Fathers' coping resources and children's socioemotional adjustment among children with learning disabilities

This study examined a cumulative model of vulnerability and protective factors at the individual level (children's attachment relationships with father and children's sense of coherence) and at the family level as manifested by fathers' coping resources (fathers' sense of coherence, fathers' active and avoidant coping strategies) in helping to explain differences in socioemotional and behavioral adjustment among children at the age 8 to 12 years with learning disabilities (LD) and or with typical development. The sample included 205 father-child dyads: 107 fathers and their children having LD and 98 fathers and their children with typical development, from the same public elementary schools. Preliminary analyses indicated significant group differences on all the children's measures as well as on fathers' avoidant coping strategies. Path analysis examined the multidimensional risk model for the LD and non-LD groups. The study found a high fit between the theoretical model and the empirical findings as well as a different pattern of relationship between the model's components for the two populations studied. Discussion focuses on understanding the unique value of vulnerability and protective factors at the individual and family levels on children's well-adjusted functioning.     

The effects of metacognitive instruction embedded within an asynchronous learning network on scientific inquiry skills

The study is aimed at investigating the effects of four learning methods on students’ scientific inquiry skills. The four learning methods are: (a) metacognitive‐guided inquiry within asynchronous learning networked technology (MINT); (b) an asynchronous learning network (ALN) with no metacognitive guidance; (c) metacognitive‐guided inquiry embedded within face‐to‐face (F2F) interaction; and (d) F2F interaction with no metacognitive guidance. The study examined general scientific ability and domain‐specific inquiry skills in microbiology. Participants were 407 10th‐grade students (15 years old). The MINT research group significantly outperformed all other research groups, and F2F (group d) acquired the lowest mean scores. No significant differences were found between research groups (b) and (c). MINT makes significant contributions to students’ achievements in designing experiments and drawing conclusions. The novel use of metacognitive training within an ALN environment demonstrates the advantage of enhancing the effects of ALN on students’ achievements in science.     

Book Review: A fruitful resource emerging from collaboration within an ERME topic conference. Alison Clark-Wilson,Ana Donevska-Todorova,Eleonora Faggiano,Jana Trgalová and Hans-Georg Weigand (Eds.) (2021) Mathematics education in the digital age: learning,practice and theory

Educational Studies in Mathematics -     

Online example-based assessment as a resource for teaching about quadrilaterals

Educational Studies in Mathematics - We used an assessment platform to study the potential of rich student data obtained online to influence classroom instruction and help teachers respond to...     

Subtypes of reading disability in a shallow orthography: a double dissociation between accuracy-disabled and rate-disabled readers of Hebrew

Whereas most English language sub-typing schemes for dyslexia (e.g., Castles & Coltheart, 1993) have focused on reading accuracy for words varying in regularity, such an approach may have limited utility for reading disability sub-typing beyond English in which fluency rather than accuracy is the key discriminator of developmental and individual differences in reading ability. The present study investigated the viability of an accuracy/fluency-based typology in a regular orthography, pointed Hebrew. We sought evidence of true or “hard” accuracy/rate subtypes in the strict (double dissociation) sense of selective impairment on only one dimension in the presence of normal levels of performance on the other dimension. In a nationally representative sample of fourth graders, we were able to identify a specific accuracy-disabled sub-group as well as an equally specific rate-disabled subgroup. Validating this subdivision, we show that the nature of reading performance in these subgroups and their converging cognitive/linguistic profiles are unique and distinctive on variables other than the measures used to define them. While the rate-specific disability appeared to reflect a general deficit in speed of processing affecting reading rate, and rapid automatized naming of print-related material, the accuracy-only disability subgroup displayed selective deficits in phonological awareness and morphological knowledge. Biosocial, demographic, and instructional factors, furthermore, did not explain the sub-group differences. It appears that both these subtypes are equally prevalent each counting close to 10% of the population.     

STUDENTS’ OPPORTUNITIES TO ENGAGE IN TRANSFORMATIONAL ALGEBRAIC ACTIVITY IN DIFFERENT BEGINNING ALGEBRA TOPICS AND CLASSES

This study compares students’ opportunities to engage in transformational (rule-based) algebraic activity between 2 classes taught by the same teacher and across 2 topics in beginning algebra: forming and investigating algebraic expressions and equivalence of algebraic expressions. It comprises 2 case studies; each involves a teacher teaching in two 7th grade classes. All 4 classes used the same textbook. Analysis of classroom videotapes (15–19 lessons in each class) revealed that the opportunities to engage in transformational algebraic activity related to forming and investigating algebraic expressions were similar in each teacher’s 2 classes. By contrast, substantial differences were found between 1 teacher’s classes with regard to the opportunities to engage in transformational algebraic activity related to equivalence of algebraic expressions. The discussion highlights the contribution of the interplay among the mathematical topic, the teacher, and the class to shaping students’ learning opportunities. Specifically, the mathematical topic appeared to play a prominent role in certain situations, with the topic involving deductive reasoning generating high variation in classes of 1 teacher but not in the other’s.

     

MENTORING IN GERONTOLOGY EDUCATION: NEW GRADUATE STUDENT PERSPECTIVES

Involvement in a mentor-student relationship is an invaluable experience for new graduate students. These students frequently have opportunities and experiences provided to them by their mentor that may be otherwise unattainable. Mentoring can help new graduate students develop academically, personally, and professionally. This article describes mentoring in gerontology education from the perspectives and personal experiences of new graduate students in sociology and gerontology. Discussed in this article are types and phases of mentoring, the need for a mentor in gerontology education, selection a mentor, and issues related to mentoring and career advancement.     

Secondary teachers’ knowledge of elementary number theory proofs: the case of general-cover proofs

In light of recent reform recommendations, teachers are expected to turn proofs and proving into an ongoing component of their classroom practice. Two questions emerging from this requirement are: Is the mathematical knowledge of high school teachers sufficient to prove various kinds of statements? Does teachers’ knowledge allow them to determine the validity of an argument made by their students? The results of this study, in which 50 secondary school teachers participated, point to a positive answer to the first question in the framework of elementary number theory (ENT). However, the picture is more complex with respect to the second one. Results indicated that some teachers may over-value the generality of symbolic mode of representation and under-value the generality of verbal ones. Possibly, the verbal representation of an argument is less transparent and more difficult to understand.     

Discourse-aware rumour stance classification in social media using sequential classifiers

Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using individual tweets as classifier inputs, here we report on the performance of sequential classifiers that exploit the discourse features inherent in social media interactions or ‘conversational threads’. Testing the effectiveness of four sequential classifiers – Hawkes Processes, Linear-Chain Conditional Random Fields (Linear CRF), Tree-Structured Conditional Random Fields (Tree CRF) and Long Short Term Memory networks (LSTM) – on eight datasets associated with breaking news stories, and looking at different types of local and contextual features, our work sheds new light on the development of accurate stance classifiers. We show that sequential classifiers that exploit the use of discourse properties in social media conversations while using only local features, outperform non-sequential classifiers. Furthermore, we show that LSTM using a reduced set of features can outperform the other sequential classifiers; this performance is consistent across datasets and across types of stances. To conclude, our work also analyses the different features under study, identifying those that best help characterise and distinguish between stances, such as supporting tweets being more likely to be accompanied by evidence than denying tweets. We also set forth a number of directions for future research.