scholarly journals Practice Perspectives on Learning Analytics in Higher Education

Author(s):  
Geraldine Torrisi-Steele ◽  
Victor X. Wang ◽  
Joy Galaige

Learning analytics have taken higher education by the proverbial “storm.” Universities primarily employ learning analytics at the level of metrics to satisfy institutional requirements but are also investing significant effort in technical development. In the domain of teaching, learning analytics are making an appearance but are much less developed than in institutional or technical domains. On the basis of the potential of learning analytics to inform teaching practice and thus improve learning experiences, course instructors are now encouraged to use learning analytics at classroom level. Early forages are giving mixed results, and some confusion reigns among teaching staff in relation to the usability/value of learning analytics. The fundamental premise of the present chapter is that if potential of learning analytics to improve learning experiences is to be realized, then learning analytics must shift further into the practice domain, and this requires the projection of learning theory onto learning analytics.

2020 ◽  
Author(s):  
Neil Van Der Ploeg ◽  
Kelly Linden ◽  
Ben Hicks ◽  
Prue Gonzalez

Student Retention and Attrition guidelines are part of the Federal Government’s performance based funding framework. One of the recommendations from the Higher Education Standards Panel review is to consider changing students’ enrolment prior to census date when a certain level of engagement is not met. This study investigates this recommendation by trialing and testing a model to see if completely disengaged students are able to be retrospectively identified as at risk of failing all subjects. Using learning analytics alone to create a predictive model at scale proved to be very difficult. When applied to session 1 of 2019, even the strictest criteria included five false positives out of 17 identified students. There is promise, however, that a hybrid model of learning analytics with additional oversight from teaching staff could be a solution, but this needs further research.


Author(s):  
Geraldine Torrisi-Steele

Higher education institutions are investing significant effort into the improvement of student success, retention and satisfaction. Some effort is being expended in research seeking to understand influencing factors, but the majority of effort is directed towards improving teaching quality. Effort to improve teaching quality is characterised by professional development initiatives, the general aim being to facilitate the shift away from traditional teacher-centred approaches, towards student-centred approaches. Though these initiatives are useful there exists an omission (or at the very least an area of severe-under-emphasis) within the discourse surrounding teaching quality in higher education – explicit attention to the teacher-student connection. The premise of the present article is that to make greater inroads into bettering student experiences and outcomes, the teacher-student connection, along with the humanist perspective in which it is embedded, is integral to the quality teaching practice in higher education.


2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Nadia Conroy

Social media sites are increasingly being adopted to support teaching practice in higher education. Learning Analytics (LA) dashboards can be used to reveal how students engage with course material and others in the class. However, research on the best practices of designing, developing, and evaluating such dashboards to support teaching and learning with social media has been limited. Considering the increasing use of Twitter for both formal and informal learning processes, this paper presents our design process and a LA prototype dashboard developed based on a comprehensive literature review and an online survey among 54 higher education instructors who have used Twitter in their teaching. Keywords : Learning analytics, teaching, dashboards, survey


2021 ◽  
Vol 23 (3) ◽  
pp. 156-182
Author(s):  
V. Z. Kantor ◽  
Yu. L. Proekt

Introduction. The institutionalisation of inclusion in higher education determines new requirements for university teachers, what is also found in the field of psychological readiness for the implementation of the educational process with the participation of students with disabilities. Aim. The present research was aimed to develop theoretical framework and experimental verification of the model of psychological readiness of academic teaching staff for the implementation of an inclusive educational process. Methodology and research methods. Methodologically, the research was based on the idea that the true implementation of inclusive higher education is conditioned by the formation of an inclusive culture of university teachers, which serves as the foundation for the implementation of inclusive practices and policies and one of the immanent attributes of which is psychological readiness to implement the educational process with the participation of disabled students. In the diagnostic and methodological terms, the current study relied on the authors' questionnaire containing the blocks of questions built using a 5-point Likert scale and characterising the severity of the various components of such readiness among university teachers in relation to working with disabled students of diverse nosological groups. The survey results were analysed qualitatively and quantitatively using the Cronbach Alpha coefficient, Shapiro-Wilk, Kolmogorov-Smirnov, Mann-Whitney tests, and the median test applying the Pearson test. To check the consistency of the proposed theoretical model of the psychological readiness of university teachers to implement an inclusive educational process, structural equation modelling (or SEM - the method of asymptotically non-parametric assessment) was employed. For statistical calculations, the program IBM SPSS Statistics ver.23 and the AMOS module were used. Results. The integrative model of the psychological readiness of faculty for the implementation of an inclusive educational process has been theoretically substantiated and experimentally confirmed. This model includes a motivational-value component (the acceptance of the values of an inclusive culture, beliefs and attitudes of the teacher regarding inclusive education), an affective component (the emotional acceptance of the situation of inclusive education and its subjects) and an operational component (the teacher's assessment of own skills in using the tools of inclusive education). In the presented model, the teacher's methodical preparedness for teaching students with disabilities acts as a cognitive component, and the resulting component is the implementation of inclusive practice based on the willingness and ability to interact with students with disabilities. It was found that, to the greatest extent, university teachers have formed a motivational readiness to implement inclusive education, but they experience a deficit of operational skills, when working with students with disabilities. At the same time, the level of psychological readiness to implement an inclusive educational process significantly differs depending on the subject specialisation of teachers and the presence / absence of previous experience of interaction with people with disabilities. Scientific novelty. The model of the psychological readiness of teachers for the implementation of inclusive education in Russia was developed and empirically confirmed. Practical significance. The findings of this research highlight the significance of the stages of the formation of university teachers' psychological readiness for inclusive education. The following stages are determined: from providing basic methodological readiness in the framework of professional development through the creation of internal conditions for readiness for inclusive education, examining the experiences and psychological difficulties in interacting with people with disabilities, and, finally, to accompanying the actual inclusive teaching practice.


