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ICAP is a framework that classifies learning processes based on students' explicit behaviors. The framework is developed for testing the hypothesis that interactive exercises are better than constructive exercises, and active exercises are better than the passive exercises for higher cognitive engagement and better learning outcomes. The ICAP Framework is intended to assist researchers, instruction designers and instructors in determining the activities appropriate for the aimed research and teaching. This study aims to evaluate articles based on or supported by the ICAP Framework from various aspects. In the study, employing the descriptive survey method, data collection was conducted through document analysis, while content analysis was utilized to analyze the data. The 71 articles reviewed within the study's scope were examined through the "data collection form" developed by the authors. In this context, the articles' general and methodological characteristics and themes and the findings related to ICAP contexts are presented. As a result of the research, no study regarding the ICAP Framework was conducted in Turkey. It was revealed that most of the studies, which have increased in number since 2017 in various countries, utilize the ICAP framework at the analytical level or create models-modules and develop toolsscales based on the ICAP Framework. Additionally, it was observed that mostly undergraduate and K12 students were studied in face-to-face education, with social sciences as the leading disciplinary field and teaching-learning approaches and design-development-evaluation as the most frequently studied topics, while in studies in which mixed and qualitative methods were the leading methods, exploratory and experimental approaches were more preferred. In line with these results, recommendations are presented to contribute to the field.

The transition from secondary education to the first year of higher education is a phase in which students are faced with many challenges. First-year students may lack the academic capital that is needed to understand explicit and implicit rules of higher education. We investigated students' participation in a preacademic program and the development of their academic capital. In a mixed method study, we showed that first-year students who participated in a preacademic program perceived peer mentors and teachers to be relevant sources of information, learned how to overcome educational barriers, and became more acquainted with explicit and implicit college requirements.

Since its release, ChatGPT has raised concerns in many teaching contexts given its threat to reliably evaluating learners' knowledge and skills. Within task-based pedagogy, however, this technology opens new avenues for second language (L2) teaching when adopting the technology as a writing buddy. Our study explores how ChatGPT as a model impacts the revision process of advanced L2 writers of German. Twenty-two university students participated in a two-week classroom-based intervention, producing two summaries of popular-scientific texts in L2 German. After writing a first draft, they compared their summaries with texts produced by ChatGPT (3.5) and revised, where necessary, their own text. In this paper, we analyze all students' rubrics-based ratings of the ChatGPT models and present data of six focus students' screen-recorded revision processes that we coded for revision focus, source, and success. Results reveal students' growing awareness of characteristics of ChatGPT-output, such as linguistic accuracy and fluency, as well as its flaws in content provision. Revision data demonstrate that students skillfully made use of the models to improve their own texts. Our study provides evidence that using ChatGPT as models in writing and revision processes can stimulate higher-order thinking in the revision process of advanced L2 students.

The advantages and drawbacks of components of flexible assessment have been studied mostly from the standpoint of students and, to a lesser extent, teachers. A gap persists in understanding the collective perspectives of teachers and students concerning flexible assessment. This study aimed to explore experiences and perspectives of students and teachers regarding flexible assessment within the specific context of nursing education. Seven focus groups comprised four sessions with teachers and three with students, each involving 5-8 participants. Results showed that students and teachers have a predominantly positive perspective towards flexible assessment. They acknowledge the opportunities that flexible assessment provides for diverse forms to present evidence. However, concerns were raised regarding the design of flexible assessments, issues of fairness in rating evidence, and the understanding among teachers and students regarding the assessment processes. Additionally, discussions focused on the perceived benefit of flexible assessments, particularly concerning the time investment required for their implementation and evaluation. In conclusion, the success of flexible assessments is contingent on the careful consideration of its design, ensuring equitable evaluation of evidence, and fostering comprehensive understanding among both teachers and students. Recognizing potential disparities in views of students and teachers offers valuable insights into the effectiveness of flexible assessment. Achieving a balance between the flexibility of assessment formats, aligned forms of evidence, and an appropriate rating methodology is crucial for effective implementation.

Purpose: During the last decade, new continuing learning pathways have been designed and implemented in the Dutch Vocational Education and Training (VET) column aiming to foster students' transitions between successive educational levels. Prototypical examples of such continuing learning pathways are the Green Lyceum (GL) and the Technical Talent Development programme (TTD). In the present exploratory study, GL and TTD were compared in terms of curriculum design aspects and students' acquired VET diplomas and transitions to higher VET levels. Methods: Ten curriculum design aspects of GL and TTD were described through curriculum description forms and focus group discussions to be able to determine similarities and differences between both learning trajectories. Moreover, acquisition of VET diplomas and transitions to higher VET levels of students from both programmes were compared. Findings: The ultimate goal of GL was to promote student transitions to higher professional bachelor (HBO) programmes while TTD mainly intended to increase student numbers in the technical domain at the secondary VET level. For GL, a new and integrated VET curriculum was built with specific ingredients to prepare students for the HBO level. For TTD, the contents of the regular VET programmes were roof tile stacked in an accelerated curriculum with a stronger focus on vocation-oriented assignments in the technical domain. Conclusion: If the ultimate goal of a continuing learning pathway is to promote students' transitions to higher VET levels, curriculum design aspects as represented in GL seem more effective. However, if the focus is on promoting students' diploma acquisition at lower VET levels for specific sectors, curriculum design aspects as represented in TTD seem more effective.

Lecturers who are actively engaged in shaping their teaching and teaching practices demonstrate agency. Teacher agency has increasingly been described as a key factor in educational development at universities. Lecturers are expected to innovatively develop courses and continuously improve their teaching practices to respond to, for example, student needs and labor market demands. In this multimethod study, we examined the process of developing and validating scenarios for measuring teacher agency in universities. We conducted four studies to create 23 scenarios that capture the complex nature of teacher agency. First, we interviewed university lecturers to identify bumpy moments in their teaching practice, and so found scenarios based on real-life experiences. Then, we employed two expert panels, to evaluate and refine the scenarios, which enhanced their validity. Finally, we used a pilot study to standardize the data collection procedures. Our multimethod study has established reliability by triangulating methods and researchers, involving multiple stakeholders, and providing detailed descriptions of the research process. This project holds implications for research and practice. The scenarios can be used in professional academic development programs for the collection of research data and to promote self-reflection, peer consultation activities, and professional growth and agency among university lecturers.

