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Gwo-Haur Hwang; Beyin Chen; Shih-Pei Chen – Interactive Learning Environments, 2024
This study proposed a game-based flipped teaching approach and applied it to a HTML (HyperText Markup Language) course. We developed two versions of the pre-class content testing, one of which was game-based, using a "looking-through" game, and the other which was traditional, using a multiple-choice test. We conducted a teaching…
Descriptors: Flipped Classroom, Instructional Effectiveness, Teaching Methods, Prior Learning
Chenglu Li; Wanli Xing; Walter Leite – Interactive Learning Environments, 2024
As instruction shifts away from traditional approaches, online learning has grown in popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics methods such as machine learning have been used by educational scholars to support online learners on a large scale. However, the fairness of AI prediction in educational…
Descriptors: Artificial Intelligence, Prediction, Mathematics Achievement, Algorithms
Ainhoa Alvarez; Mikel Villamañe – Interactive Learning Environments, 2024
Assessment is a key element in any course, and providing students with a balance between formative and summative assessments is crucial. Defining such a process is a complex task for teachers and often entails a great workload. This makes it necessary to have tools to help in the assessment process definition and its monitoring. This paper first…
Descriptors: Open Source Technology, Learning Management Systems, Student Evaluation, College Students
Thuy Thi-Nhu Ngo; Howard Hao-Jan Chen; Kyle Kuo-Wei Lai – Interactive Learning Environments, 2024
The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…
Descriptors: Writing Evaluation, Automation, Computer Software, English (Second Language)
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Bingxue Zhang; Yang Shi; Yuxing Li; Chengliang Chai; Longfeng Hou – Interactive Learning Environments, 2023
The adaptive learning environment provides learning support that suits individual characteristics of students, and the student model of the adaptive learning environment is the key element to promote individualized learning. This paper provides a systematic overview of the existing student models, consequently showing that the Elo rating system…
Descriptors: Electronic Learning, Models, Students, Individualized Instruction
Agostino Marengo; Alessandro Pagano; Kamal Ahmed Soomro – Interactive Learning Environments, 2024
Soft skills are interpersonal, communication, and personal attributes that enable individuals to interact effectively with others in personal and workplace settings. Despite the significance of soft skills for career success, these skills are not necessarily taught in traditional academic settings. Consequently, education institutions must adopt…
Descriptors: Game Based Learning, Soft Skills, Student Evaluation, Instructional Effectiveness
Gwo-Jen Hwang; An-Chi Lin; Shao-Chen Chang – Interactive Learning Environments, 2024
Digital games have been used in various disciplines to enhance students' learning interest and effectiveness through the gaming contexts. However, most of the digital educational games use multiple-choice questions to confirm students' learning status, implying the challenge of understanding the actual learning status of students. Also, the gaming…
Descriptors: Game Based Learning, Academic Achievement, Student Behavior, Horticulture
Meng, Lingling; Zhang, Mingxin; Zhang, Wanxue; Chu, Yu – Interactive Learning Environments, 2021
Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Student Evaluation, Knowledge Level
Jérôme Hutain; Nicolas Michinov – Interactive Learning Environments, 2024
The role of individual feedback in (online) learning has been widely studied by researchers, but collective feedback based on quizzes and its impact on various academic outcomes has been overlooked to date. The aim of the present study was to compare the effects of displaying individual or collective feedback during an online course on students'…
Descriptors: Feedback (Response), Student Evaluation, Electronic Learning, Student Attitudes
Chung, Ching-Jung; Lai, Chiu-Lin; Hwang, Gwo-Jen – Interactive Learning Environments, 2021
This study reviewed the published papers on the flipped classroom in nursing education from 2010 to 2017, and tabulated the collected data from various aspects: "before-class stage/ in-class stage/ after-class stage learning strategies," "application domains," "research issues," "participants,"…
Descriptors: Role, Trend Analysis, Educational Research, Flipped Classroom
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Yenkimaleki, Mahmood; van Heuven, Vincent J. – Interactive Learning Environments, 2023
This study investigates the effect of explicit teaching of segmentals vs. prosody on the quality of interpreting by Farsi-to-English interpreter trainees. Participants were native speakers of Farsi and BA students of English translation and interpreting in Iran, who were assigned to one of three groups. No differences in English language skills…
Descriptors: Intonation, Suprasegmentals, English (Second Language), Second Language Learning
Fell Kurban, Caroline – Interactive Learning Environments, 2019
Evidence shows flipped learning increases academic performance and student satisfaction. Yet, often practitioners flip instruction but keep traditional curricula and assessment. Assessment in higher education is often via written exams. But these provide limited feedback and do not ask students to put knowledge into practice. This does not support…
Descriptors: Blended Learning, Teacher Education, Student Satisfaction, Learner Engagement
Wongwatkit, Charoenchai; Srisawasdi, Niwat; Hwang, Gwo-Jen; Panjaburee, Patcharin – Interactive Learning Environments, 2017
The advancement of computer and communication technologies has enabled students to learn across various real-world contexts with supports from the learning system. In the meantime, researchers have emphasized the necessity of providing personalized learning guidance or support by considering individual students' status and needs in order to…
Descriptors: Electronic Learning, Web Based Instruction, Educational Diagnosis, Formative Evaluation
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