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1.
Mobile and Ubiquitous Learning (m/u-learning) are finding an increasing adoption in education. They are often distinguished by hybrid learning environments that encompass elements of formal and informal learning, in activities that happen in distributed settings (indoors and outdoors), across physical and virtual spaces. Despite their purported benefits, these environments imply additional complexity in the design, monitoring and evaluation of learning activities. The research literature on learning design (LD) and learning analytics (LA) has started to deal with these issues. This paper presents a systematic literature review of LD and LA, in m/u-learning. Apart from providing an overview of the current research in the field, this review elicits elements of common ground between both communities, as shown by the similar learning contexts and complementary research contributions, and based on the research gaps, proposes to: address m/u-learning beyond higher education settings, reinforce the connection between physical and virtual learning spaces, and more systematically align LD and LA processes.  相似文献   

2.
This case study examines the design and facilitation of a Massive Open Online Course (MOOC) that focused on attitudinal learning about the topic of animal behaviour and welfare. Findings showed that a team of instructors worked together collaboratively towards realising learning goals and found the experience rewarding. While learners had mixed perceptions of gains in cognitive, affective and behavioural learning, they reported high satisfaction with lecture videos and instructor course participation. Implications for the instructional design of MOOCs and attitudinal learning are discussed based on these findings, including a discussion of MOOCs as a unique platform for attitudinal learning, and recommendations for their successful use. The recommendations include the importance of creating a collaborative instructor team, establishing high instructor presence, using interactive and collaborative learning activities, and receiving support from platform providers and institutions.  相似文献   

3.

Learning analytics (LA) collects, analyses, and reports big data about learners to optimise learning. LA ethics is an interdisciplinary field of study that addresses moral, legal, and social issues; therefore, institutions are responsible for implementing frameworks that integrate these topics. Many of the ethical issues raised apply equally to educational data sets of any size. However, in this study, we focus on big data that increases the scale and granularity of data gathered. The purpose of this study is twofold: (a) to critically review the published (2011–2018) scientific literature on LA ethics issues and (b) to identify current trends and answer research questions in the field. This study’s research questions are as follows: what is essential in LA ethics for key educational stakeholders, and what should a proposed checklist for LA ethics include for specific educational stakeholders? After systematically searching online bibliographic databases, journals, and conferences, a literature review identified 53 articles from a sample of 562. The selected articles, based on critical and qualitative content analysis, were exhaustively analysed. The findings demonstrate the shortage of empirical evidence-based guidelines on LA ethics and highlight the need to establish codes of practices to monitor and evaluate LA ethics policies. Finally, this work proposes a useful checklist as an instructional design model for scholars, policymakers, and instructional designers, so that trusted partners may use LA responsibly to improve teaching and learning.

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4.
A major assumption of problem-based learning (PBL) is that learning issues, generated by students while discussing a problem, are used as guides for self-directed learning activities. This assumption, though basic to PBL, has never been tested. At the University of Limburg, the Netherlands, two procedures have been developed that reflect the extent to which students are able to identify important learning issues given a particular problem, and whether subsequent, independent, learning corresponds with these learning issues. The focus of the present article will be on the relationship between the two. We have explored to what extent student-generated learning issues are a major factor influencing the nature of students' self-study, or whether other factors may be involved in decisions on what to study and how much time to spend on topics selected. First, the production of learning issues was studied and represented as the percentage of overlap between learning issues raised by students and pre-set faculty objectives for each problem. The second procedure consisted of the administration of a Topic Checklist (TOC) which purports to measure students' actual self-directed learning activities. The TOC consists of a list of topics specifying the intended course content. Students were asked to indicate on a five-point Likert scale how much time they had spent studying each topic and to what degree they had mastered that topic. Third, learning issues and TOC topics were compared directly in a qualitative sense. Comparisons between the procedures revealed that a low proportion of variance of TOC scores could be predicted from the percentage of faculty objectives identified for each problem and the direct match between learning issues and TOC scores. It is concluded that scrutinizing student-generated learning issues and topics covered during self-study may provide information about what content is covered by students in tutorial groups. The discrepancy between the results of the measurements suggests, however, that learning issues produced during group discussion are not the sole source on which students base self-study decisions. Several other factors may be involved, such as tutor guidance, content already covered in previous units, issues raised during sessions with resource persons, and the nature of the learning resources available. Therefore, the relationship between learning issues and content covered during self-study is not as straightforward as is suggested.  相似文献   

