Graphophonological processes in dyslexic readers of French: A longitudinal study of the explicitness effect of tasks

Given the well-acknowledged phonological deficit found in dyslexic children, this study was aimed at investigating graphophonological processes in dyslexic readers of French over a 1-year period. Among the different types of phonological processing can be distinguished those related to phonological awareness based on knowledge of the oral language and graphophonological processes based on correspondences between the oral and the written language. In this study, we evaluated graphophonemic and graphosyllabic processes using, in each case, two different tasks varying in the degree of cognitive constraint associated with the task (CC- vs CC+). Twenty 11 year-old dyslexic students were compared with younger normal-readers of the same reading level (RA, n=26) and to normal-readers of the same age (CA, n=24). Two variables were considered in the analyses: accuracy and response latency. Results show that dyslexic readers do process written items at the graphophonological level. Also, results indicate main effects of task (CC- vs CC+), time (T1 vs T2), and group (DYS vs RA vs CA). In general, dyslexic participants' performances are comparable to those of RA and differ from those of CA.     

Which features make illustrations in multimedia learning interesting?

How can illustrations motivate learners in multimedia learning? Which features make illustrations interesting? Beside the theoretical relevance of addressing these questions, these issues are practically relevant when instructional designers are to decide which features of illustrations can trigger situational interest irrespective of individual differences. We analysed ratings of illustrations with respect to four potentially interest-triggering features (concreteness, personal relevance, ease of comprehension and unexpected information) and to situational interest. A methodological contribution was to show how multilevel modelling can be applied to take individual differences into account in several respects. Situational interest was predicted by 957 ratings of the four features on an intra-individual level (level 1). Inter-individual differences were controlled by modelling individuals on level 2 (N?=?82 high-school students). Concreteness, personal relevance and ease of comprehension of illustrations are what mainly triggered situational interest. Nearly, 55% of the situational interest variance was explained by inter-individual preferences, thus, highlighting the usefulness of multilevel modelling to control for individual differences.     

Internationale und nationale Impulse zur Reform des Doktoratsstudiums

Durch die Aufnahme des Doktorats in die europäische Studienarchitektur wurde ein klares Zeichen bezüglich des Stellenwerts und der Wichtigkeit des Doktorats gesetzt. Die Folge waren zahlreiche Aktivitäten auf nationaler und europäischer Ebene, die sich mit Eckpunkten zum Doktorat und der Weiterentwicklung des Doktorats auseinander setzten und die einen Einfluss auf die Gestaltung der Doktoratsstudien haben. Der folgende Beitrag soll einen kurzen Überblick über die Entwicklungen während der letzten Jahre geben.     

Sex and personality differences in French and German performance in British secondary school pupils

An experiment was performed to investigate the relationship between sex, personality and learning style and French and German performance in secondary school pupils. 432 13–14 year old children (216 boys and 216 girls) whose mother tongue was English were given the Junior Eysenck Personality Inventory and Raven's Standard Matrices. Half of the subjects were then given three performance tests (comprehension, essay and prose translation), and the rest received three parallel German tests. The main findings were that, although pupils studied each language for the same time, German was easier than French, girls did better than boys, and that language performance increased with extraversion. The results were discussed in terms of their practical implications.     

The reliability of test scores for the pervasive developmental disorders rating scale

The Pervasive Developmental Disorders Rating Scale (PDDRS; Eaves, 1993) is a screening instrument used in the assessment of autistic disorder. In this study, the reliability of test scores for the PDDRS was examined with three samples. The first sample consisted of 456 participants ranging in age from 1 to 12 years old and the second sample consisted of 111 participants in the 13 to 24 year‐old range. Additionally, the test‐retest reliability of scores for the PDDRS was examined with a sample of 40 participants. The results indicated that coefficient alpha for the PDDRS Total Score was adequate for screening purposes (r = .89) for both age groups. The results of the test‐retest study also suggested that PDDRS had adequate test‐retest reliability (r = .92) for the PDDRS Total Score. © 2002 Wiley Periodicals, Inc. Psychol Schs 39: 605–611, 2002.     

愚蠢的罪犯,可悲的结局!

这六个故事中的笨蛋终于明白了犯罪是没有好结果的被紧紧卡住德克萨斯州,登顿市通道的另一头没有亮光。当警察赶到一处     

Psycho-Education with Asylum Seekers and Survivors of Torture

This article examines psycho-educational programmes for asylum-seekers and tortured refugees at the Danish Red Cross Asylum Department and Rehabilitation and Research Centre for Torture victims respectively. The psycho-education programme is based on a cognitive theoretical framework. However, it is argued that the processes observed during the programmes and the changes in the participants’ lives may be conjointly understood within theoretical frameworks of narrative therapy, social constructionism, and community psychology, emphasizing professionals’ and participants’ co-construction of alternative stories and action possibilities, and the importance of the context and social network outside the intervention context.

Using natural language processing to support peer-feedback in the age of artificial intelligence: A cross-disciplinary framework and a research agenda

Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a cross-disciplinary framework that aims to facilitate the development of NLP-based adaptive measures for supporting peer-feedback processes in digital learning environments. To conceptualize this process, we introduce a peer-feedback process model, which describes learners' activities and textual products. Further, we introduce a terminological and procedural scheme that facilitates systematically deriving measures to foster the peer-feedback process and how NLP may enhance the adaptivity of such learning support. Building on prior research on education and NLP, we apply this scheme to all learner activities of the peer-feedback process model to exemplify a range of NLP-based adaptive support measures. We also discuss the current challenges and suggest directions for future cross-disciplinary research on the effectiveness and other dimensions of NLP-based adaptive support for peer-feedback. Building on our suggested framework, future research and collaborations at the intersection of education and NLP can innovate peer-feedback in digital learning environments.

Practitioner notes

What is already known about this topic

• There is considerable research in educational science on peer-feedback processes.
• Natural language processing facilitates the analysis of students' textual data.
• There is a lack of systematic orientation regarding which NLP techniques can be applied to which data to effectively support the peer-feedback process.

What this paper adds

• A comprehensive overview model that describes the relevant activities and products in the peer-feedback process.
• A terminological and procedural scheme for designing NLP-based adaptive support measures.
• An application of this scheme to the peer-feedback process results in exemplifying the use cases of how NLP may be employed to support each learner activity during peer-feedback.

Implications for practice and/or policy

• To boost the effectiveness of their peer-feedback scenarios, instructors and instructional designers should identify relevant leverage points, corresponding support measures, adaptation targets and automation goals based on theory and empirical findings.
• Management and IT departments of higher education institutions should strive to provide digital tools based on modern NLP models and integrate them into the respective learning management systems; those tools should help in translating the automation goals requested by their instructors into prediction targets, take relevant data as input and allow for evaluating the predictions.