The document describes an active learning exercise that uses a hair dryer to teach students about the first law of thermodynamics for open systems. The exercise uses guided inquiry, where students are asked questions to prompt them to make predictions about how the hair dryer's outgoing air stream would be affected by changes to its parameters. Students then test their predictions and analyze the results. The goal is for students to develop a deeper qualitative understanding of thermodynamics concepts through active involvement in experimentation, rather than just passive observation or verification of theories through traditional labs.
An open problem in flow of fluids antonio valiente barderas, lucila méndez ch...eSAT Journals
Abstract
Experimental teaching is very important in education of engineering´ students. This activity promotes the interactivity and the participation of the students, propitiating that they acquire knowledge, skills, habits and attitudes. In this work we present an open problem of flow of fluids that is solved by experimentation, to help the students achieve meaningful learning in this subject.
Keywords: Empirical models, flow of fluids, problem solving, experimentation.
Enhancing the Retention of Lectured-Information for Higher Education Students...Dr. Amarjeet Singh
Note-taking is an important skill to be taught to the
learners so that it can be used as a tool for them to perceive
and retrieve the lectured information; especially during
Theory courses dealing with intense information. Keeping this
in mind I tailored my study which could examine whether
Note-Taking, Note-making and Note-reviewing can improve
the retention skills of my learners and whether these retention
skills can be later used by them to recall the retained–
information. I tried to measure these retention skills by using
customized retention tests to observe the resulted pattern. The
research question that guided my study was ―How efficiently
the Notes-Taking, Notes-Making and Notes-Reviewing can
improve the short term retention of lecture-information for
the learners in Higher Education at lower level of academic
program (Interior design) with respect to free recall, accuracy
and comprehension type of questions ?‖. This qualitative
research uses Primary data collected from 22 students.
Harmonious to some of the studies in the past, this study
reaffirmed the importance and vital impact of Notes taking
and reviewing on the short term retention of received
information. In addition a pattern was revealed that Notes
making enhances comprehension skills and notes reviewing
enhances accuracy skills.
An open problem in flow of fluids antonio valiente barderas, lucila méndez ch...eSAT Journals
Abstract
Experimental teaching is very important in education of engineering´ students. This activity promotes the interactivity and the participation of the students, propitiating that they acquire knowledge, skills, habits and attitudes. In this work we present an open problem of flow of fluids that is solved by experimentation, to help the students achieve meaningful learning in this subject.
Keywords: Empirical models, flow of fluids, problem solving, experimentation.
Enhancing the Retention of Lectured-Information for Higher Education Students...Dr. Amarjeet Singh
Note-taking is an important skill to be taught to the
learners so that it can be used as a tool for them to perceive
and retrieve the lectured information; especially during
Theory courses dealing with intense information. Keeping this
in mind I tailored my study which could examine whether
Note-Taking, Note-making and Note-reviewing can improve
the retention skills of my learners and whether these retention
skills can be later used by them to recall the retained–
information. I tried to measure these retention skills by using
customized retention tests to observe the resulted pattern. The
research question that guided my study was ―How efficiently
the Notes-Taking, Notes-Making and Notes-Reviewing can
improve the short term retention of lecture-information for
the learners in Higher Education at lower level of academic
program (Interior design) with respect to free recall, accuracy
and comprehension type of questions ?‖. This qualitative
research uses Primary data collected from 22 students.
Harmonious to some of the studies in the past, this study
reaffirmed the importance and vital impact of Notes taking
and reviewing on the short term retention of received
information. In addition a pattern was revealed that Notes
making enhances comprehension skills and notes reviewing
enhances accuracy skills.
The research aimed to develop a valid and practical Conceptual Change Texts (CCT) of Newtonian mechanics materials. The method used was educational research and development. The data were collected using questionnaires and expert validation sheets, as well as questionnaires and interviews with students. The design of the CCT was developed based on the conceptual change theory using the following format: situation, questions, space for answers and reasons, misconception forms, and correct concept explanations. There have been 21 developed units of the CCT distributed in four chapters, i.e. Basic Laws, Applications of the Basic Laws, Work and Energy, and Impulse and Momentum. The results of the data analysis revealed that the CCT had content, conformity with needs, language, presentation, and graphic feasibility levels of 70%, 40%, 80%, 90%, 87%, respectively to mean that the teaching materials were very valid. Based on the practicality test, the teaching materials were very practical, i.e. 87%. In other words, the Newtonian mechanics CCT was easy to read and understand and could be used to change misconceptions. Educators can use these supplement teaching materials in the Basic Physics courses in college and in mechanics topics in a high school.
INTRODUCTIONModule 3 Week 6 The Purpose StatementIn thiTatianaMajor22
INTRODUCTION
Module 3 Week 6: The Purpose Statement
In this course, you have learned that a final problem statement normally takes many months to develop. Yet this week, you are asked to begin to develop the purpose statement. This is not because your problem statement is finalized but because it is time for you to evaluate and practice creating the rest of the common components of the doctoral capstone. This is part of the iterative process of preparing the capstone.
Remember, though, that the assignments in this course are unlikely to be final versions of your study. The intention is to help you to understand and prepare for what you will need to write in your capstone.
The purpose statement serves as the connection between the problem being addressed and the focus of the study. Depending on the methodology, in:
· Quantitative studies, state what needs to be studied by describing two or more factors (variables) and a conjectured relationship between (among) them related to the identified gap in practice or problem;
· Qualitative studies, describe the need for increased understanding about the issue to be studied (based on the identified gap or problem); and
· Mixed-methods studies (with both quantitative and qualitative aspects), clarify how the two approaches will be used together to inform the study.
Notes on Readings
This week’s readings continue to provide information on how to review the research literature. Apply this guidance to your ongoing efforts to read and take notes interactively in the research relevant to your problem. The media and other resources, this week, will help you to develop your understanding of the purpose statement.
The reading in the Single text, this week, can help you to fine tune your system for scholarly reading and note taking via the use of your citation management software.
This week, Thomas provides detailed instructions about how to interact with, and review, the research literature. These skills are critical in your work on your doctorate.
