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Journal articles on the topic 'Teacher Dashboards'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

van Leeuwen, Anouschka, Carolien A. N. Knoop-van Campen, Inge Molenaar, and Nikol Rummel. "How Teacher Characteristics Relate to How Teachers Use Dashboards: Results From Two Case Studies in K-12." Journal of Learning Analytics 8, no. 2 (2021): 6–21. http://dx.doi.org/10.18608/jla.2021.7325.

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Teacher dashboards are a specific form of analytics in which visual displays provide teachers with information about their students; for example, concerning student progress and performance on tasks during lessons or lectures. In the present paper, we focus on the role of teacher dashboards in the context of teacher decision-making in K–12 education. There is large variation in teacher dashboard use in the classroom, which could be explained by teacher characteristics. Therefore, we investigate the role of teacher characteristics — such as experience, age, gender, and self-efficacy — in how te

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Dickler, Rachel, Janice Gobert, and Michael Sao Pedro. "Using Innovative Methods to Explore the Potential of an Alerting Dashboard for Science Inquiry." Journal of Learning Analytics 8, no. 2 (2021): 105–22. http://dx.doi.org/10.18608/jla.2021.7153.

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Educational technologies, such as teacher dashboards, are being developed to support teachers’ instruction and students’ learning. Specifically, dashboards support teachers in providing the just-in-time instruction needed by students in complex contexts such as science inquiry. In this study, we used the Inq-Blotter teacher-alerting dashboard to investigate whether teacher support elicited by the technology influenced students’ inquiry performance in a science intelligent tutoring system, Inq-ITS. Results indicated that students’ inquiry improved after receiving teachers’ help, elicited by the

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van Leeuwen, Anouschka, Nikol Rummel, and Tamara van Gog. "What information should CSCL teacher dashboards provide to help teachers interpret CSCL situations?" International Journal of Computer-Supported Collaborative Learning 14, no. 3 (2019): 261–89. http://dx.doi.org/10.1007/s11412-019-09299-x.

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Keuning, Trynke, and Marieke van Geel. "Differentiated Teaching With Adaptive Learning Systems and Teacher Dashboards: The Teacher Still Matters Most." IEEE Transactions on Learning Technologies 14, no. 2 (2021): 201–10. http://dx.doi.org/10.1109/tlt.2021.3072143.

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Vázquez-Ingelmo, Andrea, Francisco José García-Peñalvo, Roberto Therón, and Miguel Ángel Conde. "Representing Data Visualization Goals and Tasks through Meta-Modeling to Tailor Information Dashboards." Applied Sciences 10, no. 7 (2020): 2306. http://dx.doi.org/10.3390/app10072306.

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Information dashboards are everywhere. They support knowledge discovery in a huge variety of contexts and domains. Although powerful, these tools can be complex, not only for the end-users but also for developers and designers. Information dashboards encode complex datasets into different visual marks to ease knowledge discovery. Choosing a wrong design could compromise the entire dashboard’s effectiveness, selecting the appropriate encoding or configuration for each potential context, user, or data domain is a crucial task. For these reasons, there is a necessity to automatize the recommendat

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McCoy, Chase, and Patrick Shih. "Teachers as Producers of Data Analytics: A Case Study of a Teacher-Focused Educational Data Science Program." Journal of Learning Analytics 3, no. 3 (2016): 193–214. http://dx.doi.org/10.18608/jla.2016.33.10.

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Educational data science (EDS) is an emerging, interdisciplinary research domain that seeks to improve educational assessment, teaching, and student learning through data analytics. Teachers have been portrayed in the EDS literature as users of pre-constructed data dashboards in educational technologies, with little consideration given to them as active producers of data analytics. This article presents the case study results of an EDS program at a large university in Midwestern U.S.A. in which faculty and instructors were provided with access to institutional data and data analytics technolog

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Tissenbaum, Mike, and Jim Slotta. "Supporting classroom orchestration with real-time feedback: A role for teacher dashboards and real-time agents." International Journal of Computer-Supported Collaborative Learning 14, no. 3 (2019): 325–51. http://dx.doi.org/10.1007/s11412-019-09306-1.

