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Direct linkSharon R. Mittiga; Nerelie C. Freeman; Brett E. Furlonger; Perrin Chan; Erin S. Leif – Journal of Positive Behavior Interventions, 2025
This study evaluated the quality and behavior change techniques (BCTs) included in 11 freely available mobile classroom behavior management applications (mCBM apps). We found that mCBM apps included a limited number of BCTs, with an average of 9 of 21 possible BCTs. Consequence-based BCTs like rewards and feedback were common, while…
Descriptors: Behavior Modification, Student Behavior, Computer Uses in Education, Positive Behavior Supports
Hannes Schilling; Britta Wittner; Stephanie Hirschberger; Simone Kauffeld – European Journal of Education, 2025
This article contributes to current literature by introducing and evaluating a digital onboarding tool for higher education. It presents the content and technical design of the tool, as well as evaluative results. The content structure of our digital onboarding tool was developed based on previous literature regarding student integration and…
Descriptors: Higher Education, College Bound Students, College Freshmen, School Orientation
Jessica Klein; Sharon Medina; Kevin M. Spath; Callie A. Hill; Christoph Li; Isabelle Hwang; Krystina E. Olson; Chih-Chin Chou – Journal of Special Education Technology, 2025
The challenges faced by transition-age youth (TAY) with level one autism spectrum disorder (L1-ASD) during the transition to adulthood can be exacerbated by disability-related hurdles, particularly in employment and post-secondary education. Existing social skills training interventions for TAY with ASD often include building social narratives and…
Descriptors: Autism Spectrum Disorders, Transitional Programs, Youth, Interpersonal Competence
Fadip Audu Nannim; Nnenna Ekpereka Ibezim; George Chibuike Agbo; Chukwuma Mgboji; Saint Oliver Rotachukwu Ngwoke; Moeketsi Mosia – ACM Transactions on Computing Education, 2025
The integration of digital technology into various sectors has transformed education globally, yet its adoption in Nigeria remains constrained by a lack of adequately trained personnel. This study addresses this gap by developing a Project-Based Arduino Robot Application (PARA) for teaching Robotics Programming to preservice teachers. A Research…
Descriptors: Educational Technology, Technology Uses in Education, Robotics, Programming
Sarah E. Frampton; Judah B. Axe – Analysis of Verbal Behavior, 2025
Technology offers exciting possibilities for instruction with learners with autism spectrum disorder (ASD), but limited research has evaluated the use of web-based applications (apps) as learning tools for this population. We wondered if using apps would function as a precurrent response to solve problems in the form of questions on a worksheet.…
Descriptors: Technology Uses in Education, Students with Disabilities, Autism Spectrum Disorders, Computer Software
M. Fagerström; M. Löf; U. Müssener; M. Neher; S. B. Nutley; K. Thomas – School Mental Health, 2025
The prevalence of mental health issues among adolescents is alarmingly rising. Using mobile phones as tools for promoting mental health can complement school-based health promotion efforts. However, for widespread reach, schools must systematically implement these tools and the students themselves may play an important role in achieving this.…
Descriptors: Foreign Countries, School Health Services, Mental Health, Handheld Devices
Shibru Seboka; Joseph Nehru; Tariku Sime – Discover Education, 2025
This study investigated the impacts of a design-based professional development (DBPD) training program on English language teacher educators' (ELTEs') integration of Google Apps into course instruction at Jimma College of Teacher Education, Ethiopia. Using a mixed-method case study design, the study examined ELTEs' pre-training digital literacy…
Descriptors: Faculty Development, Teacher Educators, Technology Integration, Computer Oriented Programs
Ecenur Demir; Adem Akbiyik – Education and Information Technologies, 2025
Digital nudging is a subtle technique used to guide individuals' behaviors and influence their decision-making processes in online environments. This study highlights the critical role of digital nudging in enhancing the educational experiences of students in distance learning settings. It suggests that digital nudges can mitigate some of the…