Public speaking often imposes a nerve-wracking atmosphere in the L2 classrooms. Consequently, an alternative to the anxiety-arousing activity by using advanced technology for pedagogy is urgent. Prior publications reported the use of virtual reality (VR) for training public speaking and alleviating students' public speaking anxiety (PSA). However, no latest review in this area has been published. This present study employed a systematic review to delineate the trends in the latest decade (between 2011 and 2023), synthesizing research outcomes, methodologies, loci, participants, treatment duration, and research focuses. This systematic review was based on inclusion and exclusion criteria. Conceptual and theoretical studies were removed, yielding 16 studies with empirical data to be thoroughly examined. Most studies indicated the effectiveness of VR for teaching public speaking and reducing speech apprehension. Several gaps were disclosed, such as the inconsistency of the research findings regarding whether the short duration of VR exposure resulted in the statistically non-significant effects, the unequal distribution of research loci which were mostly reported from the US, the UK, and Europe, and the major focus on English as L1 instead of L2 public speaking training. The results of this review suggest that more pertinent studies in countries with EFL or L2 learning contexts and longer treatment duration be conducted and reported in the globally renowned English-language journals to verify the effectiveness of VR technology in treating PSA.

This study aims to look at research trends on inquiry and socioscientific in the last 2 decades from 2004 to 2023. The PRISMA method is a reference in determining inclusion and exclusion criteria, as many as 449 articles were synthesized using bibliometric analysis. The result synthesis refers to the distribution of articles per year, research themes, affiliations, countries, authors, and productive journals. The inquiry and socioscientific research trends will peak in 2022, affiliated with the University of Wisconsin-Madison and the University of Southampton. Productive country United states and United Kingdom. Best author Laursen S. and Zeidler D.L. Productive journal CBE Life Science Education from United Kingdom and International Journal of Science Education from United States.

Teaching in secondary education is mostly grounded in the practical wisdom of teachers. In general, teachers have limited knowledge of, access to, and interest in insights from scholarly work. Teacher research might be a way to move beyond practical wisdom as the only basis for good teaching. This study aimed to explore whether teacher research can encourage teachers' learning process as professionals, improve teaching practices, and generate knowledge about these practices. Participants were 44 experienced secondary school teachers in the Netherlands following a 2-year Master of Science professional development program on teaching and learning. Data was gathered using questionnaires, learner reports, a group interview, and participants' master theses. Thematic analyses of the combined data sources showed that the teachers report significant changes in the way they teach and think about teaching: they mentioned that they learned to take different perspectives when they are confronted with problems in their teaching and they reported being more focused in their teaching practice on what they want to change in their teaching. Concerning the third aim of generating knowledge, they mentioned challenges that are common for starting researchers such as how to formulate a researchable question, how to select relevant literature, how to deal with peer review, and how to perform situated generalization. We discuss what kind of educational research is valuable for teachers as learning professionals in secondary schools.

The rapid development of artificial intelligence and large language models (LLMs) has led to significant advancements in applying machine learning techniques across diverse disciplines, including educational science research. This study investigates the potential of LLMs like ChatGPT for qualitative data analysis, focusing on open, axial, selective coding, theme or pattern identification, and inter-rater reliability. Our findings indicate promising capabilities of ChatGPT in open coding, demonstrating accurate categorization of qualitative data. However, axial coding posed challenges due to the model's limited understanding, which was partially addressed by refining prompts based on ChatGPT's interpretation. ChatGPT also showed competence in selective coding and theme or pattern identification, providing additional insights. For inter-rater reliability, ChatGPT's performance varied across datasets, with improvements observed when providing contextual information. It is important to note the limitations and variability of LLMs such as ChatGPT, which is in public beta and subject to potential limitations in usage and reliability. Our study demonstrates ChatGPT's potential for coding and inter-rater reliability. Improved results are achieved with refined prompts and utilising ChatGPT's own definitions. The adoption of LLMs for qualitative analysis requires further exploration, including addressing algorithmic bias and the potential for inaccurate responses. Validation techniques are crucial in mitigating these risks.

Providing students with autonomy over their learning process can support the development of their self-regulation skills. This study aimed to examine the effects of autonomy-support interventions on students' self-regulated learning strategies. The participants were 432 students from three secondary schools in the Netherlands. In each school, a one-year field experiment was performed, in which teachers and students shared control over learning processes. At the start and end of the school year, students from both the experimental and control conditions completed a questionnaire on perceived autonomy support and self-regulation strategies used. Univariate analyses of covariance were performed to examine the effects of the interventions on perceived autonomy support and the use of self-regulated learning strategies. The intervention with the highest amount of student control showed positive effects on self-regulated learning strategies 'task orientation', 'planning', and 'process evaluation', although it did show a small decrease in perceived autonomy support. The other two interventions showed an increase in perceived autonomy support and a positive trend in 'monitoring'. The field experiments suggest that different ways of supporting student autonomy can yield different effects on students' self-regulated learning strategies. The tentative conclusion is that a focus on student control is the most effective.

This study analyze data from three national contexts in which teachers worked with the same teaching materials and inquiry classroom activities, investigating teachers' use of strategies to promote interaction and scaffolding when participating in a professional development program. The data material is collected from three case studies from the Netherlands, Norway, and Sweden, respectively. Each case is from a teaching unit about green plants and seed sprouting. In one lesson in this unit, students were involved in planning an experiment with sprouting seeds, and this (similar) lesson was videotaped in three national settings. The main research question is, as follows: How do primary teachers use questions to scaffold conceptual understanding and language use in inquiry science activities? The data analysis shows that teachers ask different kind of questions such as open, closed, influencing and orienting questions. The open, orienting questions induce students to generate their own ideas, while closed orienting and influencing questions often scaffold language and content-specific meaning-making. However, both open, closed, orienting and influencing questions can scaffold student language and conceptual understanding. Often, teacher questions scaffold both language content-specific meaning-making at the same time. The study shows the subtle mechanisms through which teachers can use questions to scaffold student science literacy and thereby including them in classroom interaction.

