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Hyunhee Kim; Matthew E. Lemberger-Truelove; LeAnn N. Wills; Elishia J. Basner; Jennifer L. Tipton – Professional School Counseling, 2024
The purpose of this content analysis was to examine the use of theory in school-counselor-led interventions. Specifically, we examined intervention characteristics, evaluation design, and use of theory in school-counselor-led intervention studies that were published by the American Counseling Association, the American School Counselor Association…
Descriptors: School Counseling, Educational Research, Theories, Professional Associations
Silvia Beunza-García; Carpintero-Molina Elvira; Bel-Fenellós Cristina – Journal of Research in Special Educational Needs, 2025
Despite advances in the inclusion of people with intellectual disabilities in society, there are still negative attitudes toward them. For this reason, it is considered necessary to carry out interventions aimed at changing attitudes toward this group and the characteristics of such interventions should be analysed. To this end, a review of the…
Descriptors: Attitudes toward Disabilities, Attitude Change, Intervention, Intellectual Disability
Jennifer Schluer; Annika Brück-Hübner – Assessment & Evaluation in Higher Education, 2025
Feedback is a key factor for learning success and has therefore been widely studied in higher education. As feedback is a highly contextualized practice serving various learner needs, researchers have utilized a plethora of feedback designs in their intervention studies. This diversity in feedback conceptualizations and pedagogical designs often…
Descriptors: Feedback (Response), Higher Education, Program Design, Program Effectiveness
Matthew Jones; Marita Falkmer; Ben Milbourn; Tele Tan; Sven Bölte; Sonya Girdler – Review Journal of Autism and Developmental Disorders, 2023
Strength-based programs that incorporate technology have gained increasing popularity as an approach to improve outcomes for individuals with autism spectrum disorder (ASD). Despite this, the core elements of strength-based technology programs remain poorly described. This study aimed to identify the core elements of strength-based technology…
Descriptors: Technology Integration, Autism Spectrum Disorders, Youth Programs, Intervention
Sean C. Austin; Kent McIntosh; Sara Izzard; Brooke Daugherty – Journal of Behavioral Education, 2024
Cultural responsiveness, or building on the strengths of the learning histories and social contingencies of students, is an important feature of instruction to engage students and ensure they feel represented in their classrooms. This systematic literature review examined which single-case designs have been used to study culturally responsive…
Descriptors: Culturally Relevant Education, Intervention, Student Behavior, Program Design
Paul Sharp; Caitlin Sankey; John L. Oliffe; Nico Schulenkorf; Cristina M. Caperchione – Health Education & Behavior, 2025
Over the past decade, there has been an increased emphasis on tailoring men's health promotion programs. To optimize outcomes, participatory action research that involves and elicits feedback from end-users has been highlighted as important to creating gender-responsive interventions. In this scoping review, we examine (a) how participatory action…
Descriptors: Health Promotion, Males, Program Design, Gender Issues
Jessica Monahan; Brian Freedman; Kerry Pini; Rebecca Lloyd – Review Journal of Autism and Developmental Disorders, 2023
There has been a recent increase in research on social skills interventions for young adults on the autism spectrum. However, little is known about how autistic adults inform the design and measurement of these interventions. In this systematic literature review, 26 studies published over the past 20 + years were examined following a comprehensive…
Descriptors: Autism Spectrum Disorders, Interpersonal Competence, Skill Development, Intervention
Kerry Danahy Ebert; HaeJi Lee – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Treatment response is the degree to which an individual benefits from a treatment. This systematic review sought to identify and synthesize research evidence regarding individual characteristics that predict language treatment response among children with developmental language disorder (DLD). Method: To be eligible for inclusion,…
Descriptors: Young Children, Preadolescents, Developmental Delays, Language Impairments
Gu, Peidi; Xu, Xinhao; Qian, Xueqin; Weng, Tsung-Han – IEEE Transactions on Learning Technologies, 2023
Multiple studies have examined learning and training for autistic students to improve their quality of life by using eXtended-Reality (XR) technologies, which mainly include virtual reality (VR), augmented reality (AR), and mixed reality (MR). Nevertheless, little is known about how technical features and technology affordances of the XR…
Descriptors: Computer Simulation, Simulated Environment, Affordances, Autism Spectrum Disorders
Emerson, Amanda; Pickett, Michelle; Moore, Shawana; Kelly, Patricia J. – Prevention Science, 2023
Despite a robust field of study in healthy romantic relationship education and risk prevention interventions that employ traditional forms of delivery, the field of digital health interventions (DHIs) in healthy relationship programming for adolescents remains undefined. The purpose of this scoping review was to summarize the scope of published…
Descriptors: Health Promotion, Dating (Social), Intimacy, Adolescents
Sacca, Lea; Doumat, George; Rihan, Alaa; Maroun, Jonathan; Ejezie, Chinenye – American Journal of Health Education, 2023
Background: Despite the availability of health resources such as immunizations on campus, HPV vaccination rates in college students remain low with existing gender disparities in HPV vaccine uptake. Purpose: The purpose of this systematic review was to identify common limitations to HPV vaccination interventions among college students, utilized…
Descriptors: Health Promotion, Immunization Programs, College Students, Sexually Transmitted Diseases
Tyler, Patrick M.; Mason, W. Alex; Vollmer, Barb; Trout, Alexandra L. – Child & Youth Care Forum, 2021
Background: There is a growing emphasis of evidence-based program requirements being integrated into social welfare policies for youth care services in the U.S. This trend highlights the need for increased practitioner understanding and involvement in the research process to develop and implement evidence-based programs for youth with emotional…
Descriptors: Evidence Based Practice, Social Services, Residential Programs, Emotional Disturbances
Law, James; Dornstauder, Melanie; Charlton, Jenna; Gréaux, Mélanie – International Journal of Language & Communication Disorders, 2021
Background: Many healthcare and educational services providers have undergone a rapid transition from a face-to-face to a tele-practice mode of service delivery in the context of the COVID-19 outbreak. This, in turn, has led to a need to understand better the evidence underpinning such moves. Based on a review of existing reviews, this paper…
Descriptors: Communication Disorders, Teleconferencing, COVID-19, Pandemics
Daley, Samantha G.; McCarthy, Michael F. – Remedial and Special Education, 2021
This systematic review examines the social and emotional learning (SEL) intervention literature to address questions of whether and how students with disabilities are considered in studies of universal SEL interventions in middle and high schools. From the articles identified for initial review (n = 4,355), 166 met the inclusionary criteria. Among…
Descriptors: Students with Disabilities, Social Emotional Learning, Intervention, Middle School Students
Kayleigh K. Hyde; Marlena N. Novack; Nicholas LaHaye; Chelsea Parlett-Pelleriti; Raymond Anden; Dennis R. Dixon; Erik Linstead – Review Journal of Autism and Developmental Disorders, 2019
Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Clinical Diagnosis, Intervention

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