scholarly journals Predictive learning analytics and the creation of emotionally adaptive learning environments in higher education institutions: a study of students' affect responses

2021 ◽  
Vol 38 (2) ◽  
pp. 243-257
Author(s):  
Paul Joseph-Richard ◽  
James Uhomoibhi ◽  
Andrew Jaffrey
Keyword(s):  
Higher Education ◽  
At Risk ◽  
Learning Analytics ◽  
Higher Education Institutions ◽  
Well Being ◽  
Small Sample ◽  
Small Scale ◽  
Affective States ◽  
Content Type ◽  
Predictive Learning

PurposeThe aims of this study are to examine affective responses of university students when viewing their own predictive learning analytics (PLA) dashboards, and to analyse how those responses are perceived to affect their self-regulated learning behaviour.Design/methodology/approachA total of 42 Northern Irish students were shown their own predicted status of academic achievement on a dashboard. A list of emotions along with definitions was provided and the respondents were instructed to verbalise them during the experience. Post-hoc walk-through conversations with participants further clarified their responses. Content analysis methods were used to categorise response patterns.FindingsThere is a significant variation in ways students respond to the predictions: they were curious and motivated, comforted and sceptical, confused and fearful and not interested and doubting the accuracy of predictions. The authors show that not all PLA-triggered affective states motivate students to act in desirable and productive ways.Research limitations/implicationsThis small-scale exploratory study was conducted in one higher education institution with a relatively small sample of students in one discipline. In addition to the many different categories of students included in the study, specific efforts were made to include “at-risk” students. However, none responded. A larger sample from a multi-disciplinary background that includes those who are categorised as “at-risk” could further enhance the understanding.Practical implicationsThe authors provide mixed evidence for students' openness to learn from predictive learning analytics scores. The implications of our study are not straightforward, except to proceed with caution, valuing benefits while ensuring that students' emotional well-being is protected through a mindful implementation of PLA systems.Social implicationsUnderstanding students' affect responses contributes to the quality of student support in higher education institutions. In the current era on online learning and increasing adaptation to living and learning online, the findings allow for the development of appropriate strategies for implementing affect-aware predictive learning analytics (PLA) systems.Originality/valueThe current study is unique in its research context, and in its examination of immediate affective states experienced by students who viewed their predicted scores, based on their own dynamic learning data, in their home institution. It brings out the complexities involved in implementing student-facing PLA dashboards in higher education institutions.

Do learning organizations learn? Higher education institutions and pandemic response strategies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael T. Miller
Keyword(s):  
Higher Education ◽  
Organizational Behavior ◽  
Structural Changes ◽  
Higher Education Institutions ◽  
Well Being ◽  
Content Type ◽  
Institutional Leadership ◽  
Response Strategies ◽  
Global Pandemic ◽  
The Usa

Purpose This study was designed to address the problem of how higher education institutions, as organizations designed to promote learning, responded to the COVID pandemic and the suspension of in-person instruction. The purpose of this paper was specifically to explore how institutions go about learning from the pandemic to better prepare themselves for the future that they will face. Design/methodology/approach A researcher-developed survey instrument was distributed electronically to 300 faculty leaders at randomly selected universities in the USA. With three follow-up e-mail requests, the survey had a 31% usable response rate. Findings Survey results indicated that institutional leadership did not make strong use of shared governance in responding to the COVID pandemic in creating operational response strategies. Further, institutions did not alter their policies or make structural changes to be more adept in facing the challenges of a global pandemic and its impact on the financial well-being of the institutions. Although institutions did make changes to their attitudes about students, these were not developmental changes but rather behavioral modification expectations. Originality/value This study drew upon data collected after the first three months of the global COVID pandemic, providing an important first-look at organizational behavior in response to a largely unplanned global event.

scholarly journals Students’ perceptions of assessed seminar performance in law

2019 ◽  
Vol 10 (1) ◽  
pp. 1-15
Author(s):  
Laura Anne Bliss
Keyword(s):  
Higher Education ◽  
Student Retention ◽  
Design Methodology ◽  
Public Speaking ◽  
Higher Education Institutions ◽  
Small Scale ◽  
Student Attendance ◽  
Content Type ◽  
Positive Form ◽  
Key Skills