While many Vietnamese students are reported to study abroad, the experiences of home-making among Vietnamese returning students are paid scant attention to in current research on Vietnamese international student mobility. Following a Heideggerian perspective on building and dwelling at home, this study explores the sense-making of home through conversations with 13 Vietnamese returning graduates. The analysis of the empirical material shows that home which is constructed and experienced by the returning graduates' use of intersecting materials is socially shared. It is an embodiment of returning migrants' engagement in the world with familiarity and discomfort created by their friction with the interrelated materialistic and discursive aspects of life. Their returns involve incomplete life happenings with diverse emotions and experiences of belonging. The findings of this study add nuance to the extant understanding of home as belonging and challenge the common conceptualization of home as a private space.

This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already know, then submit their solutions, and get automatic feedback from the system. We analyzed quantitatively how students used the system by inspecting the logged actions of the students using the system. We also did a qualitative analysis by interviews, to find out how the students appreciated the use of the repository and to get feedback for improvements. We focused on how students select exercises as finding the exercise that fulfils the training needs of a student is the innovative part of our repository.

This study explores the potential of a new perspective on research into the impact of higher education on students' civic engagement. We propose shifting from viewing engagement as the key dependent variable to two "fundamental constituents": political interest and agency. Both constituents have been presented as either static or determined entirely by factors external to education, such as maturation, but also as dynamic and affected by various aspects of the educational experience in higher education. Furthermore, as analyses of these effects based on sample means do not account sufficiently for the intersectionality of background variables that define the student experience, we propose that data are explored through cluster analysis. Employing this type of analysis, a case study conducted at a small international liberal arts college in the Netherlands showed four distinctly different patterns in the development of both constituents of civic engagement. Based on further data obtained from the same sample, we offer suggestions for specific foci in further research about the impact of higher education on the development of civic engagement.

The present study aims to identify the most productive countries, journals, authors, institutions and the most used keywords in the field of special education during 2011-2020, based on the WoS database. The widespread effects of the papers and how they are related were analyzed with the bibliometric analysis method. The findings of the study showed that the USA is inarguably the most productive country, followed by England and Australia. On the other hand, there was a very strong positive correlation (r = 0.929) between the number of papers published by countries and their h-index, a similar finding was also found to be present between the countries' h-index and GDP per capita (r = 0.790). Moreover, it was found that the journals with the highest quartile (Q1 and Q2) in the field of special education published significantly more papers than the journals with the lowest quartile (Q3 and Q4). Matson, JL (USA), Sigafoos, J (New Zealand) and Lancioni, GE (Italy) were determined as the most prolific authors, respectively. Autism, intellectual disability, and Down syndrome were the phrases most frequently used as keywords. Our findings provide key information regarding the developments that the research direction of special education field has recently taken. This study also serves a potential roadmap for future studies.

Montessori education has existed for more than 100 years and counts almost 16,000 schools worldwide (Debs et al., 2022). Still, little is known about the implementation and fidelity of Montessori principles. Measuring implementations holds significant importance as it provides insight into current Montessori practices and because it is assumed that implementation might influence its effectiveness. In the Netherlands, it is especially important to measure fidelity because of the country's history of flexible implementation of Montessori principles. No instruments currently exist that are specifically designed to measure Montessori implementation in the Dutch context. This study aims to validate a translated version of the Teacher Questionnaire for Montessori Practices, developed by Murray et al. (2019), within the Dutch early childhood education context. Additionally, it seeks to investigate the extent to which Montessori principles are implemented in Dutch early childhood schools. Data were collected from 131 early childhood Montessori teachers. Confirmatory factor analysis revealed that the Dutch dataset did not align with the factor structure proposed by Murray et al. (2019). Subsequent exploratory factor analysis led to the identification of a 3-factor solution, encompassing dimensions related to Children's Freedom, Teacher Guidance, and Curriculum, which shows some similarities with Murray et al.'s (2019) factors. Implementation levels in the Netherlands varied, with the highest level of implementation observed in Children's Freedom and the lowest in Curriculum.

This systematic literature review presents a review of the effects of integrated language arts, science and technology (ILS&T) instruction, with an inquiry- or design-based pedagogy, in elementary schools on student achievement. To this end, an overview of the characteristics of the 19 included studies and their interventions is first presented. Second, the effects of interventions in relation to the study characteristics and outcome variables were examined, by comparing the mean effect sizes. The findings demonstrate positive effects of ILS&T instruction for all reported student learning outcome variables. Third, the relation between characteristics of the intervention and effect sizes was analysed. Interventions with higher levels of integration, a short duration, and teacher professional development activities produce higher effect sizes. These findings are relevant for the design of ILS&T interventions. The analysis was challenged by a lack of detailed information in study and intervention descriptions, which prompts a call for scholars to provide more comprehensive information in their intervention studies.

Previous research on employment outcomes of autistic adults mainly assessed if they work and under what terms, with mostly anecdotal descriptions of where they work. This study aimed to identify the employment sector distribution of autistic employees compared to the general workforce in the Netherlands and to explore possible background predictors. Participants were 1115 employed autistic adults (476 male; 627 female; 12 other; mean age: 40.75) who completed a cross-sectional survey assessing employment sector, gender, age, age at diagnosis, educational level, degree of autistic traits, and presence of focused interests. Dutch workforce data were retrieved from the Central Bureau of Statistics. Results indicated significant differences in sector distribution across the two populations. Autistic adults were over-represented in the sectors healthcare & welfare, information technology, and public-army-charity, which were the three most-common sectors for this group. In economics & finances, and industry & construction, higher proportions were found in the general workforce. Most autistic employees in the healthcare & welfare sector were females while having a higher educational degree and being male predicted placement in information technology. The broad distribution of autistic employees beyond the information technology sector was notable, supporting the need for an individual approach to employment integration.

