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With the growth of digital education, students increasingly interact in a variety of ways. The potential effects of these interactions on their learning process are not fully understood and the outcomes may depend on the tool used. This study explores the communication patterns and learning effectiveness developed by students using two basic synchronous and asynchronous communication tools in e-learning environments, specifically business simulation games.

The authors conduct a quasi-experiment research with 478 online business students, 267 of whom used online discussion forums and 211 interacted via an instant messaging app. The application of learning analytics and text mining on natural language processing allows us to explore the student communication patterns with each of tools and their effectiveness in terms of learning.

The results confirm the complementarity of the communication tools, asynchronous tools being especially the suitable for task-related communication and synchronous ones for speeding up and facilitating student social interactions.

The main value of this research lies in the use of data analytics and text mining to access and analyse the content of student interactions to assess the learning process in greater depth, comparing synchronous and asynchronous learning modes, considering that little is known about the impact of online synchronous interaction or instant messaging, and even less about the different features, content and performance that emerge when these two learner interaction modalities are compared.

This paper aims to describe innovations at the Games + Learning + Society Center to explore the future of education.

This paper is an overview of several published studies and design interventions.

Commercial partnerships, particularly generating copyrightable materials can maximize impact and diversify research funding, but they also run counter to the culture and purpose of many research universities.

Researchers interested in forging new partnerships to maximize impact might explore relationships with commercial entities but be aware that they are running counter to the grain of most institutions and goals. Other universities of different sizes, ages and orientations may have different results.

Building private partnerships requires different staffing and skill sets than traditional research. Guidance for staffing key roles and projects are provided.

This paper is a reflection on unique research initiative that generated revenue and helped shape a subfield of education.

This chapter aims to establish a positive vision for the technology-enhanced learning design field. It commences by summarizing the current state of technology-enhanced learning research, as established by the previous analysis, in order to clarify the foundations upon which the field can build. The future of learning technology is considered, in the first instance, by extrapolating trends in information and communication technologies throughout history. This process showcases how the most impactful technologies are those that bring information closer to us, support sharing, and offer more visceral learning experiences. The nature of learning technology trends occurring in recent Horizon Reports, for instance, gesture-based computing, augmented reality, Massive Open Online Courses, and table computing, are analyzed and explained in terms of Roger’s Diffusion of Innovation Theory and Gartner’s Hype Cycle. This leads to identifying teachers as the critical lynch pin in order for society to derive greatest educational benefit from the exponential advances in technology. Consequently, support for educators is argued as essential. Into the future the learning technology field will only optimize its progress if educators and researchers work together to understand design issues and possibilities. Directions forward for educators and researchers are proposed, emphasizing a research-driven, pedagogically focused, creative, and collaborative approach to technology-enhanced learning design.

During the current global epidemic, e-learning and mobile learning have been rapidly developed in the field of entrepreneurship education. The effect of these learning methods remains to be confirmed. The purpose of this paper is to explore the effect of mobile business simulation games in entrepreneurship education.

From May 2020 to July 2020, the authors adopted a quasi-experimental design to explore the effect of mobile business simulation games in entrepreneurship education. The authors set up an experimental group to participate in mobile business simulation games, with a total of 105 students, and set up a control group of 100 students. At the beginning and end of the experiment, data on entrepreneurial attitude, self-efficacy, entrepreneurial intention and other related variables were collected. Paired sample T-test and regression analysis were used to analyze the results.

The authors found that mobile business simulation games can improve entrepreneurial attitudes and self-efficacy, but cannot change entrepreneurial intentions. The paired sample T-test in the experimental group showed that the entrepreneurial attitude and entrepreneurial self-efficacy of the participants were significantly improved, but the entrepreneurial intention did not change significantly. The above three variables did not change significantly in the control group. The research results also show that flow experience is very important in mobile business simulation games, which can improve entrepreneurial attitude and entrepreneurial self-efficacy.

The authors’ findings confirm the positive effects of mobile business simulation games in entrepreneurship education, which can improve entrepreneurial attitudes and entrepreneurial self-efficacy. But the disadvantage of mobile business simulation games is that they cannot increase entrepreneurial intention. In addition, the flow experience needs to be valued in mobile business simulation games. The research in this paper has implications for how mobile learning can be used in entrepreneurship education during the COVID-19 pandemic. In addition, research is of great value on how mobile business simulation games can be improved.

Student engagement is a key factor that connects with student achievement and retention. This paper aims to identify individuals' engagement automatically in the classroom with multimodal data for supporting educational research.

