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Technological innovations have affected and modified practically every element of human life and work. Education is one of the areas that has been greatly influenced by its dynamism. Technology has created an ecosystem in which education can be delivered via e-modes. The objective of this chapter is to study the impact of personalized learning on the student’s concentration level. The research methodology is top-down and includes both primary and secondary data sources. The sample was drawn using a probability-random sampling procedure with a response distribution of 50%, a margin of error of 10%, and a confidence level of 90%. The inquiry was carried out in various Indian states throughout the academic year 2020–2023. A 419-student sample was used in the study, and they were evaluated in two rounds using a pre-tested questionnaire. The association was determined for the experiencing group utilizing SPSS Version 25 and the analytic methods of factor analysis. This chapter presents options for higher education institutions, governments, and regulators to embrace and adapt. We are convinced that the study’s various recommendations will contribute to the development of a long-term strategy and plan to achieve the aim of ‘education for all, work for all’. The study investigates how the existing education model might adapt in the near future to keep up with the shifting paradigm and the arrival of Education 5.0.

This study aims to use sensing technology to observe the learning status of learners in a teaching and learning environment. In a general instruction environment, teachers often encounter some teaching problems. These are frequently related to the fact that the teacher cannot clearly know the learning status of students, such as their degree of learning concentration and capacity to absorb knowledge. In order to deal with this situation, this study uses a learning concentration detection system (LCDS), combining sensor technology and an artificial intelligence method, to better understand the learning concentration of students in a learning environment.

The proposed system uses sensing technology to collect information about the learning behavior of the students, analyzes their concentration levels, and applies an artificial intelligence method to combine this information for use by the teacher. This system includes a pressure detection sensor and facial detection sensor to detect facial expressions, eye activities and body movements. The system utilizes an artificial bee colony (ABC) algorithm to optimize the system performance to help teachers immediately understand the degree of concentration and learning status of their students. Based on this, instructors can give appropriate guidance to several unfocused students at the same time.

The fitness value and computation time were used to evaluate the LCDS. Comparing the results of the proposed ABC algorithm with those from the random search method, the algorithm was found to obtain better solutions. The experimental results demonstrate that the ABC algorithm can quickly obtain near optimal solutions within a reasonable time.

A learning concentration detection method of integrating context-aware technologies and an ABC algorithm is presented in this paper. Using this learning concentration detection method, teachers can keep abreast of their students' learning status in a teaching environment and thus provide more appropriate instruction.

This paper aims to present the design and implementation of an Internet of Things (IoT)-based e-learning testbed using Raspberry Pi mounted on Raspbian operating system (OS).

The testbed is composed of five Raspberry Pi B+ computers. The experiments are carried out in the department floor considering an non line of sight (NLoS) environment. Single constant bit rate (CBR) flows were transmitted over user datagram protocol (UDP), and data were collected for five metrics: throughput, packet delivery ratio (PDR), hop count, delay and jitter using the Iperf.

The implemented testbed was evaluated using experiments. The experimental results showed that the nodes in the testbed were communicating smoothly, and by using attention value, the learner concentration is increased.

The performance of the Optimized Link State Routing (OLSR) protocol was analyzed in a floor environment considering the NLoS scenario. However, this testbed can be implemented to other protocols also.

Because of the opportunities provided by the internet, people are taking advantage of e-learning courses, and enormous research efforts have been dedicated to the development of e-learning systems. To date, many e-learning systems are proposed and used practically. However, in these systems, the e-learning completion rate is low. To deal with this problem, an IoT-based e-learning system was implemented to increase the e-learning completion ratio by increasing the learner concentration.

The purpose of this paper is to identify the antecedent factors – perceived usefulness (PU), perceived switching cost (PSC) and perceived web security (PWS) – affecting learners’ attitude toward online lecture website (ATW), which, in turn, affects electronic word of mouth (eWOM) and finds the factor that online lecture business should focus on the most to make learners have positive attitude.

This paper investigates the functional relationship among those five constructs; and examines the moderating role of personal interactivity. Data were collected from learners who had taken online lectures and were using social network sites, and a research model was analyzed using structural equation modeling.

The results show that PU and PSC positively influence ATW but PWS has no significant influence on ATW; PU is the most influential factor to ATW; ATW positively influences eWOM; personal interactivity has a moderating effect on some paths; and path coefficients are higher in the high-interactivity group than the low-interactivity group for all the links except the link from PU to ATW.

This paper contributes to online lecture business by understanding learners’ perception and behavior to the websites. Unlike many previous studies, this study designates eWOM as dependent variable and personal interactivity as moderation variable. This study shows interesting results occurred between low- and high-interactivity groups.

The purpose of this study, we present a robot used in education. Influenced by the epoch of revolutionary digital technology, the methodology of education has gone boundless. The robot programming sustainability and ability to solve problems is one an important skill that coding students require to learn programming. This educational have been integrated into curriculum instruction in clubs.

Robotics education has been regarded as a potential approach to enhance students' Science, technology, engineering, and mathematics learning competencies. The popular platform of robots diversifies educational practices by its advantages of reorganizational and logical forms. In this paper, we focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability.

The students of department of mechanical engineering at the University in Taipei city, who participate elective educational robot courses, prove through surveys that the problem-based leaning method with robot programming can effectively enhance students' interests and learning motivations in learning new knowledge and promote students' designing skills for a sustainable society.

In this paper, the authors focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability.