Learning Objectives
Students will:
· Apply technological tools to find, analyze, and evaluate existing research
· Analyze purpose statements
· Apply knowledge of APA references
· Apply knowledge of doctoral study
Assignment: The Purpose and Problem Statements
Stephen King, who has written more than 50 novels—and other books that have sold hundreds of millions of copies—also wrote about how he writes. In his book, On Writing: A Memoir of the Craft, King explains that his iterative approach to writing involves writing, putting it aside, writing something else, and then returning to the first draft.
While it is unlikely you will adopt Stephen King’s ritual for draft versions, recognize that “writing drafts” are an essential part of the process. This week’s writing assignment allows you to present an improved and refined problem statement and an aligned purpose statement.
To Prepare
For this revision of your purpose and problem statements, apply what you have learn ...
ABSTRACT
Many engineering subjects are highly mathematical, analytical and descriptive. To make students understand the basic concepts, theory, analysis, design and application, new teaching-learning systems need to be explored. One of these is the Start-Stop-Continue technique. From the present study, it is concluded that given an ambient environment, the learning process can be made very effective and all the course objectives can be achieved. Action research has helped in empowering the students in acquiring knowledge. With this approach, the students’ performance has improved from mediocre to very
good.
Improving Students’ Learning With Effective Learning Techniques: Promising ...Fran Maciel
Authors: John Dunlosky1
, Katherine A. Rawson1
, Elizabeth J. Marsh2
, Mitchell J. Nathan3
, and Daniel T. Willingham4
1Department of Psychology, Kent State University; 2
Department of Psychology and Neuroscience, Duke University;
3
Department of Educational Psychology, Department of Curriculum & Instruction, and Department of Psychology,
University of Wisconsin–Madison; and 4
Department of Psychology, University of Virginia
Active learning techniques in engineering educationeSAT Journals
Abstract The current developments in technology and ideas have given entirely new dimensions to the field of research and education. New delivery methods are proposed which is an added feature to the engineering education. Particularly, more importance is given to new teaching practices such as Information and Communication Technologies (ICT). It is vital to adopt the new ICT methods which lead to emergence of novel structure and mode of education. The flipped classroom, think pair share and peer instruction are the latest pedagogical methods which gives students to learn the course. This involves students to watch video lectures outside the classroom and solve the problems at home. Students are engaged in group discussions in the classroom. These are the active learning methods where in student is involved diversely to learn the course. This paper gives a comprehensive study of past and present researches which is going on with flipped class room, thinks pair share activity and peer instruction. Keywords—Flipped classroom; Think pair share; Peer instruction; Active learning.
Running head: EDUCATIONAL RESEARCH 1
EDUCATIONAL RESEARCH 2
Translating Educational Research into Practice
Problem
For a long time, education research has not been able to impact classroom instructional practices and educational policies. Educational based researchers argue that their primary work is to research the various aspects of learning and teaching to then present their findings at various conferences and publishing them in different educational journals. Their busy schedule does not allow them to train practitioners (Powney & Watts, 2018). On the other hand, practitioners are busy concentrating on there, and they do not have time to review new literature. This brings up the question as to who is responsible for this gap. In the real sense, there should be a connection between the two, and both parties should play a role in bridging this gap.
Practices, Policies, and Procedures That Have Led to the Problem
There are various reasons for this persistent gap between the teaching practices that teachers use and the guidance that educational research provides. However, three of them stand out. They include the trustworthiness issue, teacher preparation issues, and the research practice issue. The trustworthiness issue comes in because much of the published educational research and disseminated to teachers, policymakers and researchers are often not good and of uneven quality. Research is incredibly demanding, and it is not always possible to choose the most appropriate methodological approach. It is essential that the methodology is applied rigorously whether it is for qualitative or quantitative research (Suter, 2012).
Teachers, on the other hand, want to provide quality education to their children. When they turn into research to aid in teaching, their main expectation is that the information they get is trustworthy. If the information is not trustworthy both the teacher and the student will fail terribly. The teachers also have to be prepared. The applicability and relevance of a research finding will be minimal if the administrators and teachers are unable to access the data, unable to develop strategies for implementing the research findings and do not understand or are unable to interpret the research findings in a meaningful and accurate manner (Fenwick, Edwards, & Sawchuk, 2012).
While teacher preparation and research trustworthiness play significant roles in determining the extent to which research informs instructional practices and educational policies, a fundamental problem is our inability to understand and identify an environment where the research findings can be applied in complex school systems as well as classrooms. While specific strategies, instructional models and approaches may be useful in a setting that is controlled, there is scanty information about the factors that impede or foster application of these modalities under varying contexts and among diverse teachers and students' pop.
The research aimed to develop a valid and practical Conceptual Change Texts (CCT) of Newtonian mechanics materials. The method used was educational research and development. The data were collected using questionnaires and expert validation sheets, as well as questionnaires and interviews with students. The design of the CCT was developed based on the conceptual change theory using the following format: situation, questions, space for answers and reasons, misconception forms, and correct concept explanations. There have been 21 developed units of the CCT distributed in four chapters, i.e. Basic Laws, Applications of the Basic Laws, Work and Energy, and Impulse and Momentum. The results of the data analysis revealed that the CCT had content, conformity with needs, language, presentation, and graphic feasibility levels of 70%, 40%, 80%, 90%, 87%, respectively to mean that the teaching materials were very valid. Based on the practicality test, the teaching materials were very practical, i.e. 87%. In other words, the Newtonian mechanics CCT was easy to read and understand and could be used to change misconceptions. Educators can use these supplement teaching materials in the Basic Physics courses in college and in mechanics topics in a high school.
INTRODUCTIONModule 3 Week 6 The Purpose StatementIn thiTatianaMajor22
INTRODUCTION
Module 3 Week 6: The Purpose Statement
In this course, you have learned that a final problem statement normally takes many months to develop. Yet this week, you are asked to begin to develop the purpose statement. This is not because your problem statement is finalized but because it is time for you to evaluate and practice creating the rest of the common components of the doctoral capstone. This is part of the iterative process of preparing the capstone.
Remember, though, that the assignments in this course are unlikely to be final versions of your study. The intention is to help you to understand and prepare for what you will need to write in your capstone.