5.
With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention has been paid to fairness in LA. Furthermore, the decision on which unfairness mitigation algorithm or metric to use in a particular context remains largely unknown. On this premise, we performed a comparative evaluation of some selected unfairness mitigation algorithms regarded in the fair ML community to have shown promising results. Using a 3-year program dropout data from an Australian university, we comparatively evaluated how the unfairness mitigation algorithms contribute to ethical LA by testing for some hypotheses across fairness and performance metrics. Interestingly, our results show how data bias does not always necessarily result in predictive bias. Perhaps not surprisingly, our test for fairness-utility tradeoff shows how ensuring fairness does not always lead to drop in utility. Indeed, our results show that ensuring fairness might lead to enhanced utility under specific circumstances. Our findings may to some extent, guide fairness algorithm and metric selection for a given context.

Practitioner notes

What is already known about this topic
  • LA is increasingly being used to leverage actionable insights about students and drive student success.
  • LA models have been found to make discriminatory decisions against certain student demographic subgroups—therefore, raising ethical concerns.
  • Fairness in education is nascent. Only a few works have examined fairness in LA and consequently followed up with ensuring fair LA models.
What this paper adds
  • A juxtaposition of unfairness mitigation algorithms across the entire LA pipeline showing how they compare and how each of them contributes to fair LA.
  • Ensuring ethical LA does not always lead to a dip in performance. Sometimes, it actually improves performance as well.
  • Fairness in LA has only focused on some form of outcome equality, however equality of outcome may be possible only when the playing field is levelled.
Implications for practice and/or policy
  • Based on desired notion of fairness and which segment of the LA pipeline is accessible, a fairness-minded decision maker may be able to decide which algorithm to use in order to achieve their ethical goals.
  • LA practitioners can carefully aim for more ethical LA models without trading significant utility by selecting algorithms that find the right balance between the two objectives.
  • Fairness enhancing technologies should be cautiously used as guides—not final decision makers. Human domain experts must be kept in the loop to handle the dynamics of transcending fair LA beyond equality to equitable LA.
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6.
In this study we examined the effectiveness of self-regulated learning (SRL) and externally regulated learning (ERL) on college students’ learning about a science topic with hypermedia during a 40-min session. A total of 82 college students with little knowledge of the topic were randomly assigned either to the SRL or ERL condition. Students in the SRL condition regulated their own learning, while students in the ERL condition had access to a human tutor who facilitated their self-regulated learning. We converged product (pretest–posttest declarative knowledge and qualitative shifts in participants’ mental models) with process (think-aloud) data to examine the effectiveness of SRL versus ERL. Analysis of the declarative knowledge measures showed that the ERL condition group mean was statistically significantly higher than the group mean for the SRL condition on the labeling and flow diagram tasks. There were no statistically significant differences between groups on the matching task, but both groups showed statistically significant increases in performance. Further analyses showed that the odds of being in a higher mental model posttest group were decreased by 65% for the SRL group as compared to the ERL group. In terms of SRL behavior, participants in the SRL condition engaged in more use of selecting new information sources, re-reading, summarizing, free searching, and enacting control over the context of their learning. In comparison, the ERL participants engaged in more activation of prior knowledge, utilization of feeling of knowing and judgment of learning, monitoring their progress toward goals, drawing, hypothesizing, coordination of information sources, and expressing task difficulty. An earlier version of this paper was presented at the international conference of Artificial Intelligence in Education (AI-Ed 2007), Los Angeles, LA (July, 2007).  相似文献   

