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Sher Muhammad Awan; Rashid Hussain; Khalid Saleem – Pakistan Journal of Distance and Online Learning, 2024
The objective of this study was to find effect of Jazz smart classroom's online quiz on academic achievement of students at secondary school level. Experimental design was used in which two groups were selected one was control and other was experimental group. Experimental group was given a treatment of six weeks by using Jazz Smart Classroom's…
Descriptors: Educational Technology, High School Students, Computer Assisted Testing, Academic Achievement
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests
Lei Jiang; Na Yu – Education and Information Technologies, 2024
This research aims to address the challenges of digital transformation in education by understanding the digital competence of teachers through a mixed-methods approach. The grounded theory is employed to develop the Teachers' Digital Competence Model (TDCM), which is structured around three facets: development, pedagogy, and ethics. Within these…
Descriptors: Educational Technology, Teacher Competencies, Technological Literacy, Ethics
Sarintan N. Kaharu; Yusdin Gagaramusu; Azizah Azizah; Nurul Kamisani; Nurgan Tadeko; Jusman Mansyur – Pegem Journal of Education and Instruction, 2024
This study aims to develop an online test that can be used to characterize students' conception of objects in static fluid. The test developed by carried out several stages, namely: modified previous essay test and formed the Tier-1 of multiple-choice questions with options taken from the findings previous studies; combined the reasons for…
Descriptors: Test Construction, Scientific Concepts, Concept Formation, Computer Assisted Testing
Ahmad, Nor Shafrin; Zaharudin, Rozniza; Khairani, Ahmad Zamri – International Journal of Educational Methodology, 2022
Anger is a topic that requires intervention from teachers, counsellors, psychologists, parents, and all communities. The expressions of anger are subjective and sometimes hard to identify. Thus, anger should be measured more objectively, while the expressions need to be examined closely. The purpose of this study is to provide valid confirmation…
Descriptors: Psychological Patterns, Test Validity, Psychometrics, Adolescents
Parker, Mark A. J.; Hedgeland, Holly; Jordan, Sally E.; Braithwaite, Nicholas St. J. – European Journal of Science and Mathematics Education, 2023
The study covers the development and testing of the alternative mechanics survey (AMS), a modified force concept inventory (FCI), which used automatically marked free-response questions. Data were collected over a period of three academic years from 611 participants who were taking physics classes at high school and university level. A total of…
Descriptors: Test Construction, Scientific Concepts, Physics, Test Reliability
Latifi, Syed; Gierl, Mark – Language Testing, 2021
An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix for a novel AES program that would score junior and senior high school students' essays from…
Descriptors: Writing Evaluation, Computer Assisted Testing, Scoring, Essays
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie; McFadden, Sara; Reynolds, Dan; Lantos, Tess; Jones, Sara – Assessment for Effective Intervention, 2022
Assessment of language skills for upper elementary and middle schoolers is important due to the strong link between language and reading comprehension. Yet, currently few practical, reliable, valid, and instructionally informative assessments of language exist. This study provides validation evidence for Monster, P.I., which is a gamified,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Vocabulary
Lai, Rina P. Y. – ACM Transactions on Computing Education, 2022
Computational Thinking (CT), entailing both domain-general and domain-specific skills, is a competency fundamental to computing education and beyond. However, as a cross-domain competency, appropriate assessment design and method remain equivocal. Indeed, the majority of the existing assessments have a predominant focus on measuring programming…
Descriptors: Computer Assisted Testing, Computation, Thinking Skills, Computer Science Education
New York State Education Department, 2024
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts, Mathematics, and Grades 5 & 8 Science Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed…
Descriptors: Testing Programs, Language Arts, Mathematics Tests, Science Tests
Lim, Lyndon – Journal of Psychoeducational Assessment, 2020
This article outlines the development and validation of the Computer-Delivered Test (CDT) Acceptance Questionnaire (CTAQ). The CTAQ was designed to be a practical measure of CDT acceptance of Singapore secondary and high school students (Grades 7-12) toward taking tests within an e-assessment system. The stages of test (questionnaire item)…
Descriptors: Student Attitudes, High School Students, Secondary School Students, Computer Assisted Testing
Russo-Ponsaran, Nicole M.; McKown, Clark; Karls, Ashley; Wu, Irene Y. H. – Grantee Submission, 2021
Virtual Environment for Social Information Processing (VESIP™) is a web-based social information processing assessment developed for youth in grades 3-7. VESIP was developed to address: (1) the broader assessment of social information processing in a variety of socially challenging situations; and (2) the need for technically strong and scalable…
Descriptors: Computer Assisted Testing, Interpersonal Competence, Computer Simulation, Test Reliability