Artificial intelligence to support human instruction Michael C. Mozera,b,c,, ...eraser Juan José Calderón
Artificial intelligence to support human instruction
Michael C. Mozera,b,c,, Melody Wiseheartd and Timothy P. Novikoff.
PNAS March 5, 2019 116 (10) 3953-3955; first published February 19, 2019 https://doi.org/10.1073/pnas.1900370116
CLASSIFICATION OF QUESTIONS AND LEARNING OUTCOME STATEMENTS (LOS) INTO BLOOM’...IJMIT JOURNAL
Bloom’s Taxonomy (BT) have been used to classify the objectives of learning outcome by dividing the learning into three different domains; the cognitive domain, the effective domain and the psychomotor domain. In this paper, we are introducing a new approach to classify the questions and learning outcome
statements (LOS) into Blooms taxonomy (BT) and to verify BT verb lists, which are being cited and used by academicians to write questions and (LOS). An experiment was designed to investigate the semantic relationship between the action verbs used in both questions and LOS to obtain more accurate
classification of the levels of BT. A sample of 775 different action verbs collected from different universities allows us to measure an accurate and clear-cut cognitive level for the action verb. It is worth mentioning that natural language processing techniques were used to develop our rules as to induce the questions into
chunks in order to extract the action verbs. Our proposed solution was able to classify the action verb into a precise level of the cognitive domain. We, on our side, have tested and evaluated our proposed solution using confusion matrix. The results of evaluation tests yielded 97% for the macro average of precision and 90% for F1. Thus, the outcome of the research suggests that it is crucial to analyse and verify the action
verbs cited and used by academicians to write LOS and classify their questions based on blooms taxonomy in order to obtain a definite and more accurate classification.
CLASSIFICATION OF QUESTIONS AND LEARNING OUTCOME STATEMENTS (LOS) INTO BLOOM’...IJMIT JOURNAL
Bloom’s Taxonomy (BT) have been used to classify the objectives of learning outcome by dividing the
learning into three different domains; the cognitive domain, the effective domain and the psychomotor
domain. In this paper, we are introducing a new approach to classify the questions and learning outcome
statements (LOS) into Blooms taxonomy (BT) and to verify BT verb lists, which are being cited and used by
academicians to write questions and (LOS). An experiment was designed to investigate the semantic
relationship between the action verbs used in both questions and LOS to obtain more accurate
classification of the levels of BT. A sample of 775 different action verbs collected from different universities
allows us to measure an accurate and clear-cut cognitive level for the action verb. It is worth mentioning
that natural language processing techniques were used to develop our rules as to induce the questions into
chunks in order to extract the action verbs. Our proposed solution was able to classify the action verb into
a precise level of the cognitive domain. We, on our side, have tested and evaluated our proposed solution
using confusion matrix. The results of evaluation tests yielded 97% for the macro average of precision and
90% for F1. Thus, the outcome of the research suggests that it is crucial to analyse and verify the action
verbs cited and used by academicians to write LOS and classify their questions based on blooms taxonomy
in order to obtain a definite and more accurate classification.
A Term Paper for the Course of Theories and Approaches in Language Teaching(...DawitDibekulu
at the end of this presentation you will be able to:
Identify and know the concept of:
Theory and Hypothesis
Approach, Method and Techniques
Skill, Competence and Performance
Know the relation between them
Identify their difference
Know their benefit for ELT
Artificial intelligence to support human instruction Michael C. Mozera,b,c,, ...eraser Juan José Calderón
Artificial intelligence to support human instruction
Michael C. Mozera,b,c,, Melody Wiseheartd and Timothy P. Novikoff.
PNAS March 5, 2019 116 (10) 3953-3955; first published February 19, 2019 https://doi.org/10.1073/pnas.1900370116
CLASSIFICATION OF QUESTIONS AND LEARNING OUTCOME STATEMENTS (LOS) INTO BLOOM’...IJMIT JOURNAL
Bloom’s Taxonomy (BT) have been used to classify the objectives of learning outcome by dividing the learning into three different domains; the cognitive domain, the effective domain and the psychomotor domain. In this paper, we are introducing a new approach to classify the questions and learning outcome
statements (LOS) into Blooms taxonomy (BT) and to verify BT verb lists, which are being cited and used by academicians to write questions and (LOS). An experiment was designed to investigate the semantic relationship between the action verbs used in both questions and LOS to obtain more accurate
classification of the levels of BT. A sample of 775 different action verbs collected from different universities allows us to measure an accurate and clear-cut cognitive level for the action verb. It is worth mentioning that natural language processing techniques were used to develop our rules as to induce the questions into
chunks in order to extract the action verbs. Our proposed solution was able to classify the action verb into a precise level of the cognitive domain. We, on our side, have tested and evaluated our proposed solution using confusion matrix. The results of evaluation tests yielded 97% for the macro average of precision and 90% for F1. Thus, the outcome of the research suggests that it is crucial to analyse and verify the action
verbs cited and used by academicians to write LOS and classify their questions based on blooms taxonomy in order to obtain a definite and more accurate classification.