7.
Understanding students' privacy concerns is an essential first step toward effective privacy-enhancing practices in learning analytics (LA). In this study, we develop and validate a model to explore the students' privacy concerns (SPICE) regarding LA practice in higher education. The SPICE model considers privacy concerns as a central construct between two antecedents—perceived privacy risk and perceived privacy control, and two outcomes—trusting beliefs and non-self-disclosure behaviours. To validate the model, data through an online survey were collected, and 132 students from three Swedish universities participated in the study. Partial least square results show that the model accounts for high variance in privacy concerns, trusting beliefs, and non-self-disclosure behaviours. They also illustrate that students' perceived privacy risk is a firm predictor of their privacy concerns. The students' privacy concerns and perceived privacy risk were found to affect their non-self-disclosure behaviours. Finally, the results show that the students' perceptions of privacy control and privacy risks determine their trusting beliefs. The study results contribute to understand the relationships between students' privacy concerns, trust and non-self-disclosure behaviours in the LA context. A set of relevant implications for LA systems' design and privacy-enhancing practices' development in higher education is offered.

Practitioner notes

What is already known about this topic
  • Addressing students' privacy is critical for large-scale learning analytics (LA) implementation.
  • Understanding students' privacy concerns is an essential first step to developing effective privacy-enhancing practices in LA.
  • Several conceptual, not empirically validated frameworks focus on ethics and privacy in LA.
What this paper adds
  • The paper offers a validated model to explore the nature of students' privacy concerns in LA in higher education.
  • It provides an enhanced theoretical understanding of the relationship between privacy concerns, trust and self-disclosure behaviour in the LA context of higher education.
  • It offers a set of relevant implications for LA researchers and practitioners.
Implications for practice and/or policy
  • Students' perceptions of privacy risks and privacy control are antecedents of students' privacy concerns, trust in the higher education institution and the willingness to share personal information.
  • Enhancing students' perceptions of privacy control and reducing perceptions of privacy risks are essential for LA adoption and success.
  • Contextual factors that may influence students' privacy concerns should be considered.
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8.
This study presents the outcomes of a semi-systematic literature review on the role of learning theory in multimodal learning analytics (MMLA) research. Based on previous systematic literature reviews in MMLA and an additional new search, 35 MMLA works were identified that use theory. The results show that MMLA studies do not always discuss their findings within an established theoretical framework. Most of the theory-driven MMLA studies are positioned in the cognitive and affective domains, and the three most frequently used theories are embodied cognition, cognitive load theory and control–value theory of achievement emotions. Often, the theories are only used to inform the study design, but there is a relationship between the most frequently used theories and the data modalities used to operationalize those theories. Although studies such as these are rare, the findings indicate that MMLA affordances can, indeed, lead to theoretical contributions to learning sciences. In this work, we discuss methods of accelerating theory-driven MMLA research and how this acceleration can extend or even create new theoretical knowledge.