Background: Sleep problems are common in adults with ADHD and may be bidirectionally associated with ADHD severity and other psychiatric symptoms. We investigated the prevalence of positive screenings for various sleep disorders, and their association with psychiatric comorbidities in a large sample of adults with ADHD from a specialized outpatient clinic. Methods: We included data of 3,691 adult patients diagnosed with ADHD, who had filled out a screener for sleep disorders (Holland Sleep Disorders Questionnaire (HSDQ)) as part of routine diagnostic assessment. The HSDQ screens for the sleep disorders insomnia, parasomnia, hypersomnia, circadian rhythm sleep disorders (CRSD), restless legs syndrome (RLS)/periodic limb movement disorder (PLMD), and sleep-related breathing disorders (SBD). As delayed sleep phase syndrome (DSPS) is very frequent in ADHD, we additionally screened for DSPS. Psychiatric comorbidities were diagnosed through clinical assessment and the Mini International Neuropsychiatric Interview (M.I.N.I.) Plus, which assesses 26 psychiatric disorders following the classification of the DSM-5. All data were retrieved from the electronic patient files. Results: Mean age was 35.4 and 49.4% of the patients were female. About 60% of the adults with ADHD screened positive for any sleep disorder. Highest prevalences were found for symptoms of DSPS (36%), insomnia (30%), and RLS/ PLMD (29%). Sleep problems in adults with ADHD were associated with comorbid depression, anxiety, substance use disorder, personality disorder, and post-traumatic stress disorder. Conclusion: Adults with ADHD often report sleep problems, which are associated with specific psychiatric comorbidities. Systematic screening for sleep disorders in adult patients with ADHD can contribute to a better understanding of their complaints and may aid improved and integrated treatment for the sleep and psychiatric problems.

Background: ADHD is highly comorbid with Delayed Sleep Phase Syndrome (DSPS). Both are associated with obesity and diabetes, which can be caused by long-term dysregulations of appetite and glucose metabolism. This study explores hormones involved in these processes and the effects of chronotherapeutic interventions in a small sample of adults with ADHD and DSPS. Methods: Exploratory, secondary analysis of data from the PhASE study, a three-armed randomized clinical trial, are presented, including 37 adults (18-53 years) with ADHD and DSPS receiving three weeks of 0.5 mg/day (1) placebo, (2) melatonin, or (3) melatonin plus 30 minutes of bright light therapy (BLT). Leptin (appetite-suppressing), ghrelin (appetite-stimulating), insulin, insulin-like growth factor-1 (IGF-1), and glucose were measured from blood collected at 08:00 hours. Salivary cortisol was collected during the first 30 minutes after awakening and self-reported appetite was assessed. Results: Baseline leptin and IGF-1 levels were higher than reference ranges, and ghrelin and cortisol levels were lower, while insulin and glucose were normal. Melatonin treatment decreased leptin and insulin. Other outcomes remained unchanged and melatonin + BLT had no effects. Conclusion: Due to the small sample size and exploratory nature of the study, results should be interpreted with caution. Overall, these results show no strong indications for dysregulation of appetite and glucose metabolism to suggest high risk of obesity and diabetes in this small sample of adults with ADHD and DSPS. However, baseline appetite was suppressed, likely because measurements took place in the early morning which could be considered the biological night for this study population. Melatonin treatment seemed to cause subtle changes in appetite-regulating hormones suggesting increased appetite. Chronotherapeutic treatment may affect appetite-regulating hormones by advancing the biological rhythm and/or altering eating behaviors, but this remains to be investigated in larger samples using detailed food diaries.

Background: Aggressive behaviour (AB) and non-suicidal self-injury (NSSI) are common in people with mild intellectual disability or borderline intellectual functioning, leading to adverse consequences for themselves and those around them. Method: We investigated the relationship between AB (both total and physical in particular) and NSSI and risk factors in 125 residents in a treatment clinic using incident reports and standard clinical measurements. Results: There was a weak correlation between AB and NSSI, as well as between impulsivity and total AB, and between coping and AB and NSSI. However, NSSI, impulsivity and coping skills did not predict AB. Conclusion: Results do not corroborate those of other studies in this area. In future studies impulsivity, coping, aggression and NSSI may be measured using other instruments, and differences between people with and without intellectual disability regarding these variables may be explored.

Feeling loved by one's parents is critical for children's health and well-being. How can such feelings be fostered? A vital feature of loving interactions is reciprocal self-disclosure, where individuals disclose intimate information about themselves. In a proof-of-concept experiment, we examined whether encouraging reciprocal self-disclosure in parent-child dyads would make children feel more loved during the conversation. Participants were 218 children (ages 8-13, 50% girls, 94% Dutch) and one of their parents (ages 28-56, 62% women, 90% Dutch). Parent-child dyads received a list of 14 questions and took turns asking them each other for 9 min. Dyads were assigned randomly to engage in self-disclosure (questions invoking escalated intimacy) or small talk (questions invoking minimal intimacy). Before and after, children reported how loved they felt by their parent during the conversation. Self-disclosure made children feel more loved during the conversation than did small talk. Compared to small talk, self-disclosure did not instigate conversations that were lengthier or more positive; rather, it instigated conversations that were more emotionally charged (reflecting anger, anxiety, and sadness), social (discussing family and friends), reflective (creating insight), and meaningful (addressing deeply personal topics, including the passing of loved ones). The dyad's gender composition did not significantly moderate these effects. Our research suggests that reciprocal self-disclosure can make children feel more loved in the moment, uncovers linguistic signatures of reciprocal self-disclosure, and offers developmental scientists a tool to examine causal effects of reciprocal self-disclosure in parent-child dyads. Future work should examine long-term effects in everyday parent-child interactions.

Multilevel models are often used to account for the hierarchical structure of social data and the inherent dependencies to produce estimates of regression coefficients, variance components associated with each level, and accurate standard errors. Social network analysis is another important approach to analysing complex data that incorporate the social relationships between a number of individuals. Extended linear regression models, such as network autoregressive models, have been proposed that include the social network information to account for the dependencies between persons. In this article, we propose three types of models that account for both the multilevel structure and the social network structure together, leading to network autoregressive multilevel models. We investigate theoretically and empirically, using simulated data and a data set from the Dutch Social Behavior study, the effect of omitting the levels and the social network on the estimates of the regression coefficients, variance components, network autocorrelation parameter, and standard errors.

Historians often present their interpretation of the past in written accounts. In order to gain deeper knowledge of the discipline of history, students must learn how to read and write historical accounts. In this experimental pretest--posttest study, we investigated the impact of a domain-specific reading instruction followed by domain-specific writing-strategy instruction as well as a repeated domain-specific reading instruction on the quality of written texts and on procedural knowledge regarding reading, reasoning, and writing of 142 10th grade students. Results indicated that both instructions had a positive impact on the quality of written texts and on the amount of procedural knowledge (reading, reasoning, and writing). However, students who received a domain-specific writing instruction after the reading instruction wrote better texts compared to students who only received a domain-specific reading-to-write instruction. In addition, we found positive correlations between procedural knowledge and the quality of written texts in both conditions.