CLASSIFICATION OF QUESTIONS AND LEARNING OUTCOME STATEMENTS (LOS) INTO BLOOM’...IJMIT JOURNAL
Bloom’s Taxonomy (BT) have been used to classify the objectives of learning outcome by dividing the
learning into three different domains; the cognitive domain, the effective domain and the psychomotor
domain. In this paper, we are introducing a new approach to classify the questions and learning outcome
statements (LOS) into Blooms taxonomy (BT) and to verify BT verb lists, which are being cited and used by
academicians to write questions and (LOS). An experiment was designed to investigate the semantic
relationship between the action verbs used in both questions and LOS to obtain more accurate
classification of the levels of BT. A sample of 775 different action verbs collected from different universities
allows us to measure an accurate and clear-cut cognitive level for the action verb. It is worth mentioning
that natural language processing techniques were used to develop our rules as to induce the questions into
chunks in order to extract the action verbs. Our proposed solution was able to classify the action verb into
a precise level of the cognitive domain. We, on our side, have tested and evaluated our proposed solution
using confusion matrix. The results of evaluation tests yielded 97% for the macro average of precision and
90% for F1. Thus, the outcome of the research suggests that it is crucial to analyse and verify the action
verbs cited and used by academicians to write LOS and classify their questions based on blooms taxonomy
in order to obtain a definite and more accurate classification.
A Term Paper for the Course of Theories and Approaches in Language Teaching(...DawitDibekulu
at the end of this presentation you will be able to:
Identify and know the concept of:
Theory and Hypothesis
Approach, Method and Techniques
Skill, Competence and Performance
Know the relation between them
Identify their difference
Know their benefit for ELT
Clustering analysis of learning style on anggana high school studentTELKOMNIKA JOURNAL
The inability of students to absorb the knowledge conveyed by the teacher is’nt caused by the inability of understanding and by the teacher which isn’t able to teach too, but because of the mismatch of learning styles between students and teachers, so that students feel uncomfortable in learning to a particular teacher. It also happens in senior high school (SHS/SMAN) 1 Anggana, so it is necessary to do this research, to analyze cluster (group) of student learning style by applying data mining method that is k-Means and Fuzzy C-Means. The purpose was to know the effectiveness of this learning style cluster on the development of absorptive power and improving student achievement. The method used to cluster the learning style with data mining process starts from the data cleaning stage, data selection, data transformation, data mining, pattern evolution, and knowledge development.
CONCEPTUAL APPROACH AND SOLVING WORD PROBLEM INVOLVING MULTIPLICATION OF WHOL...WayneRavi
This study was conducted to determine the effect of conceptual approach on solving word problems involving multiplication of whole numbers as well as addition and subtraction. The study was carried out in Tambongon Elementary School to Fourty-one Grade Two students. Descriptive statistics (mean & SD), paired-sample T-test and ETA2 were used as tools in the analysis of data. Results revealed that there was a significant difference on the pretest and post test scores of conceptual approach. Further, conceptual approach has large effect.
In the discovery with models method identification relationships among students behaviors and characteristics or contextual variables are key applications.
The translation between mathematical representations was one of the indicators in understanding mathematical concepts. Understanding the things related to the process of student representation translation was very important in learning mathematics. One of the activities that plays a role in translation was unpacking the source. This study aimed to determine the characteristics of student activity in unpacking the source when doing the process of translational verbal representation to the graph. This research was using a qualitative research. The subject of this research were twenty mathematics education students. Selection of research subjects used purposive sampling. The data were collected by test and interview. The results showed that the characteristics of student activity in unpacking the source were two that are drawing scheme of verbal situation and interpreting verbal information with its own language. In addition, there were still many students failed in translation because of difficulties in unpacking the source. The results of this study were expected to add insight into learning to minimize student difficulties in unpacking the source.