Practitioner notes

What is already known about this topic
  • Multimodal learning analytics (MMLA) is an emerging field of research with inherent connections to advanced computational analyses of social phenomena.
  • MMLA can help us monitor learning activity at the micro-level and model cognitive, affective and social factors associated with learning using data from both physical and digital spaces.
  • MMLA provide new opportunities to support students' learning.
What this paper adds
  • Some MMLA works use theory, but, overall, the role of theory is currently limited.
  • The three theories dominating MMLA research are embodied cognition, control–value theory of achievement emotions and cognitive load theory.
  • Most of the theory-driven MMLA papers use theory ‘as is’ and do not consider the analytical and synthetic role of theory or aim to contribute to it.
Implications for practice and/or policy
  • If the ultimate goal of MMLA, and AI in Education in general, research is to understand and support human learning, these studies should be expected to align their findings (or not) with established relevant theories.
  • MMLA research is mature enough to contribute to learning theory, and more research should aim to do so.
  • MMLA researchers and practitioners, including technology designers, developers, educators and policy-makers, can use this review as an overview of the current state of theory-driven MMLA.
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9.
This paper considers distance learning at all levels, learning that can occur anywhere. Most education today in schools, universities, and companies is dependent on students being at a particular location, such as a university. The major distance learning institutions today are in Europe, but the potential for this type of learning is great as we reach out to serve greater numbers of students. The following factors are critical in forming a distance learning institute today: the quality of learning provided to each student; whether courses work for very large numbers of students; and the cost per student hour, for both development and delivery. Many delivery technologies are possible today. We examine them from the standpoint of these factors. The conclusion is that highly interactive multimedia learning units, either CD ROMs or (in the near future) broadband networks, provide the best delivery system today for distance learning. The paper concludes with a brief review of strategies for developing the curriculum units needed to support distance learning.  相似文献   

10.
We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N?=?354,203). The constructs had the same meaning (factor loadings) but different scales (intercepts). Our conclusion is that comparisons of the relationships between educational achievement and learning attitudes across countries need to take into consideration two sources of variability: individual differences of students and group differences of educational systems. The lack of scalar invariance in EA and LA measures means that the relationships between EA and LA may have a different meaning at the level of nations and at the student level within countries. In other words, as PISA measures are not invariant in scalar sense, the comparisons across countries with nationally aggregated scores are not justified.  相似文献   

11.
In this literature review, we examine and assess the state of research of online and blended learning in the business disciplines with the intent of assessing the state of the field and identifying opportunities for meaningful future research. We review research from business disciplines such as Accounting, Economics, Finance, Information Systems (IS), Management, Marketing, and Operations/Supply Chain Management. We found that the volume and quality of research in online and blended business education has increased dramatically during the past decade. However, the rate of progress is somewhat uneven across disciplines. IS, Management, and multi-disciplinary studies have the highest volumes of research activity, with markedly less activity in Finance and Economics. Furthermore, scholars of online and blended business education predominantly publish in learning and education journals of the business disciplines rather than also publishing in journals that focus on technology-mediated learning, thereby missing an opportunity to inform scholars in other disciplines about their work. The most common research streams across disciplines were outcome comparison studies with classroom-based learning and studies examining potential predictors of course outcomes. Results from the comparison studies suggest generally that online courses are at least comparable to classroom-based courses in achieving desired learning outcomes, while there is divergence in findings of comparisons of other course aspects. Collectively, the range of untested conceptual frameworks, the lack of discipline-specific theories, and the relative absence of a critical mass of researchers focused on the topic suggest ample opportunities for business scholars seeking to enter this research community.  相似文献   

12.
Recent studies on active learning classrooms (ACLs) have demonstrated their positive influence on student learning. However, most of the research evidence is derived from a few subject-specific courses or limited student enrolment. Empirical studies on this topic involving large student populations are rare. The present work involved a large-scale two-year study that examined the effects of ACL on student perceptions of their learning experience and the relationship with academic performance in a General Education programme. An institutional survey was used to gather more than 35,000 units of student perception data from all 306 courses in the programme. Our empirical findings show that students thought courses that adopted an ACL as the key learning environment were significantly better designed and more encouraging of student creativity and innovation than courses which used regular classrooms; thus, student perceptions were improved. We are also the first to report that this positive effect on creativity and innovation is statistically unaffected by academic performance, with high, middle and low achievers all benefiting from the use of the facility. The results suggest that ACLs are better environments for nurturing innovation for all students, regardless of their academic ability.  相似文献   