This chapter begins with an overview of the concept of intercultural competence and its fundamental role in our global society. Using examples of inquiry-based learning (IBL) methods as a means to provide interdisciplinary pedagogies that foster learners’ intercultural competence development, this chapter examines innovative approaches to respond to this global community need in the academic context. With a review of interdisciplinary IBL methods, the chapter centers on the following three principal areas: (1) role of IBL and service-learning (SL) in the development of intercultural competence within an interdisciplinary framework, (2) practical examples of how the author implements IBL using cooperative learning strategies and SL into humanities courses that consist of students from various disciplines ranging from health to political sciences for intercultural competence development, and (3) challenges and benefits of SL programs as forms of IBL.

The purpose of this paper is to make a correlation analysis between students’ online learning behavior features and course grade, and to attempt to build some effective prediction model based on limited data.

The prediction label in this paper is the course grade of students, and the eigenvalues available are student age, student gender, connection time, hits count and days of access. The machine learning model used in this paper is the classical three-layer feedforward neural networks, and the scaled conjugate gradient algorithm is adopted. Pearson correlation analysis method is used to find the relationships between course grade and the student eigenvalues.

Days of access has the highest correlation with course grade, followed by hits count, and connection time is less relevant to students’ course grade. Student age and gender have the lowest correlation with course grade. Binary classification models have much higher prediction accuracy than multi-class classification models. Data normalization and data discretization can effectively improve the prediction accuracy of machine learning models, such as ANN model in this paper.

This paper may help teachers to find some clue to identify students with learning difficulties in advance and give timely help through the online learning behavior data. It shows that acceptable prediction models based on machine learning can be built using a small and limited data set. However, introducing external data into machine learning models to improve its prediction accuracy is still a valuable and hard issue.

With the growing use of technology in second language learning (L2), many techniques of incorporating digital video in L2 learning and platforms of task implementation appear in the field, however, with little, if any, research on how tasks can be designed and developed in these contexts. Based on Chapelle (2001, 2014) task design criteria, the current paper evaluates specifically the “interactivity” of task design interface and how it may contribute towards either dispersing or directing the learners' attention (Robinson, 2011) during the process of task completion in video-based L2 listening.

Using a qualitative approach – mainly focus groups and interviews – the current study evaluated a number of tasks that were used for computer-based L2 listening when digital video is the mode of presentation. The participants, i.e. English as a foreign language (EFL) teachers and learners, were presented with a number of task designs to try and evaluate.

The findings revealed that some task designs are perceived to be less interactive and can disperse the learner's attentional resources during the process of task completion. They also shed light on the importance of improving EFL teachers' current practices of task design in computer-based L2 listening.

This paper has contributed to our growing understanding of interactivity in relation to video-based learning and its task designs.

The purpose of this paper is to develop the teaching strategies of alternating peer teaching and progressive project-oriented learning, and apply them to the curriculum design of digital animation game production, and conduct teaching experimental research.

This research method under the teaching strategies of alternating peer teaching and progressive project-oriented learning, to the design of digital animation game and use teaching experiment animation game production tool was Game Maker animation game production software to develop the study. The production of learning history data was used in-game projects, to verify the digital animation game design effectiveness was used SPSS statistics method, and was to compare the learning effectiveness of the different teaching modes.

Through experimental design, learners can acquire the knowledge and skills of digital animation game production under the guidance of progressive project-oriented teaching strategies. In terms of the cognition and skills of animation game production, learners have acquired the skills of taking them in animation game design to be able to independently produce and design digital animation games. The research results can be used as a reference for future research on digital animation game teaching and curriculum development.

This study proposed a new approach to develop the teaching strategies of alternating peer teaching and progressive project-oriented learning, to design digital animation games. The research results show that effective teaching strategies guide successful learning, it can be used as a reference for future research on digital animation game teaching and curriculum development.

Despite the proven importance of co-design as a way of improving the social relevance of architecture, there is a lack of opportunity for meaningful co-design processes in the current professional Master of Architecture programme in South Africa as it is largely modelled on the professional work stages of the South African Council for the Architecture Profession (SACAP), which are based on the assumption of primary authorship and authority of the architect.

This problem has been investigated by way of ten workshops with high school learners in the Mamelodi East township in South Africa, as part of a professional master’s degree in architecture.

The findings of the workshops indicate that the initial stages of design could benefit directly from the participation processes and could be critiqued constructively. However, increased resistance to the process by crit panels was experienced once the sketch design phase was completed and the expectation of primary authorship increased. Engagement of the learners in the latter part of the design decision-making process also diminished as levels of experience in spatial design became evidently further removed from the expected outcomes.

In terms of co-design discourse and the evident value of participatory skills in practice, it is evident that the initial work stages of concept, brief and ideation are fairly easily assimilated into the pedagogical requirements of the degree programme and as such could enable a more socially relevant and responsive approach to professional practice.

The South African standard of practising architecture leaves little space for the process of co-design, even within the educational environment. The value of co-design within this context lies predominantly in the values and conversations generated rather than the aesthetics of the end product. The process of co-design opens up the opportunity for new dialogues to emerge and for relationships to form.

Co-design illustrates how architectural intelligence can be exercised in a much broader spatial field that acknowledges more than just the building itself but social, global, ecological and virtual networks, thereby changing how the authors design, what the authors design and who designs it.

It is in the realm of co-design that the beauty of architecture oscillates between strangeness and the ordinary. If the authors embrace the power of the collective and collaborative thinking, the authors are able to conceive new ways in the making of architecture. In order to arrive at this, however, the straightjacketed approach of modelling the master’s programme on professional work stages and outcomes needs to be challenged so that true transformation of the profession can be enabled through its pedagogical instruments.