NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Interactive Learning…55
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 55 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Chimalakonda, Sridhar; Nori, Kesav V. – Interactive Learning Environments, 2023
Despite rapid advances, modeling a variety of instructional designs to support variations in teaching and learning during the design of educational technologies is still an open challenge. In this paper, we propose a patterns based approach for the design of educational technologies to address this challenge. This is in contrast with existing…
Descriptors: Educational Technology, Instructional Design, Teaching Methods, Adult Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Tan, Hongye; Wang, Chong; Duan, Qinglong; Lu, Yu; Zhang, Hu; Li, Ru – Interactive Learning Environments, 2023
Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…
Descriptors: Automation, Grading, Computer Assisted Testing, Graphs
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Lishan; Huang, Yuwei; Yang, Xi; Yu, Shengquan; Zhuang, Fuzhen – Interactive Learning Environments, 2022
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…
Descriptors: Automation, Grading, Models, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Bowen; Wu, Yonghe; Xing, Wanli; Guo, Shouchao; Zhu, Lijuan – Interactive Learning Environments, 2023
3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students' SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but…
Descriptors: Independent Study, Computer Simulation, Design, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Bahari, Akbar; Zhang, Xue; Ardasheva, Yuliya – Interactive Learning Environments, 2023
The lack of comprehensive language proficiency assessment models recognizing the nonlinearity and dynamicity of individual differences, as well as the fundamental differences between paper- and computer-assisted language assessments (CALA) served as the rationale to conduct the present study. Drawing on dynamic systems theory, a Nonlinear Dynamic…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Radosavljevic, Slavica; Radosavljevic, Vitomir; Grgurovic, Biljana – Interactive Learning Environments, 2020
The goal of higher vocational education is professional training of students. Teaching contents related to practical training are the most important for preparing students for work in real-life conditions. The mobile learning model presented in this paper analyzes the possibility of implementing augmented reality in the process of educating…
Descriptors: Telecommunications, Handheld Devices, Computer Simulation, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Kuen-Yi; Lu, Shao-Chuan; Hsiao, Hsien-Hsien; Kao, Chia-Pin; Williams, P. John – Interactive Learning Environments, 2023
Over the past few years, digital fabrication has been utilized in technology laboratories to emphasize hands-on learning processes in technology and engineering education. Recent studies indicate that hands-on activities can help students connect with science, technology, engineering, and mathematics (STEM) disciplines and develop key skills…
Descriptors: STEM Education, Imagination, Vocational Interests, Repetition
Peer reviewed Peer reviewed
Direct linkDirect link
Tang, Tao; Abuhmaid, Atef M.; Olaimat, Melad; Oudat, Dana M.; Aldhaeebi, Maged; Bamanger, Ebrahim – Interactive Learning Environments, 2023
Due to the spread of COVID-19 worldwide, a large number of universities had to close their campuses. To maintain teaching and learning during this disruption to the traditional teaching, most universities have adopted online teaching model. The current study aimed at investigating the efficacy of various online teaching modes as well as comparing…
Descriptors: Flipped Classroom, Electronic Learning, COVID-19, Pandemics
Peer reviewed Peer reviewed
Direct linkDirect link
Clark, Douglas B.; Sengupta, Pratim – Interactive Learning Environments, 2020
This paper situates a critical review of studies that we have conducted within the broader research literature to analyze the affordances of integrating modeling within disciplinarily-integrated games from computational thinking and science as practice perspectives. Across the studies, the analyses pursue two themes: (a) the role of agent-based…
Descriptors: Game Based Learning, Thinking Skills, Computer Games, Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Poitras, Eric; Butcher, Kirsten R.; Orr, Matthew; Hudson, Michelle A.; Larson, Madlyn – Interactive Learning Environments, 2022
This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…
Descriptors: Middle School Students, Electronic Learning, Maps, Science Instruction
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4