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Accurate measurement of quality of life (QoL) is important for evaluation of autism services and trials of interventions. We undertook psychometric validation of the World Health Organisation measure—WHOQoL-BREF, examined construct validity of the WHO Disabilities module and developed nine additional autism-specific items (ASQoL) from extensive consultation with the autism community. The sample of 309 autistic people was recruited from the Adult Autism Spectrum Cohort-UK. The WHOQoL-BREF had good psychometric properties, including criterion, convergent, divergent and discriminant validity. The WHO Disabilities module showed adequate construct validity and reliability. The ASQoL items form a unitary factor of QoL, with one global item. Future studies can use the WHO measures alongside the ASQoL items to measure QoL of autistic people.

Autism spectrum disorder (ASD) affects individuals across all racial and ethnic groups, yet rates of diagnosis are disproportionately higher for Black and Hispanic children. Caregivers of children with ASD experience significant stressors, which have been associated with parental strain, inadequate utilization of mental health services and lower quality of life. The family peer advocate (FPA) model has been utilized across service delivery systems to provide family-to-family support, facilitate engagement, and increase access to care. This study used a randomized controlled design to examine the efficacy of FPAs in a racially and ethnically diverse sample. Results demonstrate significantly increased knowledge of ASD and reduced levels of stress for caregivers who received the FPA intervention as compared to treatment as usual.

This paper illustrates the power of extending Language Driven Engineering (LDE) with Domain-Specific Natural Languages (DSNLs) through a case study on two levels. Both cases benefit from the characteristic decomposition feature of LDE, resulting in tasks tailored to the application of domain-specific languages, here with a focus on the application of DSNLs supported by LLM-based code generation. In the first case study, we show how DSNL-supported LDE facilitates the development of point-and-click adventures, whereas the second case study focuses on migration: We demonstrate how the entire LDE scenario for point-and-click adventure games can be migrated to output TypeScript instead of JavaScript using LLM-based code generation exclusively, without manually writing any code. This migration not only infers the required types, but also preserves an important property of the original LDE scenario: generated web applications can be automatically validated by design via automata learning and subsequent model checking. Even better, this property can be exploited to automatically validate the correctness of the migration by learning so-called difference automata that characterize the behavioral differences between the generated JavaScript-based and Type-Script-based applications.

Modern cooperative learning began in the mid- 1960s (D. W. Johnson & R. Johnson, 1999a). Its use, however, was resisted by advocates of social Darwinism (who believed that students must be taught to survive in a \"dog-eat-dog\" world) and individualism (who believed in the myth of the \"rugged individualist\"). Despite the resistance, cooperative learning is now an accepted, and often the preferred, instructional procedures at all levels of education. Cooperative learning is being used in postsecondary education in every part of the world. It is difficult to find a text on instructional methods, a journal on teaching, or instructional guidelines that do not discuss cooperative learning. Materials on cooperative learning have been translated into dozens of languages. Cooperative learning is one of the success stories of both psychology and education. One of the most distinctive characteristics of cooperative learning, and perhaps the reason for its success, is the close relationship between theory, research, and practice. In this article, social interdependence theory will be reviewed, the research validating the theory will be summarized, and the five basic elements needed to understand the dynamics of cooperation and operationalize the validated theory will be discussed. Finally the controversies in the research and the remaining questions that need to be answered by future research will be noted.

Relatively little attention has been devoted to the social validation of potentially effective autism interventions. Thus, it is often difficult to identify and implement evidence-based practices, and programming is often inadequate. The authors identified autism intervention components with reported effectiveness for school settings. The results of a social validation survey completed by parents, teachers, and administrators indicate strong, consistent support for program components falling within five functional areas: (a) individualized programming, (b) data collection, (c) the use of empirically-based strategies, (d) active collaboration, and (e) a focus on long-term outcomes. These socially validated interventions can be used to evaluate existing autism curricula and develop training for professionals, parents, and students in order to improve public school autism programs.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects socio-emotional skills and perspective-taking abilities. Although social stories in a form of virtual reality program can help children with ASD, developing them and identifying appropriate responses might be subjective and thus challenging. Using Delphi method, and guided by general case training, we involved 63 parents and clinicians of individuals with ASD, in two rounds of online iteration to refine the stories. Scenarios that reached a 75% agreement level were accepted. This project is the first study to develop and validate a library of 75 short socio-emotional stories that illustrate various types and intensities of emotion in three social contexts of home, school, and community as the content of a virtual reality program.

