首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献，搜索用时 31 毫秒
1.
ABSTRACT

Universities are now compelled to attend to metrics that (re)shape our conceptualisation of the student experience. New technologies such as learning analytics (LA) promise the ability to target personalised support to profiled ‘at risk’ students through mapping large-scale historic student engagement data such as attendance, library use, and virtual learning environment activity as well as demographic information and typical student outcomes. Yet serious ethical and implementation issues remain. Data-driven labelling of students as ‘high risk’, ‘hard to reach’ or ‘vulnerable’ creates conflict between promoting personal growth and human flourishing and treating people merely as data points. This article argues that universities must resist the assumption that numbers and algorithms alone can solve the ‘problem’ of student retention and performance; rather, LA work must be underpinned by a reconnection with the agreed values relating to the purpose of higher education, including democratic engagement, recognition of diverse and individual experience, and processes of becoming. Such a reconnection, this article contends, is possible when LA work is designed and implemented in genuine collaboration and partnership with students.  相似文献   

2.
Abstract

Assessment and learning analytics both collect, analyse and use student data, albeit different types of data and to some extent, for various purposes. Based on the data collected and analysed, learning analytics allow for decisions to be made not only with regard to evaluating progress in achieving learning outcomes but also evaluative judgments about the quality of learning. Learning analytics fall in the nexus between assessment of and for learning. As such it has the potential to deliver value in the form of (1) understanding student learning, (2) analysing learning behaviour (looking to identify not only factors that may indicate risk of failing, but for opportunities to deepen learning), (3) predicting students-at-risk (or identifying where students have specific learning needs), and (4) prescribing elements to be included to ensure not only the effectiveness of teaching, but also of learning. Learning analytics have underlying default positions that may not only skew their impact but also impact negatively on students in realising their potential. We examine a selection of default positions and point to how these positions/assumptions may adversely affect students’ chances of success, deepening the understanding of learning.  相似文献   

3.
A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor-based technologies such as facial expression analysis and gaze tracking have introduced the opportunity to leverage multimodal data streams for learning analytics. Learning analytics informed by multimodal data captured during students’ interactions with game-based learning environments hold significant promise for developing a deeper understanding of game-based learning, designing game-based learning environments to detect maladaptive behaviors and informing adaptive scaffolding to support individualized learning. This paper introduces a multimodal learning analytics approach that incorporates student gameplay, eye tracking and facial expression data to predict student posttest performance and interest after interacting with a game-based learning environment, Crystal Island . We investigated the degree to which separate and combined modalities (ie, gameplay, facial expressions of emotions and eye gaze) captured from students (n = 65) were predictive of student posttest performance and interest after interacting with Crystal Island . Results indicate that when predicting student posttest performance and interest, models utilizing multimodal data either perform equally well or outperform models utilizing unimodal data. We discuss the synergistic effects of combining modalities for predicting both student interest and posttest performance. The findings suggest that multimodal learning analytics can accurately predict students’ posttest performance and interest during game-based learning and hold significant potential for guiding real-time adaptive scaffolding.  相似文献   

4.
Abstract

This is a systematic review conducted of primary research literature published between 2007 and 2018 on the deployment and effectiveness of data analytics in higher education to improve student outcomes. We took a methodological approach to searching databases; appraising and synthesising results against predefined criteria. We reviewed research on the effectiveness of three differentiated forms of data analytics: learning, academic and learner analytics. Student outcomes are defined as retention, academic performance and engagement. Our results find that three quarters of studies report the use of educational data analytics to be effective in improving student outcomes but their relationship with student outcomes requires further and more robust investigation and assessment. We argue that research must interpret and communicate effectiveness qualitatively, as well as quantitatively, by including the student voice in assessments of impact.  相似文献   

5.
This article describes a collaborative research project by the institutional research group and a team of faculty members at a Canadian university. In response to an increasingly diverse mix of students, the researchers set out to develop an understanding of relationships between student characteristics, categorized as demographic differences, personal attributes and academic preparedness, and student outcomes measured by both grades and student perceptions. Significant differences were found in grades outcomes based on characteristics such as international status, secondary school grades, study habits and writing skills. However, these differences were not evident in student perceptions of course value or learning achievement. This study has important implications for university administrators (recruiting, intake assessment and student support), instructors (understanding of diversity characteristics and how students perceive learning experience) and for students, who can be given an opportunity to better understand how their own personal characteristics might affect their learning experiences and outcomes.  相似文献   

