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Blaženka Divjak; Barbi Svetec; Damir Horvat – Journal of Computer Assisted Learning, 2024
Background: Sound learning design should be based on the constructive alignment of intended learning outcomes (LOs), teaching and learning activities and formative and summative assessment. Assessment validity strongly relies on its alignment with LOs. Valid and reliable formative assessment can be analysed as a predictor of students' academic…
Descriptors: Automation, Formative Evaluation, Test Validity, Test Reliability
Davis, Mariah N. – ProQuest LLC, 2023
This study investigated the reliability and validity of the Abbreviated Math Anxiety Scale (AMAS; Hopko, Bare, & Hunt, 2003) and the Math Anxiety Scale -- Revised (MAS-R; Bai, 2009) across race and gender as well as the extent to which race and gender predict learning math anxiety and math evaluation anxiety at both the secondary level, which…
Descriptors: Mathematics Anxiety, Test Validity, Test Reliability, Racial Differences
Razmi, Mohammad Hasan; Khabir, Masoud; Tilwani, Shouket Ahmad – International Journal of Language Testing, 2021
Since its inception in 1949, over 1,500 studies have investigated the validity of the GRE General Test to predict its performance criteria in higher education (Klieger, Bridgeman, Tannenbaum, & Cline, 2016). The present review paper sought to examine the predictive validity of the GRE General Test. Factors affecting the predictive validity…
Descriptors: Meta Analysis, Predictive Validity, College Entrance Examinations, Graduate Study
Anderson, Darcie L.; Hooks, Tisha – Journal of College Student Retention: Research, Theory & Practice, 2022
With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…
Descriptors: College Freshmen, Expectation, Predictor Variables, Academic Achievement
Kukul, Volkan – Technology, Knowledge and Learning, 2023
This study aims to investigate the relationships among training on technology integration, self-efficacy, and technology acceptance. In this sense, the two-phase study firstly validated an instrument and then, the relationships among the specified factors were tested through structural equation modeling. While 384 pre-service teachers participated…
Descriptors: Technology Integration, Preservice Teachers, Educational Technology, Preservice Teacher Education
Tang, Hui; Huo, Zhongkai; Liu, Chaojie; Liu, Zhijun; Wong, Y. Joel – Journal of Psychoeducational Assessment, 2021
This study tested the factor structure, reliability, and criterion validity of the Academic Encouragement Scale (AES) in 690 university students in China. The AES displayed good internal consistency and test--retest reliability. The data provided evidence supporting a two-factor structure: challenge focused encouragement (CFE) and potential…
Descriptors: Psychometrics, Academic Achievement, Measures (Individuals), Foreign Countries
Li, Qi; Jiang, Qiang; Liang, Jyh-Chong; Pan, Xingzhu; Zhao, Wei – Australasian Journal of Educational Technology, 2022
Given the importance of student engagement for educational success, it is essential to explore how teachers can stimulate student engagement in online learning environment. However, relatively little research drawing from self-determination theory has examined the links between teaching motivations and student engagement. To this end, this study…
Descriptors: Teaching Methods, Learner Engagement, Online Courses, Foreign Countries
Cutumisu, Maria; Adams, Catherine; Glanfield, Florence; Yuen, Connie; Lu, Chang – IEEE Transactions on Education, 2022
The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The…
Descriptors: Structural Equation Models, Preservice Teachers, Thinking Skills, Computation
Umurkulova, Madina Maximovna; Sabirova, Raikhan Shaikhishevna; Slanbekova, Gulnara Kobylanovna; Kabakova, Maira Pobedovna; Kalymbetova, Elmira Kenesovna – International Journal of School & Educational Psychology, 2022
This article describes the process of adaptation of the Russian version of The Student Well-being Process Questionnaire (Student WPQ). A sample of 408 Kazakhstan university students completed the adapted Student WPQ. The exploratory factor analysis revealed five factors, explaining 67.38% of the total variance that were consistent with the…
Descriptors: Well Being, Coping, Questionnaires, Predictor Variables
Joyce, Hannah; Aguado-Orea, Javier – International Journal of Developmental Science, 2022
The Assessment of Language in Adults using Self-reported Skills (ALASS) is an online tool aimed at providing a rapid indication of language-related skills at two levels: basic performance and social use. In Study 1, we have developed and validated a new tool with two objective measures: a lexical decision test and a grammaticality judgement test,…
Descriptors: Adults, Language Skills, Interpersonal Communication, Predictor Variables
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Kokoç, Mehmet; Kara, Mehmet – Educational Technology & Society, 2021
The purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conducted with 83 online learners enrolled in a 16-week…
Descriptors: Learning Analytics, Electronic Learning, Measures (Individuals), Test Validity
Nicholas C. Matthews – ProQuest LLC, 2021
Accessible instructional materials are materials which can be used by students with disabilities as easily, effectively, and thoroughly as students without disabilities. Unfortunately, policy evidence suggests the California Community Colleges are not ensuring instructional materials are accessible. Surprisingly, while accessibility is often…
Descriptors: Instructional Materials, Accessibility (for Disabled), Students with Disabilities, Community Colleges
Çevik, Mustafa; Ata, Ridvan – i.e.: inquiry in education, 2019
The aim of this study was to adapt the STEAM Attitude Scale developed by Kim and Bolger (2017) in order to explain the STEAM attitudes of preservice teachers, and test a structural equation model composed of the attitude towards art and STEM awareness and some other variables. The study group consisted of 429 preservice teachers who were studying…
Descriptors: Foreign Countries, Attitude Measures, STEM Education, Art Education