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Chang, Chi-Cheng; Chen, Yiching – Interactive Learning Environments, 2022
This study aims to explore psychomotor performance and perception on task-centered hands-on STEM learning of educational robotics. The study adopted a convergent parallel mixed method to gather both quantitative and qualitative data in the same period of time. Participants were 42 tenth-grade students (25 male students and 17 female students) from…
Descriptors: Mastery Learning, Hands on Science, STEM Education, Robotics
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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
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Jon-Chao Hong; Chien-Hung Lin; Chin-Chieh Juh – Interactive Learning Environments, 2024
Referring to the advantages of intelligent personal assistants, or virtual agents, Charades can be implemented with a Chatbot to enhance students' vocabulary mastery. However, only a few studies have addressed the effectiveness of learning through practice with chatbots based on the Charades approach. We designed a Charades game using Google…
Descriptors: Artificial Intelligence, Computer Uses in Education, Games, Vocabulary Development
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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
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Yang, Kai-Hsiang – Interactive Learning Environments, 2017
It is widely accepted that the digital game-based learning approach has the advantage of stimulating students' learning motivation, but simply using digital games in the classroom does not guarantee satisfactory learning achievement, especially in the case of the absence of a teacher. Integrating appropriate learning strategies into a game can…
Descriptors: Educational Games, Electronic Learning, Mastery Learning, Learning Theories
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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2017
The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…
Descriptors: Biology, Science Instruction, Intelligent Tutoring Systems, Probability
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Erhel, Séverine; Jamet, Eric – Interactive Learning Environments, 2016
Few studies have investigated the effects of the instructions provided in educational computer games on cognitive processing and learning outcomes. In our experiment, we sought to compare the effects on learning outcomes of two different types of goal-oriented instructions: "mastery-goal" instructions, which prompt learners to develop…
Descriptors: Outcomes of Education, Goal Orientation, Instruction, Video Games