6.
Abstract

The emergence of personalised data technologies such as learning analytics is framed as a solution to manage the needs of higher education student populations that are growing ever more diverse and larger in size. However, the current approach to learning analytics presents tensions between increasing student agency in making learning-related decisions and ‘datafying’ students in the process of collecting, analysing and interpreting data. This article presents a study that explores staff and student experience of agency, equity and transparency in existing data practices and expectations towards learning analytics in a UK university. The results show a number of intertwined factors that have contributed to the tensions between enhancing a learner’s control of their studies and, at the same time, diminishing their autonomy as an active agent in the process of learning analytics. This article argues that learner empowerment should not be automatically assumed to have taken place as part of the adoption of learning analytics. Instead, the interwoven power relationships in a complex educational system and the interactions between humans and machines need to be taken into consideration when presenting learning analytics as an equitable process to enhance student agency and educational equity.  相似文献   

7.
Abstract

Student data, whether in the form of engagement data, assignments or examinations, form the foundation for assessment and evaluation in higher education. As higher education institutions progressively move to blended and online environments, we have access to, not only more data than before, but also a greater variety of demographic and behavioural data. While the notion of ‘student-centred’ is well-established in the discourses and practices surrounding assessment and evaluation, the concept of student-centred learning analytics is yet to be fully realised by the sector. This article explores and extends this debate by introducing the teachings of Freire as a framework to examine the potential to include students as partners in the collection, analysis and use of their data. The exclusion of students in much of current learning analytics practices, as well as defining categories of analysis and making sense of (their) learning, not only impoverishes our (and their) understanding of the complexities of learning and assessment, but may actually increase vulnerabilities and perpetuate bias and stereotypes. In acknowledging the voice and agency of students, and recentring them as data owners, rather than data objects, learning analytics can realise its transformative potential – for students and institutions alike.  相似文献   

8.
ABSTRACT

The implementation of learning analytics may empower distance learning institutions to provide real-time feedback to students and teachers. Given the leading role of the Open University UK (OU) in research and application of learning analytics, this study aims to share the lessons learned from the experiences of 42 participants from a range of faculty, academic and professional positions, and expertise with learning analytics. Furthermore, we explored where distance learning institutions should be going next in terms of learning analytics adoption. The findings from the Learning Analytics User Stories (LAUS) workshop indicated four key areas where more work is needed: communication, personalisation, integrated design, and development of an evidence-base. The workshop outputs signalled the aspiration for an integrated analytics system transcending the entire student experience, from initial student inquiry right through to qualification completion and into life-long learning. We hope that our study will spark discussion on whether (or not) distance learning institutions should pursue the dream of an integrated, personalised, and evidence-based learning analytics system that clearly communicates useful feedback to staff and students, or whether this will become an Orwellian nightmare.  相似文献   

9.
ABSTRACT

Traditional lecture theatre environments present significant challenges in higher education, in light of increasingly large and diverse student populations. This small-scale study explores how blended learning through the game-based platform Kahoot! can be used to enhance the learning experience offered to students in these spaces, from the perspective of 44 final-year primary education undergraduates. An action research approach was employed with data collected from pre- and post-lecture surveys. Findings suggest that the integration of synchronous online learning in lecture theatres presented no technical difficulties and that gaming was successful in enabling active participation and interactive learning. Students valued its competitive nature, the immediacy of feedback on their knowledge and structured opportunities for further discussion. Students reported improvements in engagement, concentration and retention, although results for the latter were more ambiguous and would benefit from further investigation.  相似文献   

10.
ABSTRACT

The purpose of this mixed methods study was to investigate the relationship between participation in Extended Opportunity Programs and Services (EOPS) at California Valley College (CVC) (one of the 113 California Community Colleges in California) and several measures of student learning. An embedded survey design was developed using William Sedlacek’s noncognitive questionnaire (NCQ), items from the Community College Survey of Student Engagement (CCSSE), items based on Marcia Baxter Magolda’s epistemological reflection model of cognitive complexity, and items based on student learning outcomes for learning in EOPS. The survey had a 43.7% response rate. Students’ demographic characteristics, progress data, and grades were also collected. The survey concluded with four open-ended questions examining students’ perceptions about their learning. GPA (grade point average) as an outcome measure, and several NCQ scales were positively correlated with the Learning in EOPS Scale. Qualitative and mixed methods analyses extended statistical findings, highlighting the importance of positive outlook, positive self-concept, realistic self-appraisal, and support for learning. Finally, the study found that students’ academic and social involvement played a noteworthy role in students’ development, especially as related to cognitive complexity and learning in EOPS.  相似文献   

