Evidence map›Paper›PMID 35194587›Full record

ArticleInternational journal of educational research open2022

Going digital as a result of COVID-19: Insights from students' and teachers' impressions in a Swedish university.

Fisnik Dalipi, Päivi Jokela, Zenun Kastrati, Arianit Kurti, Patrik Elm

Abstract read
In one paragraph

Article in International journal of educational research open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fisnik DalipiDepartment of Informatics, Linnaeus University, P G Vejdes väg, 351 95, Växjö, Sweden.
Päivi JokelaDepartment of Informatics, Linnaeus University, P G Vejdes väg, 351 95, Växjö, Sweden.
Zenun KastratiDepartment of Informatics, Linnaeus University, P G Vejdes väg, 351 95, Växjö, Sweden.
Arianit KurtiDepartment of Informatics, Linnaeus University, P G Vejdes väg, 351 95, Växjö, Sweden.
Patrik ElmDepartment of Informatics, Linnaeus University, P G Vejdes väg, 351 95, Växjö, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the past two years, the entire world has been coping with the consequences of the COVID-19 pandemics. The need for physical distancing, forced an accelerated digital transformation of the education sector. The emergency remote education (ERE) has been manifested differently across diverse countries in the world. In this paper, we bring a case study about students' and teachers' impressions and experiences regarding the changes that have happened due to pandemic conditions in university courses in informatics at a Swedish university. This research is conducted through a mix of quantitative and qualitative empirical data. These data have been collected through the students surveys, course logs, as well as teachers and ICT pedagogue interviews. The collected data have been analyzed through the technology-mediated learning (TML) theoretical framework. Based on the thematic analysis on the collected data, we have identified three main themes: a) Preparedness, b) Challenges with ERE and c) Opportunities with ERE. As a result, through analyzing data in the light of the ERE experiences that encompasses the educational process, affordance, and beliefs, knowledge, and practices, we provide a set of lessons-learned experiences and indicate the possible lines of actions when it comes to the learning design in the constrained pandemic situations.

Indexed as

COVID-19Emergency remote educationHigher educationMixed methodStudents’ and teachers’ impressionsTechnology-mediated learning

Identifiers

PMID35194587
PMCPMC8853440

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.