An investigation of_factors_influencing_student_use_of_technology_in_k-12_cla...Cathy Cavanaugh
The purpose of this research was to examine the effects of teachers’ characteristics,
school characteristics, and contextual characteristics on classroom
technology integration and teacher use of technology as mediators of student
use of technology. A research-based path model was designed and tested
based on data gathered from 732 teachers from 17 school districts and 107
different schools in the state of Florida. Results show that a teacher’s level
of education and experience teaching with technology positively and significantly
influence his/her use of technology. Teacher use of technology
strongly and positively explains classroom technology integration and
student use of technology. Further, how a teacher integrates technology
into the classroom explains how frequently students use technology in a
school setting. The findings provided significant evidence that the path
model is useful in explaining factors affecting student use of technology
and the relationships among the factors.
IOSR Journal of Mathematics(IOSR-JM) is an open access international journal that provides rapid publication (within a month) of articles in all areas of mathemetics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mathematics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Educational Data Mining is used to find interesting patterns from the data taken from
educational settings to improve teaching and learning. Assessing student’s ability and performance with
EDM methods in e-learning environment for math education in school level in India has not been
identified in our literature review. Our method is a novel approach in providing quality math education
with assessments indicating the knowledge level of a student in each lesson. This paper illustrates how
Learning Curve – an EDM visualization method is used to compare rural and urban students’ progress
in learning mathematics in an e-learning environment. The experiment is conducted in two different
schools in Tamil Nadu, India. After practicing the problems the students attended the test and their
interaction data are collected and analyzed their performance in different aspects: Knowledge
component level, time taken to solve a problem, error rate. This work studies the student actions for
identifying learning progress. The results show that the learning curve method is much helpful to the
teachers to visualize the students’ performance in granular level which is not possible manually. Also it
helps the students in knowing about their skill level when they complete each unit.
Clustering analysis of learning style on anggana high school studentTELKOMNIKA JOURNAL
The inability of students to absorb the knowledge conveyed by the teacher is’nt caused by the inability of understanding and by the teacher which isn’t able to teach too, but because of the mismatch of learning styles between students and teachers, so that students feel uncomfortable in learning to a particular teacher. It also happens in senior high school (SHS/SMAN) 1 Anggana, so it is necessary to do this research, to analyze cluster (group) of student learning style by applying data mining method that is k-Means and Fuzzy C-Means. The purpose was to know the effectiveness of this learning style cluster on the development of absorptive power and improving student achievement. The method used to cluster the learning style with data mining process starts from the data cleaning stage, data selection, data transformation, data mining, pattern evolution, and knowledge development.
CONCEPTUAL APPROACH AND SOLVING WORD PROBLEM INVOLVING MULTIPLICATION OF WHOL...WayneRavi
This study was conducted to determine the effect of conceptual approach on solving word problems involving multiplication of whole numbers as well as addition and subtraction. The study was carried out in Tambongon Elementary School to Fourty-one Grade Two students. Descriptive statistics (mean & SD), paired-sample T-test and ETA2 were used as tools in the analysis of data. Results revealed that there was a significant difference on the pretest and post test scores of conceptual approach. Further, conceptual approach has large effect.
In the discovery with models method identification relationships among students behaviors and characteristics or contextual variables are key applications.
The translation between mathematical representations was one of the indicators in understanding mathematical concepts. Understanding the things related to the process of student representation translation was very important in learning mathematics. One of the activities that plays a role in translation was unpacking the source. This study aimed to determine the characteristics of student activity in unpacking the source when doing the process of translational verbal representation to the graph. This research was using a qualitative research. The subject of this research were twenty mathematics education students. Selection of research subjects used purposive sampling. The data were collected by test and interview. The results showed that the characteristics of student activity in unpacking the source were two that are drawing scheme of verbal situation and interpreting verbal information with its own language. In addition, there were still many students failed in translation because of difficulties in unpacking the source. The results of this study were expected to add insight into learning to minimize student difficulties in unpacking the source.
