scholarly journals Learning Analytics for Primary and Secondary Schools

2021 ◽  
Vol 8 (2) ◽  
pp. 1-5
Author(s):  
Vitomir Kovanovic ◽  
Claudia Mazziotti ◽  
Jason Lodge
Keyword(s):  
Learning Analytics ◽  
Tertiary Education ◽  
Special Section ◽  
School Context ◽  
School Settings ◽  
Opportunities For Learning ◽  
Challenges And Opportunities ◽  
Improving Student Learning ◽  
Data Driven Decisions ◽  
Future Work

Over the past decade, the increasing use of learning analytics opened the possibility of making data-driven decisions for improving student learning. Driven by the strong university adoption of learning analytics, most early learning analytics research focused on issues specific to tertiary education. With the broader adoption of educational technologies in primary and secondary education and the emergence of new classroom-focused technologies, there has been a growing awareness of the potentials of learning analytics for supporting students and diagnosing their learning progress in pre-university contexts. This special section focused on investigating, developing, and evaluating state-of-the-art learning analytics approaches within primary and secondary school settings. In this editorial, we summarize the papers of the special section and discuss the challenges and opportunities for learning analytics within the school context. We conclude with the discussion around the opportunities for future work and the implications of this special section for the field of learning analytics.

scholarly journals Critical Issues in Designing and Implementing Temporal Analytics

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Bodong Chen ◽  
Simon Knight ◽  
Alyssa Friend Wise
Keyword(s):  
Learning Analytics ◽  
Special Section ◽  
Temporal Data ◽  
Data Types ◽  
Temporal Features ◽  
Critical Issues ◽  
Potential Impact ◽  
Future Work ◽  
Temporal Learning ◽  
Learning Data

The importance of temporality in learning has been long established, but it is only recently that serious attention has begun to be paid to the precise identification, measurement, and analysis of the temporal features of learning. From 2009 to 2016, a series of temporality workshops explored temporal concepts and data types, analysis methods for exploiting temporal data, techniques for visualizing temporal information, and practical considerations for the use of temporal analyses in particular contexts of learning. Following from these efforts, this two-part Special Section serves to consolidate research working to progress conceptual, technical and practical tools for temporal analyses of learning data. In addition, in this second and final editorial, we aim to make four contributions to the ongoing dialogue around temporal learning analytics to help us move towards a clearer mapping of the research space. First, the editorial presents an overview of the five papers in Part 2 of the Special Section on Temporal Analyses, highlighting the dimensions of data types, learning constructs, analysis approaches, and potential impact. Second, it draws on the fluid relationship between ‘analyzed time’ and ‘experienced time’ to highlight the need for caution and criticality in the purposes temporal analyses are mobilized to serve. Third, it offers a guide for future work in this area by outlining important questions that all temporal analyses should intentionally address. Finally, it proposes next steps learning analytics researchers and practitioners can take collectively to advance work on the use of temporal analyses to support learning

scholarly journals Serious Games and Mathematical Fluency: A Study from the Gender Perspective in Primary Education

2021 ◽  
Vol 13 (12) ◽  
pp. 6586
Author(s):  
Fernando Fraga-Varela ◽  
Esther Vila-Couñago ◽  
Ana Rodríguez-Groba
Keyword(s):  
Experimental Study ◽  
School Performance ◽  
Serious Games ◽  
Learning Processes ◽  
Control Group ◽  
School Settings ◽  
Opportunities For Learning ◽  
Quasi Experimental ◽  
Mathematical Fluency ◽  
Clear Relation

In recent years, serious games offer great opportunities for learning processes at schools. However, it is unclear whether this type of proposals can offer differentiated answers among the students according to their gender. In this context, the aim of this paper is to know the possible differences that occur in primary school classrooms according to gender, with serious games designed for the development of mathematical fluency, and to examine to what extent these games contribute to the overall school performance. We carried out a quasi-experimental study, including pretest and posttest, without control group and with several experimental groups, and the participation of 284 students from first to fourth grade. The results show that the software benefits boys and girls equally, compared to the previously followed methodology that benefited boys. A clear relation between the results achieved and the performance in the overall students’ grades has also been observed. The conclusions show the potential of serious games in school settings, and the opportunity to approach performance differences based on the gender.

scholarly journals The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE)

2020 ◽  
Vol 17 (2-3) ◽  
Author(s):  
Dagmar Waltemath ◽  
Martin Golebiewski ◽  
Michael L Blinov ◽  
Padraig Gleeson ◽  
Henning Hermjakob ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Data Model ◽  
Computational Models ◽  
Life Sciences ◽  
The Past ◽  
Challenges And Opportunities ◽  
Stakeholder Workshop ◽  
Software Engineers ◽  
Future Work ◽  
Modeling In Biology

AbstractThis paper presents a report on outcomes of the 10th Computational Modeling in Biology Network (COMBINE) meeting that was held in Heidelberg, Germany, in July of 2019. The annual event brings together researchers, biocurators and software engineers to present recent results and discuss future work in the area of standards for systems and synthetic biology. The COMBINE initiative coordinates the development of various community standards and formats for computational models in the life sciences. Over the past 10 years, COMBINE has brought together standard communities that have further developed and harmonized their standards for better interoperability of models and data. COMBINE 2019 was co-located with a stakeholder workshop of the European EU-STANDS4PM initiative that aims at harmonized data and model standardization for in silico models in the field of personalized medicine, as well as with the FAIRDOM PALs meeting to discuss findable, accessible, interoperable and reusable (FAIR) data sharing. This report briefly describes the work discussed in invited and contributed talks as well as during breakout sessions. It also highlights recent advancements in data, model, and annotation standardization efforts. Finally, this report concludes with some challenges and opportunities that this community will face during the next 10 years.

