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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Analysis of the mathematical Errors of first cycle students of the National University of Piura</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Vel´asquez</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>F. M.</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>S´anchez</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>J. R.</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jim´enez</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>J. L.</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>National University of Piura</institution>
          ,
          <addr-line>Urb. Miraflores S/N Castilla, 20002 Piura</addr-line>
          ,
          <country country="PE">Peru</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>National University of Piura</institution>
          ,
          <addr-line>Urb. Miraflores S/N Castilla, 20002 Piura</addr-line>
          ,
          <country country="PE">Peru</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University Saint Peter</institution>
          ,
          <addr-line>Av. Francisco Bolognesi 770, 02801 Chimbote, Peru roberto 197</addr-line>
        </aff>
      </contrib-group>
      <abstract>
        <p>University higher education is not exempt from the manifestation of mathematical errors in learning. The study is non-experimental, descriptive and intended to analyze the mathematical mistakes made by 80 university students of the first cycle of the National University of Piura in the 2014-II and 2015-I semester. The results show a high percentage of errors in cognitive processes in terms of operations: with complex numbers, linear and quadratic equations, with polynomial expressions; translations of the graphic representation of the real line and representation of everyday language in formal language; revealing that most commit themselves due to absences and inaccuracies in the construction of prior knowledge, for not understanding the semantics of mathematical concepts. It is noted that 50% of the students obtained a grade less than or equal to 7.78.</p>
      </abstract>
      <kwd-group>
        <kwd>Education</kwd>
        <kwd>Mathematical error</kwd>
        <kwd>Cognitive process</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Rousseau, David and Werner cited by [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], point out four ways in which the error
may arise: the result of great inadequate conceptions of fundamental aspects
of mathematics; result of the correct and credible application of an identifiable
systematized imperfect procedure; for using imperfect procedures and having
inappropriate conceptions; Finally, by using original non-formal methods invented
by the teacher to carry out the tasks and solve problems.
      </p>
      <p>
        However, as stated by [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], most researchers and specialists agree to consider
as general characteristics of the mistakes made by students: errors arise
spontaneously in class or much earlier, which surprises the teacher; they are also
persistent, particular and difficult to overcome because they require a reorganization
of the knowledge of the individual; Students are not aware of the error, because
they do not question what seems obvious and do not consider the meaning of the
concepts, rules or symbols with which they work. Some errors are even generated
in the student’s understanding or processing of the information provided by the
teacher.
      </p>
      <p>
        According to [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ], identify the mistakes made by students in a partial exam,
then analyze from the perspective of the different records of semiotic
representation and also notice a strong regularity in their production. They largely consider
that errors come from insufficient work with different records of representations
of a mathematical object.
      </p>
      <p>
        Also, [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] presented a broader approach to the possibilities of using error
analysis in learning-teaching processes, considers that errors are analyzed with
two fundamental objectives: eliminate them or explore their potential.
      </p>
      <p>
        Although the error may have different origins, researchers have established
several categories for the mathematical errors that students make, such as those
proposed by [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] where he observed binary reversals, errors induced by language
or notation, errors when recovering a scheme above, errors produced by improper
representation and rules that produce erroneous criteria. While [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] offers the
following taxonomy of errors due to: language difficulties; difficulties in obtaining
spatial information; poor learning of facts, skills and previous concepts;
incorrect associations or rigidity of thought; out of perseverance; of association; of
interference; assimilation; of negative transfer of previous tasks and due to the
application of irrelevant rules or strategies.
      </p>
      <p>
        On the other hand, [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] makes an empirical classification of errors based on a
constructive analysis of student solutions by experts. It proposes six categories:
misused data; incorrect interpretation of language; logically invalid inferences;
deformed theorems or definitions; lack of verification in the solution and technical
errors.
      </p>
      <p>Generally it tends to be considered as the presence of an inadequate
cognitive scheme in students and not only as a result of a specific lack of knowledge.
Errors do not appear by chance, but arise in a coherent conceptual framework,
based on previously acquired knowledge and any instructional process is
potentially error-generating, due to different causes, some of which inevitably occur.