Purpose The purpose of this paper is to examine assessed seminars in law modules across first-, second- and third-year students at a higher education academy in Lancashire (England). This form of assessment is essentially a 1 h tutorial, where students are given marks for their oral contribution to class discussions. Assessment is a feature in all degree programmes conducted throughout higher education institutions. Recently, a move has been made from traditional examinations and coursework to assess students learning, to more inclusive forms of assessment following the changing nature of those entering higher education. Design/methodology/approach Using a quantitative survey, participants were asked to answer ten questions on their perceptions of assessed seminars as a form of assessment. To enhance the findings, interviews also took place with members of staff who had experience in teaching both assessed and non-assessed seminars. Findings This research found that although some students were daunted by assessed seminars, over the course of three years, their key legal skills had improved. Key skills enhanced through assessed seminars include communication-based skills and public speaking, whilst also being a positive form of assessment that maintains student retention. Research limitations/implications This is a small-scale research project, completed in the fulfilment of the authors PgCert. However, it does provide a template for other legal institutions to follow. Originality/value With a growing concern across the higher education sector around student retention, assessed seminars are proven to be a form of assessment that ensures student attendance, whilst enhancing skills ready for the workplace.

Increasing learning capacity in higher education institutions

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Higher Education ◽  
Design Methodology ◽  
Reading Time ◽  
Higher Education Institutions ◽  
Well Being ◽  
Governance Structures ◽  
Content Type ◽  
Learning Capacity ◽  
Effective Strategies ◽  
Pertinent Information

Purpose Higher education institutions need to increase their capacity to learn in order to respond effectively to unanticipated major crises. Exploiting knowledge of past situations can help them exploit governance structures and adjust policies in order to create effective strategies to help deal with challenges and boost well-being and resilience going forward. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Higher education institutions need to increase their capacity to learn in order to respond effectively to unanticipated major crises. Exploiting knowledge of past situations can help them exploit governance structures and adjust policies in order to create effective strategies to help deal with challenges and boost well-being and resilience going forward. Originality/value The briefing saves busy executives and researchers’ hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Predictive analytic models of student success in higher education

2019 ◽  
Vol 120 (3/4) ◽  
pp. 208-227 ◽  
Author(s):  
Ying Cui ◽  
Fu Chen ◽  
Ali Shiri ◽  
Yaqin Fan
Keyword(s):  
Higher Education ◽  
Student Success ◽  
Learning Analytics ◽  
Model Development ◽  
Text Documents ◽  
Content Type ◽  
Predictive Learning ◽  
Search Terms ◽  
Methodological Considerations ◽  
Analytic Models

Purpose Many higher education institutions are investigating the possibility of developing predictive student success models that use different sources of data available to identify students that might be at risk of failing a course or program. The purpose of this paper is to review the methodological components related to the predictive models that have been developed or currently implemented in learning analytics applications in higher education. Design/methodology/approach Literature review was completed in three stages. First, the authors conducted searches and collected related full-text documents using various search terms and keywords. Second, they developed inclusion and exclusion criteria to identify the most relevant citations for the purpose of the current review. Third, they reviewed each document from the final compiled bibliography and focused on identifying information that was needed to answer the research questions Findings In this review, the authors identify methodological strengths and weaknesses of current predictive learning analytics applications and provide the most up-to-date recommendations on predictive model development, use and evaluation. The review results can inform important future areas of research that could strengthen the development of predictive learning analytics for the purpose of generating valuable feedback to students to help them succeed in higher education. Originality/value This review provides an overview of the methodological considerations for researchers and practitioners who are planning to develop or currently in the process of developing predictive student success models in the context of higher education.

scholarly journals Predictive Learning Analytics 'At Scale': Guidelines to Successful Implementation in Higher Education

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Christothea Herodotou ◽  
Bart Rienties ◽  
Barry Verdin ◽  
Avinash Boroowa
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Learning Analytics ◽  
Large Scale ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Successful Implementation ◽  
Students At Risk ◽  
Educational Stakeholders ◽  
Predictive Learning

Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders (i.e., managers, teachers, students) about PLA. This paper presents an “at scale” implementation of PLA at a distance learning higher education institution and details, in particular, the perspectives of 20 educational managers involved in the implementation. It concludes with a set of recommendations about how best to adopt and apply large-scale PLA initiatives in higher education.

