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There is a growing mismatch between the skill demands of the industry and the offerings of academia. One way of reducing this mismatch is by improving collaborations between practitioners and instructors using web-networking platforms. However, it is important to understand practitioners’ considerations while collaborating with instructors. Therefore, this study identified these considerations in order to infer inputs for the design of the graphical user interface (GUI) of a web-based platform for connecting instructors and practitioners.

A mixed method was adopted through a survey and focus group. A survey was used to capture practitioners’ considerations while collaborating with instructors for student development, and a focus group helped uncover an in-depth understanding of the study phenomena. The data were analyzed using descriptive and inferential statistics and thematic analysis.

The results show the willingness of practitioners to collaborate with instructors for student development, the ways by which practitioners are willing to meet instructors' course-support needs and their considerations in deciding to do so. Slight differences were observed between the results of the survey and the focus group regarding the ranking of the practitioners’ considerations. The study highlighted demographic differences in practitioners’ considerations when deciding on meeting instructors' course-support needs. The results provide a basis to deduce the GUI inputs of web-networking platforms for connecting instructors and practitioners.

This study revealed practitioners’ design needs and GUI inputs to facilitate the design of web-networking platforms for connecting instructors and practitioners. This study also contributes to user interface design principles, theories on individual differences and practitioners’ involvement in student professional development.

Social media are increasingly being used in teaching and learning in higher education. This paper aims to explore multiple case studies to better understand how instructors decide to incorporate social media into learning.

This qualitative case study used the technology acceptance model (TAM) to explore five instructors' use of social media for teaching and learning, particularly the pedagogical reasons and goals driving their use of social media. Participant interviews, course documentation and social media observation data were collected to answer the research questions.

Findings suggest that an instructor's social media knowledge and awareness of instructional goals are important for the use of social media in learning. Three pedagogical objectives of the use of social media were found across five participants: collaborative learning, dialog and discussion, and authentic learning.

Previous studies have explored potential pedagogical uses of social media tools, however studies that attempt to understand how and why instructors decide to use particular social media tools are underreported.

Our goals were to explore the pedagogies applied by instructors that supported Black, Indigenous and People of Color (BIPOC) student learning in a leadership course and the leadership behaviors BIPOC students identified as being applicable after the course.

Through survey research and qualitative data analysis, three prominent themes emerged.

High-quality, purposeful pedagogy created opportunities for students to learn. Second, a supportive, interactive community engaged students with the instructor, each other and the course material to support participation in learning. As a result, students reported experiencing big shifts, new growth and increased confidence during their leadership courses.

We discuss our findings and offer specific recommendations for leadership educators to better support BIPOC students in their leadership courses and classrooms and for further research with BIPOC students.

Following the COVID-19 pandemic, most higher education institutes shifted to online learning as the sole alternative to continuing education while mitigating the risks imposed by the pandemic. This has raised several concerns regarding students’ learning experience, satisfaction and academic achievement, particularly in countries where students have restrained technological resources (i.e. developing nations). The current research aims to investigate the key factors influencing students’ attitudes, satisfaction and academic achievement among university students in an emerging market context (i.e. Morocco). The moderating effect of students’ motivation to study online was also scrutinized.

The authors propose an integrated conceptual framework that combines the technology acceptance model (TAM) with the outcomes of prior literature related to online learning. Based on data collected from 850 Moroccan university students, the authors empirically tested the conceptual model using a partial least squares (PLS) estimation.

First, attitude toward online learning and satisfaction positively impact university students’ academic achievement; at the same time, attitude positively impacts students’ satisfaction with online learning. Second, students’ satisfaction and attitude toward online learning were found to be mainly influenced by instructor performance, ease of use of the online learning platform, information quality, interactivity and perceived usefulness (PU). Finally, student motivation acts as a moderator, e.g. students with higher motivation to learn online are more likely to develop a favorable attitude toward online learning and can, therefore, accomplish better academic performance.

The current study makes a considerable contribution to the literature by contributing to the on-going debate about the potentials and challenges of online learning, particularly in an emerging country where education remains a considerable challenge. The study findings can help higher education institutes gauge the quality of online education programs and design efficient strategies to develop high-quality online learning for students. Our findings have implications not only for educational institutions and instructors in developing markets but also for the vendors of online course delivery software.

This study aims to explore the perceptions of language learners and instructors on using augmented reality (AR) in a hybrid learning environment.

Mixed-method research design was used to elicit information from 62 participants on the study’s objective. Data were collected and analyzed to examine the participants’ views on using AR in language teaching in a hybrid environment.

This study unveils that while most studies acknowledge AR as an effective instructional delivery, students and instructors perceive some setbacks. Other novel insights provided by this study reveal necessities to consider before implementing AR in classroom settings.

This study provides insights into the widely reported effectiveness of AR in the English language-teaching domain. This study suggests that considering the dispositions of learners and instructors toward digitally enhanced learning, using AR without good teaching practices and approaches may not yield expected learning outcomes.

