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Vol. 20 No. 7 (2023): Quarterly Issue 4

Published: 31 December 2023

Editorial

  • Editorial: Artificial Intelligence is Awesome, but Good Teaching Should Always Come First.

    Joseph Crawford, Carmen Vallis, Jianhua Yang, Rachel Fitzgerald, Christine O'Dea, Michael Cowling

    The explosion of generative artificial intelligence into the mainstream of society some twelve months ago has seriously challenged learning and teaching practice. Since then, AI companies such as OpenAI are constantly improving their language models and releasing new features to make them more capable and useful. So, given there have been many disruptors in the past and emerging disruptions in the present, what can we learn in this situation, where Generative AI stands poised to challenge the purpose and relevance of assessment models? From our examples, disruptive technologies only have a major impact when they positively transform practice and are informed by pedagogic models and learning theory. GenAI as a disruptor is only likely to have this positive impact when it informs quality learning and teaching practice. We should be focused on the opportunities that GenAI now presents to higher education. It is argued here and elsewhere that the relative weakness of GenAI is that it creates poor quality output, delivering uninformed, incorrect, biased and bland responses. In itself, this offers opportunities for ‘teachable moments’ (Newell et al, 2023) and gives us room to support students with their capabilities in an AI informed world. Historically, these opportunities enable higher education to grow and progress. What we have learned so far would appears to be that for research to contribute to the literature, they needed to be informed by it. Likewise, need to ensure that pedagogy, andragogy, and heutagogy come first. We also need to remember that people processes happen, artificial intelligence happens around them, and that artificial intelligence comes after human intelligence.

Curriculum and Assessment Design

  • The Mindful Interactions (MI) tool: promoting student mental health in tertiary education

    Elspeth Stephenson, Helen Yost

    This conceptual paper introduces the Mindful Interactions (MI) tool designed to enable university teaching academics to promote student mental health and in so doing, impact positively on academic outcomes. The MI tool is comprised of three elements: understandings to provide theoretical guidance which inform pedagogy, practices to provide strategies for translating theory into practice, and guiding principles which provide a catalyst for critical reflexion, challenge existing beliefs, and create a shared vision from which to work. Relationships are at its core, acknowledging that university students report teacher-student relationships as key to their mental health. Issues related to university student mental health, of which psychological distress is an important component, have been well documented and exacerbated since the onset of COVID-19, increasing demands on universities to meet student mental health needs. It is contended in this paper that understanding the causes of psychological distress, particularly in relation to Adverse Childhood Experiences, offers an alternative lens through which to view student mental health. This lens suggests additional ways of thinking about how university teaching academics and universities might proactively respond to student mental health needs. Cultural Historical Activity Theory informed the theoretical framework for the study, whilst two ‘approaches’ (the ‘Three Pillars of Trauma-informed Care’ and ‘Trust Based Relational Intervention’) along with associated trauma literature underpinned the development of the MI tool.

Academic Development

  • The Flinders University/TAFE SA Bachelor of Creative Arts dual award model: A case study

    Michelle Gander, Eric Bouvet

    This study aims to evaluate the effectiveness of the Bachelor of Creative Arts (BCA), a dual award degree offered jointly by Flinders University and TAFE SA. It first sets the rationale for the award while placing it in the Australian educational context, comparing it to equivalent programs offered at other institutions. It then provides an insight into the characteristics of a cohort of students. To achieve this, the study analyses a range of key quantitative metrics including demographics, enrolment numbers, attrition, student experience surveys and grade distributions to determine the cohort’s profile. Additionally, the study seeks information from recent graduates already in the workforce to establish if the BCA provides the skills leading to successful employment. This study reveals a mixed picture of the BCA’s success. While degree completion and student satisfaction are high, alumni are not all convinced that having a university degree provides a significant advantage for the job market as opposed to only having a TAFE qualification. Finally, the study offers recommendations to address these issues and improve the overall student experience as well as enhance their employment prospects.

  • Utilising Features of Sport Commentating to Provide a Framework for Co-Teaching the Online Lecture

    Christopher E. Jones, Gabriel G. Perrone

    Higher education teaching abruptly changed during the COVID-19 pandemic to remote, on-line learning and teaching. The use of on-line communication software to teach became the norm and remains at many institutions. This software contains features, such as the chat, that offer teaching and learning advantages; however, potential benefits can be challenging to realise for academics used to traditional modes of lecture delivery. In most cases a solo-taught lecture designed for a physical room does not transition well to the on-line space. Co-teaching, which involves two or more academics teaching the same class, is a pedagogy that can improve engagement and satisfaction for students and academics alike. However, how co-teaching can transition to the on-line space and take full benefit of the communication software features is not well known. We recognised that some aspects of sports announcing (commentating) align with desirable qualities of co-teaching on-line. In this paper we use these features to develop a practical framework for co-teaching in the on-line space and evaluate the model in a second-year university science subject. Using data from student surveys, we found that the co-teaching model helped integrate the chat functionality into the main lecture and led to improved engagement and enjoyment of on-line classes. The model also assisted students in identifying key learning outcomes. Using the framework as a practical guide for how to incorporate co-teaching into on-line classes helps realise the benefits of contemporary communication software.