It should also be taken into account that students’ opportunities to learn
Mathematics depend on the environment, the type of tasks and the discourse in which
they participate, depending on what they learn from how they participate in
mathematical activities, without neglecting the attitudes they have towards this
science</p>
      <p>When we talk about mathematical learning, we talk about acquiring new
knowledge, often based on previous knowledge. Mathematics has a compulsory
curricular space in Regular Basic Education and is present at least in the first
year of studies in university higher education, according to the curriculum of the
faculties of the National University of Piura.</p>
      <p>In the case of the National University of Piura, it is evident that the mistakes
made by the students influence the learning of the contents programmed in
the respective general training courses in Mathematics, observing significant
percentages of withdrawn, disapproved or with a regular final average, that is,
eleven and twelve in the twentieth evaluation system. Therefore, mathematical
errors are a constant concern for teachers of the Department of Mathematics of
the National University of Piura, given the results obtained at the end of the
cycle in the promotional records.</p>
      <p>In this reflection on the learning of the students of the first one it has been
observed: low scores in the objective test of access to the National University
of Piura in recent years; not all vacancies offered are filled; as well as a marked
heterogeneity among the students of different educational centers in our region.
On the other hand, high failure rates and withdrawals in courses in the area
of Mathematics that require algebraic processes and an attitude of rejection
towards Mathematics courses for not finding a relationship with their professional
development. Also, in the programmed academic activities repetitive
mathematical errors, a sign of the serious deficiencies they have in their learning in the
regular basic education stage, although some consider them lack of study or
attention by the various distractors.</p>
      <p>These complications in student learning seem to be related to a series of
weaknesses in the understanding of concepts and in the way of focusing on
Algebra and Arithmetic, which immediately result in an erroneous way of treating
their learning. In most cases, students memorize without understanding the rules
and calculation procedures and apply them automatically, which leads them to
make the same mistakes persistently.</p>
      <p>
        If we, as teachers, want to achieve high levels of meaningful learning with
our students, we must be very careful to help them recognize and correct their
mistakes in their learning [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ].
      </p>
      <p>Due to the above, the following research question is asked: What types of
mathematical mistakes do students make in the mathematics area courses of the
first year of study?</p>
      <p>In this work they have proposed as a general objective: to analyze the
mathematical mistakes made by the students who enter the professional schools of
Zootechnics (2014- II), Statistics (2015-I) and Accounting and Financial
Sciences (2015-I-PROEDUNP Paita) in learning the mathematics of the first cycle
of studies at the National University of Piura. This analysis leads us to identify,
understand their cognitive processes and interpret their mistakes, to
categorize them: due to the non-identification of the semantics of the mathematical
fact; due to incorrect deductions or associations; due to the recovery of previous
knowledge; due to occasional erroneous or accidental calculations due to
inaccuracies in the construction of prior knowledge and due to lack of prior knowledge.
To develop the work, the survey has been used as a method of data collection,
creating a specific performance questionnaire. The data collected were analyzed
descriptively according to the response given for classification according to the
typology suggested by Marcel Pochulu. Subsequently, the results obtained will be
contrasted with other research papers, to establish conclusions and suggestions
for future research work.</p>
    </sec>
    <sec id="sec-2">
      <title>Desing</title>
      <sec id="sec-2-1">
        <title>Methodology</title>
        <p>The research work is substantive, because it intends to analyze the mistakes that
students make in Mathematics courses during the year studies at the National
University of Piura. The research design that corresponds to the study carried
out is non-experimental, descriptive and is located in the line of error analysis.
Likewise, the study developed was of a transversal nature, since the application
of the instrument that allowed the collection of the corresponding information
was carried out in a single moment.
2.2</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Sample</title>
      <p>The total sample selected was 80 non-probabilistically selected students,
composed of the students who attended the courses on the first day of school:
Mathematics I (group 12, section 2-semester II-2014, twenty-two students of
the twenty-two enrolled) opened by the professional school of Zootechnics and
Veterinary Medicine of the Faculty of Zootechnics; Mathematics I
(PROEDUNPPaita, semester I-2015, thirty-one students of the forty-four enrolled) opened by
the professional school of the Faculty of Accounting and Financial Sciences; as
well as, Mathematical analysis I (group 02, section 3, semester I-2015,
twentyseven thirty-year-old students).
