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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Digital innovation in education: Perspectives, opportunities and challenges of educational open data and sensor data</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Mubashrah Saddiqa</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Rikke Magnussen</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Birger Larsen</string-name>
          <email>birgerg@hum.aau.dk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jens Myrup Pedersen</string-name>
          <email>jensg@es.aau.dk</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Communication and Psychology, Aalborg University</institution>
          ,
          <country country="DK">Denmark</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Department of Electronic Systems, Aalborg University</institution>
          ,
          <country country="DK">Denmark</country>
        </aff>
      </contrib-group>
      <fpage>74</fpage>
      <lpage>83</lpage>
      <abstract>
        <p>The emergence of digital technologies and data has in uenced every area of life, from business to education. Data are important not only for global economic growth, public services, and social change but also for education. To address the challenges of the digital shift, the ability to interpret data and make decisions based on those interpretations is becoming increasingly important for our younger generation. It will be imperative for future generations of students to be equipped with the necessary digital and data skills to face the challenges of a digital and data society. This paper will discuss the perspectives, future opportunities, and challenges of using educationally relevant open data and sensor data in schools to create new possibilities for digital and data innovation in secondary school education.</p>
      </abstract>
      <kwd-group>
        <kwd>Open data</kwd>
        <kwd>sensor data</kwd>
        <kwd>digital and data skills</kwd>
        <kwd>digital innovation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Data and digital technologies are now entrenched in our daily lives. It is therefore
vital for young learners to be equipped with digital and data skills, the ability to
understand data, and a command of digital technology operation [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. There has
been a rapid increase in openly accessible data sources that can be used
without permissions and restrictions, such as open data that are publicly available
datasets about tra c, population, education, the environment, statistics, etc.
[
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. Simultaneously, with advancements in sensor technology, using sensors for
data collection activities is now widely available to schools to integrate into their
curricula [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. Sensors can play an important role in education [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], particularly
for secondary school students, as students begin to consider their surroundings,
including the various phenomena occurring within those surroundings. Sensors
can provide students with new types of hands-on, real-world experience in their
immediate surroundings [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Furthermore, incorporating IoT and sensors in the
educational sector can provide students with hands-on experience with digital
technology. It can also aid at the beginning of a process of sustainability
perception and attitudinal shift among young students. For instance, authors in [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]
discussed how IoT-enabled energy applications, for example, could be integrated
into school life. The ndings show that IoT and sensors can provide educational
and energy-saving bene ts by engaging students and providing them with
handson experience based on real-world data.
      </p>
      <p>
        Open data and sensor data can both play key roles in bringing digital
innovation to education by engaging students in data collection activities and allowing
them to understand the concept of data via analysis and interpretation in
relation to the real world [
        <xref ref-type="bibr" rid="ref7 ref8">7, 8</xref>
        ]. To build a digital and data-literate society, it is
essential to initiate the acquisition of key data literacy skills early in education
( fth grade onward). For instance, how data is collected, published, and used
in real life and what data platforms can be used to access educational relevant
datasets. The scant research on the use of open data in elementary or secondary
schools indicates a lack of awareness among educators [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. Notably, there are
challenges in integrating digital and data technology in schools, such as teachers
being unaware of open data, including its potential as an educational resource,
and the need for skilled teachers to integrate well-suited data into their teaching
assignments.
      </p>
      <p>
        Previous research studies [4, 10{14] conducted in close collaboration with
Danish public schools identi ed opportunities for open data as an educational
resource. For example, the use of data from students' municipalities can pique
their interest, foster discussions, and explain problems in students'
geographical or social environments, which helps them relate the data to their everyday
lives [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. Several issues that impede teachers' use of open data in education
have also been recognized, such as the concept of open data being abstract and
di cult for students to understand and the fact that hands-on data collection
activities are required to grasp the concept of data [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]. To aid teachers,
educational open data domains were identi ed from the national open data portal,
and an open data interface was developed to assist with educational assignments
using educationally relevant open datasets in a previous study [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
Additionally, requirement models for curriculum-compatible sensors were developed for
data collection activities and usability of open data interface has been tested by
teachers and students [
        <xref ref-type="bibr" rid="ref14 ref4">4, 14</xref>
        ].
      </p>
      <p>However, to take full advantage of these publicly available resources, further
research is needed to better understand the value and opportunities of open
data as an educational resource, including how to integrate real datasets into
the learning process. This exploratory paper will explore the perspectives and
future possibilities of using open data in education in a variety of contexts other
than classroom activities based on our previously conducted research studies [4,
10{14]. We will discuss the perspective of open data and sensor data in a broader
view in the following research question (RQ):</p>
      <p>RQ: (a) What are the future opportunities for open data and sensor data
in an educational context, and (b) what are the potential challenges to realizing
these opportunities?</p>
      <p>The following is the structure of the exploratory article. The research
methods for identifying challenges and opportunities are presented in Section 2.