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Michaeli, Shiran, Dror Kroparo, and Arnon Hershkovitz. "Teachers’ Use of Education Dashboards and Professional Growth." International Review of Research in Open and Distributed Learning 21, no. 4 (2020): 61–78. http://dx.doi.org/10.19173/irrodl.v21i4.4663.

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Education dashboards are a means to present various stakeholders with information about learners, most commonly regarding the learners’ activity in online learning environments. Typically, an education dashboard for teachers will include some type of visual aids that encourage teachers to reflect upon learner behavior patterns and to act in accordance to it. In practice, this tool can assist teachers to make data-driven decisions, thus supporting their professional growth, however, so far, the use of education dashboards by teachers has been greatly understudied. In this research we report on

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Charleer, Sven, Joris Klerkx, and Erik Duval. "Learning Dashboards." Journal of Learning Analytics 1, no. 3 (2014): 199–202. http://dx.doi.org/10.18608/jla.2014.13.22.

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My work explores how information visualisation techniques can be applied to Learning Analytics data to help teachers and students deal with the abundance of learner traces. I also investigate how the affordances of large interactive surfaces can facilitate a collaborative sense-making environment for multiple students and teachers to explore these learner traces together.

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Knight, David B., Cory Brozina, and Brian Novoselich. "An Investigation of First-Year Engineering Student and Instructor Perspectives of Learning Analytics Approaches." Journal of Learning Analytics 3, no. 3 (2016): 215–38. http://dx.doi.org/10.18608/jla.2016.33.11.

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This paper investigates how first-year engineering undergraduates and their instructors describe the potential for learning analytics approaches to contribute to students’ success. Results of qualitative data collection in a first-year engineering course indicated that both students and instructors emphasized a preference for learning analytics systems to focus on aggregate as opposed to individual data. Another consistent theme across students and instructors was an interest in bringing data related to time (e.g., how time is spent outside of class) into learning analytics products. Students’

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Molenaar, I., and C. A. N. Knoop-van Campen. "How Teachers Make Dashboard Information Actionable." IEEE Transactions on Learning Technologies 12, no. 3 (2019): 347–55. http://dx.doi.org/10.1109/tlt.2018.2851585.

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López Tavares, D., K. Perkins, M. Kauzmann, and C. Aguirre Velez. "Towards a teacher dashboard design for interactive simulations." Journal of Physics: Conference Series 1287 (August 2019): 012055. http://dx.doi.org/10.1088/1742-6596/1287/1/012055.

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13

Amalia, Nur Laita Rizki, Ahmad Afif Supianto, Nanang Yudi Setiawan, Vicky Zilvan, Asri Rizki Yuliani, and Ade Ramdan. "Student Academic Mark Clustering Analysis and Usability Scoring on Dashboard Development Using K-Means Algorithm and System Usability Scale." Jurnal Ilmu Komputer dan Informasi 14, no. 2 (2021): 137–43. http://dx.doi.org/10.21609/jiki.v14i2.980.

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Learning activities are one of the processes of delivering information or messages from teachers to students. SMPN 4 Sidoarjo is a State Junior High School (JHS) located in Sidoarjo Regency. During the learning process, the collected academic score data were still not well organized by teachers and school principals in monitoring student learning performance. The score data is from Bahasa Indonesia subject from a teacher with 222 data included at 2019/2020 school year. The method used in student clustering is K-Means. The number of clusters are determined using the elbow method and displayed i

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Leonardou, Angeliki, Maria Rigou, Aliki Panagiotarou, and John Garofalakis. "The Case of a Multiplication Skills Game: Teachers’ Viewpoint on MG’s Dashboard and OSLM Features." Computers 10, no. 5 (2021): 65. http://dx.doi.org/10.3390/computers10050065.

