Effective analysis and demonstration of these data features is of great significance for the optimization of interactive learning environment and learning behavior. Therefore, we take the big data set of learning behavior generated by an online interactive learning environment as the research object, define the features of learning behavior, and…

The article presents the concept and first results of tests of a Virtual Reality system dedicated for interactive education of manual assembly procedure. The presented solution is based on the use of a Delta robot. The main task of the robot is to simulate the shape of virtual objects as an alternative to haptic devices. The manipulator with…

In Blended Learning, students receive a combination of traditional face to face instruction in class and are also required to complete activities outside of the classroom. BL increases opportunities for faculty members to design more effective teaching and learning environments. In order to do so, Instructional Design might be used to support…

E-texts afford interactive features that are not feasible with paper texts. Several studies have been conducted examining interactive features of E-texts, but it is uncertain what the overall effect is or what features may be most useful. The purpose of this study is to systematically review and meta-analysis of the findings comparing reading…

Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…

This study takes the value-based adoption model and CIE model of the learning process as the theoretical basis and combines them to explore the influencing factors and mechanisms of learners' online interaction and perceived value. Based on the questionnaire survey data of 81 learners' potential factors and their 45,166 real-time behavior data on…

Due to the digital revolution, online education based on the B2B2C (Business to Business to Consumer) model is growing Understanding students' expectations, concerns, and experiences of these courses are crucial to the successful of education. Based on the research framework of value co-creation and value co-destruction and the theory of social…

Motivation is key to the generation of creative ideas, intrinsic motivation is the core driving force of creativity. Researchers believe that individuals with higher intrinsic motivation will produce higher novelty and flexibility. Creativity may also be influenced by environmental cues, which are objects in the environment that individuals can…

Variation theory, which is a theory of learning developed by Marton and others, has quickly become popular in education research. Our purpose of this paper is to articulate the application of variation theory in the form of a number of concrete design principles that offer prescriptive and practical guidelines for improving the designs of…

This study determines and analyzes the principles of interactive scenario design supporting critical and creative thinking in asynchronous learning environments. The study was conducted as a qualitative research, framed by two theoretical approaches, heutagogy and inquiry-based learning, and a holistic case study. The basic principles of the…

Idea generation in interactive learning environments requires the consideration of the interactivity and materiality aspects of creativity. In educational robotics, idea generation is mediated through a technological object in a process allowing us to observe the three main components of divergent thinking: fluency, flexibility, and originality.…

This research explored if a social robot would play a role in facilitating the development of friendship between young children while they engage in playful learning. Grounded in child-robot interaction and child development literature, we instantiated four sessions of triadic interaction activities among two children and a robot, where the robot…

The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…

Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…