Fakultät für Sonderpädagogik
Refine
Document Type
- Working Paper (7)
Language
- English (7) (remove)
Has Fulltext
- no (7)
Is part of the Bibliography
- no (7)
Keywords
- Sonderpädagogik (3)
- Intelligenz (2)
- Erziehungswissenschaft (1)
- Intelligenztest (1)
- Kaufman Assessment Battery for Children-Second Edition; KABC-II; confirmatory factor analysis; cognitive assessment; preschool assessment; intelligence test; factorial validity (1)
- Kommunikationsförderung (1)
- Kommunikationshilfe (1)
- Lernschwäche (1)
- Lesekompetenz (1)
- Psychologie (1)
Institute
The saving of previously encoded information boosts both memory for subsequent information (saving-enhanced memory; SEM) as well as cognitive performance in general (saving-enhanced performance; SEP). These findings have been replicated in a setting that involves the assistance by an intelligent software that automatically structures and saves work content in an interactive sidebar. It is assumed that beneficial effects on cognitive performance due to (automatic) saving are caused by a reduction in current workload by means of cognitive offloading. We tested this assumption by measuring neural activity in the dorsolateral prefrontal cortex (DLPFC) via functional near infrared spectroscopy (fNIRS)—once after saving and once after deleting of previously collected information that had to be recalled later-on. On a behavioral level, there was a brief benefit of saving. However, cognitive offloading became most apparent on a neural level: after saving, participants showed significantly lower activation in the right DLPFC. Also, the more participants benefited from cognitive offloading, the more they were able to re-access previously collected, saved information. Thus, fNIRS results indicated reduced mental load after saving, confirming the assumption that saving triggers cognitive offloading.
For some people with strong motor impairments, controlling a computer with theeyes is the only possibility for human-computer interaction. In addition, gaze controlis becoming a new option as an input device for the general population as wellbecause of the increasing availability of eye-tracking technology. Yet, little is knownabout additional cognitive demands involved in gaze control and how to handlepotentially high demands when using the eyes not only for perception but also foraction. The present study shows that cognitive offloading improves performancewhen using gaze control. Memory for to-be-studied items benefitted significantlyfrom saving another set of items just studied before for later restudy. Employing cog-nitive offloading in a targeted manner may be a useful means to assist in mastering eye-gaze control.
The factor structure of the German edition of the KABC-II for ages 5 and 6 was examined in a clinical sample. Participants were 450 children ages 5 and 6 who had been assessed due to various behavioral, emotional, or developmental disorders in five Centers for Social Pediatrics (SPCs). Confirmatory factor analyses of the standard test structure including core subtests of the Cattell-Horn-Carroll model and of the Luria model were conducted using maximum likelihood estimation. Several modified structures derived from CHC ability classifications were evaluated. Second-order factor structures corresponding to the standard test structure of the KABC-II demonstrated an adequate global fit for both theoretical models and were superior to unidimensional models. The fit of bifactor models was comparable to second-order models. In all subtests, the general factor accounted for more variance than group factors (broad abilities). However, in more than half of the subtests, unique variance explained the largest portion of the variance. The scale Learning/Glr showed a lack of convergent validity. At age 6, a model omitting subtest Rover significantly improved the fit. In the combined sample of 5- and 6-year-old children, both second-order and bifactor models with nine subtests demonstrated excellent fit
Two experiments examined effects of including an information about a disability in a person description on memory about that person’s traits. In Experiment 1, this information impaired correct recognition of traits of a person that had been described in correspondence to gender stereotypes. In Experiment 2, it induced false memories in accordance with stereotypes about people with disabilities. Participants’ false alarms for traits belonging to the dimension of warmth increased, whereas false alarms for traits belonging to the dimension of competence decreased. Thus, activating stereotypes through a disability prime influenced what could be recognized correctly or falsely was assumed to be recognized about a person.
Retrieval-based learning has been investigated in various populations. The present study examined retrieval-based learning in a sample of students at a special-needs school with educational tracks for learning and mental development. In addition, a comparison group of students at a regular school was examined. Learning conditions were manipulated within participants. In a first session, participants either received restudy cycles only, or they received alternating test and restudy cycles. A second session then comprised the opposite form of practice. In both sessions, a final test assessed memory after a short distractor phase. This procedure was the same in two experiments but with different kinds of item material. For both kinds (images and image-word pairs), a testing effect occurred, that is higher recall of tested items. These results show that lower cognitive ability or lack of experience with regularly being tested in school do not prevent students from benefiting from retrieval-based learning.
Reading research shows that phonological decoding skills and intelligence work mostly independent from each other. However, there is a variety of results on the relationship between reading skills and IQ measures. Studies in this field mainly focus on students with reading disabilities (RD) or students with intellectual disabilities (ID) and less on pupils with Special Educational Needs in Learning (SEN-L). We performed a secondary data analysis to evaluate differences in reading skills and fluid intelligence between students with (N = 144) and without (N = 157) SEN-L and the relationship between SEN-L, reading skills, and fluid intelligence. Participants completed a standardized screening of reading skills (SLS 2-9) and a German culture fair intelligence test (CFT 20-R). Students with SEN-L had lower scores in both tests. Correlations between both scores were smaller within the two groups than in the total sample. Implications of the findings are discussed.
In the educational context, graph literacy describes the competence to read, comprehend, and interpret formative assessment data in terms of data-based decision-making (DBDM) in order to derive and justify individual adaptations of instruction based on them. Since misconceptions may arise in predicting a future learning progress due to the characteristics of the data base as well as the approach to graph literacy, effective supports are needed, especially for inexperienced teachers. We present two interrelated studies to broaden the field of support in graph literacy. In Study I, graph literacy procedures are collected from N = 196 university student teachers using an online survey that includes six case vignettes with learning progress prediction tasks. Results show that both regular and special education student teachers intuitively neglect important data points in interpretation and they do not use a consistent strategy in prediction across the case vignettes (Fleiss’ κ = 0.071; p < 0.001). Building on the results of Study I, a 3-min video intervention for linear trend identification using Tukey Tri-Split was developed. Study II tested the efficacy of the video intervention on the accuracy of future learning progress among student teachers and in-service teachers (N = 198) using randomized group assignment compared to a brief text hint. With a large effect size of Cohens’ f = 0.39, the video instruction shows high efficacy compared to the text hint. The increasing importance of DBDM in inclusive and special education is discussed.