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Educational games and digital game-based learning (DGBL) provide pupils interactive, engaging, intelligent, and motivating learning environments. According to research, digital games can support students’ learning and enhance their motivation to learn. Given the central role teachers play in the learning process, their perceptions of DGBL play a significant role in the usage and effectiveness of game-based learning. This paper presents the main findings of an online research on primary school teachers’ attitudes toward DGBL. Furthermore, the research investigates teachers’ opinions about the f

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Winer, Amir, and Nitza Geri. "Learning analytics performance improvement design (LAPID) in higher education: Framework and concerns." Online Journal of Applied Knowledge Management 7, no. 2 (2019): 41–55. http://dx.doi.org/10.36965/ojakm.2019.7(2)41-55.

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Learning Analytics Dashboards (LAD) promise to disrupt the Higher Education (HE) teaching practice. Current LAD research portrays a near future of e-teaching, empowered with the ability to predict dropouts, to validate timely pedagogical interventions and to close the instructional design loop. These dashboards utilize machine learning, big data technologies, sophisticated artificial intelligence (AI) algorithms, and interactive visualization techniques. However, alongside with the desired impact, research is raising significant ethical concerns, context-specific limitations and difficulties t

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Scheneider, Thaís, and Robson Lemos. "Use of Learning Analytics Interactive Dashboards in Serious Games." International Journal for Innovation Education and Research 8, no. 3 (2020): 150–74. http://dx.doi.org/10.31686/ijier.vol8.iss3.2220.

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The learning analytics in serious games, corresponds to a subject in increasing demand in the educational field. In this context, there is a need to study how data visualizations found in the literature are adopted in learning analytics in serious games. This paper presents a Systematic Literature Review (SLR) on how the evolution of studies associated with the use of learning analytics interactive dashboards in serious games is processed, seeking to investigate the characteristics of using dashboards for viewing educational data. A bibliometric analysis was carried out in which 75 relevant st

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Jarke, Juliane, and Felicitas Macgilchrist. "Dashboard stories: How narratives told by predictive analytics reconfigure roles, risk and sociality in education." Big Data & Society 8, no. 1 (2021): 205395172110255. http://dx.doi.org/10.1177/20539517211025561.

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In this paper, we explore how the development and affordances of predictive analytics may impact how teachers and other educational actors think about and teach students and, more broadly, how society understands education. Our particular focus is on the data dashboards of learning support systems which are based on Machine Learning (ML). While previous research has focused on how these systems produce credible knowledge, we explore here how they also produce compelling, persuasive and convincing narratives. Our main argument is that particular kinds of stories are written by predictive analyt

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Fahrezy, Husein Muhammad, Toga Parlindungan Silaen, and Henderi Henderi. "MODEL INFORMATION DASHBOARD NILAI SISWA: TOOLS MONITORING HASIL BELAJAR." Jurnal Ilmiah Matrik 22, no. 1 (2020): 36–42. http://dx.doi.org/10.33557/jurnalmatrik.v22i1.837.

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In teaching and learning activities it is necessary to have monitoring activities carried out by teachers to the principal, so that the teaching staff know the values and limits of the ability of their students. The process of delivering information about the grades of students to the principal is still manually and less than optimal. So we need a system that makes it easy for teachers to monitor their students. Therefore, the discussion in this paper is to design a dashboard information model that will facilitate collaboration between teachers and monitor the development of students' abilitie

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Bartlett, Andrew, Carl R. Schneider, Jonathan Penm, and Ardalan Mirzaei. "Use of Visual Dashboards to Enhance Pharmacy Teaching." Pharmacy 9, no. 2 (2021): 93. http://dx.doi.org/10.3390/pharmacy9020093.

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Teaching large cohorts of pharmacy students with a team of multiple tutors in a feedback intensive course poses challenges in relation the amount of data generated, data integrity, interpretation of the data and importantly application of the insights gained from the data. The dispensing and counselling course in the third year BPharm at the University of Sydney has implemented the USyd Pharmacy Dashboard, developed to address these challenges following the Technological Pedagogical Content Knowledge Framework (TPACK) to integrate technology into teaching. The dashboard was designed to improve

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Marier, Syauqie Muhammad, and Pipit Febriana Dewi. "Tahfidz Quran Monitoring System in Islamic Boarding Schools." Telematika 18, no. 1 (2021): 1. http://dx.doi.org/10.31315/telematika.v18i1.3931.