An investigation of_factors_influencing_student_use_of_technology_in_k-12_cla...Cathy Cavanaugh
The purpose of this research was to examine the effects of teachers’ characteristics,
school characteristics, and contextual characteristics on classroom
technology integration and teacher use of technology as mediators of student
use of technology. A research-based path model was designed and tested
based on data gathered from 732 teachers from 17 school districts and 107
different schools in the state of Florida. Results show that a teacher’s level
of education and experience teaching with technology positively and significantly
influence his/her use of technology. Teacher use of technology
strongly and positively explains classroom technology integration and
student use of technology. Further, how a teacher integrates technology
into the classroom explains how frequently students use technology in a
school setting. The findings provided significant evidence that the path
model is useful in explaining factors affecting student use of technology
and the relationships among the factors.
IOSR Journal of Mathematics(IOSR-JM) is an open access international journal that provides rapid publication (within a month) of articles in all areas of mathemetics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mathematics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Educational Data Mining is used to find interesting patterns from the data taken from
educational settings to improve teaching and learning. Assessing student’s ability and performance with
EDM methods in e-learning environment for math education in school level in India has not been
identified in our literature review. Our method is a novel approach in providing quality math education
with assessments indicating the knowledge level of a student in each lesson. This paper illustrates how
Learning Curve – an EDM visualization method is used to compare rural and urban students’ progress
in learning mathematics in an e-learning environment. The experiment is conducted in two different
schools in Tamil Nadu, India. After practicing the problems the students attended the test and their
interaction data are collected and analyzed their performance in different aspects: Knowledge
component level, time taken to solve a problem, error rate. This work studies the student actions for
identifying learning progress. The results show that the learning curve method is much helpful to the
teachers to visualize the students’ performance in granular level which is not possible manually. Also it
helps the students in knowing about their skill level when they complete each unit.
Exploring Semantic Question Generation Methodology and a Case Study for Algor...IJCI JOURNAL
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Technological persuasive pedagogy a new way to persuade students in the computer-based mathematics learning
1. Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.14, 2013
43
Technological Persuasive Pedagogy: A New Way to Persuade
Students in the Computer-based Mathematics Learning
Alireza Gharbaghi1*
Baharuddin Aris 2
, Maizah Hura Ahmad3
, Mohd Shafie Rosli4
1. Faculty of Education, Universiti Teknologi Malaysia (UTM), PO box 81310, Skudai, Johor, Malaysia
2. Centre for Teaching and Learning, Universiti Teknologi Malaysia (UTM), PO box 81310, Skudai,
Johor, Malaysia
3. Faculty of Science, Universiti Teknologi Malaysia (UTM), PO box 81310, Skudai, Johor, Malaysia
4. Faculty of Education, Universiti Teknologi Malaysia (UTM), PO box 81310, Skudai, Johor, Malaysia
* E-mail of the corresponding author: Alireza_Gharbaghi@yahoo.com
Abstract
This study is an attempt to introduce a new technological pedagogy which is more effective in students attitudes
toward mathematics. Content Analysis method as a qualitative research method was used in this research. Based
on research method 16 principles were obtained prior persuasive models, theories and approaches. They are as
usable principles to persuade students in the computer based mathematics classrooms. These principles can be
employed by teachers and course ware designer in three different conditions; first, for students with negative
attitude toward mathematics. Second, increase the positive attitude of the students to a higher level. Last but not
least, for create a condition to prevent of changes in students' attitude from positive level to lower level.
Keywords: Persuasion, Pedagogy, Persuasive Technology, Attitude, Computer-based Learning
1. Introduction
In these decades, the appearance of technologies has caused enormous changes and innovations in man’s life
style, communications, education, and so on. These technological changes have provided the opportunities to
enhance the learning processes by the way of appropriate utilization of learning theories. In fact, this is the era of
persuasive technological pedagogy which supported by computer programs, internet advertising, web sites,
virtual newspapers, CD ROMs, e-books, and so on.
Nowadays, perhaps one of the essential skills for teachers and trainers is persuasive technological pedagogy,
which enable them to help learners for developing their skills and abilities (Bacon, 2011). Perloff (2010)
believed persuasion is a process that attempts to change attitude in an atmosphere of free choice. Therefore,
changing attitude through influencing techniques is a key into persuasion activities and persuasive technology.
Generally, attitude is an individual evaluation regarding other individuals, objects or issues (French, 2008; Petty
& Cacioppo, 1996).
The significant feature of Computer-based Learning (CBL) which makes it different from other media is
interactivity. The computer is able to engage, communicate and adapt to the learner (Jacko & Stephanidis, 2003).
Thus, if this technology is properly applied, it can appear as a beneficial factor and component to perform
learning models and strategies in the educational systems and learning process.
