What are they?

四个好朋友各有不同的工作,究竟谁是教师?谁是医生?谁是农民?谁是司机?你能根据这篇短文做出判断吗?     

Women planning to major in computer science: Who are they and what makes them unique?

Despite the current growing popularity of the computer science (CS) major, women remain sorely underrepresented in the field, continuing to earn only 18% of bachelor’s degrees. Understanding women’s low rates of participation in CS is important given that the demand for individuals with CS training has grown sharply in recent years. Attracting and retaining more women to high-paying fields like CS may also help narrow the gender pay gap. Further, it is important that women participate in developing new technology so that technology advances serve the needs of both women and men. This paper explores the background characteristics, career aspirations, and self-perceptions of 1636 female first-year college students in the United States who intend to major in CS and compares them with 4402 male CS aspirants as well as with 26,642 women planning to major in other STEM sub-fields. The findings reveal a unique profile of women who pursue the CS major and notes many significant differences between men and women in CS and between women in CS and those in other STEM fields. For instance, women in CS tend to earn lower high school grades than women in other STEM fields, but earn higher SAT verbal scores. They also rate themselves higher than men in CS and women in other STEM fields on measures of their artistic ability, but rate themselves lower on other self-ratings, including academic and leadership ability. Further, women in CS are more likely to be undecided in their career plans than men in CS and women in other STEM fields. Understanding the unique characteristics of women in CS will help inform policies and recruitment programs designed to address the gender gap in computing.     

What Happens When Learning Takes Place?

When asked "What happens when learning takes place?" most people, including those involved in education, find it difficult to provide a satisfactory answer. Nevertheless, assumptions about what happens have a bearing on what we (as learners, educators, researchers, and policy-makers) do, and on our answers to other questions about learning, teaching, and education. The paper addresses the title question on the basis of an analysis of the logic of learning. The approach is philosophical rather than physiological or sociological, and draws on the work of Karl Popper. The outcome is a radical, universally applicable theory which identifies a set of features common to all processes in which learning can be said to take place. The theory has significant implications for educational policy and practice: it draws attention to factors which inhibit learning and is suggestive of ways in which learning can be promoted.     

Tensions in the Biology Laboratory: What are they?

The purpose of this paper is to identify tensions in teacher–student interaction in a high school biology laboratory. Using micro‐analytic analysis of classroom talk, the interaction between the students and a teacher working in the biology laboratory session on Reproduction in Plants is studied. The two tensions highlighted here are tension with textbooks as authority and tension with the teacher as authority. Tension with textbooks as authority originates from an over‐reliance on generalizations expressed in textbooks resulting in the inability of learners to appreciate alternatives and exceptions. Tension with the teacher as authority stems from the task design and varying levels of control that a teacher has over the learner and the learning process. The genesis of the two forms of tensions in the laboratory is different and they are tackled differently by the participants to yield different outcomes. While science educators have conducted intensive research over the past two decades on the effects of school science laboratory work on students’ learning of science, more can be done in the specific area of teacher–student interaction. This paper offers some insights into the interaction between a teacher and her students in a laboratory as they learn biology. An increased understanding of the impact of the tensions in a science laboratory might help to bring about realization of the true spirit and intent of school science laboratory experiences.     

Excellence gaps: what they are,why they are bad,and how smart contexts can address them … or make them worse

Every country – and even every community – has populations of students who severely underperform relative to other groups and to their own potential. These performance differences are generally called achievement gaps, and they tend to focus on gaps at basic levels of academic proficiency. But such gaps also exist among the highest levels of achievement, a problem labeled excellence gaps. Recent research provides evidence that these differential achievement effects are due – at least in part – to debilitating contextual factors, such as poverty, negative peer pressure, and discrimination. Given the increasingly recognizable “digital turn” in the classroom, access to and thoughtful use of emergent technologies could play a role in shrinking excellence gaps. Unfortunately, research shows such technologies disproportionately exist in relatively wealthy, predominantly white schools. We identify the potential relationship between lack of availability to technology and widening excellence gaps.     

Learning to collaborate in a peer-tutoring situation: Who learns? What is learned?

The issue of “collaborating to learn” is tackled by analysing a peer-tutoring situation aimed at providing help to students with learning difficulties. The corpus consists of a six-lesson cycle between a 15 year-old student and her 14 year-old tutee who has difficulties with German. The analysis shows that the tutor and the tutee interactively construct the asymmetry and complementarity of their roles. As a consequence, what seemed at first sight to be the tutor’s discursive and guidance abilities appears, upon closer examination, to be the result of the students’ interactional work. In this particular case, the mode of collaboration which is achieved results in the tutor taking charge of the major part of the cognitive work.     

Neoliberal Exclusion and the Fantasy of Competition: What are Children Learning from Monsters University?

The Disney/Pixar film, Monsters University (2013) was a tremendous financial success. As a film written entirely about college students and their quest for social and economic attainment, but marketed primarily to children and adolescents, its messages about the purpose of college and the college experience deserve close examination given its widespread popularity. Theorists have argued that popular fiction (Tompkins, 1986 Tompkins, J. (1986). Sensational designs: The cultural work of American fiction, 1790–1860. New York, NY: Oxford University Press. [Google Scholar]), especially film (Giroux, 1996 Giroux, H. A. (1996). White panic and the racial coding of violence. Fugitive cultures: Race, violence, and youth, 27–54. [Google Scholar], 2008 Giroux, H. A. (2008). Hollywood film as public pedagogy: Education in the crossfire. Afterimage, 35(5), 7–13. [Google Scholar]; Gregory, 2007 Gregory, M. (2007). Real and teaching and real learning vs. narrative myths about education. Arts and Humanities in Higher Education, 6(1), 7–27. https://doi.org/10.1177/1474022207072197.[Crossref] , [Google Scholar]; Peterson, 2009), is a powerful vehicle for creating, reflecting, and reinforcing social values and norms. This article examines the film closely to challenge the many explicit and implicit stereotypes it portrays regarding meritocracy, elitism, and gender and reflects on the role of friendship in a neoliberal society.     

