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The field of learning analytics has advanced from infancy stages into a more practical domain, where tangible solutions are being implemented. Nevertheless, the field has encountered numerous privacy and data protection issues that have garnered significant and growing attention. In this systematic review, four databases were searched concerning privacy and data protection issues of learning analytics. A final corpus of 47 papers published in top educational technology journals was selected after running an eligibility check. An analysis of the final corpus was carried out to answer the following three research questions: (1) What are the privacy and data protection issues in learning analytics? (2) What are the similarities and differences between the views of stakeholders from different backgrounds on privacy and data protection issues in learning analytics? (3) How have previous approaches attempted to address privacy and data protection issues? The results of the systematic review show that there are eight distinct, intertwined privacy and data protection issues that cut across the learning analytics cycle. There are both cross-regional similarities and three sets of differences in stakeholder perceptions towards privacy and data protection in learning analytics. With regard to previous attempts to approach privacy and data protection issues in learning analytics, there is a notable dearth of applied evidence, which impedes the assessment of their effectiveness. The findings of our paper suggest that privacy and data protection issues should not be relaxed at any point in the implementation of learning analytics, as these issues persist throughout the learning analytics development cycle. One key implication of this review suggests that solutions to privacy and data protection issues in learning analytics should be more evidence-based, thereby increasing the trustworthiness of learning analytics and its usefulness.

One way to achieve equitable design is to directly include users who will be impacted the most in the planning and facilitation of a project. Common financial, logistical, and/or temporal constraints reveal that direct inclusion of the people most impacted is not always possible. If this barrier arises, one promising alternative is the creation and use of personas. Using a vignette and case study qualitative methodological approach, three researchers at a large urban university in the Pacific Northwest detail personas and journey mapping as an equitable design practice during a LMS migration on a rapid development timeline. This paper details how personas were created using empirical data, how journey mapping impacted various teams, and how centering equity better prepared staff to support instructors throughout the migration while addressing the student learning impact.

In the digital era like today the growth of data in the database is very rapid, all things related to technology have a large contribution to data growth as well as social media, financial technology and scientific data. Therefore, topics such as big data and data mining are topics that are often discussed. Data mining is a method of extracting information through from big data to produce an information pattern or data anomaly

In using software to write a scientific, technical, or other scholarly document, authors have essentially two options. They can either write it in a 'what you see is what you get' (WYSIWYG) editor such as a word processor, or write it in a text editor using a markup language such as HTML, LATEX, Markdown, or AsciiDoc. This paper gives an overview of the latter approach, focusing on both the non-visual accessibility of the writing process, and that of the documents produced. Currently popular markup languages and established tools associated with them are introduced. Support for mathematical notation is considered. In addition, domain-specific programming languages for constructing various types of diagrams can be well integrated into the document production process. These languages offer interesting potential to facilitate the non-visual creation of graphical content, while raising insufficiently explored research questions. The flexibility with which documents written in current markup languages can be converted to different output formats is emphasized. These formats include HTML, EPUB, and PDF, as well as file formats used by contemporary word processors. Such conversion facilities can serve as means of enhancing the accessibility of a document both for the author (during the editing and proofreading process) and for those among the document's recipients who use assistive technologies, such as screen readers and screen magnifiers. Current developments associated with markup languages and the accessibility of scientific or technical documents are described. The paper concludes with general commentary, together with a summary of opportunities for further research and software development.

Abstrak Setiap orang berhak atas perlindungan diri pribadi, keluarga, kehormatan, martabat, dan harta benda yang di bawah kekuasaannya, serta berhak atas rasa aman dan perlindungan dari ancaman ketakutan untuk berbuat atau tidak berbuat sesuatu yang merupakan hak asasi. Inilah rumusan dari Pasal 28 G Ayat (1) dari Undang-Undang Dasar, yang dinyatakan Perubahannya yang Kedua dalam suatu Ketetapan Majelis Permusyawaratan Rakyat Republik Indonesia. Dalam rumusan ketentuan ini orang dapat menyuling semua asas yang mengatur perlindungan data dalam Sistem Hukum Pancasila.Di samping rumusan ketentuan di atas, sejumlah rumusan kaedah hukum lainnya berisi asas-asas yang sama dapat juga ditemukan dalam beberapa Undang-Undang yang berlaku dalam sistem hukum Indonesia. Antara lain, UU No. 8 tahun 2011 tentang ITE. Penulis artikel ini berpendapat bahwa seluruh rumusan ketentuan dimaksud adalah bentuk-bentuk perwujudan diri dari jiwa bangsa (Volksgeist) tempat orang dapat menemukan asas-asas dan kaidah yang mengatur perlindungan data dalam Sistem Hukum Pancasila. Satu dari asas hukum yang melindungi data pribadi dapat digunakan untuk memecahkan skandal terkini, yaitu Panamapapers. Abstract Every person has the rights to get protection on his personal/privacy, family, honor, dignity and properties under his power, and has rights to feel secure and to get protection from fear of any threat in order to do or not to do something related to their fundamental rights. This is the formulation of the Article 28 G (1) of the Indonesian Basic Act, mentioned in its Second Amendment mentioned in the Decision of the People's Consultative Assembly of the Republic of Indonesia. In this stipulation one could distil all the legal principles governing data protection in the Pancasila Legal System. Apart from the stipulation mentioned above, some further formulation of legal rules contained similar principles may also be found in several Acts in the Indonesian legal system. Among those Acts, is the Act number 8 of 2011 concerning Information and Electronic Transaction. This writer argues that all of the stipulations are forms of manifestation of the spirit of the Indonesian people (Volksgeist) in which one could find rules and principles governing data protection in the Pancasila Legal System. One of the principles of Law that protect the personal data could be used in order to solve the rescent scandal called Panamapapers.

