Report: Untitled
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by 2195819 @slu.edu.ph
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83
5 min 54 sec
11 min 21 sec
characters
words
sentences
reading
time
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time
Score
86
Writing Issues
62
Issues left
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Critical
47
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Report was generated on Wednesday, Apr 26, 2023, 01:32 AM
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Report: Untitled
Writing Issues
22
Correctness
1
Confused words
1
Text inconsistencies
6
Determiner use (a/an/the/this, etc.)
2
Punctuation in compound/complex
sentences
1
Faulty subject-verb agreement
1
Wrong or missing prepositions
2
Conjunction use
1
Comma misuse within clauses
1
Incorrect citation format
1
Misplaced words or phrases
1
Improper formatting
1
Incomplete sentences
3
Incorrect verb forms
35
Clarity
18
Passive voice misuse
11
Wordy sentences
4
Unclear sentences
2
Intricate text
3
Delivery
1
Inappropriate colloquialisms
2
Tone suggestions
2
Engagement
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Word choice
Unique Words
33%
Measures vocabulary diversity by calculating the
percentage of words used only once in your
document
unique words
Rare Words
36%
Measures depth of vocabulary by identifying words
that are not among the 5,000 most common English
words.
rare words
Word Length
5.5
Measures average word length
characters per word
Sentence Length
17.8
Measures average sentence length
words per sentence
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LabLove: A Recommender System for Laboratory Subjects in SLU using
Performance-based Algorithm
Background of the Study
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Recommender systems have been used to improve learners' experience. It has
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been used to properly manage learning resources in Morocco (Souabi et al.,
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2021). Nationally, it has also been used to manage instructional resources with
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the use of collaborative filtering technology (Li, 2022).
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However, In a previous research conducted by the researchers of this paper,
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have found that not all students are in favor of agreeing that laboratory
subjects they took are educationally effective in their teaching strategy. Thus
there is a need to improve the teaching strategies of laboratory subjects.
However, to combat the educational deficiency of the students, the ECE faculty
conducts the SLU SEA-ECE Advising Program. The Advising Program is usually
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accomplished professors meeting students every term and offering advice to
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3
students that are academically failing. This is only effective when a student’s
grade is already available at the portal, and the development of classroom
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interaction can be attributed to strengthening and increasing student learning.
So, to aid the professors of SLU in addressing the educational deficiency,
particularly in the Laboratory Subjects field, there is a need for a tool that can
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automatically assess the grade of the class when it is already available.
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Objective of the Study
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This study is therefore undertaken to prove that an portal-integrated
recommender system using Performance-based Algorithm is a good and
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19
helpful system and in improving classroom conduct of Laboratory Subjects in
SLU.
Proposed Project
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The recommender system is developed as an integrated tool to the SLU Portal
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capable of displaying a notification, as well as generating a document page of
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the recommended action pertaining to the improvement of the classroom
conduct by implementing a Performance-based Filtering approach.
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The Performance-based filtering is based on the correlation between the grade
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of the students and the teaching style being practiced. The tool itself is
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integrated as a separate tab in the SLU Portal.
At the Recommender tab page, the user (teacher) selects which of his/her
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classes he/she wishes to either generate a “class improvement
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3
3
recommendation” of, or update the “teaching style” profile for that particular
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class. In the teaching style option, the teacher will be inputting what teaching
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style was used at that current term. The recommendation would not be
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generated when no profile has been submitted. When the generate
recommendation option is selected, the Algorithm will read the grade of the
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current term and the previous term if available. The Algorithm will then decide
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if the teaching method is effective or not, and then recommend by indicating in
the generated document a teaching method to add, remove, or change.
References:
Souabi, S., Retbi, A., Idrissi, M. K., & Bennani, S. (2021). Recommendation
Systems on E-Learning and Social Learning: A Systematic Review. Electronic
Journal of e-Learning, 19(5), pp432-451.
https://doi.org/10.34190/ejel.19.5.2482
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Li, J. (2022). A Recommendation Model for College English Digital Teaching
Resources Using Collaborative Filtering and Few-Shot Learning Technology.
36
Computational Intelligence and Neuroscience, 2022, 1–10.
https://doi.org/10.1155/2022/1233057
3
“Investigating the Effectiveness of Simulators in Enhancing Student
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Engagement and Motivation in Learning Concepts and Theories”
Background of the Study
In science and engineering education, hands-on experiments play a very
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important role in providing students with practical experience as well as the
opportunity to apply theoretical concepts to real-world situations. However,
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there are a number of possible downsides to hands-on experiments. Some
include high materials and equipment costs, safety concerns, and limited
access to equipment. As such, with the advancement of technology, simulators
emerged and became a promising alternative to hands-on experiments.