The purpose statement serves as the connection between the problem being addressed and the focus of the study. Depending on the methodology, in:
· Quantitative studies, state what needs to be studied by describing two or more factors (variables) and a conjectured relationship between (among) them related to the identified gap in practice or problem;
· Qualitative studies, describe the need for increased understanding about the issue to be studied (based on the identified gap or problem); and
· Mixed-methods studies (with both quantitative and qualitative aspects), clarify how the two approaches will be used together to inform the study.
Notes on Readings
This week’s readings continue to provide information on how to review the research literature. Apply this guidance to your ongoing efforts to read and take notes interactively in the research relevant to your problem. The media and other resources, this week, will help you to develop your understanding of the purpose statement.
The reading in the Single text, this week, can help you to fine tune your system for scholarly reading and note taking via the use of your citation management software.
This week, Thomas provides detailed instructions about how to interact with, and review, the research literature. These skills are critical in your work on your doctorate.
Learning Objectives
Students will:
· Apply technological tools to find, analyze, and evaluate existing research
· Analyze purpose statements
· Apply knowledge of APA references
· Apply knowledge of doctoral study
Assignment: The Purpose and Problem Statements
Stephen King, who has written more than 50 novels—and other books that have sold hundreds of millions of copies—also wrote about how he writes. In his book, On Writing: A Memoir of the Craft, King explains that his iterative approach to writing involves writing, putting it aside, writing something else, and then returning to the first draft.
While it is unlikely you will adopt Stephen King’s ritual for draft versions, recognize that “writing drafts” are an essential part of the process. This week’s writing assignment allows you to present an improved and refined problem statement and an aligned purpose statement.
To Prepare
For this revision of your purpose and problem statements, apply what you have learn ...
ABSTRACT
Many engineering subjects are highly mathematical, analytical and descriptive. To make students understand the basic concepts, theory, analysis, design and application, new teaching-learning systems need to be explored. One of these is the Start-Stop-Continue technique. From the present study, it is concluded that given an ambient environment, the learning process can be made very effective and all the course objectives can be achieved. Action research has helped in empowering the students in acquiring knowledge. With this approach, the students’ performance has improved from mediocre to very
good.
Improving Students’ Learning With Effective Learning Techniques: Promising ...Fran Maciel
Authors: John Dunlosky1
, Katherine A. Rawson1
, Elizabeth J. Marsh2
, Mitchell J. Nathan3
, and Daniel T. Willingham4
1Department of Psychology, Kent State University; 2
Department of Psychology and Neuroscience, Duke University;
3
Department of Educational Psychology, Department of Curriculum & Instruction, and Department of Psychology,
University of Wisconsin–Madison; and 4
Department of Psychology, University of Virginia
Active learning techniques in engineering educationeSAT Journals
Abstract The current developments in technology and ideas have given entirely new dimensions to the field of research and education. New delivery methods are proposed which is an added feature to the engineering education. Particularly, more importance is given to new teaching practices such as Information and Communication Technologies (ICT). It is vital to adopt the new ICT methods which lead to emergence of novel structure and mode of education. The flipped classroom, think pair share and peer instruction are the latest pedagogical methods which gives students to learn the course. This involves students to watch video lectures outside the classroom and solve the problems at home. Students are engaged in group discussions in the classroom. These are the active learning methods where in student is involved diversely to learn the course. This paper gives a comprehensive study of past and present researches which is going on with flipped class room, thinks pair share activity and peer instruction. Keywords—Flipped classroom; Think pair share; Peer instruction; Active learning.
Running head: EDUCATIONAL RESEARCH 1
EDUCATIONAL RESEARCH 2
Translating Educational Research into Practice
Problem
For a long time, education research has not been able to impact classroom instructional practices and educational policies. Educational based researchers argue that their primary work is to research the various aspects of learning and teaching to then present their findings at various conferences and publishing them in different educational journals. Their busy schedule does not allow them to train practitioners (Powney & Watts, 2018). On the other hand, practitioners are busy concentrating on there, and they do not have time to review new literature. This brings up the question as to who is responsible for this gap. In the real sense, there should be a connection between the two, and both parties should play a role in bridging this gap.
Practices, Policies, and Procedures That Have Led to the Problem
There are various reasons for this persistent gap between the teaching practices that teachers use and the guidance that educational research provides. However, three of them stand out. They include the trustworthiness issue, teacher preparation issues, and the research practice issue. The trustworthiness issue comes in because much of the published educational research and disseminated to teachers, policymakers and researchers are often not good and of uneven quality. Research is incredibly demanding, and it is not always possible to choose the most appropriate methodological approach. It is essential that the methodology is applied rigorously whether it is for qualitative or quantitative research (Suter, 2012).
Teachers, on the other hand, want to provide quality education to their children. When they turn into research to aid in teaching, their main expectation is that the information they get is trustworthy. If the information is not trustworthy both the teacher and the student will fail terribly. The teachers also have to be prepared. The applicability and relevance of a research finding will be minimal if the administrators and teachers are unable to access the data, unable to develop strategies for implementing the research findings and do not understand or are unable to interpret the research findings in a meaningful and accurate manner (Fenwick, Edwards, & Sawchuk, 2012).
While teacher preparation and research trustworthiness play significant roles in determining the extent to which research informs instructional practices and educational policies, a fundamental problem is our inability to understand and identify an environment where the research findings can be applied in complex school systems as well as classrooms. While specific strategies, instructional models and approaches may be useful in a setting that is controlled, there is scanty information about the factors that impede or foster application of these modalities under varying contexts and among diverse teachers and students' pop.
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An Exercise To Teach The First Law Of Thermodynamics For An Open System Using A Simple Hair Dryer
1. the Technology Interface Journal/Spring 2010 Edwards, Recktenwald, Kuntz and Michael
Volume 10 No. 3 ISSN# 1523-9926
http://technologyinterface.nmsu.edu/Spring10/
An Exercise to Teach the First Law of
Thermodynamics for an Open System Using
a Simple Hair Dryer
by
Robert Edwards
Penn State Erie,
The Behrend College
rce2@psu.edu
Gerald Recktenwald
Portland State University
gerry@me.pdx.edu
Roger Kuntz
Penn State Erie,
The Behrend College
nsc@psu.edu
Robert Michael
Penn State Erie,
The Behrend College
rxm61@psu.edu
Abstract: A wide range of active learning methods are being employed in today’s modern
classroom to enhance the learning experience. One type is known as guided inquiry. This
method requires the students to be actively involved in discovering a concept or basic principle.