Educational Technology

  • Learning with Generative Artificial Intelligence Within a Network of Co-Regulation

    Jason M. Lodge, Paula de Barba, Jaclyn Broadbent

    The emergence of generative artificial intelligence (AI) has created legitimate concerns surrounding academic integrity and the ease with which such technologies might lead to cheating in assessment, in particular. However, fixating solely on potential misconduct is overshadowing a more profound, transformative interaction between learners and machines. This commentary article delves into the relationship between students and AI, aiming to highlight the need for revised pedagogical strategies in the AI age. We argue that the much-discussed approaches that prioritise AI literacy or augmented critical thinking might be inadequate. Instead, we contend that a more holistic approach emphasising self-regulated learning (SRL) and co-regulation of learning is needed. SRL promotes autonomy, adaptability, and a deeper understanding, qualities indispensable for navigating the intricacies of AI-enhanced learning environments. Furthermore, we introduce the notion of a network of co-regulation, which underscores the intertwined learning processes between humans and machines. By positioning the self at the core of this network, we emphasise the indispensable role of individual agency in steering productive human-AI educational interactions. Our contention is that by fostering SRL and understanding co-regulated dynamics, educators can better equip learners for an interconnected AI-driven world.

  • Exploring Cross-Cultural Teacher Perspectives on Student Engagement in Virtual Learning Environments During The COVID-19 Pandemic

    Ishaq Al-Naabi, Javier Cifuentes-Faura, Louert To, Deborah Odu Obor

    The rapid transition to emergency remote teaching during the COVID-19 pandemic posed challenges for teachers, students, and higher education institutions, impacting students' learning and engagement in the learning process. Based on Self-Determination Theory, this paper employs a collective case study research methodology to examine teachers' strategies for supporting students' learning and engagement in virtual learning environments during emergency remote teaching in the pandemic era, with the goal of offering guidelines to assist teachers in fostering student learning and engagement in these virtual settings. The inductive thematic analysis of eight semi-structured interviews with teachers from Spain, Oman, Nigeria and Cambodia revealed some challenges faced by teachers in engaging their students in virtual environments and some teaching and support strategies that teachers adopted to enhance students’ engagement in virtual classrooms. The study synthesised a set of strategies for teachers in higher education to support students’ engagement and learning in online environments. Teachers’ autonomy, structure and involvement support strategies had a behavioural, emotional, cognitive, and agentic engagement on students’ learning process. The paper discussed limitations and future research endeavours in online teaching and learning and students’ engagement.

  • University Student Perceptions of Online Learning in Jordan

    Khleef Alkhawaldeh, Sarah Eldurini, Dima Alrai, Sara Yaghmourian

    This research paper examined Jordanian university students' perceptions of online learning in terms of knowledge, attitude, and practice (variables of the KAP model). It also investigated the relationship between their perceptions of online learning and their academic performance. students' perceptions of variables of the KAP model toward online learning were measured through an online questionnaire distributed to Jordanian universities students. Academic performance was also measured by identifying students' perceptions of their academic performance after switching to online learning due to COVID-19. One-sample t-test results indicated that the means of responses fall within the area of agreement (agree and strongly agree) regarding students' perceptions of online learning in terms of knowledge, attitudes, and performance without any significant differences. Correlation and regression analysis showed statistically significant relationships between students' perceptions of their knowledge, attitudes and practices toward online learning and their academic performance. Such a positive perception of students towards online learning can be implied by educational institutions and educators to put the best use of online learning as a starting point to complement traditional face-to-face teaching by investing in technologies that support online learning, and by enhancing and improving online platforms to deliver course materials, provide additional resources, and facilitate discussions and collaboration among students in a more effective, efficient way.