2019 ◽  
Vol 7 (2) ◽  
pp. 41-55 ◽  
Author(s):  
Amir Winer ◽  
Nitza Geri

Learning Analytics Dashboards (LAD) promise to disrupt the Higher Education (HE) teaching practice. Current LAD research portrays a near future of e-teaching, empowered with the ability to predict dropouts, to validate timely pedagogical interventions and to close the instructional design loop. These dashboards utilize machine learning, big data technologies, sophisticated artificial intelligence (AI) algorithms, and interactive visualization techniques. However, alongside with the desired impact, research is raising significant ethical concerns, context-specific limitations and difficulties to design multipurpose solutions. We revisit the practice of managing by the numbers and the theoretical origins of dashboards within management as a call to reevaluate the “datafication” of learning environments. More specifically, we highlight potential risks of using predictive dashboards as black boxes to instrumentalize and reduce learning and teaching to what we call “teaching by the numbers”. Instead, we suggest guidelines for teachers’ LAD design, that support the visual description of actual learning, based on teachers’ prescriptive pedagogical intent. We conclude with a new user-driven framework for future LAD research that supports a Learning Analytics Performance Improvement Design (LAPID).


Computers ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 110
Author(s):  
Janika Leoste ◽  
Larissa Jõgi ◽  
Tiia Õun ◽  
Luis Pastor ◽  
José San Martín López ◽  
...  

Emerging technologies (ETs) will most likely have a strong impact on education (starting with higher education), just like they have already had in so many economic and social areas. This paper is based on the results obtained in the project “My Future Colleague Robot”, an initiative that aimed to improve the competence of university teaching staff regarding the introduction of ETs in teaching practices at university level. In this paper, we identified the strengths and weaknesses, opportunities, and threats that are related to the adoption in higher education of the combination of two ETs: robotics together with artificial intelligence (AI). Additionally, we analyzed the perceptions of university-level teaching staff about the potential of introducing ETs in education. The empirical data presented here were collected using written essays from 18 university teachers and students. Deductive and inductive approaches with thematic analysis were used for the data analysis. The findings support the idea that previous ET-related experience can support positive attitudes and the implementations of ETs in university teaching; in this study, university teachers had optimistic expectations towards ETs, accepting them as part of teaching practice development, while discussion about the negative effects of ETs was negligible.


Author(s):  
Carlos Llopis-Albert ◽  
Francisco Rubio

<p>In the digital era, the teacher assumes very diverse roles among which are to be an adviser, a generator of multimedia content, and more recently a data analyst. Big data analytics may play a major role in Higher Education for all the agents involved, the teachers and educators, the students themselves and the managers or heads of university centers. This paper applies learning analytics to the subject of Theory of Machines and Strength of Materials of the bachelor's degree in Chemical Engineering at Universitat Politècnica de València (Spain). The aim of analyzing the available information is to improve teachers’ actions and communication, to enhance resource efficiency, to assess classroom procedures, the achievement of transversal competences, the student typology and their results, or the attitudes and commitment they acquire with the subject taught. Results show the existence of niches with competitive advantages, improvements in the quality and performance of the teaching-learning experience.</p>


2018 ◽  
Vol 15 (2) ◽  
pp. 50-66
Author(s):  
Gail Wilson ◽  
◽  
Paula Myatt ◽  
Jonathan Purdy ◽  
◽  
...  

This research examines the design and delivery of a new Foundations of University Teaching Practice (FUTP) program delivered through asynchronous online modules. The freedom to choose defines the new momentum of openness in distance and open learning. University teaching staff expect quality resources to support their professional development within the reality of limited time for learning and a desire for increased accessibility. Openness and increased access bring both opportunities and challenges. This paper uses mixed methods to examine the FUTP from the perspectives of both the designers and the academic staff who participated in the program. Using personal reflections, focus groups, a survey, and interviews, we explore those opportunities and challenges within the context of the design and delivery of the program and report on the findings. Our research confirmed the value of openness and increased access to professional learning in higher education


Author(s):  
Luis Ochoa Siguencia ◽  
Gilberto Marzano ◽  
Renata Ochoa-Daderska ◽  
Zofia Gródek-Szostak ◽  
Anna Szeląg-Sikora

COVID-19 outbreak has changed the economic and social relations and caused a critical impact on the higher education system. The closure of University campuses to prevent community transmission of the Coronavirus SARS-CoV-2 has shifted face-to-face classes to online learning, distance learning, e-learning, mobile learning, and social learning. E-Learning and virtual education may become an essential component of the higher education system in the next years. Accordingly, teaching staff had to adapt their teaching methodology and tools to eLearning tools and platforms for effective student engagement. This paper reports on a first study conducted from December 2020 to January 2021, involving one hundred Higher Schools teachers of Management in the Silesia Region.The study showed many serious problems related to the emergency teaching-learning experience since it was essentially based on the translation of face-to-face approach in the online environment. 


2018 ◽  
Vol 16 (3) ◽  
pp. 55
Author(s):  
Peter Rowlett

Over recent decades, our community has operated numerous projects and produced countless resources. Certainly some of these were of their time and are now of limited value, but many still offer huge potential for those engaged with teaching, learning, assessment and support in higher education mathematics, statistics and OR. However, projects that are no longer running may not be in a position to advertise their resources, so how will people discover them? I write to propose a new feature in MSOR Connections that would offer short reviews of legacy resources. These could be resources for use with students or teaching practice guides. The aim is to shine a light on little-used, perhaps-forgotten but good-quality resources produced under now-defunct projects.


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