Section 3 presents the results and in Section 4, the conclusions are presented. Finally,
the limitations and future research are discussed in Section 5.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Research Method</title>
      <p>
        In this exploratory research work, we reviewed our previous work [4, 10{14] to
comprehend and analyze the future challenges and opportunities associated with
the use of open data and sensor data as educational resources. Previously, we
discussed open data and sensor data usage in separate studies [
        <xref ref-type="bibr" rid="ref10 ref11 ref14 ref4">4, 10, 11, 14</xref>
        ],
identifying the bene ts and existing challenges of open data and sensor data usage in
school education, as well as proposing solutions to these challenges. In this study,
however, we analyzed the overall data collected (in close collaboration with both
teachers and students) in previous research studies to identify future challenges
and perspectives for both open data and sensor data in school education. The
overall data (collected in previous research studies) were categorized into three
broad categories: future opportunities associated with the use of open data and
sensor data in an educational context, challenges in using open and sensor data,
and initiatives to reap the bene ts of open data and sensor data in education.
Table 1 provides a summary of the participants and research methods used in
our previous research studies.
2. Identifying future challenges and opportunities for the use of open data in
education.
3. Proposing initiatives to mitigate the barriers to the use of open and sensor
data in education.
      </p>
      <p>In the following section, the research results are brie y discussed.
3</p>
    </sec>
    <sec id="sec-3">
      <title>Results</title>
      <p>In this section, the main ndings are discussed under the following categories:
1. Future opportunities for open data and sensor data use in an educational
context
2. Challenges in using open and sensor data in education
3. Initiative to reap the bene ts of open data and sensor data in education
3.1</p>
      <sec id="sec-3-1">
        <title>Future opportunities for open data and sensor data in an educational context</title>
        <p>
          Many institutions have already recognized the importance of involving schools
and higher education institutions in open data research [
          <xref ref-type="bibr" rid="ref15 ref16">15, 16</xref>
          ]. Open data are
an excellent resource for gaining hands-on experience with techniques and tools
for searching, cleaning, and organizing data, whether by hand or with computers
[
          <xref ref-type="bibr" rid="ref17 ref18">17, 18</xref>
          ]. Open data also impact subject learning, the development of digital and
data skills, and even student motivation to learn by relating the subject to
the student's environment. For example, Discover Kells3 uses open data from
the National Monuments Service and the National Inventory of Architectural
Heritage of Ireland and provides information about national monuments and
historical buildings. These datasets can be used in history topics to make them
more interesting.
        </p>
        <p>
          However, to reap the full bene ts of open data, governments or educational
administrators must also be involved in incorporating educational open data
directly into educational plans. For example, secondary education plans could
involve an introduction to basic data principles, such as structures, formats, and
analysis. These kinds of measures are critical if we want to encourage students
towards more active learning using open data. Norway4 and the United Kingdom
[
          <xref ref-type="bibr" rid="ref18">18</xref>
          ] have already launched projects with a particular focus on data literacy in
elementary schools with positive results. However, when working with publicly
available datasets, consideration should also be given to data privacy and ethical
use [
          <xref ref-type="bibr" rid="ref19">19</xref>
          ].
        </p>
        <p>
          Sensors, on the other hand, can be useful in understanding the concept of
open data. For example, students can collect pollution data near a railway
station using sensors and compare them to available open data. This allows the
3 https://data.gov.ie/showcase/discover-kells
4 https://site.uit.no/opendatainteaching/
students to understand how data are generated and what factors may in uence
the data collection process if there are di erences between the sensor data and
the open data. These types of activities expose students to real-time data
collection activities outside the classroom [
          <xref ref-type="bibr" rid="ref20">20</xref>
          ]. They can better understand sensor
data when it is collected in real-time and generally small in size. Using open data
as an educational resource provides students a better sense of their
surroundings, cities, and country. Sensor data, such as classroom temperature, humidity,
pollution level, noise level, etc., can be shared with other schools by uploading
them to a common platform.
        </p>
        <p>Students can also compare their school data with those of other schools
rather than with those of their immediate surroundings or cities. For example,
they can re ect on why their school's noise or pollution levels are higher than
those of other schools. Students may develop a wide range of skills through these
activities, ranging from the use of complex technologies and the ability to analyze
and argue to the development of vital skills, such as teamwork, critical thinking,
and discussion. Figure 1 shows how sensor data relate to educationally relevant
open datasets and existing national open datasets.</p>
        <p>Figure 1 represents how educationally relevant open datasets, for example,
can be identi ed and selected for use in education as part of school subjects.
Simultaneously, using sensors, some educationally relevant datasets can be
collected locally (in school surroundings) and made available to other schools via a
common educational open data platform. They can gain a better understanding
of the concepts of open and private data. For example, sharing collected data
with others or avoid exposing data to others in certain activities.</p>
        <p>Without systematic planning, integrating open data as an educational
resource will not yield the desired results. Systematic planning may include teacher
training, access to additional resources, such as sensors in schools, and a shift
from the traditional teaching methods toward more collaborative and
problembased learning methods at the school level. A common platform that could
relate relevant educational open datasets to school subjects and allows students to
share data collected during various educational activities using sensors or other
technologies within or outside school could also be bene cial. These tasks will not
only bene t teachers and students but will also enhance learning environments
and citizen science.
