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Storytelling is a method for training essential life issues as storytelling can assist learners to consider the story not just as a source of entertainment but as a practical lesson. In fact, teachers can encourage even the most unwilling students by engaging the students in storytelling while maintaining students' attention through narration using sounds and gestures. The present study aims to examine the effect of the university instructor’s narrative on English as a Foreign Language (EFL) student’s sustained attention, emotional involvement and cognitive learning.

To do so, the study adopted a quasi-experimental research design with the aim of focusing on the students’ performance within two different virtual classes. University students’ sustained attention, emotional involvement and cognitive learning were assessed in control and experimental groups before and after the treatment. To measure students’ sustained attention, Wei et al.’s (2012) scale, which comprises six items, was used. Besides, emotional involvement was assessed through Golestani’s (2017) engagement questionnaire. To check students’ cognitive learning, the scale designed by Richmond et al. (1987) was utilized. The summaries and conclusions in the experimental class were ingrained in instructors’ pedagogical repertoires, as the repertoires offer students an alternative way to understand course material beyond a straight lecture. Students in the experimental group were also asked to ponder over the materials presented to the students each session, and the students were supposed to present a one to two-paragraph note on the possible implications of the materials instructed at each session.

The results of independent samples t-test indicated that there was a statistically significant difference between the two groups regarding the degree of their sustained attention, emotional involvement and cognitive learning. The findings of the present study can raise instructors’ awareness toward the application of narratives in their instructional methodologies, as well as putting forth significant strategies to enhance students’ sustained attention, emotional involvement and cognitive learning through narratives.

The theoretical framework of the study derives from Kromka and Goodboys (2018) conceptualization of instructor narrative (IN), defined as the explicit presentation of the lessons conclusion at the end of each session. Previous studies on narrative have primarily focused on learners’ narrative as an educational tool. Later studies on teacher narratives conceive this as the teachers’ personal anecdotes and story-like accounts of others’ experiences; nonetheless, the position which is taken in this study is more academically laden and is based on the information instructed in each session.

The perspectives of industry instructors from a case enterprise were adopted to analyze various contexts of internship implementation and to examine feasible strategies for incorporating internships in the human resource development process.

A Taiwanese enterprise stationed in China was selected for case study. This study focused on the 2019 summer internship program. Interviews were conducted with 23 industry instructors.

(1) Units should effectively employ interns by guiding them to learn by doing tasks. (2) Provide training and assign personal industry instructors to guide interns in learning by doing, thereby establishing workplace relationships in advance. (3) High-level leaders and senior managers must pay close attention to internship results and inspire industry instructors and interns to perform internship tasks. (4) Managers of internship units must participate in interviews to select potential employees that satisfy unit requirements. (5) Opportunities for university teachers to interact with enterprises and recommend interested students who learn knowledge, skills, abilities and other characteristics (KSAOs) that fulfill enterprise requirements should be increased.

Enterprises must systematically plan internship tasks, recruitment and selection, as well as practices and reports if they wish to employ interns as potential human resource.

This study used the practical perspectives of industry instructors to establish the contexts and strategies of intern training for human resource development. The results of this study are expected to provide a reference for enterprises in planning internship workplaces and increase their willingness to employ interns.

This study explores the relationship between intense exposure to entrepreneurship education and training (EET), defined as the deliberate practice of entrepreneurial learning, and self-efficacy, for entrepreneurs in the post-creation stage. When analyzing this relationship, we account for individuals' entrepreneurial experience gained through parental ties with entrepreneurs as a moderating variable. In doing so, our research aims to contribute to the literature on the relationship between EET and entrepreneurial self-efficacy in several ways. First, we address the relationship by bridging the gap between intention and action in the context of actual entrepreneurs engaged in the early stages of their new ventures. In doing so and drawing on the theory of planned behavior, we complement the important stream of research on entrepreneurial intention by highlighting antecedents of entrepreneurial self-efficacy in the post-creation stage. Second, when analyzing the relationship between EET and self-efficacy for actual entrepreneurs, we approach EET as a deliberate practice of voluntary exposure to new entrepreneurial knowledge. Third, we provide new insights into the EET–self-efficacy relationship by exploring the moderating effect of entrepreneurial vicarious learning and, more specifically, the individual's embeddedness in an entrepreneurial parental environment. Finally, drawing from Kirkpatrick's (1959a, b, 1960a, b, 1996) reference framework on training and education evaluation, we provide empirical observations of EET outcomes evaluated in the later (“behavior” and “results”) stages.

Drawing on the theory of planned behavior as well as role modeling and absorptive capacity, we develop hypotheses that we examine using a sample of 76 French entrepreneurs who have created new ventures since less than five years.

The results show no significant direct influence of the intensity of EET on the different dimensions used to measure entrepreneurial self-efficacy. However, we find that entrepreneurial parental environment and non-entrepreneurial parental environment constitute two distinct moderating learning contexts leading to opposite EET intensity–self-efficacy relationships.