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Purpose: development a good tahfidz quran monitoring system, in presenting the data to quran teachers and parents. Presentation of data in the proposed monitoring system is in the form of tables, text, a graph of the Tahfidz progression and a dashboard for the achievement of the Tahfidz target.Design/methodology/approach: waterfallFindings/result: the tahfidz monitoring system that presents data in the form of graphs, charts, tables and text, thus providing monitoring functions that are easy to read and quickly understood.Originality/value/state of the art: dashboard display and chart on the t

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Safsouf, Yassine, Khalifa Mansouri, and Franck Poirier. "TaBAT: Design and Experimentation of a Learning Analysis Dashboard for Teachers and Learners." Journal of Information Technology Education: Research 20 (2021): 331–50. http://dx.doi.org/10.28945/4820.

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Aim/Purpose: Since the beginning of the COVID-19 pandemic, many countries have adopted online education as an alternative to face-to-face courses. This has increased awareness of the importance of analyzing learning data left by students to improve and evaluate the learning process. This article presents a new tool, named TaBAT, created to work with different LMSs in the form of dashboards accessible online and allowing teachers to monitor the progress of their learners and at the same time allow learners to visualize their learning process. Background: TaBAT is designed based on the results o

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Saptono, Arief, Siti Hajar, and Citha Pardiani Atmaja Putri. "RANCANG BANGUN SISTEM PENILAIAN KINERJA GURU DAN TENAGA KEPENDIDIKAN BERBASIS KPI UNTUK MENINGKATKAN PELAYANAN SEKOLAH." Journal CERITA 6, no. 1 (2020): 52–62. http://dx.doi.org/10.33050/cerita.v6i1.888.

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The process of evaluating the performance of teachers and education personnel in several schools is still carried out manually, where the calculation of performance is only seen based on absenteeism and is still very subjective, this is quite time consuming in the calculation so thatit is ineffective and inefficient besides the results are less accurate. To overcome the problems above, we need a computerized system so that it can solve the problem and speed up the process. Therefore, this study proposes the design of teacher and staff performance appraisal systems automatically based on data c

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Pelánek, Radek. "Analyzing and Visualizing Learning Data: A System Designer's Perspective." Journal of Learning Analytics 8, no. 2 (2021): 93–104. http://dx.doi.org/10.18608/jla.2021.7345.

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In this work, we consider learning analytics for primary and secondary schools from the perspective of the designer of a learning system. We provide an overview of practically useful analytics techniques with descriptions of their applications and specific illustrations. We highlight data biases and caveats that complicate the analysis and its interpretation. Although we intentionally focus on techniques for internal use by designers, many of these techniques may inspire the development of dashboards for teachers or students. We also identify the consequences and challenges for research.

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Solorzano Alcivar, Nayeth I., Robert Loor Zambrano, Stalyn Gonzabay Yagual, and Boris X. Vintimilla Burgos. "Statistical Representations of a Dashboard to Monitor Educational Videogames in Natural Language." SHS Web of Conferences 77 (2020): 05003. http://dx.doi.org/10.1051/shsconf/20207705003.

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This paper explains how Natural Language (NL) processing by computers, through smart programs as a way of Machine Learning (ML), can represent large sets of quantitative data as written statements. The study recognized the need to improve the implemented web platform using a dashboard in which we collected a set of extensive data to measure assessment factors of using children’s educational games. In this case, applying NL is a strategy to give assessments, build, and display more precise written statements to enhance the understanding of children’s gaming behavior.We propose the development o

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Baneres, David, Ana Elena Guerrero-Roldán, M. Elena Rodríguez-González, and Abdulkadir Karadeniz. "A Predictive Analytics Infrastructure to Support a Trustworthy Early Warning System." Applied Sciences 11, no. 13 (2021): 5781. http://dx.doi.org/10.3390/app11135781.