11.
Research into the effects of large classes demonstrates that students are disadvantaged in terms of higher order learning because interactions between teachers and students occur at lower cognitive levels. This has significance for social work education, with its emphasis on the development of critical thinking and problem solving, both higher order cognitive skills. This paper reports on quantitative and qualitative research that explored social work students’ perceptions of different teaching and learning strategies in a large mental health course designed with reference to principles of student‐centred learning and constructive alignment. Findings revealed that well‐integrated design, relevance to the real world and teacher enthusiasm were seen as most useful by students, rather than particular learning strategies per se. Higher satisfaction ratings and grades were also associated with this student‐centred course compared with an earlier traditional lecture‐style course. The paper concludes that design based on the interplay between diverse learning activities, including lecture input, strengthened the student‐centred orientation of learning and recommends further research that compares learning outcomes associated with these contrasting approaches to professional education.  相似文献   

12.
We are still designing educational experiences for the average student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the potential to contribute to more equitable and socially just educational outcomes for students who might otherwise be seen through the lens of the average student. Utilizing big data, good design, and the input of the stakeholders, learning analytics techniques aim to develop applications for the sole purpose of reducing the classroom size to 1. Over time, these digital innovations will enable us to do away with a model of education that teaches toward the non-existent average student, replacing it with one that is more socially just—one that addresses the individual needs of every student.  相似文献   

13.
Private for-profit higher education has grown rapidly in many parts of the world. This growth is attributed to many factors, including a broadening of the student population and the recognition that wider access to higher education will be economically beneficial to individuals, governments and society as a whole. In Australia, the number of students in private for-profit higher education is rising, with dramatic projections for the next 10 years. The Australian government has set a target to increase the participation of students in higher education, with a focus on increasing the access and success of students from disadvantaged backgrounds. It is unclear, however, what role the burgeoning private for-profit institutions will play in meeting the government's targets, and what incentives will be provided for them to increase the access and participation of students from disadvantaged groups. This paper analyses the key drivers of growth in private for-profit higher education in Australia, and discusses issues around quality and standards. It examines the strengths and limitations of the sector, and the extent to which it contributes to diversity, access and the participation of students from disadvantaged backgrounds. It argues that the sector needs clear government directions to improve levels of access, and new government policies to encourage public-private collaborations to help ensure sustainability. The paper also briefly touches on the need for a review into the current structure of Australia's higher education sector as a whole, and whether higher education would benefit from the formation of public community colleges with the explicit aim of widening access for disadvantaged student groups. Further, the paper suggests that encouraging such public-private collaboration may be beneficial to ensure access and participation of students from all walks of life, including disadvantaged groups.  相似文献   

14.
ABSTRACT

Online discussions are widely viewed as a valuable tool for encouraging student engagement and promoting interaction with course material outside of the traditional classroom. Strategies for conducting online discussions vary and are not confined to traditional, university-sponsored learning management systems (LMS). Social media platforms such as Facebook, which provide a variety of social benefits to students, might also represent a viable mechanism for educational information exchange and learning. Our study tested this proposition by comparing the effects of a Facebook-based and LMS-based online discussion forum on students' participation, achievement of learning goals, and overall course performance. Our findings suggest that different forums can affect classroom dynamics and student learning in different ways. While Facebook may be better at fostering student participation and encouraging peer-to-peer dialogue, the university-sponsored LMS may be a more effective tool for encouraging students to develop coherent arguments and apply course content in other contexts. Since this study shows that platform of an online discussion assignment matters, college instructors should consider the benefits and drawbacks of each platform before developing an online discussion assignment. Instructor choice of platform should depend on course content, instructor's teaching preferences, and online discussion assignment goals.  相似文献   

15.
Abstract

Although it is frequently claimed that learning analytics can improve self-evaluation and self-regulated learning by students, most learning analytics tools appear to have been developed as a response to existing data rather than with a clear pedagogical model. As a result there is little evidence of impact on learning. Even fewer learning analytics tools seem to be informed by an understanding of the social context and social practices within which they would be used. As a result, there is very little evidence that learning analytics tools are actually impacting on practice. This paper draws on research in self-regulated learning and in the social practices of learning and assessment to clarify a series of design issues which should be considered by those seeking to develop learning analytics tools which are intended to improve student self-evaluation and self-regulation. It presents a case study of how these design issues influenced the development of a particular tool: the Learning Companion.  相似文献   

