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On-Soon Lee – Journal of Pan-Pacific Association of Applied Linguistics, 2024
Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Improving English Speaking Skills in a College General English Course Using Metacognitive Strategies
Myeong Hee Shin – English Teaching, 2024
This study aimed to assess the effectiveness of metacognitive methods in college general English classes to improve students' communication skills and metacognitive awareness. The approach involved structuring learning activities where students adapted movie dialogues, practiced roles, collaborated with peers, and received feedback on…
Descriptors: Metacognition, Program Effectiveness, Communication Skills, College Students
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Tom Benton – Research Matters, 2024
Educational assessment is used throughout the world for a range of different formative and summative purposes. Wherever an assessment is developed, whether by a teacher creating a quiz for their class, or by a testing company creating a high stakes assessment, it is necessary to decide how long the test should be. Specifically, how many questions…
Descriptors: Foreign Countries, High Stakes Tests, Test Length, Test Construction
Heuiju Chun; Byunghak Leem; Jongchan Lee – Asia-Pacific Education Researcher, 2025
This study investigates the asymmetric effects of quality attributes on student satisfaction in Korean higher education. Using Penalty-Reward-Contrast and Asymmetric Impact-Performance Analysis, it classifies attributes into basic (major and liberal arts curriculum, non-curricular courses, educational environment), one-dimensional (administrative…
Descriptors: Foreign Countries, Higher Education, College Students, Student Satisfaction
Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
Mihyun Son; Minsu Ha – SAGE Open, 2024
This study examined the impact of online peer assessment based on descriptive questions on student learning in Korea. The validity of the scores for student-written descriptive responses rated by middle and high school students were compared to teacher grading. The impact of peer assessment activities based on descriptive questions on student…
Descriptors: Foreign Countries, Middle School Students, High School Students, Peer Evaluation
Dongkwang Shin; Jang Ho Lee – Education and Information Technologies, 2024
In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
Kyung Ran Roh; Eun Bee Kim – SAGE Open, 2024
The purpose of this study is to analyze the effect of family socioeconomic background on university rankings, efforts in VETs, and job satisfaction of university graduates. The family socioeconomic background and mediation potential, which are independent variables, are identified through university rankings to identify mechanisms that affect job…
Descriptors: Job Satisfaction, Labor Force Development, Family Characteristics, Socioeconomic Background
Qian Wang; Abdul Halim Abdullah – SAGE Open, 2024
Critical thinking (CT) is an essential competency for global citizens in the 21st century. Few systematic reviews have evaluated and analyzed instructional interventions to enhance CT in mathematics at the university. This study includes 15 studies on cultivating CT among undergraduate students through instructional interventions within the…
Descriptors: Critical Thinking, College Mathematics, Mathematics Instruction, Intervention
Daniel Bailey; Norah Almusharraf; Frank Bennett – Education and Information Technologies, 2024
Normative grading compounded with socio-educational conditions in East Asian countries amplifies the effect competition beliefs have on learning outcomes. Competition beliefs may be especially influential in videoconference courses since some students feel reluctant to interrupt the instructor, avoid talking over others, or dominate the class…
Descriptors: Grading, Outcomes of Education, Competition, Videoconferencing
Seo Yeon Cho; Tami Im – Education and Information Technologies, 2024
The purpose of this study is to identify the structural relationships among online class related factors, zoom fatigue, learning engagement, perceived achievement, and class satisfaction in a university distance learning context. The study analyzed 265 responses from K University in Korea. The key findings of the study are first, situational…
Descriptors: Foreign Countries, Electronic Learning, College Students, Distance Education
Hyejin Cho; YouJin Kim – Language Teaching Research, 2024
Although digital multimodal composing (DMC) is receiving increasing attention in language classrooms, the extent to which it contributes to students' writing practices is controversial. In order to understand the affordances of DMC compared to traditional monomodal writing in school contexts, it is pertinent to compare DMC and traditional writing…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Task Analysis
Yoonkyeong Bae; YeonJoo Jung – English Teaching, 2024
With technological advancements, Automated Writing Evaluation (AWE) has garnered increasing interest in L2 writing research, significantly enhancing our understanding of AWE tools' practices and efficacy in L2 writing instruction. However, the relationships between feedback types (teacher vs. AWE) and different dimensions of engagement (cognitive…
Descriptors: Feedback (Response), Learner Engagement, Second Language Learning, Writing (Composition)
BoAe Im; HyunSoo Oh; SooHyun Kim; HyeSun Jeong; WhaSook Seo – Health Education & Behavior, 2024
Rheumatic diseases are known to be associated with the development of metabolic syndrome, which increases mortality rates due to cardiovascular complications. Although a variety of self-management programs for rheumatic diseases have been developed, few have concentrated on metabolic syndrome. This study aimed to develop and verify a blended (a…
Descriptors: Self Management, Patients, Comparative Analysis, Diseases
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