13.
The article presents a thematic review of the recent research on workplace learning. It is divided into two main sections. The first section asks what we know about learning at work, and states four propositions: (1) the nature of workplace learning is both different from and similar to school learning; (2) learning in the workplace can be described at different levels, ranging from the individual to the network and region; (3) workplace learning is both informal and formal; and (4) workplaces differ a lot in how they support learning. The second section focuses on workplace learning that is related to formal education. Different models of organising work experience for students and the challenges of creating partnerships between education and working life are described. It is concluded that the worlds of education and work are moving closer each other and that the integration of formal and informal learning is an essential prerequisite for developing the kinds of expertise needed in response to the changes taking place in working life.  相似文献   

14.
ABSTRACT

Until recently, the classroom assessment literature has emphasized the role of teachers and tests, for example investigating teachers’ assessment practices or the quality of classroom tests and other assessments. In contrast, current understandings of teaching and learning emphasize the role of students, as well as the complex interactions between teachers, students, and contexts. We use the literature review method to give substance to a theory of classroom assessment as the co-regulation of learning by teachers, students, instructional materials, and contexts. We organize the literature using a version of Pintrich and Zusho’s theory of the phases and areas of the self-regulation of learning, expanded to include the co-regulation of learning, in order to demonstrate how classroom assessment is related to all aspects of the regulation of learning. We conclude that this is a useful expansion for the field.  相似文献   

15.
Learning analytics (LA) offers new opportunities to enrich feedback practices in higher education, but little is understood about the ways different LA can enhance feedback practices for educators and students. This systematic literature review maps the current state of implementation of LA to improve feedback practices in technology-mediated learning environments in higher education. We used strict inclusion criteria to select relevant studies that have investigated the role of LA on feedback practices. To identify common features of LA for feedback studies, we coded relevant publications using an analytical framework that identifies four key dimensions of LA systems: what (types of data), how (analytic methods), why (objectives), and how educators and students are served by LA (stakeholders). Based on findings, we propose a conceptual framework that can guide the implementation of LA for feedback systems and also suggest future empirical research in this area.  相似文献   

16.
This study analyses the potential of a learning analytics (LA) based formative assessment to construct personalised teaching sequences in Mathematics for 5th-grade primary school students. A total of 127 students from Spanish public schools participated in the study. The quasi-experimental study was conducted over the course of six sessions, in which both control and experimental groups participated in a teaching sequence based on mathematical problems. In each session, both groups used audience response systems to record their responses to mathematical tasks about fractions. After each session, students from the control group were given generic homework on fractions—the same activities for all the participants—while students from the experimental group were given a personalised set of activities. The provision of personalised homework was based on the students' errors detected from the use of the LA-based formative assessment. After the intervention, the results indicate a higher student level of understanding of the concept of fractions in the experimental group compared to the control group. Related to motivational dimensions, results indicated that instruction using audience response systems has a positive effect compared to regular mathematics classes.

Practitioner notes

What is already known about this topic
  • Developing an understanding of fractions is one of the most challenging concepts in elementary mathematics and a solid predictor of future achievements in mathematics.
  • Learning analytics (LA) has the potential to provide quality, functional data for assessing and supporting learners' difficulties.
  • Audience response systems (ARS) are one of the most practical ways to collect data for LA in classroom environments.
  • There is a scarcity of field research implementations on LA mediated by ARS in real contexts of elementary school classrooms.
What this paper adds
  • Empirical evidence about how LA-based formative assessments can enable personalised homework to support student understanding of fractions.
  • Personalised homework based on an LA-based formative assessment improves the students' comprehension of fractions.
  • Using ARS for the teaching of fractions has a positive effect in terms of student motivation.
Implications for practice and/or policy
  • Teachers should be given LA/ARS tools that allow them to quickly provide students with personalised mathematical instruction.
  • Researchers should continue exploring these potentially beneficial educational implementations in other areas.
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17.
Abstract