Questions are posed which are intended to keep the students on task, but the students are
required to make predictions about physical phenomenon, test their ideas and make sense out of
the results of their tests.
In a traditional engineering classroom, students focus on quantitative problem solving skills,
which are certainly needed. However, that alone may not give the students the type of
understanding of basic concepts that is needed. The exercise described in this paper attempts to
address this possible lack of understanding through a guided inquiry approach using a common
physical device – a hair dryer. The traditional lecture and the guided inquiry exercise
complement each other nicely. In the lecture, the students get a quantitative background of the
material while in the exercise the students get a qualitative understanding of the underlying
concept.
The exercise described in this paper involves the use of a hair dryer to teach the first law of
thermodynamics for an open system. The pedagogical basis for this exercise is discussed, along
with a look at why a hair dryer is a good teaching tool. The bulk of the paper describes the
exercise in some detail. The first attempt at assessing the effectiveness of this exercise is also
explored.
Keywords- Guided inquiry, first law of thermodynamics, qualitative reasoning, active learning.
.
2. the Technology Interface Journal/Spring 2010 Edwards, Recktenwald, Kuntz and Michael
Volume 10 No. 3 ISSN# 1523-9926
http://technologyinterface.nmsu.edu/Spring10/
I. Introduction
The first law of thermodynamics is traditionally taught through a lecture as part of a first course
in thermodynamics. However, modern pedagogical research is showing that lectures alone may
not be the most effective way to teach these kinds of concepts[1][2]
. Lectures need to be
complimented with demonstrations and hands-on experiences. Even in-class demonstrations are
not necessarily an effective way to increase student learning. Mazur, Fagen, et al[3]
took a look
at the effectiveness of classroom demonstrations and concluded that students that simply observe
a demonstration during class show no significant improvements in learning compared to those
who do not observe the demonstration. However, they further noticed that when the students are
actively involved in the exercise there is definitely a significant improvement in learning.
Traditional laboratory experiences are certainly hands-on and get the students actively involved.
These labs typically involve the use of preconfigured hardware and procedures designed to
demonstrate or “prove” the theories that are being taught in class. They usually call for the
students to set-up the experiment, run a set procedure, take data and tear down the equipment.
Students then typically have one to two weeks to do any necessary calculations and produce a
report. Even though they are actively involved physically during the lab period, they are often
not actively engaged mentally. There is often very little need for them to understand what they
are doing during the lab period, and often they do not recognize if the data they are gathering is
good or bad. They are accustomed to it being good, so they are unlikely to question it. One
consequence of this is that the students come away with the impression that the purpose of any
laboratory experiment is to verify or demonstrate a theory. Newer, active methods for laboratory
exercises are attempting to move the lab experience beyond just demonstrating a theory into
actually teaching it.
Active methods have been widely incorporated into science classrooms. More recently they
have been finding their way into engineering classrooms. A brief overview of some of these
methods is given in the next section. The bulk of this paper describes an exercise designed to
teach the concept of the first law of thermodynamics for an open system using a guided inquiry
approach. The exercise described in this paper uses a hair dryer as the thermodynamic system.
The general procedure asks the students to make predictions about the properties of the outgoing
air stream as various hair dryer parameters are changed, test their ideas and try to make sense out
of what seems to be conflicting data. This process requires the students to think on a deeper
level than they normally would during a laboratory exercise, hopefully leading to a better
understanding of the concept.
II. Overview of Active Learning Methods
There are several active learning methods that are being used in classrooms today. Malicky,
Huang and Lord[4]
have compiled an overview of many of these methods. These include
problem-based learning, project-based learning, cooperative and collaborative learning, service
learning, and inquiry based learning. They also review some mixed methods. Several other
methods are in use, but those listed here are sufficient to get the sense of what active learning is
about.
3. the Technology Interface Journal/Spring 2010 Edwards, Recktenwald, Kuntz and Michael
Volume 10 No. 3 ISSN# 1523-9926
http://technologyinterface.nmsu.edu/Spring10/
In problem-based learning the course is centered around a set of open-ended problems which are
selected to lead the students toward the desired course outcomes. Students are motivated to learn
the associated material because it is needed to solve the assigned problems. Montero and
Gonzalez[5]
describe their experience incorporating problem-based learning into a first year class
for electronic engineering students. They use this method to help teach them heat transfer basics
with a focus on the cooling of power electronics and on electrical maintenance.
Project-based learning is similar to problem-based learning except that one or more projects are
used rather than a series of shorter problems. This method is generally used to reinforce the
theory that is being taught instead of providing a motivation to learn the material. Cooper[6]
describes how this approach was applied to a course in an introductory thermal sciences course.
She incorporates a semester long project with deliverables due throughout the semester. She lists
several projects that she has used in her class. Interestingly, one of the projects is a thermal
analysis of a hair dryer. Roy, Nasr and Berry[7]
describe a thermodynamics course that is driven
entirely by the project based learning approach.
Cooperative and collaborative learning are somewhat different, but similar enough to be treated
as the same here. These methods usually involve the formation of temporary small groups, often
during the class period, to work on a problem assigned in class. It might also be applied to a
group homework assignment or other similar short term problems. An example of this method
can be found in a paper by Ulasir, Carpenter, et al[8]
. In this paper they describe how they
incorporated cooperative learning into a fluid mechanics laboratory course.
Service learning is similar to project-based learning in that it is usually centered around one or
more projects. In the case of service learning the project is usually something that benefits some
community organization such as a school or community center. Jawaharial, Fan and Monemi[9]
discuss adding service learning to engineering courses. They incorporate a year-long
multidisciplinary project into their curriculum, and list many possibilities for community
partnerships.