This study advances scientific knowledge on the use of AR in hybrid learning models by providing empirical evidence to show the perceived effectiveness of AR. It further provides a robust understanding of the pedagogical implications of using AR in classroom settings drawing from diverse lenses. This helps ensure that educational settings that integrate AR consider the novel findings of this study before such implementation.

This study aims to explore first-year engineering students’ perceptions of the engineering librarian as an instructor in multimodal environments related to Information Literacy (IL) topics, teaching strategy, content evaluation, organising, planning and support.

A quantitative approach was used through a survey instrument based on an online questionnaire. Questions were adopted and modified from a lecturer evaluation survey. A simple random sampling technique was used to collect data from first-year cohorts of engineering students in 2020 and 2022.

Respondents perception of the engineering librarian as an instructor in multimodal learning environment was good. Findings revealed students’ learning experiences were aligned with IL instruction even though the environment changed from blended to online. However, an emerging theme that continuously appeared was a lack of access to technology.

These findings may help in developing and strengthening the teaching identity of academic librarians as instructors in multimodal learning environments.

To the best of the author’s knowledge, this study is novel in that it evaluates the teaching abilities of an academic librarian in multimodal environments through the lens of students.

After reviewing the literature focused on real-world course–client marketing projects as well as the literature regarding teaching entrepreneurial marketing (EM), the current paper assesses a census population (N = 106) of course–client projects selected by the current author via Riipen – an online course–project matching hub – for marketing courses taught from Spring 2018 through Spring 2023. The purpose of this paper is to uncover and explore the degree of EM teaching relevance of said course projects over the five-year span indicated.

All Riipen-sourced course–client projects selected by the current author for marketing courses taught from Spring 2018 through Spring 2023 (N = 106) were reviewed so that broad project-level and firm-level characteristics and trends – especially EM relevance – could be excavated and assessed over the five-year/10-semester span. In addition, an in-depth qualitative primacy-recency/bookend approach was taken with regards to the first semester (Spring 2018) and the most recent semester (Spring 2023).

The main finding is that Riipen-sourced course–client projects exhibited an increasingly high degree of EM relevance between Spring 2018 through Spring 2023. Project representatives at the founder/co-founder level or the equivalent made up only 20% of the pool in Spring 2018 yet constituted slightly over 94% of the pool by Spring 2023. Similarly, whereas only 33% of firms sourced and selected in Spring 2018 were in startup mode, fully 100% of firms selected in Spring 2023 were in startup mode.

The population of 106 Riipen-sourced-and-selected course–client projects do not represent a statistically valid basis for “apples-to-apples” comparisons because: the population of projects was spread across multiple courses and across multiple semesters over a five-year span where many shifts and trends were ongoing – including impacts to course-delivery modality due to COVID-19, and it is likely that unconscious idiosyncratic biases of the current author were operant during selection. Moving forward, researchers are encouraged to pursue questions such as the following: are there statistically significant EM-related learning outcomes that differ for students paired to projects that vary across the preliminary project taxonomy detailed?

Many practical teaching recommendations regarding effective ways to source, select and integrate high-EM course–client projects into otherwise standard-issue marketing courses are made. The paper also serves as something of a primer on how best to source and adapt Riipen marketing projects. Cautionary teaching notes and recommendations based on the current author’s observations are also shared.

Over the course of the five-period (Spring 2018 through Spring 2023), it was observed that a rapidly increasing percentage of firms on the Riipen platform self-identified as female-owned, minority-owned and/or LGBTQ-owned. Similarly, a moderately increasing percentage of marketing projects with “social entrepreneurship” and/or “social impact” and/or “environmental impact” elements were posted to the platform.

To the best of the author’s knowledge, this is the first peer-reviewed journal article to explore the EM value of real-world course–client marketing projects sourced via Riipen.

This paper aims to propose an innovative method for deploying a personalized instructor-created software-aided assessment system, that will disrupt traditional learning environments by allowing students to confidentially and with indirect supervision from the instructor, assess their knowledge and ability to achieve the course outcomes.

Through empirical evaluation in real-world educational settings, the authors examine the impact of augmenting human activity in the classroom with an innovative software platform to transform the learning process.

Findings indicate that this software-aided assessment system effectively augments human interactivity by providing timely instructor-designed feedback to increase knowledge retention and skillsets.

This study has shown that incorporating disruptive innovation through the use of software-aided assessment systems increases the effectiveness of the faculty in the classroom and enhances student learning and retention. Thus, a transformative software-aided assessment system design that incorporates artificial intelligence into the learning pathway should be pursued. These software-aided assessments are disruptive innovation as they are formative, frequent and require little direct involvement from the instructor.

To the best of the authors’ knowledge, this study is the first of its kind to incorporate artificial intelligence into the assessment process by analyzing results of pilot programs at several universities. The results demonstrate how using software-aided transformative assessments in various courses have helped instructors assess students’ preparedness and track their learning progress. These software-aided systems are the first step in bringing disruptive innovation to the classroom as these software-aided assessment instruments rapidly assess learners’ knowledge and skills based on short, easily created, multiple-choice tests, with little direct engagement from the faculty.