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Learning analytics is quickly evolving. Old fashioned dashboards with descriptive information and trends about what happened in the past are slightly substituted by new dashboards with forecasting information and predicting relevant outcomes about learning. Artificial intelligence is aiding this revolution. The accessibility to computational resources has increased, and specific tools and packages for integrating artificial intelligence techniques leverage such new analytical tools. However, it is crucial to develop trustworthy systems, especially in education where skepticism about their appl

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Martinez-Maldonado, Roberto. "A handheld classroom dashboard: Teachers’ perspectives on the use of real-time collaborative learning analytics." International Journal of Computer-Supported Collaborative Learning 14, no. 3 (2019): 383–411. http://dx.doi.org/10.1007/s11412-019-09308-z.

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Ruiperez-Valiente, Jose A., Manuel J. Gomez, Pedro A. Martinez, and Yoon Jeon Kim. "Ideating and Developing a Visualization Dashboard to Support Teachers Using Educational Games in the Classroom." IEEE Access 9 (2021): 83467–81. http://dx.doi.org/10.1109/access.2021.3086703.

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Guitart, Isabel, and Jordi Conesa. "Adoption of Business Strategies to Provide Analytical Systems for Teachers in the Context of Universities." International Journal of Emerging Technologies in Learning (iJET) 11, no. 07 (2016): 34. http://dx.doi.org/10.3991/ijet.v11i07.5887.

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Competitive organizations have implemented systems of business intelligence in order to help employees in the process of evidence-based decision-making. Using these systems in university will provide a set of analytical tools that support decision-making of academics focused to the improvement of their research and teaching activities. In the case of teachers, for example, it may help to better understand students, how they learn and how to improve the learning processes according to evidences. To implement these systems efficiently it is necessary to gather data about the activities students

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Martinez-Maldonado, Roberto. "Correction to: A handheld classroom dashboard: teachers’ perspectives on the use of real-time collaborative learning analytics." International Journal of Computer-Supported Collaborative Learning 14, no. 3 (2019): 413–14. http://dx.doi.org/10.1007/s11412-019-09314-1.

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Bao, Haogang, Yanyan Li, You Su, Shuang Xing, Nian-Shing Chen, and Carolyn Penstein Rosé. "The effects of a learning analytics dashboard on teachers’ diagnosis and intervention in computer-supported collaborative learning." Technology, Pedagogy and Education 30, no. 2 (2021): 287–303. http://dx.doi.org/10.1080/1475939x.2021.1902383.

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McDiarmid, G. Williamson. "Competing Theories for Improving Teacher Preparation Programs: The Case of North Carolina." ECNU Review of Education 2, no. 2 (2019): 117–36. http://dx.doi.org/10.1177/2096531119853662.

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Purpose: Written from the prospective of a school of education dean, the article describes how deans worked with researchers and university system staff to develop multiple measures of teacher preparation program (TPP) quality. Design/Approach/Methods: As a key participant in the development of a multi-methods approach to evaluating (TPP) quality, the author frequently interacted with the university system oversight staff, the researchers tasked with measuring TPP quality, and the school of education deans. The article draws on his experience in collaborating with individuals in these three gr

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Zotov, Vladimir, Iman Ibrahim, Irina Petunina, and Yuliya Lazareva. "Engagement of Students in Data Visualization for the Purpose of E-Learning Improvement." International Journal of Emerging Technologies in Learning (iJET) 16, no. 02 (2021): 46. http://dx.doi.org/10.3991/ijet.v16i02.18745.

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The study describes an approach to e-learning based on the Moodle platform that is used to visualize participation in the learning community and is proposed to be used to inform students and teachers about their involvement in the social learn-ing environment. The experiment involved 5 teachers and 3 experts who deter-mined the most significant visualization indicators for the virtual learning envi-ronment dashboards. There were 42 students aged 21 to 23. The virtual learning environment is based on the Moodle and Blackboard platforms that are common-ly used in universities. SocialWall allowed

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Gomez, Manuel J., José A. Ruipérez-Valiente, Pedro A. Martínez, and Yoon Jeon Kim. "Applying Learning Analytics to Detect Sequences of Actions and Common Errors in a Geometry Game." Sensors 21, no. 4 (2021): 1025. http://dx.doi.org/10.3390/s21041025.