The exercise discussed in this paper uses a guided inquiry approach to active learning. In this
approach students are asked to pose questions, develop experiments to try to answer those
questions, analyze information from those experiments, and draw conclusions[10]
. In a pure
inquiry based exercise the students are left on their own to discover the relevant concept. Guided
inquiry recognizes that in the context of letting students “discover” principles on their own many
students can lose focus and move off target. To assist in keeping students on the right path, a set
of open ended questions is provided. The wording of these questions is critical in keeping the
students on track while not leading them to a specific conclusion. A good example of this is
given by Buch and Wolff [11]
. A question intended for a course in construction materials might
be posed two different ways:
“How would the presence of fibers affect concrete toughness?”
or “How would you improve concrete toughness properties?”
The first question clearly suggests an answer while the second is more thought provoking.
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Ross advocates for students spending more time thinking about and writing down explanations
for things than in actually doing calculations[12]
. Students are asked to make predictions about
the behavior of an apparatus or process with no penalties for wrong predictions. If the behavior
of the device does not match the prediction then students need to make sense of the results. This
is quite different from traditional engineering courses in which students spend large amounts of
time on the calculations, and not necessarily as much time on making sense of results. In the
exercise described below the results seem to be contradictory and confusing. By going through
the process of trying to make sense of these conflicting results the students should get a deeper
understanding of the first law of thermodynamics for open systems then they would through a
lecture alone.
III. Hair Dryers as a Teaching Tools
Using a familiar device for an experiment has two advantages. First, the students do not need to
spend time and mental effort trying to figure out what the device is intended to do or how it
works. This frees them to concentrate on the basic principles that are involved in the exercise
rather than on the operation of the equipment. Secondly, it has been shown that the use of a
familiar device to demonstrate an unfamiliar principle can help to add relevance to a lecture[13]
.
Hair dryers, which are familiar to most students, have commonly been used as teaching tools.
Alvarado has students design their own thermodynamic experiment using a hair dryer[14]
.
Weltner uses a hair dryer in an experiment to determine the specific heat of air[15]
. Shakerin
makes use of a hair dryer to demonstrate both the first and second laws of thermodynamics[16]
.
As mentioned earlier, Cooper makes use of a hair dryer as part of a project based course in
thermodynamics[6]
. Edwards has long used a hair dryer in an experiment where students perform
a comprehensive first law analysis[17]
. One thing many of these experiments have in common is
that they incorporate traditional or “cook book” type laboratory exercises in which there is a well
defined procedure and usually a successful, predictable result. The exercise described in the
remainder of this paper is different in that it uses a hair dryer within the context of guided inquiry
pedagogy. The focus of the hair dryer exercise described below is to teach a qualitative
relationship between mass flow rate and temperatures of fluids crossing the boundary of an open
thermodynamic system using a guided inquiry approach.
IV. Equipment
Figure 1 shows a schematic of the test set-up used for this exercise. The apparatus consists of a
hand-held hair dryer mounted in a custom bracket, thermocouples to sense both upstream and
downstream temperatures, a data acquisition unit (DAQ) for digitizing the thermocouple output
and a computer running a LabView VI to display the thermocouple output. Not shown on the
schematic is a wattmeter used to measure the total power that is consumed by the hair dryer. The
hair dryer is simply plugged into the wattmeter to get the reading.
Notice the various hair dryer settings. There are two switches on the handle. One controls the
fan setting, with off, low and high options. The other controls the heater setting, with cool, warm
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and hot options. When the hair dryer is set on the cool setting there is no power directed to the
heaters. It is important to recognize this because it factors into the results of the exercise.
Fig. 1: Schematic of the exercise set-up
Figure 2 shows a photograph of the actual apparatus used for the exercise.
Fig. 2: Apparatus used for the hair dryer exercise
V. Theory
A simple schematic for a hairdryer is shown in Figure 3. It is made up of three basic parts: a
resistance heater, a fan and an enclosure. Most of the energy consumed by the hair dryer is used
by the resistance heater while a smaller amount is used by the fan. As air is blown across the
heater it gains energy from the heater causing the temperature to increase. A small amount of the
temperature increase can also be attributed to the power consumption of the fan motor. Even
though the power consumed by the fan is small, it is interesting to note that the effect of this
small increase is observed later as part of the exercise. It turns out to be an important part of the
analysis of the data.
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Fig. 3: Simplified schematic of a hair dryer
The first law of thermodynamics for the hair dryer can be written as shown in Equation 1[18]
.
Equation 1
Where:
.
This is an equation the students should already be familiar with, having been exposed to it during
a lecture before the exercise is conducted. In order to successfully complete this exercise the
students must be able to apply qualitative reasoning to this equation and make predictions about
the effects of changing certain parameters on the outlet temperature. They first need to recognize
that certain of the terms can be neglected, then manipulate the equation to find the necessary
relationships.
VI. Pre-Exercise Predictions
Prior to the exercise they are asked to predict two relationships. The main one is to predict what
effect changing the flow rate of the air (switching to a higher fan setting) has on the outlet
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temperature if the power setting remains unchanged. Their choices are shown in Figure 4. The
correct answer is d, as the flow rate goes up the temperature should go down linearly.
Fig. 4: Effect of air flow rate on outlet temperature
There are three ways they might arrive at an answer to this: guess, rely on prior experiences and
preconceived ideas or by applying the theory to the problem.
They might simply guess. Some students take this approach because they really do not know
what the answer should be, and do not understand enough about the theory to apply it to this
situation. Obviously this is not the most desirable approach, but can still result in learning gains.
The second method is to rely on prior experience with a hair dryer or similar device. They may
have noticed that the temperature tends to go up or down when they change the fan speed.
Everyone brings preconceived ideas based on prior experiences to any problem. These
preconceived ideas might be right or wrong. A successful laboratory exercise must engage and
challenge these preconceptions[19]
. Therefore, it is desirable to have the students initially take
this route in predicting the outcome of the experiment.
Most of the students do not rely on the theory at this point. After they have made their initial
prediction, the entire group works through a qualitative reasoning exercise to make predictions
based on the theory. Qualitative reasoning has several possible meanings. In general, it is the
use of engineering models to predict system response when not all of the terms in the model are
fully specified. It involves making estimates through simplifying the model by concentrating on
the dominant factors and neglecting the minor ones. Several techniques might be applied to a
qualitative reasoning problem. The method used in this exercise is analytical simplification. The
application of this method involves the use of scale or order-of-magnitude estimates to obtain
simple formulas from more complex equations. Experience and common sense are important in
determining what the dominant factors are.
