their mainstream American peers. The current study explored early childhood teachers' perceptions of assessment measures used with immigrant children and the challenges faced when assessing immigrant children. Findings of the study reveal that there are several factors that make early childhood teachers fail to gather effective assessment information from immigrant children. Unless the factors are addressed, planning for effective curriculum for immigrant children using assessment data will continue to be a challenge for early childhood teachers. Factors that continue to affect gathering effective assessment data from immigrant children include language barriers, cultural clashes, socio‐economic factors, and culturally and linguistically biased assessment measures.