2. Statement of the Problem
Often children set mathematics aside as a cause for concern in school, despite their limited exposure to it (Hoyles
& Lagrange, 2009; Zeidner & Matthews, 2010). A negative attitude towards mathematics could considerably
reduce a person’s willingness to persist with a problem. Without the ability to persevere mathematical
development is likely to be difficult. The conceptions, attitudes, and expectations in students regarding
mathematics is considered as a significant factor underlying their school experience and achievement
(Schoenfeld, 1985). Also, (Koçak, Bozan, & IsIk, 2009) pointed out that mathematics education, instead of
learning just pure mathematics, should be aimed to educate people in a way to enable the learners to apply what
they have learned, do mathematics, solve problems, connect information and enjoy the courses.
3. Persuasion
Researchers have introduced persuasion in various definitions. This means working on this issue is sensitive,
delicate, and difficult. Although there are different definitions for persuasion (Andersen, 1971;(Bettinghaus &
Cody, 1987; O'Keefe, 1990; Smith, 1982), perhaps Perloff definition is a succinct explanation; “a symbolic
processes in which communicators try to convince other people to change their attitudes or behavior, regarding
an issue through the transmission of a message in an atmosphere of free choices” (Perloff, 2010). Generally, the
persuasion process represents a conscious attempt to influence others’ attitude, behavior or both (Goode & Ben-
Yehuda, 2010)
2. Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.14, 2013
44
3.1 Prior persuasion models, theories, and approaches
Although the response shaping, reinforcing, and changing processes are elucidative when the persuasion process
is described, theories may apply to more than one objective. They may be contained one, two or three different
persuasion processes. The theories are not delineated based on the three above persuasive processes. For instance,
a theory may be useful for persuading a learner both to keep an attitude (response reinforcing) and to change an
attitude (response changing) or even convince learner for starting a new attitude. Researchers have different
ideas about occurrence of persuasion. Some groups focused on messages conditions, others on behavior, on
process and other ideas. But often is used these categories: Message Effects Models, Attitude–Behavior
Approaches, Cognitive Processing Theories and models, Consistency Theories, Inoculation Theory, and
Functional Approaches (Cameron, 2009). Also, Captology is used as new category that contains a situation for
persuading others in the computers world (Fogg, 2003). Table 1 represents a brief structure of persuasion
categories based on different models, theories, and approaches (Cameron, 2009).
4. Methodology
The research tool in qualitative methodology which is used to determine presence of certain concepts or words
within texts or sets of texts is Content Analysis. Briefly, Content Analysis is defined as the systematic, objective,
quantitative analysis of message characteristics. It includes the careful examination of human interactions
(Neuendorf, 2002). Investigators analyze and quantified the presence; relationships of such words, meanings and
concepts, then make inferences about the messages. These inferences are within texts, among writer(s) and
audience, and even in culture and time (Nemati & Barko, 2004).
4.1 Collecting and Analyzing Data
For collecting data from persuasion theories, models and approaches, according to literature review, there are
seven different categories about persuasion. Each of which contains one or more model, theory and approach
(For more detail see Table 1), these categories were studied carefully before collecting the data. In fact, this
process is done to obtain theory and rational, conceptualization and operationalization of this study. In this way,
the researcher attempted to find and extract principles of persuasion models, theories and approaches by using
Content Analysis. These extracted principles and concepts are listed in Table 2.
After extracting models' principles, coding step was conducted. Coding is a process of transforming raw data
into a standardization form (Neuendorf, 2002).As mentioned, after determining rational of research, coding
needs the logic of conceptualization and operationalization (Babbie, 2010). In this part, principles and concepts
were combined for preparing the next steps. These combinations are represented in Table 3. Thus, based on these
combinations, sixteen 16 titles, each of which originated from one or more principles and concepts, were
prepared. This is not be ignored that these combinations are conducted for preparing a teaching and learning
process for computer based mathematics learning in schools.
In the next step, for pilot reliability of coding, three researchers (PhD students in educational fields) reviewed the
extracted codes. They agreed on the coding, after a discussion on extracted principles. Then, in an independent
coding test, reliability of each code was ascertained. At each step, the codebook or coding form were discussed
and revised if needed.
To conduct coding step, a codebook based on combined persuasive principles was prepared. This codebook
contained 16 different codes originated for 38 principles. In fact, these 16 codes were obtained to integrate
previous principles. Table 3 lists the results of the coding process. It should be noted, based on main research
goal, these code are prepared for using in computer based learning processes (see Table 4).