Descriptors: Electronic Learning, Prompting, Educational Technology, Distance Education
Carlos Mera Cantillo; Estíbaliz Aragón Mendizábal; Malena Manchado Porras; Maria Inmaculada Menacho Jimenez; Flavia S. Arrigoni; Mari Carmen Canto López; Jose I. Navarro Guzmán – Electronic Journal of Research in Educational Psychology, 2025
Introduction: The main objective of this study was to validate six educational applications developed to train the cognitive precursors associated with mathematics learning in early childhood education students. Method: The mathematical performance of 193 preschool students aged 57 to 79 months (M=63.3, SD=3.7) from various schools was assessed…
Descriptors: Educational Technology, Technology Uses in Education, Computer Oriented Programs, Preschool Education
Heba Abou-El-Sood – Accounting Education, 2025
The surge in technology adoption has transformed students into 'digital natives' who require innovative teaching methods to enhance their engagement and learning. This paper investigates the impact of integrating QuickBooks®, an accounting mobile app, on students' learning, engagement, and interest in the course. It utilizes a survey questionnaire…
Descriptors: Accounting, Educational Technology, Technology Uses in Education, Telecommunications
Lukkamol Prapkree; Rianna Deringer; Catherine Coccia; Fatma Huffman; Cristina Palacios – Journal of American College Health, 2025
Objective: To determine if using the Snackability app improves snack intake among college students. Participants: US college students with overweight/obesity were recruited in June 2020-April 2021. Methods: A randomized controlled trial was conducted to test the Snackability app use for 12 wk on snack scores (calculated from the app) compared to…
Descriptors: College Students, Obesity, Intervention, Eating Habits
Sarah J. Wallace; Zheng Yen Ng; Bridget Burton; Megan Isaacs; Ryan Deslandes; Gopal Sinh; Kim Barron; Phill Jamieson; Kirstine A. Shrubsole; David A. Copland; Janet Wiles; Victoria J. Palmer; Pippa Evans; Kyla Hudson; Anthony J. Angwin; Annie J. Hill; Barbra H. B. Timmer; Matthew J. Gullo; Jessica H. Campbell; Peter Worthy – International Journal of Language & Communication Disorders, 2025
Background: Speech and language therapy for post-stroke aphasia (language/communication impairment) improves language and communication in the short-term; however, access to therapy is limited, and effects are not always maintained. Mobile Health (mHealth) applications may support long-term therapy access and maintenance of gains. We present a…
Descriptors: Neurological Impairments, Aphasia, Rehabilitation, Speech Therapy
Liu Yifu; Ma Yan; Huang Libing; Xiao Chunling; Ding Tao – Education and Information Technologies, 2025
Interventions utilizing human-computer interaction (HCI) in autism rehabilitation have gained popularity, yet their efficacy has not been fully elucidated. This meta-analysis assessed 30 international studies from the past decade that employed HCIs for autism intervention. The findings revealed a moderate positive effect (g = 0.484) on improving…
Descriptors: Man Machine Systems, Interaction, Intervention, Autism Spectrum Disorders
Hans Humenberger – Teaching Statistics: An International Journal for Teachers, 2025
In the last years special "ovals" appear increasingly often in diagrams and applets for discussing crucial items of statistical inference (when dealing with confidence intervals for an unknown probability p; approximation of the binomial distribution by the normal distribution; especially in German literature, see e.g. [Meyer,…
Descriptors: Computer Oriented Programs, Prediction, Intervals, Statistical Inference
Matt Kessler; Shawn Loewen; Talip Gönülal – Computer Assisted Language Learning, 2025
Despite the influx of research examining various aspects of mobile-assisted language learning (MALL) applications (apps) over the past two decades, there have been no head-to-head studies that have investigated the comparative effectiveness of different mobile apps. The current study addresses this gap by directly comparing two of the most…
Descriptors: Handheld Devices, Telecommunications, Technology Uses in Education, Second Language Learning