The present study proposes a Fuzzy Data Envelopment Analysis (FDEA) approach for analyzing the performance of 8 selected paper mills of India. The proposed approach named FDEA considers the use of fuzzy weights in the objective function and makes use of alpha cut to decide the fuzzy interval. The efficiency of paper mills is evaluated based on 3 input parameters (raw material, energy consumption, and water consumption) and 4 output parameters (paper production, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) and Greenhouse Gas (GHG) emissions). Further, this paper also analyzes the effect of negative outputs, like BOD, COD, and GHG on the efficiency of paper mills. The study indicates that FDEA can be used efficiently for evaluating the performance of a particular sector under similar conditions. [ABSTRACT FROM AUTHOR]

Faculty have a great deal of control over their lectures, lecture notes, and slides. This article discusses a coming wave of recording devices and other classroom technologies--this time wielded by the students--which will test this control and force serious conversations about how to best help students learn, what it means to own an idea, and what is meant when talking about developing a community of learners on campus. The harbinger of this wave is the Livescribe Pulse smart pen, created by an MIT engineer and initially aimed directly at the college student market. The smart pen points a tiny camera at specially marked paper, captures what is written, and converts the writing to PDF files and plain text in what is being called paper-based computing. The pen comes with microphones that capture audio and software that synchronizes it with the written notes. A student can replay an entire lecture at a later time, either by interacting with the written notes or through a computer. The pen's software also makes it easy to share recorded class sessions with other students at the Livescribe website or through Facebook. (Contains 4 endnotes.)

Dyslexia is the most prevalent disorder in the world that causes difficulties with reading, writing, and spelling. Pupils with dyslexia show trouble with their cognitive skills. Various interventions were already introduced for their treatment but dyslexia is still a trending disorder. The available interventions utilized for these pupils' learning open the research area for the current state-of-art of learning interventions for pupils with dyslexia. The results of this Systematic Literature Review show the trending interventions, sensory approaches utilized, and difficulties for pupils with dyslexia learning. Papers published over a period of 5 years were reviewed and their data was collected using a rigid systematic process. Based on the gathered data, several analyses were conducted. The search shows that nowadays, technological-based interventions are trending specifically apps and games, in parallel haptics technology is in its very initial stage. The most predominant sensory approaches were visual and auditory, followed by kinesthetic and tactile, mainly intervening with non-technological and technological interventions. There are still many open issues and research opportunities in the field of learning interventions for pupils with dyslexia, as most researchers utilized the visual and auditory approaches for the feedback and guidance of these pupils, while they lack to utilize the kinesthetic and tactile.

The AUD2IT-algorithm is a tool to structure the data, which is collected during an emergency treatment. The goal is on the one hand to structure the documentation of the data and on the other hand to give a standardised data structure for the report during handover of an emergency patient. AUD2IT-algorithm was developed to provide residents a documentation aid, which helps to structure the medical reports without getting lost in unimportant details or forgetting important information. The sequence of anamnesis, clinical examination, considering a differential diagnosis, technical diagnostics, interpretation and therapy is rather an academic classification than a description of the real workflow. In a real setting, most of these steps take place simultaneously. Therefore, the application of the AUD2IT-algorithm should also be carried out according to the real processes. A big advantage of the AUD2IT-algorithm is that it can be used as a structure for the entire treatment process and also is entirely usable as a handover protocol within this process to make sure, that the existing state of knowledge is ensured at each point of a team-timeout. PR-E-(AUD2IT)-algorithm makes it possible to document a treatment process that, in principle, does not have to be limited to the field of emergency medicine. Also, in the outpatient treatment the PR-E-(AUD2IT)-algorithm could be used and further developed. One example could be the preparation and allocation of needed resources at the general practitioner. The algorithm is a standardised tool that can be used by healthcare professionals of any level of training. It gives the user a sense of security in their daily work. [ABSTRACT FROM AUTHOR]