Next step is the final reliability for coding. In fact, no specific norm to reliability for Content Analysis
methodology was obtained. Krippendorff (2004) believes, although every Content Analyst faces this question,
there is no set answer. To shed light this matter, it can be said that:
• Rely only on variables with reliabilities above α = .800
• Consider variables with reliabilities between α = .667 and α= .800 only for drawing tentative
conclusions. (Krippendorff, 2004)
According to these view, William Scott formula was employed for measuring reliability of this coding process.
Based on this formula, for recoding, 20 percent of models, theories and approaches with operational definitions
were given to three researchers (Scott, 1955). As a result, reliability of coding process was α= .896 that is an
acceptable norm of reliability based on Krippendorff definition. After to conduct this step, results were reported
as follow (See Table 6)
The last step in Content Analysis method is tabulation and reporting. Before that and due to little differences
between experts in the reliability of coding process, a meeting was organized. In fact, this meeting held to
finalize coding between the researcher and collogues who conducted the coding. Accordingly, coding table (see
Table 6) was approved by all participants in meeting. Therefore, coding process was completed with 16 codes.
3. Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.14, 2013
45
5. Conclusion
In doing this study, the history of previous investigations about persuasion and persuasive models were reviewed.
After reviewing the persuasive definitions, models, theories, and approaches a list of persuasion principles was
extracted based on Content Analysis Method. Although these principles are introduced as elements which can be
used to design a course ware to persuade learners, the importance of creativity and innovation in designing
process may not be neglected. Therefore, spread of this issue is very much in performance steps. In light of
different abilities of course ware designers are very different; the proposed technological pedagogy way, may act
as a guideline for course ware designer and teachers. Moreover, teachers' abilities for combining these principles
with teaching method are very important. On the other hand, these principles and elements can play a general
role for the student with various levels of attitude toward mathematics. First, the students who have negative
attitude toward mathematics; for leading their attitude to positive level. Second, for increasing the students'
positive attitude to higher levels. Last but not least, for making a condition that prevents changes in students'
attitude from positive level to lower levels.
6. Acknowledgment
The authors would like to thank Universiti Teknologi Malaysia (UTM) and the Ministry of Education (MoE)
Malaysia for their support in making this project possible. This work was supported by the Research University
Grant (Q.J130000.2616.07J95) initiated by UTM and MoE.
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4. Journal of Education and Practice www.iiste.org
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Vol.4, No.14, 2013
46
Table 1. Persuasive Theories, Models, and Approaches
Theoretical Category Theories Discussed
Models with focus on massage Message learning approach: ’Yale Model of Persuasion’
Approaches with focus on attitude-Behavior
Theory of Reasoned Action/Theory of Planned Behavior
Triandis Model of Interpersonal Behavior
Models with focus on Process
Elaboration Likelihood Model
Heuristic-Systematic Model
Social Judgment Theory
Theories with focus on Consistency conditions
Balance Theory
Cognitive Dissonance Theory
Probabilogical Models
Theory with focus on Resistance to change Inoculation Theory
Approach with focus on Functions Functional Approaches
Computer Based Approach Captology Theory
Table 2. Principles and Concepts of Persuasion Models, Theories and Approaches
Categories of Models, Theories
and approaches
principles and concepts of persuasion
Message Effects Models
Existence of a clear message, presenting message in a new process, assent of
message by recipient
Attitude Behavior Approaches
Attention to recipients' attitude and believes, to create new motivations,
present new concepts and knowledge, attention to social norms
Cognitive Processing Theories
and Models
Increase of the knowledge, creativity and innovation in the presentation,
possibility to change in the conditions, using past knowledge, fixing defects
and solving problems, to create testing ability
Consistency Theories
Attitudes towards subject, attitudes towards presenter, possibility to change
in forming elements, present new knowledge, presenting importance of
subject, Presenting logical deduction, concluding based on reasons
Inoculation Theory
Presenting logical reasons for new issues, presenting in the appropriate
conditions
Functional Approaches Presenting usefulness reasons, giving reward, removing punishment
Computer Based Approaches
Reducing complexity, attention to tunneling, providing new information
relevant to individuals, possibility of personalization, Presenting in the
appropriate conditions, possibility of self-evaluation, giving reward,
possibility of simulation situations, physical cues, psychological cues,
language cues, social dynamics cues, social role cues
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Table 3. Grouping Extracted Principles