For this exercise students need to recognize that heat transfer from the housing, kinetic energy
changes and potential energy changes are small so they can be neglected from Equation 1.
Arriving at this conclusion might be difficult for the students. They tend to try to include
everything in their equations, and often feel uncomfortable when terms are eliminated. An
instructor led discussion can lead them through the following thought process.
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Hair dryers typically have ratings in the 1200 watt range. If an ordinary hair dryer is turned on
the housing does not get very hot. Since the temperature difference between the housing and the
surrounding air is small, the rate of heat transfer is small. It is certainly not of the same order of
magnitude as the total power consumption. In fact, experimentation by the author has shown
that the heat loss from the housing comprises less than .01% of the total power consumption[17]
.
Therefore, heat transfer can be safely neglected. Next are the kinetic energy terms. Since the
inlet and outlets of most hair dryers have similar areas, the velocities are similar, minimizing any
kinetic energy differences. These terms can also be neglected. Moving on to potential energy,
the hair dryers used in this exercise have the center line of the inlet and the center line of the
outlet horizontally in-line with each other which gives a potential energy difference of zero.
Even if the hair dryer were tilted or mounted vertically the potential energy difference is
extremely small, therefore it can also be neglected. Equation 1 then reduces to Equation 2.
Equation 2
Since the mass flow rate in has to equal the mass flow rate out based on the continuity equation,
Equation 2 can be rewritten as Equation 3.
Equation 3
The assumption used for the prediction is that the input power is not changed. In Equation 3 the
enthalpy difference reflects a temperature difference. For a given electric work input, an
increase in the mass flow rate results in a decreased temperature difference to maintain the
equality in Equation 3. Since the inlet temperature remains constant, this means that the outlet
temperature must decrease. Furthermore, the relationship is linear making d the correct choice
over e.
After this discussion the group as a whole makes a prediction, based on the theory, which is
used for comparison purposes with the actual test results. For warm and hot heater settings the
students can now readily see that the outgoing air temperature should decrease if the fan speed
increases when the heaters are held at constant power. Those predictions for the two possible
heater settings are shown as the top two lines on the plot in Figure 5. This leaves one final
scenario to be discussed. When the heaters are set on cool there is no power going to the heaters.
The group generally predicts that the incoming and outgoing air temperature will be the same,
and that it will not change if the air is moving faster. This prediction is displayed as the bottom
plot in Figure 5. Note, however, that when the fan motor is turned up there will be more power
consumed by the fan, so the theory actually predicts that the outlet air temperature should rise.
This point is usually not made at this stage of the exercise. It is left for the students to discover it
when they run the hair dryer. As data is taken the students then plot actual results which will
later be compared with this group prediction.
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Fig. 5: Group prediction of air temperature
changes when input power is held constant
and fan speed is changed
The second prediction they are asked to make is what should happen if the inlet temperature and
mass flow rate are held constant and the heater power (electric work) is changed. Again, they
are given five choices (Figure 6). The correct answer is a, as the heater power is increased the
outlet temperature should go up linearly.
Once again, Equation 3 shows the reason. If the mass flow rate remains constant then the
enthalpy change must go up when the electric work term goes up. Also note that it is a linear
relationship making a, not b, the correct answer. However, this is pretty much a common sense
prediction since it is fairly obvious that the temperature should go up if a heater is turned on. It
might not be quite so obvious that the relationship is linear.
After the students make their own predictions the group once again makes a prediction to use for
comparisons with actual data. Figure 7 shows that prediction.
Fig. 6: Effect of electric work on outlet temperature
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Fig. 7: Group prediction of air temperature changes
when fan speed is held constant and input power is
changed
VII. Hair Dryer Exercise
The laboratory exercise consists of taking data for two hairdryers and then making sense of the
data based on the first law of thermodynamics. Data collection is quite simple. The electric
power to the hair dryer is read from a wattmeter and the outlet temperature is read from the
LabView screen. There are three downstream thermocouples and one thermocouple for the
ambient temperature. All four thermocouple readings are plotted. The downstream
thermocouples show different readings due to the placement of the heaters inside the nozzle.
The LabView VI calculates the average downstream temperature and displays that value. The
average value is the one that is recorded. Data is recorded for every combination of heater and
fan settings. Two hair dryers are tested to ostensibly verify that the readings are consistent. In
reality, the two hair dryers behave quite differently.
Figure 8 shows a series of data plots for the first hair dryer. The figure only shows the plot
portion of the screen and not the calculated average value. The data in Figure 8a is for a power
setting of cool. The first jump in the outlet temperature shown on the plot happens as soon as the
hair dryer is turned on. The second jump occurs when the fan setting is changed from low to
high. This is not what the students predicted (Figure 5), and often surprises them. Why did the
temperature go up when there is no power to the heaters? This is a question for the students to
ponder after all the data is taken.
Fig. 8a – Heater setting Cool Fig. 8b – Heater setting warm, Fig. 8c – Heater setting warm,
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Figure 8b shows what happens when the fan is returned to low and the heater power is turned on
warm. The temperature goes up significantly, which is exactly what one would expect since
there is now a heater turned on. While it is running at this level the students are reminded that
the prediction for the outlet temperature when the fan is turned up is that the outlet temperature
should go down. Figure 8c shows what actually happens. At this point the fan is on high and the
heaters are still on warm. A similar trend occurs for a heater setting of hot. The students are
now confronted with something they do not often encounter in the lab. The results are exactly
opposite of what they predicted and would expect based on the theory. The graphs appear to
violate the first law of thermodynamics. Since the results are dramatically different from the
prediction, not just slightly different, the students cannot simply write off the differences as
experimental error. Later they will be asked to make sense of this data.
The second hair dryer is run to verify the results from the first. Results for the same sequence of
runs are shown in Figure 9.