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Games have become one of the most popular activities across cultures and ages. There is ample evidence that supports the benefits of using games for learning and assessment. However, incorporating game activities as part of the curriculum in schools remains limited. Some of the barriers for broader adoption in classrooms is the lack of actionable assessment data, the fact that teachers often do not have a clear sense of how students are interacting with the game, and it is unclear if the gameplay is leading to productive learning. To address this gap, we seek to provide sequence and process mi

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Rodrigues, Rodrigo Lins, Jorge Luis Cavalcanti Ramos, João Carlos Sedraz Silva, Raphael A. Dourado, and Alex Sandro Gomes. "Forecasting Students' Performance Through Self-Regulated Learning Behavioral Analysis." International Journal of Distance Education Technologies 17, no. 3 (2019): 52–74. http://dx.doi.org/10.4018/ijdet.2019070104.

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The increasing use of the Learning Management Systems (LMSs) is making available an ever-growing, volume of data from interactions between teachers and students. This study aimed to develop a model capable of predicting students' academic performance based on indicators of their self-regulated behavior in LMSs. To accomplish this goal, the authors analyzed behavioral data from an LMS platform used in a public University for distance learning courses, collected during a period of seven years. With this data, they developed, evaluated, and compared predictive models using four algorithms: Decisi

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Bañeres, David, M. Elena Rodríguez, Ana Elena Guerrero-Roldán, and Abdulkadir Karadeniz. "An Early Warning System to Detect At-Risk Students in Online Higher Education." Applied Sciences 10, no. 13 (2020): 4427. http://dx.doi.org/10.3390/app10134427.

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Artificial intelligence has impacted education in recent years. Datafication of education has allowed developing automated methods to detect patterns in extensive collections of educational data to estimate unknown information and behavior about the students. This research has focused on finding accurate predictive models to identify at-risk students. This challenge may reduce the students’ risk of failure or disengage by decreasing the time lag between identification and the real at-risk state. The contribution of this paper is threefold. First, an in-depth analysis of a predictive model to d

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Mardenova, L. K., and А. Maksat. "DIGITAL RESOURCE TO STUDY MATHEMATICS AND MANAGE THE LEARNING PROCESS OF STUDENTS BY KHAN ACADEMY." BULLETIN Series of Physics & Mathematical Sciences 69, no. 1 (2020): 134–38. http://dx.doi.org/10.51889/2020-1.1728-7901.22.

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This article shortly researches how does it work: one of the popular free online platforms called Khan Academy to study Mathematics in the perspective of methodology of teaching. Khan Academy is free online platform with video tutorials and explanations with exercise dashboard for learning subjects like Mathematics, Science and more. This digital resource provides statistics for teachers to monitor the progress of students. In this article written explanations why it is effective and how it could be implemented to Kazakhstan’s schools. The method of research is observing the experiences of ove

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Tyrväinen, Heli, Sanna Uotinen, and Leena Valkonen. "Instructor Presence in a Virtual Classroom." Open Education Studies 3, no. 1 (2021): 132–46. http://dx.doi.org/10.1515/edu-2020-0146.

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Abstract Synchronous online learning platforms have been used actively during the COVID-19 period. They have opened possibilities for online learning and interaction, but have also posed new challenges for instructors. This article provides insights into one teacher’s interactions and examines how the instructor presence is expressed in the teachers’ activities in virtual classrooms in higher education. Instructor presence is investigated using the social and teaching presence indicators of the community of inquiry (CoI) framework. Twelve hours of interactions across six online classes were re

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Saputro, B., H. S. Tortop, M. Zuhri, M. Mansur, and M. Saerozi. "The Effectiveness of the Learning Management System of Saqural Learning Application on the Scientific Interpretation Learning Outcomes." Jurnal Pendidikan IPA Indonesia 10, no. 1 (2021): 111–20. http://dx.doi.org/10.15294/jpii.v10i1.27677.