Inference-making is a central element of successful reading comprehension, yet provides a challenge for beginning readers. Text decoding takes up cognitive resources which prevents beginning readers from successful inference-making and compromises reading comprehension. Listening does not require any decoding and could therefore offer a less demanding context to practice inference-making. The present study examined whether stimulating inference-making in a listening context is more effective and less cognitively demanding for beginning readers than a reading context. In three experiments, Dutch second grade children read two narratives and listened to two narratives. Inference-making was stimulated by asking them inferential questions during reading or listening and we compared this to a no-questioning control condition. After each narrative, we measured cognitive load and comprehension. It was expected that inferential questioning would increase cognitive load and negatively affect reading comprehension, but positively affect listening comprehension. The results indeed showed that inferential questioning increased cognitive load, but did not lead to differences in performance on open-ended comprehension questions (Experiment 1 & 2). When measuring comprehension with a free recall protocol (Experiment 3), we found a negative effect on total recall in both the reading and listening conditions. Taken together, we found no support for the hypothesized interaction. This raises questions about the effectiveness of inferential questioning for reading and listening comprehension of beginning readers, and whether listening is a good modality for improving inference-making.

This study explores the experiences and the preferred schedule of face-to-face and online tutorials in a problem-based learning setting where students learn collaboratively, based on cognitive, social, and teaching presences. Seventeen experienced students and 13 tutors attended semi-structured interviews focusing on their experiences and preferences. The majority (15 students and seven tutors) preferred a 100% face-to-face schedule as the default option to stimulate deep learning and social interactions, while two students and five tutors preferred a schedule with a majority of face-to-face tutorials with some online sessions. Overall, face-to-face tutorial meetings were perceived to deepen content discussions, create a sense of connection through social interactions and non-verbal communication, and protect student well-being.

Sustainability transitions need professionals with specific skills and attitudes that students often do not develop in their regular chemistry education. To foster sustainability change-maker competencies, we suggest augmenting higher education curricula, e.g., chemical degree programs, with transdisciplinary challenge-based learning combined with design thinking. The Da Vinci Project at Utrecht University (UU) in The Netherlands explores this approach, aiming to cultivate the undergraduates' sustainability change-maker competencies. After five years of experience, we reflected on the students' learning outcomes in this UU honors program. We conclude that transdisciplinary challenge-based education combined with design thinking provides unique opportunities for students to develop valuable skills and attitudes for navigating sustainability transitions, including the transition toward sustainable chemistry. These involve collaboration, communication, creative thinking, integrative problem-solving, stakeholder engagement, openness, empathy, the ability to deal with uncertainty and complexity, self-awareness, critical reflection, courage, and perseverance.

This article reflects on the "Hiddenness Index" we developed, implemented, and evaluated for Concertgebouworkest Young (Young), the youth orchestra of the Dutch Royal Concertgebouw Orchestra (Concertgebouworkest) for musicians with "hidden talents." "Hiddenness" alludes to various barriers that young musicians aspiring to a career in Western classical music may face, due to their social identity and positioning. These barriers may cause their talent to remain underdeveloped, invisible, or undiscovered; that is, "hidden." We developed the Index in response to Concertgebouworkest's request for an "evaluation and learning tool." Informed by intersectionality theory, it is an alternative to quantitative research into arts and culture, which takes a single-axis approach to the explanation of inequality in access to cultural production and participation. The first phase of our design-based research consisted of a theory- and practice-based mapping of the dimensions of "hiddenness." The outcome was that Geographical, Socio-economic, Family networks, Ethno-cultural, and Confidence-support dimensions should form the basis of the Hiddenness Index, which was constructed as a composite indicator. In the second phase of research, the Index was applied to the backgrounds of Young participants. The evaluation of the Index's strengths and weaknesses was central to the third phase. Complementing qualitative research, the Index offered a statistical way to evaluate the extent to which Young participants' talents were hidden and which dimensions of hiddenness were most prevalent at the group level. The Index affirmed and illustrated intersectionality theory, including the way two or more dimensions can compensate or reinforce one another. Through the use of the Index, the Young team gained a better understanding of intersectionality, which enabled them to fine-tune the selection process for future cohorts. The Index helped the team members to check their preconceptions (unconscious bias) and made them more aware of and able to attend to the different needs of individual participants.

Studies on the impact of the COVID-19 pandemic on autistic children's psychosocial outcomes have shown mixed results. In the current study we aimed to gain a better insight into the effect of the COVID-19 pandemic by comparing psychosocial outcomes collected pre-pandemic with data collected during the pandemic. We used the Strengths and Difficulties Questionnaire (SDQ) to examine change over time in psychosocial outcomes of autistic children from pre-pandemic (T0) to lockdown I (T1) and lockdown II (T2) in the Netherlands. We expected a deterioration in psychosocial outcomes. There were 224 participants in T0 and T1, of which 141 also participated in T2. The results showed a surprising improvement in psychosocial outcomes from T0 to T1. Special education and female gender were associated with increased difficulties over time, while higher age was associated with decreased difficulties. At the subdomain level we found that emotional problems remained stable, while hyperactivity, conduct problems, and peer problems decreased, and prosocial behavior increased. Attending special education predicted increased peer problems over time, while higher age predicted both decreased conduct problems and increased prosocial behavior over time. The COVID-19 pandemic may have temporarily improved the fit between the psychosocial needs and the environment for children with autism in the Netherlands.

Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based approach must be adopted for at least two reasons: (1) to take into account the correlations between the measures of the same subject, in order to test certain scientific hypotheses and to reduce misclassification of subjects in clinical practice, and (2) to reduce the number of significance tests involved in selecting predictors for the purpose of norming, thus preventing the inflation of the type I error rate. A new multivariate regression-based approach is proposed that combines all measures for an individual through the Mahalanobis distance, thus providing an indicator of the individual's overall performance. Furthermore, optimal designs for the normative study are derived under five multivariate polynomial regression models, assuming multivariate normality and homoscedasticity of the residuals, and efficient robust designs are presented in case of uncertainty about the correct model for the analysis of the normative sample. Sample size calculation formulas are provided for the new Mahalanobis distance-based approach. The results are illustrated with data from the Maastricht Aging Study (MAAS).