Background Despite being cornerstone medications for managing gastrointestinal disorders, proton pump inhibitors (PPI) have raised concerns due to inappropriate prescribing and overutilization, their potential side effects, and interactions with other medications. General practitioners (GPs) provide long-term patient follow-up and are targets to promote PPI deprescribing to reach the widest possible population. GPs practicing in rural settings encounter unique challenges as their numbers dwindle and their workload increases. Hence, targeted educational interventions are crucial to promote appropriate prescribing practices in such underserved areas. Methods We developed a continuing medical education (CME) program focused on PPI deprescribing for GPs in rural settings. The program comprised of an interactive training session featuring clinical cases, an open discussion, and distribution of educational materials. We assessed the program’s effectiveness using a two-level Kirkpatrick model, evaluating participant satisfaction and knowledge levels through pre- and post-course questionnaires. Results Thirty-three GPs participated, with 61.9% working in semi-rural and 38.1% in rural areas (21 responded to the 1st questionnaire, 14 to the 2nd ). Median medical experience was 6 years, with 61.9% serving as internship supervisors. Despite 95.2% acknowledging PPI overprescription, none had previously participated in dedicated PPI CME programs. The open discussion session provided valuable insights into various topics related to PPI use and gastrointestinal health. Participants expressed high satisfaction with the program (average rating of 9.1/10) and 92.9% reported changes in practice, including increased awareness of inappropriate PPI prescriptions. Indeed, 92.9% of GPs identified inappropriate PPI use following the course. 57.1% of participants utilized the provided educational materials. The main practice changes observed included an increased reassessment rate of PPI indications (71.4% at each renewal after vs. 19% before, 28.6% non-systematically after vs. 66.8% before, 0% rarely after vs. 14.3% before; p  = 0.006), the necessity for more than one consultation to deprescribe (64.3% after vs. 23.8% before; p  = 0.021), systematic utilization of gradual cessation of PPI (100% vs. 61.9%; p  = 0.039) and more frequent use of additional medication (92.9% vs. 57.1%; p  = 0.022), primarily antiacids (92.3%). Conclusions Our study underscores the effectiveness of targeted CME programs in promoting appropriate prescribing practices and enhancing knowledge among GPs in rural settings. Despite the challenges encountered in deprescribing PPI, the program facilitated proactive approaches in managing treatment discontinuation failures. Tailored educational interventions are essential for mitigating medication prescribing challenges and improving patient outcomes in rural primary care settings. Trial registrations Not applicable.

In response to national calls to better align physics laboratory courses with the way physicists engage in research, we have developed an epistemology and expectations survey to assess how students perceive the nature of physics experiments in the contexts of laboratory courses and the professional research laboratory. The Colorado Learning Attitudes about Science Survey for Experimental Physics (E-CLASS) evaluates students’ epistemology at the beginning and end of a semester. Students respond to paired questions about how they personally perceive doing experiments in laboratory courses and how they perceive an experimental physicist might respond regarding their research. Also, at the end of the semester, the E-CLASS assesses a third dimension of laboratory instruction, students’ reflections on their course’s expectations for earning a good grade. By basing survey statements on widely embraced learning goals and common critiques of teaching labs, the E-CLASS serves as an assessment tool for lab courses across the undergraduate curriculum and as a tool for physics education research. We present the development, evidence of validation, and initial formative assessment results from a sample that includes 45 classes at 20 institutions. We also discuss feedback from instructors and reflect on the challenges of large-scale online administration and distribution of results.

In the education community, the Technological Pedagogical Content Knowledge (TPACK) framework has become a popular construct for examining the types of teacher knowledge needed to achieve technology integration. In accordance with Katz and Raths's 'Goldilocks Principlen' (cited in Kagan, 1990), TPACK, with its seven knowledge domains, may be too large (vague or ambiguous) of a construct to enable reasonable application. In this article, we provide a critical review of the TPACK construct and address the development, verification, usefulness, application, and appropriateness of TPACK as a way to explain the teacher cognition needed for effective technology integration. We make suggestions for returning to a simpler conceptualization to refocus our efforts on what teachers need to achieve meaningful technology-enabled learning.

Functional Behavior Assessment (FBA) and behavior interventions have been effective in the management of challenging behavior among children with developmental disabilities including autism spectrum disorders. Research suggests the need for valid measurement instruments for verifying, calibrating and scoring competence in FBA and behavior interventions. The validation for the Ability in Behaviour Assessment and Interventions for Teachers (ABAIT) adopted the Delphi method for developing consensus followed by the application of Rasch Measurement Model (RMM). RMM among 292 special educators reported appropriate infit (0.84–1.11), outfit (0.94–1.05), and item separation reliability (0.99), though some items reported low point-biserial correlation. The ABAIT was developed with expert consensus and was found to have a suitable fit with RMM.