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Showing 1 to 15 of 47 results Save | Export
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Guangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
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Zhenyu Zhou; Oksana Mkrtichian – European Journal of Education, 2025
Academic stress, an endemic phenomenon in higher education, presents a multifaceted challenge, manifesting as cognitive overload, affective dysregulation and physiological destabilisation. It leads to recurrent feedback loops that reinforce anxiety and frustration, intensifying maladaptive stress responses. This study examines the extent to which…
Descriptors: Singing, Music, Anxiety, Rating Scales
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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
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Yoshioka, Sérgio R. I.; Ishitani, Lucila – Informatics in Education, 2018
Computerized Adaptive Testing (CAT) is now widely used. However, inserting new items into the question bank of a CAT requires a great effort that makes impractical the wide application of CAT in classroom teaching. One solution would be to use the tacit knowledge of the teachers or experts for a pre-classification and calibrate during the…
Descriptors: Student Motivation, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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Glod, Magdalena; Creswell, Cathy; Waite, Polly; Jamieson, Ruth; McConachie, Helen; South, Mikle Don; Rodgers, Jacqui – Journal of Autism and Developmental Disorders, 2017
The Spence Children's Anxiety Scale-Parent version (SCAS-P) is often used to assess anxiety in children with autism spectrum disorder (ASD), however, little is known about the validity of the tool in this population. The aim of this study was to determine whether the SCAS-P has the same factorial validity in a sample of young people with ASD (n =…
Descriptors: Autism, Pervasive Developmental Disorders, Anxiety, Affective Measures
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Raymaker, Dora M.; McDonald, Katherine E.; Ashkenazy, Elesia; Gerrity, Martha; Baggs, Amelia M.; Kripke, Clarissa; Hourston, Sarah; Nicolaidis, Christina – Autism: The International Journal of Research and Practice, 2017
Our objective was to use a community-based participatory research approach to identify and compare barriers to healthcare experienced by autistic adults and adults with and without other disabilities. To do so, we developed a Long- and Short-Form instrument to assess barriers in clinical and research settings. Using the Barriers to Healthcare…
Descriptors: Barriers, Access to Health Care, Autism, Disabilities
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Lowe, Patricia A.; Ang, Rebecca P. – Journal of Psychoeducational Assessment, 2016
Tests of measurement invariance were conducted across culture and gender on the Revised Children's Manifest Anxiety Scale-Second Edition (RCMAS-2) Short Form in a sample of 1,003 Singapore and U.S. adolescents. The results of multi-group confirmatory factor analyses across culture and gender supported at least partial measurement invariance. ANOVA…
Descriptors: Measurement Techniques, Cultural Differences, Gender Differences, Comparative Analysis
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Downs, Andrew; Boucher, Laura A.; Campbell, Duncan G.; Polyakov, Anita – Journal of College Student Development, 2017
There is a clear need for colleges to do a better job of identifying students who may benefit from treatment and encouraging those students to actually seek help (Hunt & Eisenberg, 2010). Indeed, research suggests that population-based screening can encourage college students who are at risk for mental health problems to seek treatment (Kim,…
Descriptors: Well Being, At Risk Students, Mental Disorders, Depression (Psychology)
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Zainal, Hani; Magiati, Iliana; Tan, Julianne Wen-Li; Sung, Min; Fung, Daniel S.; Howlin, Patricia – Journal of Autism and Developmental Disorders, 2014
Despite high rates of clinically elevated anxiety difficulties in children and adolescents with autism spectrum disorders (ASDs), very few studies have systematically examined the usefulness of commonly used caregiver report anxiety screening tools with this population. This study investigated the use of the Spence Children's Anxiety…
Descriptors: Screening Tests, Pervasive Developmental Disorders, Autism, Caregiver Attitudes
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Hammes, Patricia Simone; Bigras, Marc; Crepaldi, Maria Aparecida – International Journal of Research & Method in Education, 2016
We tested the criterion-related validity and potential bias of two measures of pupils' academic achievement: the Teacher Rating Scale (TRS) and the Mathematics and Literacy Achievement Tests (MLTs). These measures are representative of assessment methods largely used in the elementary school. The aims were: (1) to verify the extent to which TRS…
Descriptors: Foreign Countries, Academic Achievement, Validity, Bias
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Beard, Courtney; Rodriguez, Benjamin F.; Weisberg, Risa B.; Perry, Ashley; Keller, Martin B. – Hispanic Journal of Behavioral Sciences, 2012
The Liebowitz Social Anxiety Scale (LSAS) is one of the most commonly used measures of social anxiety symptoms. To date, no study has examined its psychometric properties in a Latino sample. The authors examined the reliability, temporal stability, and convergent validity of the LSAS in 73 Latinos diagnosed with an anxiety disorder. The original…
Descriptors: Anxiety Disorders, Investigations, Validity, Factor Structure
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Khawaja, Nigar G.; Yu, Lai Ngo Heidi – Clinical Psychologist, 2010
The 27-item Intolerance of Uncertainty Scale (IUS) has become one of the most frequently used measures of Intolerance of Uncertainty. More recently, an abridged, 12-item version of the IUS has been developed. The current research used clinical (n = 50) and non-clinical (n = 56) samples to examine and compare the psychometric properties of both…
Descriptors: Predictive Validity, Psychometrics, Anxiety, Measures (Individuals)
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