Management-led interventions for workplace stress and mental health of academic staff in higher education: a systematic review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ogechi Ohadomere ◽  
Ikedinachi K. Ogamba
Keyword(s):  
Mental Health ◽  
Higher Education ◽  
Systematic Review ◽  
Higher Education Institutions ◽  
Academic Staff ◽  
Well Being ◽  
Intervention Strategies ◽  
Workplace Stress ◽  
Content Type ◽  
Mental Well Being

Purpose This paper aims to focus on management-led intervention strategies aimed at achieving stable mental well-being among academic staff in higher education institutions (HEIs) by reviewing and synthesising existing literature on varying intervention strategies to managing workplace stress and improving mental health. Design/methodology/approach Twenty-two peer-reviewed articles were identified through databases (PsycARTICLES, PsycINFO, Business source complete, Academic search complete) and the application of the PRISMA guideline. A quality check was carried out on the selected articles, and a data extraction table was developed to aid the discussion. Findings Although the awareness of mental health is a global issue, there was minimal research evidence in managing stress and mental health among academic staff in HEIs through increased university management involvement. Most HEIs were more focused on corporatisation and student satisfaction while unconsciously neglecting its impact on the well-being of academic staff even though universities’ management portray staff welfare as priority. Research limitations/implications There is limited information measuring the outcome of various management-led mental well-being strategies in HEIs. Further research applying more robust study design rather beyond self-reported questionnaires and similar study designs is needed in this area. Practical implications Establishing routine mental health assessment, effective communication, continuous promotion of existing and available support is imminent to improve the mental well-being of academic staff by HEIs management. Originality/value This is the first systematic review that describes and synthesises the various mental health triggers, including workplace stressors, that affect academic staff in higher education institutions (HEIs) and summarises various possible management intervention strategies.

Use of Koha-integrated library system by higher education institutions in Malawi

2019 ◽  
Vol 35 (3/4) ◽  
pp. 117-141
Author(s):  
Aubrey Chaputula ◽  
Allan Kanyundo
Keyword(s):  
Higher Education ◽  
Diffusion Of Innovation ◽  
Large Scale ◽  
Higher Education Institutions ◽  
Small Scale ◽  
National Council ◽  
Software Cost ◽  
Content Type ◽  
Library System ◽  
Lack Of Information

Purpose The purpose of this paper is to study the use of Koha integrated library system by higher education institutions in Malawi. Design/methodology/approach The study made use of the diffusion of innovation theory as an anchoring model. Data were collected using a survey questionnaire that was administered to library managers of higher education institutions registered with the National Council for Higher Education in Malawi. The data collected were analyzed using SPPS version 21 to generate descriptive statistics. Findings The findings revealed that 84.2 per cent of libraries in higher education institutions in Malawi are automated, and 81.3 per cent of them are using Koha ILS and the rest were using proprietary and other open source software. Cost and technical aspects have been discovered to be the primary factors that have assisted in the rapid diffusion of Koha. The study also exposed some factors that negatively impacted the use of Koha in the adopting institutions. The main ones included lack of information and communication technology infrastructure, unreliable Internet connectivity and limited finances. Originality/value Previously, some small-scale case studies have been performed to examine implementation of Koha in some higher education institutions in Malawi. However, this is the first large-scale attempt to investigate use of Koha among higher education institutions in the country. Findings that have shown that Koha can be installed easily and used at minimal cost could assist in its rapid adoption in the higher education institutions, a majority of whom face a myriad of financial challenges.

Trends in learning analytics practices: a review of higher education institutions

2018 ◽  
Vol 15 (2) ◽  
pp. 132-154 ◽  
Author(s):  
Billy Tak-Ming Wong ◽  
Kam Cheong Li ◽  
Samuel Ping-Man Choi
Keyword(s):  
Higher Education ◽  
Learning Analytics ◽  
Higher Education Institutions ◽  
Background Information ◽  
Future Research ◽  
Content Type ◽  
Timely Feedback ◽  
The Usa ◽  
Learning Behaviours ◽  
The Uk

PurposeThis paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices.Design/methodology/approachThis research collected literature published in 2011-2016 which reported learning analytics practices from Scopus and Google Scholar, covering a total of 47 institutions, and categorised the information about the relevant institutions and practices.FindingsThe results show that most of the institutions were public ones in the USA and the UK of various sizes and offering different levels of study. The learning analytics practices were mainly institution-wide, apart from a small number focusing on selected courses. The purposes of the practices were mainly to enhance the effectiveness of learning support and administration, followed by facilitating students’ learning progress. The most common types of data collected for the practices were students’ academic behaviours and their background information. Positive outcomes were reported for a majority of the practices, and the most frequent ones being an increase in cost-effectiveness and understanding of students’ learning behaviours. Other outcomes included the improvement of student retention, timely feedback and intervention, support for informed decision-making and the provision of personalised assistance to students.Originality/valueThe results provide an overview of the use of learning analytics in the higher education sector. They also reveal the trends in learning analytics practices, as well as future research directions.

