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Herodotou Christothea Rienties Bart Boroowa Avinash Zdrahal Zdenek Hlosta Martin 《Educational technology research and development : ETR & D》2019,67(5):1273-1306
By collecting longitudinal learner and learning data from a range of resources, predictive learning analytics (PLA) are used to identify learners who may not complete a course, typically described as being at risk. Mixed effects are observed as to how teachers perceive, use, and interpret PLA data, necessitating further research in this direction. The aim of this study is to evaluate whether providing teachers in a distance learning higher education institution with PLA data predicts students’ performance and empowers teachers to identify and assist students at risk. Using principles of Technology Acceptance and Academic Resistance models, a university-wide, multi-methods study with 59 teachers, nine courses, and 1325 students revealed that teachers can positively affect students’ performance when engaged with PLA. Follow-up semi-structured interviews illuminated teachers’ actual uses of the predictive data and revealed its impact on teaching practices and intervention strategies to support students at risk.
相似文献2.
Randomised control trials (RCTs) are an evidence-based research approach which has not yet been adopted and widely used in open and distance education to inform educational policy and practice. Despite the challenges entailed in their application, RCTs hold the power to robustly evaluate the effects of educational interventions in distance learning and conclude on whether (or not) these interventions should be adopted and used extensively. The aim of this paper is to spark discussions around the use of RCTs in distance learning by illustrating their benefits and drawbacks including challenges in adopting RCTs in education. To achieve this aim, a RCT was implemented to examine whether a small-scale intervention in four language modules could improve attendance at an end-of-module speaking assessment, and in consequence, performance, completion and pass rates. Results raise the need for further research in order to identify what type of interventions should be designed and put into practice to elicit a positive impact on learners. The paper concludes with a discussion on why RCTs should be brought to the forefront as a viable method for the effective evaluation of the impact of open learning analytic interventions. 相似文献
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ABSTRACTThe 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
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Laura A. Outhwaite Erin Early Christothea Herodotou Jo Van Herwegen 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(5):1292-1313
Educational applications (apps) are ubiquitous within children's learning environments and emerging evidence has demonstrated their efficacy. However, it remains unclear what the active ingredients (ie, mechanisms), or combination of ingredients, of successful maths apps are. The current study developed a new, open-access, three-step framework for assessing the educational value of maths apps, comprised of type of app, mathematical content and app design features. When applied to a selection of available maths apps previously evaluated with children in the first 3 years of school (the final sample included 23 apps), results showed that practice-based apps were the most common app type tested (n = 15). Basic number skills, such as number representation and relationships, were the most common area of mathematics targeted by apps (n = 21). A follow-up qualitative comparative analysis showed observed learning outcomes with maths apps were enhanced when apps combined the following: a scaffolded and personalised learning journey (programmatic levelling) and explanations of why answers were right or wrong (explanatory feedback), as well as praise, such as ‘Great job!’ (motivational feedback). This novel evidence stresses the significance of feedback and levelling design features that teaching practitioners and other stakeholders should consider when deciding which apps to use with young children. Directions for future research are discussed.
Practitioner notes
What is already known about this topic- Educational apps have been shown to support maths attainment in the first 3 years of school.
- Several existing frameworks have attempted to assess the educational value of some of these maths apps.
- Emerging experimental evidence also demonstrates the benefits of specific app design features, including feedback and levelling.
- Practice-based maths apps are the most common type of app previously evaluated with young children.
- These evaluated maths apps have mostly focused on basic number skills.
- The combination of explanatory and motivational feedback, with programmatic levelling (either dynamic or static), was a necessary condition for enhancing learning outcomes with maths apps.
- The inclusion of feedback and levelling in maths apps should be considered by app developers when designing apps, and by educational practitioners and parents when deciding which apps to use with their children.
- Further consideration is also needed for the development of educational apps that include a broad range of maths skills.
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