The video and electroencephalogram data of 36 undergraduates were collected to represent observable and internal information. Since different modal data have different granularity, this study proposed the Fast–Slow Neural Network (FSNN) to detect engagement through both observable and internal information, with an asynchrony structure to preserve the sequence information of data with different granularity.

Experimental results show that the proposed algorithm can recognize engagement better than the traditional data fusion methods. The results are also analyzed to figure out the reasons for the better performance of the proposed FSNN.

This study combined multimodal data from observable and internal aspects to improve the accuracy of engagement detection in the classroom. The proposed FSNN used the asynchronous process to deal with the problem of remaining sequential information when facing multimodal data with different granularity.

Research advocates for the use of good teaching practices and approaches while integrating technology in digitally enhanced learning. This is on the premise that previous studies on mobile learning have neglected this aspect of technology integration resulting in numerous challenges. Moreover, there is evidence in the literature showing a scarcity of studies on the use of mobile learning in teaching productive skills. On the other hand, linguists recommend the use of responsive lesson design frameworks in language teaching, claiming effectiveness in teaching all language skills. However, responsive lesson design frameworks are yet to be implemented in a classroom setting. To bridge these gaps in scientific literature, our study decides to utilize the CAPE framework as a good teaching method for improving the productive skills of students in mobile-based instruction.

This study utilizes a mixed-methods research design with an experimental approach. Post-tests and interviews were employed to elicit information from the student-participants on the objective of the study.

Following the analysis of the collected data, notable findings were obtained. While there was evidence to show that the students perceived m-learning as boring and ineffective when incorporated with a traditional lesson framework, our study unveiled that students showed a different perception when incorporated with the CAPE framework.

Our study unveils that integrating responsive lesson frameworks with m-learning improves the speaking and writing skills of students.

This study provides empirical evidence to show the role of good teaching practices like integrating responsive LDFs and mobile learning in improving the productive skills of students. This study is the first to investigate the integration of CAPE and mobile learning in enhancing expressive skills.

Based on the necessity for universities through the outbreak of the COVID-19 pandemic to switch to online teaching from one day to the other, this study aims to show how a combination of different online teaching approaches makes it possible to activate reflection as an enabler of intercultural competency development even though real experience, interaction and exchange elements could not be implemented as usual.

This study is based on insights on experiential learning using intercultural competence development through the mechanism of reflection in combination with findings from on- and offline learning settings and informal learning processes. Adapting Kolb’s (1984) experiential learning cycle, this study presents an online course design for an undergraduate course in intercultural competencies. This study delineates an assessment of the course based on student evaluation results and excerpts of student essays.

This study demonstrates how the acquisition of important future skills such as reflection skills can be successfully mastered by combining different online teaching approaches. This study also shows that Kolb’s (1984) experiential learning cycle continues to yield critical benefits when adapted it to the “new reality.”

This study provides a case study on how business schools can deal with special challenges in courses where competencies are taught, which are usually developed through real experiences or informal learning. An application to other types of experiential learning activities is considered valuable. It is useful to further adopt elements in a post-COVID-19 teaching environment. Especially using apps as described can contribute to make learning more tailored to each student. As such, this paper contributes to the body of research on the importance of reflection skills in an educational and virtual context.

Traditional teaching strategies are making way for a more collaborative learning style, where students play active roles in their learning process. This work focuses on the discussant role activity in the market research subject in a business administration bachelor's degree as a way of empowering students' role. The discussant activity fosters critical thinking and debate between classmates while also encouraging communication and relational skills.

Drawing on expectation-disconfirmation theory, this study analysed students' expectations and perceptions before and after the discussant activity. Data were collected through two surveys carried out in class at the beginning and at the end of the course.

The empirical findings show that interactions in the classroom during the activity contribute to students' final evaluation of the activity and positively affect cross-curricular and subjective learning performance.

Activities that recreate real-life experiences help students in the acquisition of certain key competencies related to their future inclusion in the labour market.

A major trend in enterprise resource planning software (ERP) is to embed business analytics tools within user-centered roles in enterprise software. This integration allows business users to get better and faster insight to action. As a consequence, it is imperative for business students to learn how to use these new tools to adequately prepare them for new expectations in the industry. The paper aims to discuss these issues.

In this paper, the authors propose a new serious game, called ERPsim for big data, to enable the learner to acquire abilities at each level of the business analytics learning taxonomy. To maximize the pedagogical impact of the game, participatory design (PD) with professors as co-designers was used during game development.

This case study presents the PD approach and analyses the efficacy of the proposed new simulation.

The authors conclude by providing recommendations and lessons learned from this approach.