3.2</p>
      </sec>
      <sec id="sec-3-2">
        <title>Challenges in using open and sensor data in education</title>
        <p>
          In this section, we will discuss the future challenges (that still need to be
addressed) that may in uence the use of open data and sensor data in educational
activities. Generally, open data research is concerned with the data type, quality,
structure, and design of real-time applications to access and publish datasets.
However, there has been less emphasis on developing tools or applications that
can make these datasets more accessible and usable for students [
          <xref ref-type="bibr" rid="ref22">22</xref>
          ]. Access
to relevant educational datasets as an educational resource has been identi ed
as a major challenge in previous studies [
          <xref ref-type="bibr" rid="ref13">13</xref>
          ]. This issue still needs to be
addressed at the national level in the future. A national educational open data
portal that not only provides access to relevant educational datasets from
various cities but also visualizes these datasets in the form of interactive graphs,
could bene t teaching and learning processes in a broader sense. Di erent cities
publish di erent themes of open datasets based on their geographical and
demographic backgrounds that can be useful in an educational setting. For instance,
has di erent datasets themes based on its historical background, location, and
population. For example, Copenhagen, the largest city with the highest
population, mostly has datasets about tra c, the environment, noise, etc., whereas
Vejle has also datasets about oods due to its location, as well as other datasets
such as education 5. This information of di erent cities could also be interesting
for students both for quantitative and comparative studies.
        </p>
        <p>
          With access to educational relevant datasets of di erent cities, students can
further learn how the demands and services of cities can vary depending on their
population and geographical location. In an educational setting, applications
that allow students to access, use, and share their own data (collected during
various educational activities) are also required. Previous studies have also shown
that it is critical for students to have access to up-to-date datasets when working
with real-world datasets [
          <xref ref-type="bibr" rid="ref13">13</xref>
          ] and this issue must also be addressed in future
studies.
        </p>
        <p>Another challenge that could a ect the successful use of open data and
sensor data is teachers' motivation, instructional design, and training. One possible
solution to motivate teachers could be sharing success stories through national
educational open data platforms. Awareness can also be spread by setting up
small competitions based on data. These would not only involve students but
also motivate teachers to learn more about data-related activities. The associated
learning skills are not achieved simply by using open data in school teaching;
they are also dependent on how open data is used pedagogically, and this
requires revision in schools' curriculum strategies. When working with data and
technology, ethical, privacy, ownership, and legal considerations need to be
reviewed, such as copyright, authorship, and content. It is also important to teach
students about the ethical use of data when they publish on common platforms
(i.e., use correct information).
3.3</p>
        <p>Initiative to reap the bene ts of open data and sensor data in
education
The following measures must be implemented in the future to reap the maximum
educational bene ts from open data and sensor data use in the educational
domain.
1. Providing schools with access to relevant up-to-date educational data
2. Providing schools with access to curricula-compatible sensors and technology
in an educational context
3. Developing a national educational open data platform that provides access to
existing relevant educational datasets and allows the educational community
to share their experiences and publish data collected through educational
activities
4. Training and awareness programs for teachers
5. Involvement of government or educational administration in open data
initiatives
5 https://www.opendata.dk/</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Conclusion</title>
      <p>With the introduction of technology in schools and a push for more accessible
government data, there are many opportunities for better data collection and
analysis in education. One way to assist students in developing digital and data
skills is the use of open data in the classroom as an instructional resource. The
literacy of these skills has become vital in the early stages (e.g., secondary school)
of education to build a strong, informed, and talented workforce that is ready
to face future challenges and opportunities.</p>
      <p>The availability of open data has many associated opportunities from not
only a technical or governmental perspective, such as improving public services
and bringing transparency to government policies but also from the educational
perspective, such as using open data as an open resource to help students learn
essential future skills and provide a learning environment that allows students
to relate their subjects with their immediate surroundings. Open data and
sensor data also provide students with information that, in some cases, requires
signi cant time and e ort to accomplish a task or draw a conclusion.
5</p>
    </sec>
    <sec id="sec-5">
      <title>Limitations and future research</title>
      <p>The results presented in this research study are limited to schools (teachers and
students as participants) in Denmark. However, it provides the educational
community an overview of the possibilities, opportunities, and challenges in using
open data and sensor data in educational activities. To fully exploit the bene ts
of open data and sensor data, research is needed to discover ways to successfully
integrate open data and sensor data in curricula and develop a common platform
that allows the teaching community to share their success stories and upload the
results of data collection educational activities for others. The organization of
seminars or courses is also required to increase the awareness of and motivation
toward the use of open data among teachers. Lastly, there is a need for
government or administrative involvement in successfully integrating open data into
the school system.</p>
      <p>The value of open data and sensor data in the learning process has not
been su ciently investigated to date; therefore, more investigations are needed
to reap the full bene ts of open data and sensor data in future research. To
successfully integrate open data and sensor data learning into schools and gain
the full advantage of open data opportunities, the initiatives and challenges
discussed above need to be addressed.</p>
    </sec>
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