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This study aims to obtain an effective BERSAQURAL Learning Management System on the learning outcomes of BERSAQURAL interpretation through digital literacy. This study is a quantitative type with One-Group Pretest-Posttest Design. This study population was 90 third-semester science education students at the Faculty of Teacher Training and Education IAIN Salatiga who participated in a science interpretation course. The sample in this study was purposive sampling, and one group is 30 students. The data collection instrument was pretest and posttest questions of the BERSAQURAL interpretation of w

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Bagewadi, Madhuri. "Industrial Monitoring Using Internet of Things -A MQTT Paradigm." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 1549–54. http://dx.doi.org/10.22214/ijraset.2021.38193.

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Abstract: Internet of things (IOT) has taken a very pervasive role in our technological advancement. Today we find development in medical, schools, industrial sectors using IOT to enhance their operations. IOT is used in medical to gather information about patient’s health records, in schools’ teachers are able to track attendance of students in the campus, in industries motor controls, maintenance, and predictive fault analysis are some of application. The architecture of IOT is setup in such a way that sensors and actuators are connected to the internet. The devices on which interface to int

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Buinytska, Oksana, Liliia Varchenko-Trotsenko, Tetiana erletska, and Dariya Nastas. "MODERNIZATION OF ELECTRONIC LEARNING SYSTEM OF THE UNIVERSITY TO THE NEEDS OF THE PARTICIPANTS OF THE EDUCATIONAL PROCESS." OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY, no. 9 (2020): 1–14. http://dx.doi.org/10.28925/2414-0325.2020.9.1.

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Electronic education has been an integral part of the educational process at higher education institutions for more than a decade. However, it had had rather a supporting role in Ukraine before the pandemic, whereas today it is crucial to provide full-fledged learning, communication and collaboration for all educational process participants with the help of electronic resources. Therefore, there is a need in modernization of the electronic learning system of the university according to current requirements and challenges. The article outlines the ways the e-learning system changes implementati

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Gaeta, Eugenio, María Eugenia Beltrán-Jaunsaras, Gloria Cea, et al. "Evaluation of the Create@School Game-Based Learning–Teaching Approach." Sensors 19, no. 15 (2019): 3251. http://dx.doi.org/10.3390/s19153251.

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The constructivist approach is interested in creating knowledge through active engagement and encourages students to build their knowledge from their experiences in the world. Learning through digital game making is a constructivist approach that allows students to learn by developing their own games, enhancing problem-solving skills and fostering creativity. In this context two tools, Create@School App and the Project Management Dashboard (PMD), were developed to enable students from different countries to be able to adapt their learning material by programming and designing games for their a

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Mukherjee, Pallabi, Kali Charan Modak, and Jolly Sushma. "Connecting Growth with Development and Income with Sustainability, Education, and Employment of Global Powerhouses - A SEDA Perspective." Shanlax International Journal of Economics 9, no. 1 (2020): 18–27. http://dx.doi.org/10.34293/economics.v9i1.3456.

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Purpose: This paper aims to depict the recent initiation to evaluate the efficiency of a nation in converting wealth to well-being in terms of Sustainable Economic Development Assessment scores (SEDA) specially analyzed for the global powerhouse countries accommodating 78% of the world’ population and 87% of countries income.Design/Methodology/Approach: SEDA (Sustainable Economic Development Assessment) measures sustainable development with three broad dimensions: economic, sustainability, and environment. The analysis is carried out by plotting a four-quadrant matrix chart to compare some mac

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Andreassen, Helen. "Hospitality and tourism as a subject in secondary schools: A worthwhile choice or a ‘dumping ground’?" Hospitality Insights 2, no. 1 (2018): 1–2. http://dx.doi.org/10.24135/hi.v2i1.30.

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The tourism sector is now New Zealand’s number one export earner, contributing 17.4 percent to New Zealand’s total exports of goods and services [1]. In addition, the sector directly employs 8.4 percent of New Zealand’s workforce and a further 6.1 percent are indirectly employed [2]. Given the obvious importance of hospitality and tourism to both the national economy and local communities, one would expect that a potential career in the industry would be something for a young person to aspire to. Sadly, this is not the case, and recent research has found that much of the poor perception of a c

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Wiedbusch, Megan D., Vance Kite, Xi Yang, et al. "A Theoretical and Evidence-Based Conceptual Design of MetaDash: An Intelligent Teacher Dashboard to Support Teachers' Decision Making and Students’ Self-Regulated Learning." Frontiers in Education 6 (February 19, 2021). http://dx.doi.org/10.3389/feduc.2021.570229.