Learning and the pandemic: What’s next?

PROSPECTS - This article highlights key points with respect to each of the following: 1) School systems around the world were stagnant before Covid-19 and had been for some time; 2) Therefore there...     

Who Prefers What? Disciplinary Differences in Students' Preferred Approaches to Teaching and Learning Styles

This study develops a tool for identifying students' preferred teaching approaches, with high internal consistency for the scales involved. We examined these preferences in relation to students' approaches to learning and to two academic disciplines with contrasting academic environments. The sample consisted of 175 engineering and education undergraduates at a major university in Israel. Responses to our questionnaire revealed students' preferences for four approaches that correspond to the four main instructional approaches that had been identified in research based on teachers' sources. Students' most favored teaching approach is the lecturer who is organized, clear, and interesting, and the second, with a large gap from the first, is the instructor who provides for students' needs in learning. The two approaches least favored are information-transmission and promotion of self-regulation. Students with different approaches to learning preferred teaching approaches that best served their learning approaches. There were few discipline-related differences in students' preferences, in spite of the very different learning environments. However, all participants preferred teaching approaches that they perceived as beneficial for learning but that they had not often experienced, if at all.     

Felder and Silverman's Index of Learning Styles and Honey and Mumford's Learning Styles Questionnaire: How do they compare and do they predict academic performance?

Samples of engineering and business students at undergraduate, postgraduate and post-experience levels at two UK universities completed the Index of Learning Styles (ILS) (N = 284) or the (Learning Styles Questionnaire LSQ) (N = 182) and a biographical data questionnaire. Broad psychological aspects of the two learning style instruments are examined and compared. Psychometric properties of the instruments, including factor structure, internal reliability and inter-scale correlation are analysed. Potential limitations are commented on, in particular those related to the construct validity and relatively low internal reliability of the ILS scales (alpha = 0.41 to 0.65). These compare with alphas of 0.59 to 0.74 for the LSQ. Relationships between the scales are discussed and a circumplex arrangement of the LSQ is proposed. Proposals for augmenting the circumplex are made. Academic performance results and scores on each of the two instruments are compared. The general lack of significant correlations between learning style scores and performance in these samples is discussed. Conclusions are drawn about the disappointing psychometric robustness of the measures, the activity-centred nature of learning styles and the advantages of viewing styles as a circumplex.     

Learning by drawing: When is it worth the time and effort?

Two experiments compared the effects of learning by drawing to studying instructor-provided visuals on learning outcomes, learning time, and cognitive load. College students studied a text on the human circulatory system and completed comprehension and transfer tests. In Experiment 1 (N = 107), students studied the text with provided visuals (provided visuals) or generated their own drawings from the text with text-based support (verbally-supported drawing) or without support (unsupported drawing). Results showed that while the verbally-supported drawing condition spent significantly more time and experienced significantly higher cognitive load than the provided visuals condition, there were no differences across the three conditions in learning outcomes. In Experiment 2 (N = 85), students studied the text with provided visuals (provided visuals) or generated drawings from the text with provided visuals as feedback (visually-supported drawing). Results showed that the visually-supported drawing condition spent significantly more time and experienced significantly higher cognitive load than the provided visuals condition but also performed significantly better than the provided visuals condition on the comprehension test. These findings suggest generating drawings prior to studying provided visuals is worth the time and effort.     

What are “Complex Case Discussions” and how do they impact on key-workers?

Previous research has not focussed on defining the abstract, transferable processes which make ongoing consultation successful. This study aimed to explore and define the nature and impact of weekly consultations, or “Complex Case Discussions” (CCDs), with key-workers from two family intervention projects which were facilitated by educational psychologists (EPs) within one local authority (LA). Semi-structured interviews were carried out with key-workers. These were first transcribed and then analysed using thematic analysis. The themes identified fell into three overarching themes: “Process”, “People” and “Impact”. CCDs may lead to a quicker turnaround of families and to more sustainable changes. The key, transferable processes which make CCDs successful and valuable were identified as: time, hypothesising, a tailored approach and questioning assumptions. Due to the small-scale nature of this study, future research may look to apply these principles more widely and evaluate the impact of doing so.     

Verbal and visuospatial short-term and working memory in children: are they separable?

This study explored the structure of verbal and visuospatial short-term and working memory in children between ages 4 and 11 years. Multiple tasks measuring 4 different memory components were used to capture the cognitive processes underlying working memory. Confirmatory factor analyses indicated that the processing component of working memory tasks was supported by a common resource pool, while storage aspects depend on domain-specific verbal and visuospatial resources. This model is largely stable across this developmental period, although some evidence exists that the links between the domain-specific visuospatial construct and the domain-general processing construct were higher in the 4- to- 6-year age group. The data also suggest that all working memory components are in place by 4 years of age.