The use of flipped classrooms, blended learning environments and the application of technology has been extensively studied and reported in the literature, but the impact of learning activity design on cultivating better learning attitudes has rarely been explored. A rapid adoption of ‘e-schoolbag’ in basic education in China has been observed in recent years. Its impact on academic performance varies from different ways of e-schoolbag adoption. We conducted a two-year longitudinal study to review the relationship between learning behaviours and academic performance in a primary school with a blended learning environment, and investigated how interventions through learning activity redesign could improve the academic performance by cultivating better learning attitudes. The results show that learning attitudes are positively related to academic performance with proper learning activity design. It is therefore suggested that teachers’ interventions through learning activity redesign can cultivate better learning attitudes and thus improve academic performance for learners.  相似文献   

18.
This study (N = 427) examined perceived attitudinal learning gains (i.e., cognitive, affective, and behavioral learning) related to the course topic by comparing a self-paced version of a Massive Open Online Courses (MOOC) with a fixed-scheduled version. Independent samples t-tests revealed that those in a self-paced classroom were more likely to perceive higher levels of attitudinal learning gains and satisfaction than those in a fixed-scheduled MOOC. Those enrolling in the self-paced course also identified significantly more diverse reasons for enrolling. Learners in both courses identified course videos as the most impactful instructional component. Implications for the design of self-paced MOOCs are discussed.  相似文献   

19.
This article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in Whyville, an online game environment with 8 million registered young learners. The learning objectives of two games included awareness and knowledge of NASA missions, developing knowledge and skills of measurement and scaling, applying measurement for planetary comparisons in the solar system. Trace data from 1361 interactions were analysed with nonparametric multidimensional scaling methods, which permitted visual examination and statistical validation, and provided an example and proof of concept for the multidimensional scaling approach to analysis of time-based behavioural data from a game or simulation. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth. The theoretical framework of the method and analysis makes use of the Epistemic Network Analysis toolkit as a post hoc data exploration platform, and the discussion centres on issues of semantic interpretation of interaction end-states and the application of evidence centred design in post hoc analysis.

Practitioner notes

What is already known about this topic
  • Educational game play has been demonstrated to positively affect learning performance and learning persistence.
  • Trace-based assessment from digital learning environments can focus on learning outcomes and processes drawn from user behaviour and contextual data.
  • Existing approaches used in learning analytics do not (fully) meet criteria commonly used in psychometrics or for different forms of validity in assessment, even though some consider learning analytics a form of assessment in the broadest sense.
  • Frameworks of knowledge representation in trace-based research often include concepts from cognitive psychology, education and cognitive science.
What this paper adds
  • To assess skills-in-action, stronger connections of learning analytics with educational measurement can include parametric and nonparametric statistics integrated with theory-driven modelling and semantic network analysis approaches widening the basis for inferences, validity, meaning and understanding from digital traces.
  • An expanded methodological foundation is offered for analysis in which nonparametric multidimensional scaling, multimodal analysis, epistemic network analysis and evidence-centred design are combined.
Implications for practice and policy
  • The new foundations are suggested as a principled, theory-driven, embedded data collection and analysis framework that provides structure for reverse engineering of semantics as well as pre-planning frameworks that support creative freedom in the processes of creation of digital learning environments.
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20.
Abstract

Adaptation to climate change has become an imperative intricately linked to human existence and the planet’s wellbeing: if learning is not part of the adaptation process, it is doubtful the adaptation will be sustainable. In Zimbabwe, one initiative for promoting learning for adaptation is the establishment of the Eco-Schools Clubs (ESC), a concept based on the possibilities of intergenerational learning developed and widely adopted in the Global North. Based on an ethnographic study in a community struggling with food insecurity arising from unpredictable rainfall, this paper examines the context-dependency of ESCs’ affordances for intergenerational climate change learning. The study found that in contrast to reports from the Global North, the children in this study were not able to exercise agency to effect change in their families and communities. Using the analytical resources of Cultural-Historical Activity Theory, the study analyses the challenges of appropriating a model of learning from afar.  相似文献   

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