Equal opportunities in the context of education can be interpreted as ensuring equitable access to certain kinds of education (e.g. an academic track) or as equal opportunities to lead a fulfilling life regardless of the educational route followed (e.g. vocational or academic). These interpretations are in tension: the former implies a hierarchy where some forms of education are considered better than others, whereas the latter requires that they are all considered valuable. This paper presents a case study of a secondary school in the Netherlands that pursued both interpretations of equal opportunities and made systemic reforms to achieve this. Building on interviews, focus groups and participant observation with students, staff and management, the paper analyses the tension these actors experienced between the two interpretations of equal opportunities. It is argued that this stems from a societal context that endorses the first interpretation of equal opportunities but aligns less with the second interpretation. The analysis shows that individual institutions like schools have limited power to shift narratives surrounding educational tracks, especially when these do not align with prevailing trends in society. Additionally, the paper underlines the value of applying analysis of different interpretations of equal opportunities, which is usually undertaken by theoretical work, to empirical data.

Objective: This study aimed to objectively assess signs of hyperactivity in adults suspected of having ADHD, addressing potential sex bias in diagnosis. Methods: About 13,179 (49% female) adults with an average age of 33 years with ADHD and 1,910 (41% female) adults with an average age of 36 years without ADHD were included. Motor activity was measured using the Quantified Behavioral Test, analyzing "provoked," and "basal" activity. Sex by group differences were analyzed using analysis of variance. Results: Results showed significant ADHD effects on the basal and provoked activity measures, while sex effects were only notable for provoked activity. Males, irrespective of diagnosis, exhibited higher provoked activity than females, while both sexes with ADHD displayed approximately twice the basal activity and about three times the provoked activity compared to their respective sex controls. Conclusion: These findings suggest that females with ADHD suffer equally from hyperactivity compared to males, challenging the notion of a sex-dependent presentation of hyperactivity. This may lead to more accurate and timely diagnoses, reducing ADHD-related burdens and comorbidities in females. (J. of Att. Dis. 2024; 28(12) 1589-1597)

Identity research focuses on multiple processes capturing how adolescents form and maintain a sense of self. However, identity content (the "what" of identity) might impact associations between identity and the association with well-being. We examined this potential role of content (i.e., valence and life domain) in two studies, focusing on autobiographical reasoning in written narratives (i.e., self-event connections), educational identity commitment and exploration processes, and measures of general and domain-specific functioning. Study 1 (N = 180, M[subscript age] = 14.7) and Study 2 (N = 160, M[subscript age] = 13.1) provided little evidence for the hypothesized role of identity content, but moderation analyses in Study 1 showed that self-event connections were more strongly related to life satisfaction in narratives about relational events than other events. These findings suggest a more fine-grained approach is needed to capture the role of identity content.

In people with intellectual disabilities research and policy are often still focused on risks or the prevention of risks. Research on the process of resilience is in its infancy in the care for people with intellectual disabilities. In the current study, applying a guided photovoice procedure, people with intellectual disabilities were asked what helped them to deal with adverse events. Additionally, informants from their social network were asked to reflect on this question. The following sources of resilience were identified: acceptance, autonomy, beautiful memories, perseverance, physical wellbeing, positive emotions, social skills, spirituality, activities, a home and the social network. Our findings provide practical guidelines for clinicians to talk about resilience with people with intellectual disabilities. Suggestions for future research are made that will contribute to the process of resilience and inclusion of people with intellectual disabilities.

Self-concept develops during adolescence, but little is known about self-concept in adolescents with autism. This behavioral neuroimaging study investigated (1) self-concept positivity across three domains (academic, physical appearance, and prosocial) and (2) from the perspective of self (direct self-concept) and the perceived perspective of peers (reflected self-concept) in 12- to 16-year-old adolescent males with (n = 35) and without autism (n = 34). These behavioral and neural measures of self-concept were additionally related to autism traits and alexithymia traits across groups. Results showed no general group differences, but more autism traits were related to less positive self-concept ratings in the physical appearance and prosocial domains. More autism traits were also associated with less similarity between direct and reflected prosocial self-concept ratings. Lower self-esteem was additionally explained by alexithymia, specifically the difficulty to identify ones feelings. Participants showed medial prefrontal cortex activation in response to evaluating self-traits in both groups. Region-of-interest analyses revealed that medial prefrontal cortex and right temporal-parietal junction activation were differentially related to alexithymia traits. Together, this study provides a comprehensive understanding of self-concept and self-esteem in adolescents with varying levels autism and alexithymia traits.

Prospective memory helps us to remember to perform tasks in the future. Prospective memory can be either time or event based. The goal of this study was to determine time- and event-based prospective memory in autistic adults across the life span. Autistic (n = 82) and non-autistic (n = 111) adults, aged between 30 and 86 years, performed the lab-based Amsterdam Breakfast Task, and several naturalistic prospective memory tasks. Preregistered analyses (AsPredicted #34249) were performed using classical frequentist as well as Bayesian statistics. On none of the prospective memory tasks, group differences were observed. Our results show no effect of age on naturalistic tasks, but age did affect our lab-based measure, indicative of the age paradox often described in non-autistic adults. Moreover, we found evidence for a parallel age-related effect of lab-based and naturalistic prospective memory in autistic and non-autistic individuals.

Many autistic youths experience restricted school participation. The present study investigated the influences of youth, family and school factors on autistic youths' school participation. Parents of 200 Dutch autistic youths (age range: 4-16 years, M[subscript age] = 12.23 years, SD[subscript age] = 2.93 years) filled in questionnaires in a national survey for autistic individuals, reporting the school participation, age and autistic traits of their child, parents' education level and self-efficacy for supporting their child's schoolwork, and the impact of problems their child experienced with the physical and social environments of the school. Multivariate linear regression analysis using imputed data revealed that among the six predictor variables, only the impact of problems autistic youths experienced with the physical environment of school was negatively associated with their school participation. This study provided support for the essential role of the school environment in predicting autistic youths' school participation, indicating that problematic aspects in the school environment could have a greater impact on autistic youths' school participation than youth factors or family factors. This highlights the need to create a more accommodating environment at school, where autistic youths can participate easily and comfortably.

