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Bolat, Yusuf Islam; Tas, Nurullah – Education and Information Technologies, 2023
The purpose of this meta-analysis was to examine the effects of Gamified-Assessment Tools (GAT) used in formal educational settings on student academic achievement. We used PRISMA systematic procedures to screen the articles across Web of Science, ERIC, Scopus, Pubmed, and PsycArticles databases. We identified 23 independent results from 17…
Descriptors: Gamification, Student Evaluation, Academic Achievement, Computer Assisted Testing
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Ahmed Abdel-Al Ibrahim, Khaled; Karimi, Ali Reza; Abdelrasheed, Nasser Said Gomaa; Shatalebi, Vida – Language Testing in Asia, 2023
Dynamic assessment is heavily based on Vygotskian socio-cultural theory and in recent years researchers have shown interest in the theory as a way to facilitate learning. This study attempted to examine the comparative effect of group dynamic assessment (GDA) and computerized dynamic assessment (CDA) on listening development, L2 learners'…
Descriptors: Evaluation Methods, Computer Assisted Testing, Second Language Learning, Listening Skills
Weiling Li; Aaron Butler; Catherine Oberle; Anabil Munshi; Amy J. Dray – Online Submission, 2023
Edmentum offers a personalized learning platform called Exact Path. This quasi-experimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to assess the efficacy of Exact Path in a district from the Midwestern United States. The goal was to provide specific recommendations to educators…
Descriptors: Achievement Tests, Scores, Educational Technology, Reading Achievement
Peter Organisciak; Selcuk Acar; Denis Dumas; Kelly Berthiaume – Grantee Submission, 2023
Automated scoring for divergent thinking (DT) seeks to overcome a key obstacle to creativity measurement: the effort, cost, and reliability of scoring open-ended tests. For a common test of DT, the Alternate Uses Task (AUT), the primary automated approach casts the problem as a semantic distance between a prompt and the resulting idea in a text…
Descriptors: Automation, Computer Assisted Testing, Scoring, Creative Thinking
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Al-Mwzaiji, Khaled Nasser Ali; Alzubi, Ali Abbas Falah – Asian-Pacific Journal of Second and Foreign Language Education, 2022
Students need more independent roles to evaluate their learning performance, especially in the absence of teachers' feedback due to some constraints such as technology and poor experience. This study investigates the potential of online self-evaluation on students' writing skills in English as a foreign language (EFL). It examines the preparatory…
Descriptors: Self Evaluation (Individuals), Writing Skills, English (Second Language), Second Language Instruction
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Abdulhadi Shoufan – ACM Transactions on Computing Education, 2023
With the immense interest in ChatGPT worldwide, education has seen a mix of both excitement and skepticism. To properly evaluate its impact on education, it is crucial to understand how far it can help students without prior knowledge answer assessment questions. This study aims to address this question as well as the impact of the question type.…
Descriptors: Prior Learning, Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing
Jiyeo Yun – English Teaching, 2023
Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…
Descriptors: Meta Analysis, Interrater Reliability, Essays, Scoring
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Mertens, Ute; Finn, Bridgid; Lindner, Marlit Annalena – Journal of Educational Psychology, 2022
Feedback is one of the most important factors for successful learning. Contemporary computer-based learning and testing environments allow the implementation of automated feedback in a simple and efficient manner. Previous meta-analyses suggest that different types of feedback are not equally effective. This heterogeneity might depend on learner…
Descriptors: Computer Assisted Testing, Feedback (Response), Electronic Learning, Network Analysis
Yue Huang – ProQuest LLC, 2023
Automated writing evaluation (AWE) is a cutting-edge technology-based intervention designed to help teachers meet their challenges in writing classrooms and improve students' writing proficiency. The fast development of AWE systems, along with the encouragement of technology use in the U.S. K-12 education system by the Common Core State Standards…
Descriptors: Computer Assisted Testing, Writing Tests, Automation, Writing Evaluation