The use of information management towards strategic decision effectiveness in higher education institutions in the context of Bahrain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Esra Saleh Al Dhaen
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Information Management ◽  
Higher Education Institutions ◽  
Small Sample ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Future Research ◽  
Content Type ◽  
Decision Importance

Purpose Strategic decision importance has rarely been investigated as a decision-specific characteristic in the strategic decision-making process (SDMP) literature taking into consideration information management while taking important strategic decisions. Here, the ability of decision importance to predict decision effectiveness as an outcome of SDMPs in higher education institutions (HEIs) is examined in the context of Bahrain. Design/methodology/approach A conceptual model is developed relating decision importance to decision effectiveness indirectly via the SDMP characteristics intuition, rationality and decentralization. Data from a cross-sectional questionnaire completed by leaders of HEIs and academics involved in strategic decision-making in Bahrain are used to test the model and hypotheses via correlation analysis. The paper also considers a literature review of the use of information management while taking a strategic decision. Findings Decision importance is shown to positively influence decision effectiveness in Bahraini HEIs mediated by rationality and by decentralization in decision-making, although negative effects of decentralization are also demonstrated. However, decision importance does not influence decision effectiveness mediated by intuition. Research limitations/implications Due to the small sample size, the results cannot be generalized to contexts beyond HEIs in Bahrain. Additional SDMP characteristics of significance in the context of HEIs could be future investigated, for instance, political behaviour and lateral communication, are not included in the model. Future research exploring the latter two aspects could provide deeper insight into the findings. Practical implications The findings of this paper could be considered by HEIs senior management and members of the governing body while strategic decision-making, which could be at different levels, including strategic planning or assessing a strategic decision in terms of effectiveness. This paper will also provide insight one the use of information while considering strategic decision-making. Social implications A model leading for effective strategic decision-making could be used by leaders of HEIs and regulators including licensing bodies and QA agencies to set standards for HEIs for sustainable performance and quality education in line with United Nations Sustainable Development Goals and Initiative. Strategic decision-making will have an impact on the overall performance of HEIs and serve all relevant stakeholder’s including parents, students, employers and industry. Originality/value Little research conducted in relation to strategic decision-making in the Gulf Cooperation Council therefore, this research will add original findings and the outcome of this study will lead to future research related to SDMP and the use of information management in the overall strategic decision-making.

Exploring the benefits and challenges of learning analytics in higher education institutions: a systematic literature review

2019 ◽  
Vol 47 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Shahira El Alfy ◽  
Jorge Marx Gómez ◽  
Anita Dani
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Higher Education Institutions ◽  
Critical Role ◽  
Systematic Research ◽  
Content Type ◽  
Research Questions

Purpose The potential capabilities and benefits that learning analytics can provide are not fully utilized. A current stream of research suggests that learning analytics has more to offer for continuous improvement of higher education institutions. This study aims to explore the opportunities that data analytics stand to offer higher education and the challenges that plays down its role, adoption and usage in different areas of higher education institutions. Design/methodology/approach This study adopts a systematic literature review approach in answering the research questions. The critical role of learning analytics and the exploratory nature of research questions justify the use of systematic literature review. The current study used systematic research process adapted and presented by Hallinger (2013) to be used in social sciences in general and in educational leadership and management in particular. A standard process of finding relevant articles and examining reference lists is followed using articles from higher education which is the research context. Findings An examination of the literature showed that the majority of studies within the sample of articles are empirical representing 53 per cent, 32 per cent are conceptual, while only 15 per cent of the articles are a systematic literature review. Results also show that 58 per cent of the articles are teaching and learning related, 34 per cent are management related, while only 8 per cent are research related. Several challenges and opportunities of learning analytics in the three areas highlighted are presented and discussed. Originality/value The benefits and challenges of learning analytics are numerous and scattered in the literature. In this study, a typology related to different educational domains is developed to shed light on the benefits and challenges of learning analytics within particular higher education areas that are relevant to specific stakeholders. Benefits and challenges of learning analytics are classified into being management related, teaching and learning related and research related.

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