Fig. 9a – Heater setting Cool Fig. 9b – Heater setting warm,
fan setting low
Fig. 9c – Heater setting warm,
fan setting high
Notice that the first two plots are very similar, however there is a marked difference in the third
one. This time the temperature goes down when the fan speed is increased, which is according
to the original prediction. Now the students really have a dilemma. Can they make sense of all
of this? To help with their analysis they are asked to collect data along the way. Table 1 shows
a typical data table that they produce. The table would also include data for the hot heater
setting. It does not add anything to the discussion here, so that data is omitted for clarity.
Hair Dryer Low High
1 Cool 70 110
Warm 422 875
2 Cool 67 108
Warm 555 597
Table 1 – Typical data table (All values are in Watts)
fan setting low fan setting high
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VIII. Data Analysis
The results are very surprising based on the predictions. First, note that the temperatures go up
for both hair dryers when the heaters are set on cool. Usually the group prediction is that there
will be no change in the temperature for that setting. This needs to be discussed and understood
by the students. Figure 11 shows an energy diagram for a hair dryer. The first law of
thermodynamics states that for steady state the energy in has to equal the energy out. Neglecting
heat loss, the energy leaving with the air has to equal the sum of the energy coming in with the
air and the electrical work input. Therefore the temperature of the outgoing air will be higher
than that of the incoming air. Additionally, when the fan speed is increased it requires more
power, increasing the outgoing temperature even more. This is exactly what is shown in Figures
8a and 9a. Most students eventually recognize this relationship on their own.
Now the students are left with the bigger problem.
When the heaters are turned on (warm or hot), the
hair dryers not only behave differently from each
other, but one of them appears to violate the first law
of thermodynamics. They need to consider the data
(Figure 10) to resolve this issue. Notice that for both
hair dryers, the power required to change the fan
speed from low to high is around 40 watts. (This
can be determined by looking at the cool power
setting, because no power is going to the heaters.)
Looking at the warm setting, you can see that it
takes about 450 watts to increase the fan speed for
the first hair dryer while the second hair dryer it
takes only about 40 watts. Eventually the students notice that the power for the first one is
significantly higher than for the second one, and conclude that it must have some effect on the
results. They rarely notice that the power to increase the fan alone is 40 watts. Eventually,
through discussing this dilemma as a group, the students begin to understand why the hair dryers
act differently in terms of the outlet temperature characteristics.
It is interesting to note that even after the discussion period there is still confusion about how this
all relates to the first law of thermodynamics. The students are asked which of the hair dryers
obeys the first law. The majority say that the second one does because it follows the predictions,
whereas the first one does not. It must be explained to them that the variations from the
predictions are not caused by a failure to obey the first law but by the fact that the first one does
not follow all of the assumptions that went into the prediction. Specifically, the heaters are not
held at constant power. It needs to be emphasized at this point that everything has to obey the
first law of thermodynamics, and that apparent violations must have some type of explanation
behind them.
At the end of the exercise the students are told that one of the hair dryers has been modified.
They are asked which one they think was changed. Most students assume that the first one was
modified because it does not follow their first law predictions. In reality, it was the second one
Fig. 11 – Energy diagram for a hair
dryer
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that was modified. Several hair dryers were tested by the author, and all of them behaved like
the first one. Some of the students have suggested that one reason the manufacturers might
design them that way is because if the temperature of the outgoing air were to go down when the
fan is turned up that many users would assume the unit was broken.
IX. Why are the Hair Dryers Different?
The hair dryers are different because one of them has been rewired to make it different. After
testing several brands of hair dryers it appeared that they all perform in a similar way. When the
fan is turned up without changing the heater power setting the temperature of the air leaving the
hair dryer increases. This does not demonstrate the basic principle that says it should go down,
therefore using only a standard hair dryer for this exercise risks confusing students. However, it
does show that one needs to be aware of the assumptions that are made and whether or not they
apply to a given situation. It also helps in stressing the point that everything obeys the first law,
even if it does not appear to do so. The authors wanted to have a model that performs according
to the predictions in order to enhance the exercise.
The first attempt to provide that model took the form of a fabricated tube with a heater inside and
a fan to blow air through it. Figure 12 shows a picture of that model. A DC power supply was
used to power both the fan and the heater independently.
This does a nice job of demonstrating the principle, but it
does not look very much like a hair dryer. Also, the
exercise using this device was significantly different than
the one using the actual hair dryer, causing confusion rather
than clarity among the students. It was decided to try to
modify an actual hair dryer to demonstrate the same thing.
The internal wiring was re-done to make the switches
operate independently. Appendix A shows the original
schematic and the modified schematic for the hair dryer.
The modifications that were made cause the hair dryer
switches to operate independently. Safety was of utmost during the modifications. All of the
standard safety features including the ground fault switch and the thermostatic heater controls
remain in the circuit. Additionally, the modification includes one additional safety feature, the
heaters cannot be turned on if the fan is not running.
X. Assessment of Results
The most recent implementation of this exercise was with a group of Mechanical Engineering
Technology (MET) Students. The course was broken into two sections with only one of them
doing the exercise. Four multiple choice questions were added to an exam in both sections to
test the understanding of the principles covered by this exercise. The questions were:
1.) The sketch below depicts a fan pushing air through a duct. When the fan is turned
on the temperature probes indicate that Tout is 0.20
C higher than Tin. This
measurement is an indication that:
Fig. 12 – Model of hair dryer
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a. There is a measurement error because the temperatures should be the
same
b. There is a measurement error because Tout should be lower than Tin
c. We should ignore the small temperature difference as negligible
d. The fan work is causing the temperature increase.
This question is a direct application of the results of the exercise. The correct answer is d.
2.) Water flows through a well insulated pipe as shown below. The heating tape
supplies a constant heat transfer rate of Q watts. The inlet temperature is fixed.
Decreasing the mass flow rate of the water would result in:
m
•
Tin Tout
insulation
d
L
heating tape
a. A decrease in Tout
b. An increase in Tout
c. No change in Tout
d. Not enough information is given to determine the effect on Tout.
This is a slight variation of the hair dryer exercise with the energy in coming from heat transfer
rather than electric work (although it could also be looked at as electric work going to the
heating tape). The correct answer for this one is b.