In the past 40 years, accumulating evidence suggested that autistic individuals are at an increased risk of suicidal thoughts and behaviors. This study examined the occurrence of various potential risk factors for lifetime suicidal behavior and suicidal thoughts in the past month in a Dutch cohort (Netherlands Autism Register) of autistic individuals using the Suicidal Behaviors Questionnaire (SBQ-R) and the Suicidal Ideation Attributes Scale (SIDAS). Our results show that the majority (80%) of the initial sample (N = 1164) had thought about or attempted suicide in their lifetime, of which 15% had attempted suicide. In the final sample (n = 421), backward linear regression analyses identified the following predictors for suicidal behavior: psychiatric comorbidity, loneliness, and higher number of autistic traits, F(3, 240) = 21.22, p < 0.001, with R[superscript 2] of 0.21. For suicidal thoughts in the past month, psychiatric comorbidity and a higher number of autistic traits were significant predictors, F(2, 241) = 20.34, p < 0.001, with R[superscript 2] of 0.14. In sum, additional risk markers for suicidal thoughts and behaviors in autistic individuals (e.g. number of autistic traits) should be considered when assessing the suicide risk in autistic individuals. Future research should focus on adapting suicide prevention interventions for autistic individuals, such as addressing loneliness as one of the intervention strategies.

Autistic adults experience high rates of unemployment, yet research investigating what predicts employment success produces inconsistent results. By utilising longitudinal person-oriented analyses, this study aimed to identify employment trajectories of autistic adults to better understand what may predict stable autistic employment. Participants were 2449 autistic adults (1077 men, 1352 women, 20 non-binary, M = 42.25 years, SD = 14.24), recruited via the Netherlands Autism Register. Latent class analysis utilising employment status across eight annual waves was used to identify longitudinal employment profiles. Fit indices and the interpretability of results indicated a four-class model best fit the data, with profiles reflecting stable unemployment (n = 1189), stable employment (n = 801), early unemployment increasing in probability of employment (n = 183) and high probability of employment reducing across time to low employment (n = 134). Multinominal analyses suggested that compared to the 'stable unemployment' group, membership in the 'stable employment' profile was predicted by fewer autistic traits, lower age, male gender, higher education and diagnosis age, and fewer co-occurring conditions. Higher education predicted both other profiles, with lower age and fewer co-occurring conditions predicting membership in the increasing employment class. Taken together, findings highlight the utility of person-oriented approaches in understanding the longitudinal challenges autistic adults experience maintaining employment and identifies key areas of support.

This study investigated whether the amount of emergency remote teaching (ERT) was negatively associated with students' academic performance in terms of study delay and explored whether this association was mediated by study-related experiences, i.e. students' education satisfaction and subsequently academic wellbeing (academic burnout and academic engagement). The study was conducted during the academic year 2020/2021 and 680 students from all conventional Dutch universities participated. The amount of ERT and study-related experiences were measured at three time points throughout the academic year and the respective scores were averaged for data analysis. Study delay was assessed at the end of the academic year (last time point). The hypothesised model was tested using path analysis. A higher amount of ERT was associated with a higher risk of study delay and this association was mediated by study-related experiences in two ways. First, a higher amount of ERT was related to lower education satisfaction, which in turn increased the risk of study delay. Second, a higher amount of ERT was related to lower education satisfaction, which in turn was associated with lower academic wellbeing, i.e. more academic burnout and less academic engagement, which in turn increased the risk of study delay. The findings suggest that education satisfaction and academic wellbeing are mechanisms underlying the detrimental effect of ERT on study performance, with education satisfaction playing a central role. To avoid students incurring study delay, universities are advised to implement ERT and online education in general in such a way that students' education satisfaction gets preserved.

We investigated the effectiveness of two different teaching methods based on two different theoretical views of how languages are learned in oral proficiency after three years of L2 French instruction. The first method is commonly used in the Netherlands and is in line with structure-based (SB) principles, viewing language as a set of grammar rules that need to be explained to achieve accuracy, usually in the L1. The second method aligns with dynamic-usage-based (DUB) principles in that language is viewed as a set of conventionalized routines that are learned through frequent exposure and the L2 is spoken exclusively in class. In a large study (Rousse-Malpat et al., 2019), the DUB method proved more effective, but the effects of method and L2 exposure could not be separated as the amount of L2 exposure is a crucial difference between the methods. However, one SB teacher spoke French almost exclusively, comparable to what happens in a DUB classroom. In this study, we compared this SB group with a DUB group matching in scholastic aptitude. The free oral L2 French production of 41 Dutch participants was measured in terms of holistic and analytical scores. The DUB method was more effective in terms of general proficiency, fluency, grammatical complexity, accuracy of the present tense, and overall L2 use. Our findings suggest that a teaching method in line with DUB principles is more beneficial in achieving overall oral proficiency and explicit grammar is not needed to achieve accuracy.

International universities often promote inclusive learning environments to aid their sojourners' social integration and improve their well-being. However, little is known about how social experiences with inclusion and integration (SEII) unfold for international PhD candidates in Dutch research universities (DRUs). This study uses the narratives of twenty IPCs to understand the factors that play a role in their SEII in a DRU. Findings suggest that nine factors may define SEII among the participants. Two factors--prior experiences in an ILE and identity in PhD role--played a role in participants' early SEII, while seven factors played a role in participants' early and later SEII. These included IPCs' social participation level, intercultural interaction dynamics, shared language adaptation, cultural events, university's international campus climate, social support, and perceived prejudice and stereotypes. IPCs and their international universities should align expectations to promote an inclusive social climate to foster social integration of IPCs.