3</p>
      <sec id="sec-3-1">
        <title>Instruments</title>
        <p>In the first phase, regular basic education teachers were interviewed, who were in
the Mathematics specialization program aimed at secondary level teachers
(Convention No. 105-2012-2014-MINEDU-UNP), to provide information on mistakes
they observe in their students in regular basic education. In a second phase,
university professors were asked to teach first-year courses of the Department of
Mathematics through an informal interview that will indicate that mathematical
errors indicated by regular basic education teachers had observed in university
students in the first year of studies and wondered if they did something to correct
the mistakes presented by the students.</p>
        <p>In view of the above, the instrument was structured as follows: Item I:
arithmetic operations with complex numbers, with a total of twenty-one sub items;
Item II: First degree equations with one variable, with a total of three sub
items; Point III: operations with polynomials, with a total of 9 subpoints; Item
IV: change of semiotic record, with a sub-item; Item V: second degree equations
with a variable, with a sub-item; Item VI: equation, with a sub-item.</p>
        <p>In each of the items, students were asked to solve each sub-item by developing
the complete operating procedure to respond. The objective in the performance
questionnaire was to identify the mistakes that students make and analyze their
cognitive processes and be able to perform the respective categorization of errors.</p>
        <p>The respect for the reliability of the items of the instrument was applied
using two techniques to present dichotomous responses: Kuder and Richardson
20 obtaining 0.876 and Cronbach’s alpha with 0.869; being highly reliable and
reliable respectively.</p>
        <p>The validation of the instrument was confirmed, in reference to the
congruence of the items, the breadth of the content, the wording of the items, the
clarity, precision and relevance, the evaluation of excellent, given by the
evaluating specialist.
4</p>
      </sec>
      <sec id="sec-3-2">
        <title>Results</title>
        <p>The data collected in the performance test were according to the typological
description of the errors proposed by Marcel Pochulu:</p>
        <p>The results show us that in the items in which arithmetic treatments are
requested from students, the typological errors that occur most frequently are:
due to inaccuracies in the construction of prior knowledge with 16.55% and due
to lack of prior knowledge with a 17.69%.</p>
        <p>The results show us that in the items in which students are requested
algebraic treatments, the typological errors that occur most frequently are: due
to the non-identification of the semantics of the mathematical fact with 14.06%
and due to lack of prior knowledge with 18.54%.</p>
        <p>We can observe in table 1 that the type of error that has the highest
incidence is the absence of prior knowledge with a percentage arithmetic average
of 21.85% and possible errors due to inaccuracies in the construction of prior
knowledge with a percentage average of 12.57% and the one with the lowest
incidence percentage is due to erroneous or accidental calculations with an average
percentage of 1.77%.
5</p>
      </sec>
      <sec id="sec-3-3">
        <title>Discussion</title>
        <p>Next we discuss the results obtained against other research works of the same
nature:</p>
        <p>
          Regarding the research work of [
          <xref ref-type="bibr" rid="ref3">3</xref>
          ] titled: Errors and difficulties of Mexican
students of first university course in the resolution of algebraic tasks executed
at the University of Granada, similarities have been found regarding the
technological tests of scientific cutting careers that we can demonstrate that schools
Zootechnical professionals with 7.5259 and 10.4944, the professional school of
Statistics obtained an average of disapproval, when these schools were expected
to perform better. In both research papers, it is concluded that students present
errors in their Mathematics training in the previous levels of studies.
        </p>
        <p>
          On the research work of [
          <xref ref-type="bibr" rid="ref12">12</xref>
          ], the mathematical analysis of an algebraic error
in students and professors, executed at the Universidad Panamericana Campus
Guadalajara-Mexico, can be observed that there are similar results because the
students presented several erroneous cognitive processes that require different
strategies to be overcome. The university professors of the National University
of Piura do not pay interest to the mistakes made by the students and do not
give them help to overcome these errors, which can be reflected in a significant
percentage of disapproved and withdrawn in the promotional records.