Simulators offer a safe and cost-effective way to carry out experiments,
especially when there is a need for complex and limited equipment (Talan,
2021).
Depending on certain real-world situations, it has potential drawbacks. Some
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Simulators are not perfect as they only give the ideal results of an experiment,
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which means that they are not able to simulate exactly how things behave in
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the real world. Since the use of simulators is a different approach to
conducting experiments, it has a different level of engagement compared to
doing experiments hands-on (Olga, 2022). The level of engagement it offers
affects how motivated the students are in learning concepts and theories.
3
These drawbacks are directly related to the student’s academic performance.
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Objective of the Study
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To examine the level of engagement that simulators offer compared to hands3
on experiments and how this affects students' motivation to learn concepts
and theories.
Proposed Project
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Simulators play a crucial role in Electronics Engineering, providing benefits
such as design and testing, training and education, and cost savings. However,
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there is limited research on the engagement of simulation education in this
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program. To address this gap, our proposed project involves a) designing and
conducting a controlled experiment in a classroom setting, where two groups of
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students will be exposed to either a hands-on experiment or a simulator for the
48
same concept. This allows for a direct comparison between the two methods
and provides quantitative data that can inform best practices in teaching; b)
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use a pre-test and post-test design to measure the level of engagement and
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motivation of students in both groups. The pre-test will be given before the
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experiment or simulation, and the post-test will be given after the activity.
These tests will serve as measuring device to see the changes in student
engagement and motivation, control for individual differences, provides
quantitative data, enhances validity and reliability, and supports evidencebased recommendations for educators and instructors; and lastly, c)
administer a survey to the students to collect their feedback on their
experience with the experiment or simulation and to gauge their motivation to
learn the concept. The survey shall provide valuable qualitative data, allows the
gathering of opinions and perceptions, enhances validity and reliability, informs
best practices, and supports a student-centered approach to teaching.
References:
Simulation-based learning in Higher Education: A meta-analysis. (n.d.).
Retrieved April 22,
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2023, from https://journals.sagepub.com/doi/10.3102/0034654320933544
Talan, T. (2020, November 30). The effect of simulation technique on academic
achievement: A
meta-analysis study. International Journal of Technology in Education and
Science.
Retrieved April 22, 2023, from https://eric.ed.gov/?id=EJ1286535
3
"Simulation-Based Design Optimization of Power Electronics Systems:
Development of a Prototype and Performance Evaluation"
3
Background of the Study
Simulation-based design optimization of power electronics systems is a topic
that has gained increasing attention in recent years due to the demand for
efficient and reliable power electronics systems in various applications. In this
research, the authors aimed to develop a prototype of a simulation-based
design optimization tool for power electronics systems and evaluate its
performance.
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To start, according to Li et al. (2018) presented a simulation-based design
optimization approach for a high-power density DC-DC converter using a hybrid
genetic algorithm and response surface methodology. The results showed that
the optimized design achieved a higher power density and lower losses than
the initial design. In another research by Yang et al. (2019), a simulation-based
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design optimization framework was proposed for a grid-connected inverter
system with an LCL filter. The authors used a surrogate model based on
artificial neural networks and genetic algorithms for optimization. The results
demonstrated the effectiveness of the proposed methodology in improving
efficiency and reducing the cost of the system.
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Objective of the Study
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This study would entail the creation of a simulation-based optimization tool for
developing and assessing power electronics systems. The device would employ
simulation models to produce and evaluate design options and improve system
performance based on pre-defined objectives like efficiency, power density,
and thermal management. The research might include constructing and testing
the enhanced design of a physical power electronics system to assess its
performance and compare it to standard design methodologies.
Proposed Project
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The operation can be divided into 5 steps, which can be summarized as:
58,59
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Develop simulation models, Define objectives and constraints, Run
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simulations, Prototype development, Performance evaluation.
The first step would be to develop models that accurately represent the
behavior of the power electronics system under various operating conditions;
The next step would be to define the goals and conditions for the design
optimization; The simulation-based optimization tool then generates and
evaluates multiple design alternatives based on the defined objectives and
constraints. The device would use genetic or particle swarm optimization
algorithms to search the design space and efficiently identify optimal
solutions; After identifying an optimized design, the power electronics system
prototype will be developed based on the simulation results; The final step
3
would involve evaluating the prototype's performance and comparing it with
traditional design approaches. The performance evaluation could include
measurements of efficiency, power density, thermal performance, and other
relevant metrics.