Health professions education (HPE) research in the General Practice domain (GP-HPE) is vital for high-quality healthcare. Collaboration among GP-HPE researchers is crucial but challenging. Formulating a research agenda, involving stakeholders, and fostering inter-institutional collaboration can address these challenges and connect educational research and practice. We used Q-methodology to explore perspectives on GP-HPE research of participants from all Dutch postgraduate GP training institutes. Participants individually sorted statements based on the relevance of future GP-HPE research for educational practice. Data analysis comprised inverted factor analysis, rotation, and qualitative interpretation of configurations of all statements. The National Meeting on Educational Research took a participatory approach. We included 73 participants with diverse involvement in GP-HPE research. We identified five distinct perspectives, each representing a research focus area for developing and innovating GP education: the clinician scientist, the socially engaged GP, the specific GP identity, the GP as an entrepreneur, and the GP engaged in lifelong learning. The resulting five perspectives align with General Practice hallmarks. Q-methodology and a participatory approach facilitated collaboration among stakeholders. Successful inter-institutional collaboration requires a common goal, neutral leadership, participant commitment, regular meetings, audit trail support, process transparency, and reflexivity. Future research should address evidence gaps within these perspectives. Using Q-methodology turned out to be valuable for compiling a national research agenda for GP-HPE research. The research process helped to cross boundaries between researchers in different institutions, thus putting inter-institutional collaborative advantage center stage. Our approach could provide a conceivable procedure for HPE researchers worldwide.

The current study evaluated a brief, informant-based autism interview: the Developmental, Dimensional and Diagnostic Interview -- Adult Version (3Di-Adult). Feasibility, reliability and validity of the Dutch 3Di-Adult was tested amongst autistic participants (n = 62) and a non-autistic comparison group (n = 30) in the Netherlands. The 3Di-Adult consists of two scales based on DSM-5 criteria: A scale 'Social communication and social interaction' and B scale 'Restricted, repetitive patterns of behavior, interests or activities'. ROC curves were used to determine cut-off scores for the A and the B scale, using an ASD diagnosis made by an independent clinician as the criterion. Mean administration time was 42 min. Internal consistency of the A scale ([alpha] = 0.92) and the B scale ([alpha] = 0.85) were good. Inter-rater reliability (ICCs = 0.99) and inter-rater agreement (ICCs [greater than or equal to] 0.90) were promising. The 3Di-Adult showed good sensitivity (80.6%) and specificity (93.3%). Positive and negative predictive value were 96.2% and 70.0% respectively. Comparisons with the Autism-Spectrum Quotient-Short to investigate the convergent validity showed moderate, significant correlations with the 3Di-Adult in the total sample. Males, as compared to females, displayed significantly more autistic features on the 3Di-Adult. No relationship was found of the 3Di-Adult with education level, intelligence and age of the participants or informants. The feasibility and psychometric properties of the Dutch 3Di-Adult are promising, indicating that it can be a time-efficient, valid and reliable tool to use in diagnosing autism in adults according to DSM-5 criteria.

There has been little attention to personality in research on school refusal (SR). This study examined personality traits among 41 adolescents receiving cognitive-behavioral therapy (CBT) during participation in a School Refusal Program in the Netherlands. Traits were examined via clinical scales and 2-point code types derived from the Minnesota Multiphasic Personality Inventory--Adolescent. The influence of personality traits on treatment outcome was examined at post-treatment and 1-year follow-up. At pretreatment, eight of the 10 clinical scales were disproportionately skewed toward the "high to very high" range relative to a norm group. Social introversion and depressive symptomatology were significantly increased relative to the norm group, and nearly one-half of the adolescents were characterized by code type 2-3/3-2 (depression/hysteria) or 2-0/0-2 (depression/social introversion). Adolescents characterized by a 2-0/0-2 code type were almost twice as likely (odds ratio = 1.78) to be treatment responders at post-treatment. There was no relation between personality traits and treatment outcome at follow-up. The small sample size limits generalization of the study's findings. If the results are replicated, personality traits may provide useful indications for personalizing treatment when employing interventions recommended in CBT manuals for SR.

Background: Implementation issues often hinder reaching the potential of care technology to improve daily lives of people with intellectual disabilities. We investigated barriers to and facilitators of implementing different technology modalities (app/social robot/sensor/domotics) in long-term care. Method: Care professionals (N = 83) from 12 Dutch disability care organisations completed a customised measurement instrument for determinants of innovations (MIDI) questionnaire. Results: Out of 27 determinants, 20 were identified as facilitators and 16 as barriers. We highlight common barriers: few colleagues who work with the technology; no (awareness of) formal ratification of technology use; no arrangements regarding turnover of staff using the technology; unsettling organisational changes; technological defects and limited IT preconditions. Conclusions: The results, which could be combined and compared across study sites, provide insight into which implementation determinants were already well addressed, and where there is ground to gain when implementing care technology in disability care organisations.

The goal of the study was to deliver and validate a new solution-focused instrument, the Focus Skills Questionnaire (FSQ), to assess the degree of executive functioning skills in the school context, for three different education levels (elementary, secondary, and tertiary education) and informant groups (students, teachers and parents) on a sample of 1109 students from Dutch and Belgian schools. The factor structure was evaluated by confirmative factor analysis (CFA) and the study examined how students' self-reports of executive functioning skills related to outcomes of neuro-psychological tests of executive functions (EF). The CFA results showed a parsimonious model with a four-factor structure of the FSQ that was equivalent for all education levels and informant groups, but that does not correspond with the generally assumed executive functioning factors. There are differences in the perception of executive functioning skills by different informant groups and also differences per education level. Student perceptions of executive functioning skills do not correspond with EF test outcomes and in some subgroups clearly diverge from teacher or parent perceptions of the students' executive functioning skills. Although the new instrument does not converge with laboratory assessments of EF's, the new instrument could be useful in everyday school practice.

Siblings are important in the lives of individuals with an intellectual disability and pervasive support needs; however, adults' experiences of the things they do with or for their siblings with pervasive support needs remain underexplored. This study examined positive and challenging aspects of their roles related to their siblings. An online questionnaire was completed by 55 adults whose siblings had pervasive support needs. An inductive approach was used to thematically analyze open-ended questions about their experiences. The respondents described rewarding experiences of being with their siblings, combined with a sense of care and responsibility, and noted how their experiences were affected by their siblings' support needs. "Being of service" was experienced as both rewarding and as a demanding responsibility. Collaboration with family members and health care professionals was another overarching theme. Our findings highlighted the valuable mutual contributions of siblings in each other's life when one of them has pervasive support needs. Understanding adults' experiences relating to their siblings who have pervasive support needs enables service providers to facilitate their contact and support. In addition, these findings can provide input for government agencies and organizations that provide support for people with disabilities by increasing awareness about siblings' perspectives.