Challenges and Opportunities in Collaborative Vulnerability Research Workflows

2020 ◽  
Vol 64 (1) ◽  
pp. 420-424
Author(s):  
Ryan Mullins ◽  
Deirdre Kelliher ◽  
Ben Nargi ◽  
Mike Keeney ◽  
Nathan Schurr
Keyword(s):  
Human Performance ◽  
Collaborative Work ◽  
Research Process ◽  
Workflow Model ◽  
Human Vulnerability ◽  
Research Teams ◽  
Reasoning System ◽  
Challenges And Opportunities ◽  
New Research ◽  
Future Work

Recently, cyber reasoning systems demonstrated near-human performance characteristics when they autonomously identified, proved, and mitigated vulnerabilities in software during a competitive event. New research seeks to augment human vulnerability research teams with cyber reasoning system teammates in collaborative work environments. However, the literature lacks a concrete understanding of vulnerability research workflows and practices, limiting designers’, engineers’, and researchers’ ability to successfully integrate these artificially intelligent entities into teams. This paper contributes a general workflow model of the vulnerability research process, and identifies specific collaboration challenges and opportunities anchored in this model. Contributions were derived from a qualitative field study of work habits, behaviors, and practices of human vulnerability research teams. These contributions will inform future work in the vulnerability research domain by establishing an empirically-driven workflow model that can be adapted to specific organizational and functional constraints placed on individual and teams.

Navigating the tension between scale and school context in digital college guidance

2018 ◽  
Vol 16 (3) ◽  
pp. 303-310
Author(s):  
Zoe Corwin ◽  
Tattiya J. Maruco
Keyword(s):  
Low Income ◽  
First Generation ◽  
School Context ◽  
School Level ◽  
Digital Tools ◽  
Content Type ◽  
Equity Issues ◽  
Digital Equity ◽  
Digital Intervention ◽  
Challenges And Opportunities

Purpose The purpose of this paper is to highlight the potential of digital tools to address the significant challenge of increasing access to college and outline challenges and opportunities in effectively implementing a digital intervention across an entire school. Design/methodology/approach The study encompasses a randomized control trial and comparative case studies. This paper highlights qualitative data focused on implementation. Findings Findings illustrate impediments and strategies for implementing a school-wide digital intervention. Research limitations/implications Research focused on one particular intervention and is thus limited in scope. Practical implications The study has the potential to assist practitioners in better serving students from low-income and minoritized communities through digital tools. Social implications The study has implications for increasing the number of first-generation and minoritized youth who apply to and enroll in college. The study highlights digital equity issues often overlooked in ed-tech sectors. Originality/value Few studies exist that examine the implementation of digital interventions at the school level. Focusing on digital equity in the college access space (academic and practice) is novel.

scholarly journals IEEE Access Special Section Editorial: Research Challenges and Opportunities in Security and Privacy of Blockchain Technologies

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 72033-72036 ◽  
Author(s):  
Debiao He ◽  
Kim-Kwang Raymond Choo ◽  
Neeraj Kumar ◽  
Aniello Castiglione
Keyword(s):  
Special Section ◽  
Security And Privacy ◽  
Research Challenges ◽  
Challenges And Opportunities

Learning Analytics Tool for Bulgarian School Education

2021 ◽  
Vol LXIV (4) ◽  
pp. 410-424
Author(s):  
Silvia Gaftandzhieva ◽  
◽  
Rositsa Doneva ◽  
George Pashev ◽  
Mariya Docheva ◽  
...  
Keyword(s):  
Financial Management ◽  
Learning Analytics ◽  
School Education ◽  
Accounting Systems ◽  
Learning And Teaching ◽  
Digital Repositories ◽  
Stakeholder Groups ◽  
Data Driven Decisions ◽  
Learning Data

Nowadays, schools use many information systems to automate their activities for different stakeholders’ groups – learning management systems, student diary, library systems, digital repositories, financial management and accounting systems, document processing systems, etc. The huge amount of data generated by the users of these systems, led to increased interest in the collection and analysis of data to encourage students to achieve higher results, teachers to provide personalized support and school managers to make data-driven decisions at all levels of school, and stimulates research into the application of Learning Analytics (LA) in schools. The paper presents a LA model and a software prototype of the LA tool designed for the needs of Bulgarian school education from the perspective of different stakeholder groups (students, teachers, class teachers, parents, school managers, inspectors from evaluation agencies), aiming to improve school methods of approaching and analyzing learning data. The tool allows stakeholders to track data for students’ learning or training for different purposes, e.g. monitoring, analysis, forecast, intervention, recommendations, etc., but finally to improve the quality of learning and teaching processes. Research and experiments with the model and the LA tool under consideration are conducted based on the information infrastructure of a typical Bulgarian school.

Sign in / Sign up

Export Citation Format

Share Document