3.) A heat exchanger is used to cool the exhaust gases from a machine using water as
the cooling medium. If the rate of heat transfer to the water, and the water inlet
temperature remain constant, what would happen to the water outlet temperature
if its flow rate is increased?
a. Remain the same
b. Increase
c. Decrease
d. It depends on the gas temperature.
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This is extending the hair dryer exercise into a different application, but still is very similar. The
correct answer to this one is c.
4.) After doing a thorough analysis of a new device an engineer determines that
an increase in voltage to the device would result in the curve shown below.
The engineer builds three of the devices and the tests yield the three
different curves shown below:
A (Device 1) B (Device 2) C (Device 3)
Which of these actual devices obeys the First Law of Thermodynamics?
a. A
b. B
c. C
d. All of them.
This question was designed to determine if the discussion of the first law of thermodynamics
relating to the two hair dryers had any effect on student learning. The correct answer to this is
d, all of them, because everything obeys the first law. It does not matter that the curves do not
match the prediction.
Table 2 shows the results from the exams given to the two sections. Section 1 students ran the
exercise and section 2 students did not. The values on the table are in percentage of students
who selected a particular answer for each question. The values in red are the percentages in each
section who answered the question correctly.
The results are mixed. Section 1 did better on two of the questions (1 & 3) and Section 2 did
better on two of the questions (2 & 4). The most surprising result was for question 4. The point
that everything obeys the first law was made quite strongly during the exercise yet only 38.5% of
the responses from Section 1 got this answer correct. It was better than Section 2, but should
have been much higher. Another surprising result from question 4 was that the largest number of
Volt
P
P
Volts
P
Volts Volts
P
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responses for both sections was answer b. Answer c would seem to be the more logical response
since the diagram matches the one that is given in the original wording of the question.
Section 1 results Section 2 results
Ques. Ans. a b c d a b c d
1 d 0.0 7.7 3.8 88.5 5.3 2.6 0.0 92.1
2 b 19.2 76.9 0.0 3.8 7.9 86.8 2.6 2.6
3 c 3.8 38.5 58.8 3.8 21.1 28.9 47.4 2.6
4 d 3.8 46.2 11.5 38.5 2.6 47.4 26.3 23.7
Table 2 – Percentage of answer selections by section
The results of this assessment are inconclusive. Informally, many students said that they felt
they learned a lot from the exercise, but the exam results do not verify that. There are some
factors which may have affected the outcomes which will be addressed in future trials. The main
area of concern for comparison purposes is that the sections were taught by different instructors.
There is no way of knowing how the in-class treatment of the topic compared between the two
sections. It is possible that this topic was stressed more in Section 2 than in Section 1. Another
factor that might affect the outcomes was that students from different sections may have talked
with each other about the exercise. There was no way to control this, and there is some
indication that this did happen to a certain extent. These results highlight the need for improved
assessment instruments and controls. This will be a major focus for future work.
One major disappointment in these results is with question 4. Since this exact point was covered
thoroughly during the exercise, it was expected that the percentage of correct answers in Section
1 would have been significantly higher than 38.5%. These results highlight the fact that students
do not seem to be clear on the point that everything obeys the first law of thermodynamics. It is
good feedback in the sense that instructors can modify their delivery of the topic to stress this
point.
XI. Summary
This paper discusses a guided inquiry exercise designed to teach the concept of the first law of
thermodynamics for an open system. It requires students to use some qualitative reasoning to
make predictions about the outcome of the exercise. In the process of gathering and plotting data
they encounter conflicting results, which they are not accustomed to getting in other traditional
laboratory experiments. The final step of making sense of the data causes them to have to think
on a deeper level than they would normally have to if they were simply making calculations as
part of a traditional lab. While the quantitative assessment results to date are inconclusive,
qualitative feedback suggests that the students feel they have enhanced their understanding of the
topic by doing the exercise. Future work is planned to make some further refinements to the
exercise. The main area where improvements are needed is in the assessment of the educational
benefits of the exercise.
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This exercise is part of a suite of exercises that have been developed by the authors called the
Engineering of Everyday Things. This work is supported by the National Science Foundation
under Grant No. DUE 0633754. Any opinions, findings, and conclusions or recommendations
expressed in this material are those of the author(s) and do not necessarily reflect the views of
the National Science Foundation. For more information on this, or any of the other exercises you
may go to the project website at: http://eet.cecs.pdx.edu.
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19. the Technology Interface Journal/Spring 2010 Edwards, Recktenwald, Kuntz and Michael
Volume 10 No. 3 ISSN# 1523-9926
http://technologyinterface.nmsu.edu/Spring10/
Appendix A – Hair Dryer Schematics
20. the Technology Interface Journal/Spring 2010 Edwards, Recktenwald, Kuntz and Michael
Volume 10 No. 3 ISSN# 1523-9926
http://technologyinterface.nmsu.edu/Spring10/
Biography
ROBERT EDWARDS is a lecturer in engineering at Penn State Erie, The
Behrend College. He has been a faculty member in the Mechanical
Engineering Technology program since 1991. He came to Penn State Behrend
with over 20 years of industrial experience. He teaches a wide variety of
courses including mechanics, and basic electricity, but specializes in the fluid
and thermal sciences.
GERALD RECKTENWALD is an Associate Professor and Chair in the
Mechanical and Materials Engineering department at Portland State
University. His teaching and research interests include fluid mechanics, heat
transfer, applications of numerical analysis and improving undergraduate
engineering education. He is a member of ASEE, ASME, IEEE and SIAM.
ROGER KUNTZ is an instructor of engineering at Penn State Erie, The
Behrend College in the Electrical and Computer Engineering Technology
program. His teaching specialties are in the areas of circuits, semiconductors
and programmable logic controllers. He is a registered professional engineer
in the state of Pennsylvania, and is a member of SPE, IEEE and ASEE.
ROBERT MICHAEL is a lecturer in engineering at Penn State Erie, The
Behrend College. He joined the faculty at Penn State Behrend in 1999. Prior
to Penn State Behrend, Bob spent several years in industry where he worked
as an industrial product designer and aerospace product designer for Lord
Corporation and general manager for National Tool and Equipment. He is
currently working toward doctorate at Case Western Reserve.