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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
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
Xia, Xiaona – Interactive Learning Environments, 2023
Learning interaction activities are the key part of tracking and evaluating learning behaviors, that plays an important role in data-driven autonomous learning and optimized learning in interactive learning environments. In this study, a big data set of learning behaviors with multiple learning periods is selected. According to the instance…
Descriptors: Behavior, Learning Processes, Electronic Learning, Algorithms
Yoshida, Masami; Xiong, Chun; Liu, Yunyun; Liu, Hongyan – Interactive Learning Environments, 2023
This study aims to identify the formulation differences of groups in two online activities in a university course with different strategies by using social network analysis. Specifically, the connections within the members and identification of brokers were analyzed. Whilst the group enhancing a "community of practice" in WeChat by…
Descriptors: Communities of Practice, Social Networks, Network Analysis, Social Media
Xia Xiao; Ziqi Fang; Shuaiyi Zou; Chengde Zhang; Xinzhong Chen – Interactive Learning Environments, 2024
Online learning has been greatly widespread since the explosion of COVID-19. However, due to the lack of interaction between teachers and students in online courses, it is very difficult for students to focus on course content and complete the learning. Therefore, we developed a novel intelligent multilevel knowledge graph to help students quickly…
Descriptors: Cues, Graphs, Visual Aids, Electronic Learning
Bale, Shivkumar; Singh, Ramesh – Interactive Learning Environments, 2023
This paper introduces a novel virtual method to conduct continuous distillation experiment in an undergraduate unit operation laboratory with the help of SPM 700 Distillation Column, one of the modules available in Simtronics, a commercial process operation simulator. Simtronics simulator is a powerful tool to teach process industry skills and it…
Descriptors: Engineering Education, Teaching Methods, Undergraduate Students, Laboratory Experiments
Çekmez, Erdem – Interactive Learning Environments, 2023
The topic of inequalities is one of the fundamental subject areas for the development of mathematical knowledge. Although there is a considerable body of research focused on one-variable inequalities, studies that investigate students' performance on two-variable inequalities are scarce. With this in mind, the aim of this study is twofold: first,…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Mathematical Concepts, Instructional Effectiveness
Božic, Radoslav; Takaci, Ðurdica; Stankov, Gordana – Interactive Learning Environments, 2021
The authors described the influence of the GeoGebra based environment on students' achievements in the field of functions with parameters, during collaborative learning. Functions with parameters are important because of their application in science. Students had to choose different values for parameters and to examine the properties of the…
Descriptors: Computer Software, Mathematics Instruction, Mathematics Achievement, Calculus
Casquero, Oskar; Ovelar, Ramón; Romo, Jesús; Benito, Manuel; Alberdi, Mikel – Interactive Learning Environments, 2016
The main objective of this paper is to analyse the effect of the affordances of a virtual learning environment and a personal learning environment (PLE) in the configuration of the students' personal networks in a higher education context. The results are discussed in light of the adaptation of the students to the learning network made up by two…
Descriptors: Case Studies, Higher Education, Educational Technology, Technology Uses in Education
Peer reviewedSchwarz, Baruch; Dreyfus, Tommy – Interactive Learning Environments, 1993
Describes a study which measured how ninth-grade students integrated information about mathematical concepts when working with Triple Representation Model software. Tables, graphs, and algebraic functions were linked, allowing students to manipulate several representations of the same concept. Examples of mathematical problems and student case…
Descriptors: Algebra, Authoring Aids (Programming), Case Studies, Cognitive Processes

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