Our research has several implications for both scholars and practitioners. From a theoretical standpoint, we extend the debate on direct and vicarious experiences and their respective impact on self-efficacy (Bandura, 1977; Baron and Henry, 2010). In the context of actual entrepreneurs in the post-creation stage, our results neither support nor invalidate the superiority of one specific type of experience. In our research, vicarious experience appears fully effective when interacted with other sources of learning such as EET. As such, theoretical attention should shift from the stand-alone effect of vicarious experience on self-efficacy to its fostering effect on other learning sources. Rather than opposing these two (direct and vicarious) types of experiences, future research should theorize their joint effect on entrepreneurial self-efficacy. Moreover, in showing the importance of entrepreneurial parental environment, our research responds to the call to further study the contingent factors enhancing the impact of EET (and deliberate practice of entrepreneurial learning) on entrepreneurial self-efficacy (Fayolle and Gailly, 2015; Litzky et al., 2020; Rideout and Gray, 2013). From a practical standpoint, our results help formulate recommendations on how to design EET programs to enhance nascent and actual entrepreneurs' self-efficacy. Given the central role of an entrepreneurial parental environment in developing self-efficacy, we suggest that, in addition to teaching traditional entrepreneurial academic content, EET programs should allow students to vicariously experience the entrepreneur's curriculum through in-depth role modeling. More precisely, this role modeling should go beyond mere testimonials and engage students in trusted, intense, repeated interactions with inspiring instructors, both entrepreneurs and lecturers, to create and activate the fostering conditions of an entrepreneurial (parental) environment. In simulating quasi-parental role modeling within EET programs, academic institutions can contextualize the positive impact of EET on entrepreneurial venturing.

Learner-centered interactions determine the look and feel of online courses, influencing the way learners experience them. In this chapter we investigate considerations related to three types of interactions: learner–content, learner–instructor, and learner–learner. Learners interact with content through the course structure and layout. They also interact with peers who may be cast in the role of community members, there to provide social support, or they may be more prominently cast as information providers and/or collaborators. The learner is at the center of both content and peer interactions. Instructor interactions set expectations for learners and facilitate learner interactions with content and peers. Instructors are instrumental forces in bringing about connections between learners, enabling the social presence necessary for collaboration. Instructor interaction may also be relational, enabling individualized connections between learners and the instructor. Redesign decisions center on creating a course structure that fits the learner and content and results in a satisfying course experience. We use the power of metaphor to bring into focus the most relevant considerations. In the end, we illustrate the redesign of a single course through the lens of three separate metaphors to demonstrate how metaphor shapes the process, bringing together design and interaction decisions to create unique and elegant course designs.

Educators have always blended technology and pedagogy. With written, aural, and visual methods of sharing information optimized over time, the college and university classroom experience became a planned presentation of explicit knowledge through the revelation of course content. A respectable academic space emerged across disciplines where “the sage on the stage” could require textbooks and normalize assessment outcomes because content was decidedly controllable. There is a pedagogical crisis looming in higher education, however, the epicenter of which is student access to educational content that is useful and reliable without the major investment of a four-year degree. This crisis challenges higher education instruction to be less the medium of explicit knowledge (as it has been for decades) and more the dynamic and interactive medium whose mission is improving the thinking capacity of students through sharing and creating explicit and tacit knowledge. This chapter accordingly suggests that a seismic shift toward collaborative, problem-based approaches to learning is in order so that higher education instruction can redefine itself.

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

In this chapter, we explore how new technologies, namely, video essays, audio-based feedback, and electronic portfolios, can transform traditional composition curriculum and deepen student learning. We begin by discussing how new technologies connect and enhance learning experiences, especially within writing-intensive courses. For each of the three technologies, we provide a brief literature review, give a local case study, and conclude with suggested applications and related resources.

Performance management, human resource management.

This case is appropriate for undergraduate and post graduate studies.

A premier business school in Central India decides to offer the Best Teacher Award to a faculty who gets the highest feedback from the students. The idea is to motivate the faculty and also help them improve their teaching pedagogy/style, etc. A feedback form is designed and administered in the last session of the course. The average across all the sections and courses is calculated and displayed on the institute's intranet. Soon doubts are raised on the validity of the decision to give away the Best Teacher Award based on students' feedback. The case makes an attempt to highlight that performance is a function of several factors. What apparently seems to be a great performance may not be a great performance and similarly what apparently appears to be poor performance may not necessarily be poor performance. One needs to dig deep into this to arrive at any meaningful conclusion.

Performance should not be judged at face value. Performance analysis is necessary for any meaningful decision.

Teaching notes.

The concept of innovation should not be reduced to its technological dimension but encompasses the whole context of its deployment and implementation. Regardless of technology, an innovation may be successful or not depending on how well its implementation suits each single context. In the case of education, this consists, to a sizeable extent, in a communicational and interpersonal context. The hypothesis of this piece is that maintaining optimal communication between participants is a key factor of success of new online teaching methods. Given that in this regard, there are similarities between negotiating practice and teaching practice, it is worth examining whether good practices developed in online international negotiation are transferable to online teaching. The chapter identifies a number of practices from online negotiation that perform well in online teaching. It focuses on communicational aspects, mutual understanding (monitoring and optimization of understanding), motivation to listen, attention, active participation, and non-verbal communication. Online teaching and online negotiation share another common feature: some unresolved challenges are common to both disciplines. This should also be taken into account when migrating educational programmes online. The research is informed by the author's first-hand experience from practice in both international diplomatic negotiation and academic teaching.