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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2021
Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…
Descriptors: Semantics, Networks, Multiple Choice Tests, Teaching Methods
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
Jing Peng – Interactive Learning Environments, 2024
Playing musical instruments involves a high level of skill based on the harmonious and esthetic reproduction of notes. The main aim of this study is to determine the impact of MusicFlow, an interactive music composition system, on the development of students' piano skills. The article also used a survey to determine the potential of using digital…
Descriptors: Musical Instruments, Music Education, Musical Composition, Computer Software
Hangyan Yu; Jie Hu – Interactive Learning Environments, 2023
In the digital era, traditional communication has undergone a drastic transformation into computer-mediated communication (CMC), which can be classified into synchronous CMC (SCMC) and asynchronous CMC (ASCMC). This study compared the effects of extracurricular CMC among students about schoolwork on students' digital reading achievement between…
Descriptors: Reading Achievement, Synchronous Communication, Asynchronous Communication, Computer Mediated Communication
Beserra, Vagner; Nussbaum, Miguel; Grass, Antonio – Interactive Learning Environments, 2017
When using educational video games, particularly drill-and-practice video games, there are several ways of providing an answer to a quiz. The majority of paper-based options can be classified as being either multiple-choice or constructed-response. Therefore, in the process of creating an educational drill-and-practice video game, one fundamental…
Descriptors: Multiple Choice Tests, Drills (Practice), Educational Games, Video Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Milkova, Eva; Pekarkova, Simona – Interactive Learning Environments, 2023
The presented study focuses on children aged from 5 to 6.5 who attend Czech kindergartens. Its purpose is to explore a potential positive impact of an educational game application on malleability of children's spatial skills through the application usage. The research was conducted as a pedagogical experiment in which the pre-test and post-test…
Descriptors: Spatial Ability, Kindergarten, Preschool Children, Educational Games
Wang, Shuai; Christensen, Claire; Cui, Wei; Tong, Richard; Yarnall, Louise; Shear, Linda; Feng, Mingyu – Interactive Learning Environments, 2023
Adaptive learning systems personalize instruction to students' individual learning needs and abilities. Such systems have shown positive impacts on learning. Many schools in the United States have adopted adaptive learning systems, and the rate of adoption in China is accelerating, reaching almost 2 million unique users for one product alone in…
Descriptors: Comparative Analysis, Teaching Methods, Intelligent Tutoring Systems, Foreign Countries
Kuo-Wei Kyle Lai; Hao-Jan Howard Chen – Interactive Learning Environments, 2024
Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…
Descriptors: Computer Software, Computer Assisted Instruction, Technology Uses in Education, Assistive Technology
Obeid, Samah; Demirkan, Halime – Interactive Learning Environments, 2023
With the recent advancements in digital technologies, the design studios are transformed to virtual environments that offer both to design students and instructors a broader perspective in understanding the design process. As an integral part of design process, the supporting virtual tools enhance creativity in basic design studios. This study…
Descriptors: Creativity, Design, Teaching Methods, Computer Simulation
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
Zou, Di; Wang, Minhong; Xie, Haoran; Cheng, Gary; Wang, Fu Lee; Lee, Lap-Kei – Interactive Learning Environments, 2021
Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task…
Descriptors: Linguistic Theory, Vocabulary Development, Second Language Learning, Second Language Instruction
Chen, Chih-Ming; Tan, Chia-Chen; Lo, Bey-Jane – Interactive Learning Environments, 2016
Oral reading fluency is an indicator of overall reading competence. Many studies have claimed that repeated reading can promote oral reading fluency. Currently, novel Web- or computer-based reading technologies offer interactive digital materials that promote English oral reading fluency using the repeated reading strategy; however, paper-based…
Descriptors: English Language Learners, Oral Reading, Reading Fluency, Educational Technology
Ghaem Sigarchian, Hajar; Logghe, Sara; Verborgh, Ruben; de Neve, Wesley; Salliau, Frank; Mannens, Erik; Van de Walle, Rik; Schuurman, Dimitri – Interactive Learning Environments, 2018
An e-TextBook can serve as an interactive learning environment (ILE), facilitating more effective teaching and learning processes. In this paper, we propose the novel concept of an EPUB 3-based Hybrid e-TextBook, which allows for interaction between the digital and the physical world. In that regard, we first investigated the gap between the…
Descriptors: Textbooks, Electronic Publishing, Telecommunications, Handheld Devices
Lee, Yuan-Hsuan – Interactive Learning Environments, 2018
Premised on Web 2.0 technology, the current study investigated the effect of facilitating critical thinking using the Collaborative Questioning, Reading, Answering, and Checking (C-QRAC) collaboration script on university students' science reading literacy in flipped learning conditions. Participants were 85 Taiwanese university students recruited…
Descriptors: Foreign Countries, College Students, Scripts, Critical Thinking
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