No. Combined Principles and Concepts Frequency
1
Existence of a clear message, assent of message by recipient, Presenting logical
deduction, concluding based on reasons, presenting usefulness reasons, Reducing
complexity
6
2
Presenting message in a new process, increase the knowledge, presenting logical
reasons for new issues, present new concepts and knowledge, present new knowledge,
providing new information relevant to individuals
6
3
Attention to psychological cues, presenting in the appropriate conditions, presenting in
the special conditions, to create new motivations
4
4 Giving reward, removing punishment, giving reward 3
5 Attention to social norms, attitudes towards presenter, social role cues 3
6 Attention to recipients' attitude and believes, attitudes towards subject 2
7 To apply language cues, social dynamics cues 2
8 Possibility to change in forming elements,changes in physical cues, 2
9 Possibility to change in the conditions, possibility of personalization, 2
10 possibility of self-evaluation, to create testing ability 2
11 Fixing defects and problems 1
12 Possibility of simulation of conditions 1
13 Presenting importance of subject 1
14 Using past knowledge 1
15 Attention to tunneling process 1
16 Creativity and innovation in the presentation 1
Total Frequency 38
Table 4.Codebook of Persuasion in Learning Process
Code
No.
Codes' Description
1
To transmission of messages, by employing rational steps and processes are effective to persuade
learners.
2
The contents which are presented to increase the learners' knowledge are effective for persuading
them.
3
Attending to learners' emotion, empathy and compassion can be effective on persuade them in the
learning process.
4
Giving reward and to remove unpleasant contents during learning process to learner can be effective
in persuading learners.
5 Ability to produce the social roles based on social norms can be effective to persuade learners.
6 Attending to learners' attitudes and beliefs can be effective in persuading them to learn.
7
Providing an interactive condition in the learning process by languages cues, conversations, etc. are
effect to persuade learners.
8
The physical cues that are shown on display can be effective to persuade the learners (i.e. faces,
colors, movements).
9
Ability to personalize the display and course ware based on personal interests can be effective in
persuading learners.
10
Providing opportunities for self-assessment by learner during the learning process can be effective in
persuading learners.
11 Presenting new contents based on learner needs and problems can be effective in persuading learners.
12
Enabling the learners for simulation the real conditions by computer can be effective to persuade
learners.
13 Explaining the necessity of presented content can be effective in persuading learners.
14
Consistency of new knowledge and messages with previous knowledge can be effective in
persuading learners.
15
To provide the conditions that to guide learners into the learning tunnel can be effective to persuade
learners.
16
Providing opportunities in the learning process to enable the learners to access personal creativities
and innovations can be effective in persuading learners.
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48
Table 5.Coding Reliability
Researchers Percentage of Similarity
Researcher 1 % 90
Researcher 2 % 85
Researcher 3 % 94
Total Reliability α= .896
Table 6.Tabulation Codes
No. Codes
1
The physical cues that are shown on display can be effective to persuade the learners (i.e. faces, colors,
movements).
2
Attending to learners' emotion, empathy and compassion can be effective on persuade them in the
learning process.
3
Ability to personalize the display and course were based on personal interests that can be effective in
persuading learners.
4
Providing opportunities in the learning process to enable the learners to access personal creativities and
innovations can be effective in persuading learners.
5 Ability to produce the social roles based on social norms can be effective to persuade learners.
6
To provide the conditions to guide learners into the learning tunnel can be effective to persuade
learners.
7
To transmission of messages, by employing rational steps and processes are effective to persuade
learners.
8 The contents which are presented to increase the learners' knowledge are effective for persuading them.
9 Explaining the necessity of presented content can be effective in persuading learners.
10 Attending to learners' attitudes and beliefs can be effective in persuading them to learn.
11
Consistency of new knowledge and messages with previous knowledge can be effective in persuading
learners.
12
Providing an interactive condition in the learning process by languages cues, conversations, etc. are
effect to persuade learners.
13 Presenting new contents based on learner needs and problems can be effective in persuading learners.
14
Providing conditions to learners for working in simulated conditions by computer can be effective to
persuade learners.
15
Giving reward and to remove unpleasant contents during learning process to learner based on their
performance can be effective in persuading learners.
16 Providing opportunities for self-assessment by learner during the learning process can be effective in
persuading learners.
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