Dialect variation,dialect-shifting,and reading comprehension in second grade

The purpose of this study was to examine second graders’ (n = 680) changing spoken nonmainstream American English (NMAE) use in relation to their oral language and reading comprehension achievement. Fall NMAE production was negatively associated with fall achievement scores. NMAE production generally decreased from fall to spring. Students who qualified for the US Free and Reduced Lunch program (FARL) and who had stronger language skills were more likely to decrease their NMAE use (i.e., dialect shifting) than their peers who did not qualify for FARL or their peers with weaker language skills. Dialect shifting for a sub-sample of 102 students who used substantial amounts of NMAE at the beginning of the school year was predicted by school context, controlling for reading and language skills—in general, students who attended more affluent schools dialect shifted to a greater extent than did their peers who attended higher poverty schools. Greater dialect shifting in this group predicted gains in reading comprehension from fall to spring.     

Peer collaboration: accommodating students with mild learning and behavior problems

This study examined the effectiveness of a structured problem-solving process, peer collaboration, as a means of assisting classroom teachers in developing and implementing alternative interventions for students with mild learning and behavior problems. The study included 48 elementary and junior high school teachers in the intervention group and 43 elementary school teachers in a comparison group. Results indicate that teachers in the intervention group increased their tolerance for the range of students' cognitive abilities. These teachers reconceptualized their understandings of classroom problems and successfully implemented interventions for 86% of the 70 problems they attempted to solve.     

The Trauma Symptom Checklist for Young Children (TSCYC): reliability and association with abuse exposure in a multi-site study

OBJECTIVE: The Trauma Symptom Checklist for Young Children (TSCYC) is a 90-item caretaker-report measure of children's trauma- and abuse-related symptomatology. It contains two reporter validity scales and eight clinical scales [Post-traumatic Stress-Intrusion (PTS-I), Post-traumatic Stress-Avoidance (PTS-AV), Post-traumatic Stress-Arousal (PTS-AR), Post-traumatic Stress-Total (PTS-TOT), Sexual Concerns (SC), Dissociation (DIS), Anxiety (ANX), Depression (DEP), and Anger/Aggression (ANG)], as well as an item assessing hours per week of caretaker contact with the child. This paper introduces the TSCYC and describes its psychometric properties in a multisite validity study. METHOD: A total of 219 TSCYCs administered by six clinician/researchers across the United States were analyzed for scale reliability and association with several types of childhood maltreatment. RESULTS: The TSCYC clinical scales have good reliability and are associated with exposure to childhood sexual abuse, physical abuse, and witnessing domestic violence. The PTS-I, PTS-AV, PTS-AR, and PTS-TOT scales were most predictive, followed by SC in the case of sexual abuse and DIS in the case of physical abuse. There were a small number of age, sex, and race effects on TSCYC scores. CONCLUSIONS: The TSCYC appears to have reasonable psychometric characteristics, and correlates as expected with various types of trauma exposure. Subject to continued validation and the development of general population norms, its use as a clinical measure is supported.     

Why Do Students Misbehave? An Initial Examination of Antecedents to Student Misbehavior

The current study utilized constant comparative thematic analysis to uncover antecedents of student misbehavior from the perspective of collegiate instructors. Results indicated nine distinct antecedents of student misbehavior that were classified into three distinct categories: deficiency antecedents, belief antecedents, and external antecedents. These findings extend previous research on antecedents of student misbehavior by forwarding a more nuanced classification structure that centers on attribution theory as an explanatory mechanism. Overall, by understanding the potential reasons that underlie student misbehavior, educators can create more meaningful and enriching experiences for students by thoughtfully addressing these problematic behaviors and the underlying conditions that promote them.     

Algorithmics and programming in the school mathematics curriculum: support is waning - is there still a case to be made?

The contribution of programming in the learning of school mathematics has been demonstrated in numerous project and research settings. However, it would appear that this activity has failed to permeate the system on any large and systemic scale.I suggest here that one reason for the current situation is that the exciting developments have not themselves been a required component embedded in a major curriculum theme. Further, the position that the programming environments themselves, e.g., Logo microworlds, would become the school mathematics curriculum has clearly failed to gain the support of the educational system. However, discrete mathematics and algorithmics, a strand within discrete mathematics, provides a natural home for programming. This in turn supports the use of a programming language in mathematical contexts for which pupil designed algorithms can be used to explore concepts and relationships.     

The empirical derivation of equations for predicting subjective textual information

Parameters pertaining to information processing by human beings have, in the past, been determined by learning and memory experiments with nonsense syllables, number sequences, etc. However, in the real world we are concerned with the processing of meaningful information, not senselles texts. Therefore, the determination of subjective information directly from meaningful material becomes extremely important in the instruction-learning process.This study derives an equation for predicting the subjective textual information contained in a text of material written in the English language. Specifically, this investigation describes, by a mathematical equation, the relationship between the subjective information content of written textual material and the relative number of errors committed by a learner when asked to predict, letter by letter, the content of given textual material. This relationship shows that the subjective information of a given text for a specific learner is directly proportional to the number of wrongly guessed signs made by that learner. This is expressed mathematically by% MathType!MTEF!2!1!+- % feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn % hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr % 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9 % vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x % fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamysaiabg2 % da9iaaiodacaGGUaGaaGymaiaabccacaWGfbaaaa!3B57! \[ I = 3.1{\rm{ }}E \] 0935 0212 VWhere: I = Information in bits E = Number of wrongly guessed signsThe application of Shannon's guessing procedure (1951) in this study permits the measurement of the subjective information of a given text for a specific learner. Unlike senseless texts, the subjective information of a meaningful text varies from learner to learner. Therefore, the derived equation permits the measurement of information in terms of a value that is dependent not only upon the inherent qualities of the subject matter, but also upon the internal state of the learner.The derived equation for the English language is then compared to an equation derived by Weltner (1967) for the German language and found to be remarkably similar.This work was, in part, supported by United States Air Force Contract F41609-71-C-0027 entitled Flying Training Research on Airborne and Ground Training Systems, and a research grant from Arizona State University.     

Indexed Captioned Searchable Videos: A Learning Companion for STEM Coursework

Videos of classroom lectures have proven to be a popular and versatile learning resource. A key shortcoming of the lecture video format is accessing the content of interest hidden in a video. This work meets this challenge with an advanced video framework featuring topical indexing, search, and captioning (ICS videos). Standard optical character recognition (OCR) technology was enhanced with image transformations for extraction of text from video frames to support indexing and search. The images and text on video frames is analyzed to divide lecture videos into topical segments. The ICS video player integrates indexing, search, and captioning in video playback providing instant access to the content of interest. This video framework has been used by more than 70 courses in a variety of STEM disciplines and assessed by more than 4000 students. Results presented from the surveys demonstrate the value of the videos as a learning resource and the role played by videos in a students learning process. Survey results also establish the value of indexing and search features in a video platform for education. This paper reports on the development and evaluation of ICS videos framework and over 5 years of usage experience in several STEM courses.