  • A Wolf in Sheep’s Clothing? Critical Discourse Analysis of Five Online Automated Paraphrasing Sites

    Kay M. Hammond, Patricia Lucas, Amira Hassouna, Stephen Brown

    Research on academic integrity used to focus more on student character and behaviour. Now this research includes wider viewing of this issue as a current teaching and learning challenge which requires pedagogical intervention. It is now the responsibility of staff and institutions to treat the creation of a learning environment supporting academic integrity as a teaching and learning priority. Plagiarism by simply copying other people’s work is a well-known misconduct which undermines academic integrity; moreover, technological developments have evolved plagiarism to include the generation and copying of computer-generated text. Automated paraphrasing tool (APT) websites have become increasingly common, offering students machine-generated rephrased text that students input from their own or others’ writing. These developments present a creeping erosion of academic integrity under the guise of legitimate academic assistance. This also has implications for arrival of large language model (LLM) generative AI tools. In accessing these sites, students must discern what is a legitimate use of the tool and what may constitute breaching academic integrity. This study critically analysed the text from five online paraphrasing websites to examine the discourses used to legitimise and encourage APT use in both appropriate and inappropriate ways. We conceptualised these competing discourses using Sheep and Wolf metaphors. In addition, we offer a metaphor of the Educator as a Shepherd to become aware of APT website claims and assist students to develop critical language awareness when exposed to these sites. Educators can assist students with this through knowledge of how these sites use language to entice users to circumvent learning.

Student Experience

  • Exploring disruption through the lens of an adapted Five Senses Framework

    Theresa Ashford, Peter A. Innes, Karen Hands, Sarah Casey, Jacqueline Blake

    This quasi-experimental research design surveyed 688 students through a self-administered online survey to specifically explore relations between student self-assessed capabilities (Lizzio Five Senses, 2006), overall program satisfaction, withdrawal behaviours, demographics and year of study in their university courses during an emergency COVID-19 lockdown experience. Importantly, this research offers a more nuanced view of the Five Senses and confirms their importance as a university strategy for student success. These findings offer further granularity into the complex set of relations that impact decisions around satisfaction, persistence, and capability in higher education and support previous research by Lizzio and Wilson (2008) indicating students’ perceptions of purpose is the strongest predictor of satisfaction, lower anxiety and lower course withdrawal. Ultimately, the paper suggests as higher education looks towards future possible disruptions due to climate, health or political realities, equipping and fostering a strong sense of purpose, connectedness, and resourcefulness as well as sense of capability and academic culture will buffer and support students to persevere. In addition, this research suggests that those students who may have weak associations with these senses merit additional attention.

  • Tutors’ Responses to Student Disclosures: From “Suicidal Ideation to “Feeling a Little Stressed”

    Alexander Walker, Sandi L. Tait-McCutcheon, Amanda Gilbert

    Tutors in higher education are receiving and responding to student disclosures that include racism, anxiety, loneliness, legal disputes, family upheavals, physical, emotional, and mental health, bereavement, legal battles, and harassment. In many cases, this caring aspect of the tutor role is not acknowledged, allocated time in job descriptions, or accurately remunerated. This qualitative study explored how tutors experienced and managed student disclosures, the personal and professional impact of responding to disclosures, and how tutors believed they could be better supported. Data was collected from two cohorts of participants tutoring at a University in Aotearoa New Zealand. using interviews and questionnaires and analysed by reflexive thematic analysis. Our findings showed that our participants believed they were positioned vulnerably between a rock and a hard place. At the rock, tutors were told to follow university guidelines and refer distressed students to over-loaded course coordinators or over-subscribed support services. At the hard place, tutors were often the first to be disclosed to, because of their front-facing positioning at the university and once they had heard the disclosure felt it was unethical not to try and help. Tutors believed they could assist students with personal challenges if their precarious positioning within the university was protected and strengthened and if appropriate support was provided by their university through training, time, and remuneration. Findings have implications for higher education providers to reconsider how tutors are supported to support students.

  • Choose your own adventure: understanding why students prefer certain types of assessment

    Ryan Jopp, Jessica L. Pallant, Heather Russell

    Empowering students with choice when it comes to assessment is shown to have a positive impact on student satisfaction and success, with previous studies finding a more flexible approach to assessment can promote engagement and performance. However, very little is known about why students choose certain types of assessment. Building on previous research, this study examines the many factors that influence student choice of assessment in an undergraduate business unit. Leveraging data collected over two semesters, our study found that student choice of assessment was primarily influenced by whether students thought the assessment was interesting, with 46% of overall respondents stating that this strongly influenced their decision. Requirements easy to understand (41%) and Better schedule fit (39%) rounded out the top three reasons for choosing an assessment. In contrast, only 22% of students were strongly influenced by the relevance of the assessment to their current career and 23% to the relevance to their future career. This raises some critical questions for educators, and the higher education sector more broadly, given the apparent focus on the creation of career-ready graduates. As such, our results can help higher education institutes determine the best possible mix of assessment tasks, by better understanding the wants and needs of students in order to provide a high quality learner experience.