16.
学习分析自从2011年出现以来,不管是作为一个研究重点还是实践领域,它一直在发展,从某种程度上讲已经成熟了。学习分析不但在增进我们对学生坚持学习和顺利完成学业的了解以及提高我们教学策略的效果等方面有巨大潜能,它还能帮助学生在更加知情的情况下做出选择。然而,学习分析在多大程度上影响学生学习?它在什么条件下能够充分发挥其潜能?这些问题引起一些关注。我们在这篇概念性文章中提出从生态系统观的角度理解学习分析,或是把它视为某一个生态系统的一部分,或是把它当成一个生态系统,这个系统由各种人为和非人为因素(行动者)组成,包含一系列相互交叉、常常互相依存且又是彼此一部分的变量。鉴于学习分析有提高学习效果的潜能,我们基于学习的社会批判视角提出学习分析的生态系统观。我们从机构和机构以外社会层面的微观、中观和宏观因素出发对学习分析进行阐述。学习分析的生态系统观不认为学生对自己的学习可以免责,而是更加细致入微地了解促成(或妨碍)学习发生的因素(行动者)。  相似文献   

17.
This mixed-method study focuses on online learning analytics, a research area of importance. Several important student attributes and their online activities are examined to identify what seems to work best to predict higher grades. The purpose is to explore the relationships between student grade and key learning engagement factors using a large sample from an online undergraduate business course at an accredited American university (n = 228). Recent studies have discounted the ability to predict student learning outcomes from big data analytics but a few significant indicators have been found by some researchers. Current studies tend to use quantitative factors in learning analytics to forecast outcomes. This study extends that work by testing the common quantitative predictors of learning outcome, but qualitative data is also examined to triangulate the evidence. Pre and post testing of information technology understanding is done at the beginning of the course. First quantitative data is collected, and depending on the hypothesis test results, qualitative data is collected and analyzed with text analytics to uncover patterns. Moodle engagement analytics indicators are tested as predictors in the model. Data is also taken from the Moodle system logs. Qualitative data is collected from student reflection essays. The result was a significant General Linear Model with four online interaction predictors that captured 77.5 % of grade variance in an undergraduate business course.  相似文献   

18.
This paper explores some of the unresolved tensions in higher education systems and the contradiction between widening participation and the consolidation of social position. It shows how concepts of capital derived from Bourdieu, Coleman and Putnam provide a powerful basis for critique, but risk a deficit view of students from less privileged backgrounds. These students are more likely to attend lower‐status institutions and engage with an externally focused curriculum. The paper argues for greater attention to agency, and community and familial capital, in conceptualising the resilience of those from less privileged backgrounds. While the recognition of ‘voice’ is important, a curriculum that acknowledges the context independence of knowledge is essential if these students are not to be further disadvantaged.  相似文献   

19.
ABSTRACT

This paper examines the processes of regulation of student learning that are associated with formative assessment in the classroom. It discusses the concept of co-regulation and presents a model of co-regulation developed in a situated perspective on classroom learning. This model conceptualises co-regulated learning as resulting from the joint influence of student self-regulation and of sources of regulation in the learning environment: namely, the structure of the teaching/learning situation, the teacher’s interventions and interactions with students, the interactions between students, and the tools used for instruction and for assessment. Examples of research showing how co-regulation functions are discussed, in particular students’ use of tools for self-assessment and peer assessment, and the role of teacher–student interactions that encourage active student participation in formative assessment.  相似文献   

20.
陈中润 《成人教育》2022,42(1):87-93
Tinto学生成功条件模型为研究美国大学促进学生成功的实践提供了理论框架。基于学生成功条件模型,美国社区大学针对非传统学生面临的身份意识、学习能力、经济状况、融入校园等主要挑战,采取了帮助学生建立正确期望、提供关键支持、开展评价反馈、促进校园参与等措施,可以通过期望、支持、评价、参与四个维度对其进行比较深入的考察。美国社区大学构建非传统学生成功条件的做法,对我国高等职业教育做好非传统学生工作具有一定的启示意义。  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号