        </p>
        <p>
          On the research work of [
          <xref ref-type="bibr" rid="ref8">8</xref>
          ], Errors and difficulties in Mathematics: Analysis
of causes and work suggestions. National University of Villa Mar´ıa. Buenos Aires
- Argentina, the same conclusions have been reached that the errors are persistent
from the previous levels of training and that from the total number of students
who participated in the study, they made some type of error in the resolution of
the elements of the instrument . research.
        </p>
        <p>
          It should be noted that regarding the research work of [
          <xref ref-type="bibr" rid="ref11">11</xref>
          ] entitled:
Recurring errors in the learning of linear algebra and semiotic representation records
executed at the University of Buenos Aires-Argentina. We were able to verify
through the instrument and its answers provided by the students the statement
of the researcher, who warns that students have errors that come from
insufficient work with different records of representations: verbal, numerical, algebraic,
graphic, among others. As for example we can show it in item IV with 85%
of the total indica sample that I did not know when I could not interpret the
graph, take it to algebraic and numerical, even in item VI where students could
not pass the Written verbal representation to the algebraic representation with
58.75% and 40.00% only partially resolved.
6
        </p>
      </sec>
      <sec id="sec-3-4">
        <title>Conclusions</title>
        <p>A group of teachers from the area of Mathematics of Regular Basic Education
of the Department of Piura selected by the Ministry of Education were asked
to receive a second specialization. What types of mathematical errors had the
students of the last level made frequent¿ With this information, the instrument
was designed to identify the common mathematical errors committed by
students when performing arithmetic operations in the field of complex numbers,
first degree and second degree equations, as well as situations that required a
change in semiotic registration. Subsequently, the question was asked of the
university professors of the Department of Mathematics of the National University
of Piura. Do incoming students make mathematical mistakes in their
development of activities programmed in the first year Mathematics courses?, they said
yes, but that do nothing to correct these errors. The evaluation instrument was
applied to identify the mathematical errors to the selected university students,
and their answers revealing that the students manifest some type of error in
their cognitive processes in 78.15% or absence of previous knowledge in 21.85%
on average. It was even verified that students show errors or lack of knowledge
when going from one semiotic record to another.</p>
        <p>The items of the assessment instrument are previous knowledge required for
the construction of new mathematical knowledge in the courses programmed in
the first year of university studies and if we consider the evaluation obtained from
the students in the vigesimal scale of their procedures they obtained an average
grade of 8.75, which would imply that the mistakes made by the students are
the persistence of their training in the EBR.</p>
        <p>
          There are also correspondences with the conceptions stipulated by Brousseau,
David and Werner that were cited by [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ]. They point to four types of errors,
through which the error appeared in the students’ cognitive processes due to an
imperfect systematized procedure and inappropriate conceptions, which cannot
easily identify the teacher. While Rico (1995) argues that systematic errors are
the result of inadequate conceptions of Mathematics, recognizable or not
recognizable by the teacher. It was also possible to confirm that there are random
or occasional errors, as [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ] points out; The errors due to incorrect or accidental
calculations were made in a smaller percentage since the development of the
items was brief. Based on the foregoing, it is clear that the students show
persistence of errors of their regular basic education, which were not overcome in
their school education by not taking them due importance, they even manifest
and persist in their university academic training evidenced by the results At the
end of the semester, the significant percentage of failure and / or withdrawal in
the Mathematics courses of the first year of studies provided by the
Mathematical Academic Department is worrying, even that in approved students there are
errors that continue to persist, but in a smaller percentage.
        </p>
        <p>Students must receive a quality education, where the university professor can
establish methodological strategies that allow them to overcome the
mathematical errors that they comment on or remedy the absence of previous knowledge.
Also to provide students with a range of possibilities to overcome their own
deficiencies, thus achieving satisfactory learning in the area of Mathematics, also
finding the motivation and articulation of this science with their professional
training.</p>
        <p>This research opened the possibility of comparative studies on the mistakes
made by students entering professional careers in Science and Humanities of the
National University of Piura; also, the design of didactic strategies for
overcoming said Mathematical errors. The implementation of the zero cycle or the
accompaniment to the student is recommended according to their academic needs
after study.</p>
      </sec>
    </sec>
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