References:
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Design of a high power density DC-DC converter | IEEE conference ... (n.d.).
Retrieved April 20,
2023, from https://ieeexplore.ieee.org/document/9479002
Wu, F., Sun, Z., Xu, W., Li, Z., & Lyu, J. (2021, December 16). A control
parameters design
method with multi-constrains for an LCL-filtered grid-connected inverter in a
weak grid.
Retrieved April 20, 2023, from
https://www.frontiersin.org/articles/10.3389/fenrg.2021.798793/full
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1.
using → Using
Confused words
Correctness
2.
been used
Passive voice misuse
Clarity
3.
learners'; student’s; “; ” ; “; ”; students';
"; " ; prototype's
Text inconsistencies
Correctness
4.
been used
Passive voice misuse
Clarity
5.
to manage learning resources in Morocco
properly
Inappropriate colloquialisms
Delivery
6.
been used
Passive voice misuse
Clarity
7.
with the use of → using
Wordy sentences
Clarity
8.
a previous
Determiner use
(a/an/the/this, etc.)
Correctness
9.
paper,
Punctuation in
compound/complex
sentences
Correctness
10.
have → has
Faulty subject-verb
agreement
Correctness
11.
by professors
Wrong or missing prepositions
Correctness
12.
The Advising Program is usually
accomplished professors meeting
students every term and offering advice
to students that are academically failing.
Unclear sentences
Clarity
13.
This
Intricate text
Clarity
14.
be attributed
Passive voice misuse
Clarity
15.
grade of the class → class grade
Wordy sentences
Clarity
16.
The objective
Determiner use
(a/an/the/this, etc.)
Correctness
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17.
is therefore undertaken
Passive voice misuse
Clarity
18.
a portal-integrated
Determiner use
(a/an/the/this, etc.)
Correctness
19.
and
Conjunction use
Correctness
20.
is developed
Passive voice misuse
Clarity
21.
pertaining to → about, of, on
Wordy sentences
Clarity
22.
The recommender system is developed as
an integrated tool to the SLU Portal
capable of displaying a notification, as
well as generating a document page of
the recommended action pertaining to
the improvement of the classroom
conduct by implementing a Performancebased Filtering approach.
Unclear sentences
Clarity
23.
The Performance-based
Determiner use
(a/an/the/this, etc.)
Correctness
24.
is based
Passive voice misuse
Clarity
25.
students' grade
Wordy sentences
Clarity
26.
being practiced
Passive voice misuse
Clarity
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is integrated
Passive voice misuse
Clarity
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of,
Comma misuse within clauses
Correctness
29.
be inputting → input
Wordy sentences
Clarity
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was used
Passive voice misuse
Clarity
31.
be generated
Passive voice misuse
Clarity
32.
been submitted
Passive voice misuse
Clarity
33.
previous → last
Word choice
Engagement
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34.
When the generate recommendation
option is selected, the Algorithm will read
the grade of the current term and the
previous term if available.
Unclear sentences
Clarity
35.
not,
Punctuation in
compound/complex
sentences
Correctness
Incorrect citation format
Correctness
36.
37.
a very important →
a vital, a significant, a critical, a crucial
Word choice
Engagement
38.
as well as → and
Wordy sentences
Clarity
39.
a number of → several, some, many
Wordy sentences
Clarity
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are not able to → cannot
Wordy sentences
Clarity
Tone suggestions
Delivery
41.
42.
the use of → using
Wordy sentences
Clarity
43.
The objective
Determiner use
(a/an/the/this, etc.)
Correctness
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play a crucial role → are crucial
Wordy sentences
Clarity
Tone suggestions
Delivery
45.
46.
To address this gap
Misplaced words or phrases
Correctness
47.
be exposed
Passive voice misuse
Clarity
48.
This
Intricate text
Clarity
49.
This allows for a direct comparison
between the two methods and provides
quantitative data that can inform best
practices in teaching; b) use a pre-test
and post-test design to measure the level
Unclear sentences
Clarity
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of engagement and motivation of
students in both groups.
50.
be given
Passive voice misuse
Clarity
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be given
Passive voice misuse
Clarity
52.
according to
Wordy sentences
Clarity
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was proposed
Passive voice misuse
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54.
The objective
Determiner use
(a/an/the/this, etc.)
Correctness
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be divided
Passive voice misuse
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5 → five
Improper formatting
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be summarized
Passive voice misuse
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follows: Develop
Incomplete sentences
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Develop → Developing
Incorrect verb forms
Correctness
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Define → Defining
Incorrect verb forms
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Run → Running
Incorrect verb forms
Correctness
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and Performance
Conjunction use
Correctness
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