Model for the collection and analysis of data from teachers and students supported by Academic Analytics

Simanca, A H Fredys; Arteaga, Isabel Hernández; Puin, María Elsa Unriza; Garrido, Fabian Blanco; Páez, Jaime Alberto Páez; Méndez, Jairo Cortes; Rodríguez-Álvarez, Alicia

doi:10.1016/j.procs.2020.10.039

Cited by 6 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is appropriate to ask whether, in the midst of these more likely than threatening circumstances, the mode of data collection and management suggested by (Simanca et al, 2020) would be appropriate. In this case, it would be necessary to corroborate whether the proposal could work as a valid way to obtain and use empirical data that would allow progress in the interrelated studies of addictions, learning and health promotion, as a challenge to be faced by academic managers in universities.…”

Section: The Methodological Question How To Examine the Problem?mentioning

confidence: 99%

“…In this regard, the model proposed by Simanca H. et al (2020) is relevant, and its result could be useful for the empirical determination of the processes related to the topic at hand, since it allows the collection and analysis of data from teachers and students supported by Academic Analytics.…”

Section: The Addictive Problem What Does Current Theory Say?mentioning

confidence: 99%

“…It is reiterated that Academic Analytics allows an analysis of data that are very important for decision making in the educational institutional environment, aggregating valuable information in the academic research activity and providing easy-to-use business intelligence tools (Simanca H. et al, 2020).…”

Section: The Addictive Problem What Does Current Theory Say?mentioning

confidence: 99%

“…Here again, the model of Simanca et al (2020) could show its viability to provide academic data that could ultimately relate the diversity of variables, taking into account their timeliness, as well as the importance of the data that educational institutions can provide for decision making. Vujić & Szabo (2022) found that life satisfaction did not directly predict smartphone addiction, however, an indirect effect, through perceived stress, was statistically significant.…”

Section: Internet Addiction Interconnections and Implicationsmentioning

confidence: 99%

See 3 more Smart Citations

Academic Directors Facing Internet Addictions, Learning and Health Promotion

Varela

Guerra²,

Almeida³

et al. 2023

JESR

View full text Add to dashboard Cite

The result that is presented is expressed from a bibliographic review of works published during the last two years 2020-2022 and, through which it was possible to verify the relationships that are established between the work of the Academic Directors, before the latent challenge and visible that is the crossroads of Internet addictions, by university students, increased in the stage already overcome of social isolation imposed by Covid 19 but, with emphasis on the achievement of learning at this high educational level, its risks and consequent decreases in the attacks that occur as a result of procrastination. All associated with the addictive phenomenon, in a projection of health promotion that the current, humanistic, modern and developing university should not give up in any way, being precisely in this direction an unavoidable pillar of social development, which lies precisely in the high professional qualification. of the new generations committed to a prosperous and sustainable social change. Received: 8 January 2023 / Accepted: 28 February 2023 / Published: 5 March 2023

show abstract

Section: The Methodological Question How To Examine the Problem?mentioning

confidence: 99%

Section: The Addictive Problem What Does Current Theory Say?mentioning

confidence: 99%

Section: The Addictive Problem What Does Current Theory Say?mentioning

confidence: 99%

Section: Internet Addiction Interconnections and Implicationsmentioning

confidence: 99%

See 2 more Smart Citations

Academic Directors Facing Internet Addictions, Learning and Health Promotion

Varela

Guerra²,

Almeida³

et al. 2023

JESR

View full text Add to dashboard Cite

show abstract

“…The information collection began in September 2020 (for one academic semester). Respondents agreed to become volunteer participants of the study on confidentiality and anonymity, which was done (Simanca et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Art education on big data and digital platforms base of higher education institutions

Prykhod’ko

Khil

Pobirchenko

et al. 2022

ijhs

View full text Add to dashboard Cite

The study aimed to identify Big Data components and the role of the digital platform used for art education. In addition, the aim can be considered a definition of participants' role in the educational process in a broad application of Big Data and digital platforms. In conducting the research, a comprehensive approach was actively used, as well as descriptive methods, qualitative and quantitative ways of monitoring. We used questionnaires to get the necessary information, studied the essential literary sources, collected and analyzed data, and summarized the results. After summarizing the information obtained, it became clear that the Big Data use and digital platforms for art education allowed the transfer of the classical educational process to digital media and created the necessary environment for intellectualizing the educational process. In the future, it is worth considering and searching for options on how to get rid of the gaps in the use of information technology for art education. Relevant issues can be viewed as the problems of security, confidentiality, ethical component, compatibility, data storage, and processing problems, and the acute experienced personnel shortage.

show abstract

Learning assessment in the age of big data: Learning analytics in higher education

Caspari-Sadeghi

2022

Cogent Education

View full text Add to dashboard Cite

Model for the collection and analysis of data from teachers and students supported by Academic Analytics

Cited by 6 publications

References 7 publications

Academic Directors Facing Internet Addictions, Learning and Health Promotion

Academic Directors Facing Internet Addictions, Learning and Health Promotion

Art education on big data and digital platforms base of higher education institutions

Learning assessment in the age of big data: Learning analytics in higher education

Contact Info

Product

Resources

About