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Teachers’ ability to self-regulate their own learning is closely related to their competency to enhance self-regulated learning (SRL) in their students. Accordingly, there is emerging research for the design of teacher dashboards that empower instructors by providing access to quantifiable evidence of student performance and SRL processes. Typically, they capture evidence of student learning and performance to be visualized through activity traces (e.g., bar charts showing correct and incorrect response rates, etc.) and SRL data (e.g., eye-tracking on content, log files capturing feature selec

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Knoop-van Campen, Carolien A. N., Alyssa Wise, and Inge Molenaar. "The equalizing effect of teacher dashboards on feedback in K-12 classrooms." Interactive Learning Environments, May 31, 2021, 1–17. http://dx.doi.org/10.1080/10494820.2021.1931346.

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West, Deborah, Ann Luzeckyj, Danny Toohey, Jessica Vanderlelie, and Bill Searle. "Do academics and university administrators really know better? The ethics of positioning student perspectives in learning analytics." Australasian Journal of Educational Technology, January 1, 2020. http://dx.doi.org/10.14742/ajet.4653.

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Increasingly learning analytics (LA) has begun utilising staff- and student-facing dashboards capturing visualisations to present data to support student success and improve learning and teaching. The use of LA is complex, multifaceted and raises many issues for consideration, including ethical and legal challenges, competing stakeholder views and implementation decisions. It is widely acknowledged that LA development requires input from various stakeholders. This conceptual article explores the LA literature to determine how student perspectives are positioned as dashboards and visualisations

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"Learning Analytics Dashboard Model to Supervise a Distance Learning." International Journal of Recent Technology and Engineering 8, no. 5 (2020): 3944–49. http://dx.doi.org/10.35940/ijrte.e6675.018520.

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Providing performance measures of training devices becomes a necessity for teachers. Without having them, teachers will have no clue in measuring the goals achieved. However, the analysis techniques available today allow us to go further and to consider new applications to serve the quality and effectiveness of training devices. This article presents the design and the implementation of a system for the supervision of an online course and the different roles involved in a computer environment for human learning. As a result, a description of the needs in terms of dashboards during data observa

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Motwani, Prateek, Ratnesh Choudhary, Pratik Ramteke, Prayag Nimburkar, Nitin Chilate, and Atul Tiwari. "Web Based Academic Monitoring and Analysis Dashboard." International Journal of Advanced Research in Science, Communication and Technology, April 21, 2021, 195–99. http://dx.doi.org/10.48175/ijarsct-v4-i3-032.

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Web Based Academic Monitoring and Analysis Dashboard is a newly developed learning support tool that is believed to allow students and teachers to review their online learning behavior patterns intuitively through the provision of visual information. The purpose of this study was to provide virtual experience to users using business intelligence (BI) for better decision making relation to academics and To optimize the work and to bring efficiency in data analysis and make it more convinent to understand. Owing to the multitude of benefits, Web Based Academic Monitoring integrated with Analytic

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Kasepalu, Reet, Pankaj Chejara, Luis P. Prieto, and Tobias Ley. "Do Teachers Find Dashboards Trustworthy, Actionable and Useful? A Vignette Study Using a Logs and Audio Dashboard." Technology, Knowledge and Learning, April 27, 2021. http://dx.doi.org/10.1007/s10758-021-09522-5.

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Kasepalu, Reet, Pankaj Chejara, Luis P. Prieto, and Tobias Ley. "Correction to: Do Teachers Find Dashboards Trustworthy, Actionable and Useful? A Vignette Study Using a Logs and Audio Dashboard." Technology, Knowledge and Learning, July 5, 2021. http://dx.doi.org/10.1007/s10758-021-09549-8.

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