Implementation of an Adaptive Learning Environment (ALE) to address individual learning styles: A Case study Christian Service University

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Implementation of an Adaptive Learning Environment (ALE) to address individual learning styles: A Case study Christian Service University Dr. Thomas Yeboah Department of Computer Science, Christian Service University College thomyebs24@gmail.com ABSTRACT: Individual learner can learn best if the channels for visual and verbal information [4]. learning environment addresses the individual learning Students learn better if both channels are addressed style. The project sought to address the individual simultaneously. However, at Christian Service learning styles by constructing an adaptive learning University College materials given to learners by environment that addresses individual learning style by Course Lecturers only addresses one aspect of using adobe captive. The project aimed to create an cognitive subsystems which is the visual subsystem. individualized learning environment, which accommodates the specific learning styles of learners and According to Rundle and Dunn, visual text learners to assess whether this led to an improvement in remember material best by reading it [2]. performance in terms of learning gain, motivation, progression and enjoyment. This research revealed that Furthermore, Rundle and Dunn (ibid) emphasized when a learner has the choice of varying the learning that visual learners prefer information represented in environment there is significant effect on the learner in a pictorial fashion and create mental images terms of learning gain, motivation, enjoyment and according to what they hear or see [2]. Again Rundle progression. and Dunn (ibid) claimed that tactile-kinesthetic learners prefer to physically interact with what they Keywords: Adaptive Learning Environment, Learning Styles, Learning Gain, Motivation learn. Lastly, Rundle and Dunn (ibid) proposed that auditory learners prefer listening to instructional I. INTRODUCTION content. It is therefore important for the lecturers to Every Learner in the academic ladder has a learning present the course materials in different format in style that she/he can learn best. Paivio dual coding order to satisfy individual learners. theory indicates that the human brain works with (at In view of this the research seeks to investigate least) two cognitive subsystems, one of which deals whether implementation of an interactive learning with language and other with visual [5]. According to environment can be used to improve the performance his theory, instruction is more efficient by presenting of students at Christian Service University College information in both visual and verbal form. Paivio and also reduce learning tension on students dual coding theory has also been supported by especially the evening students. Meyer dual channel assumption which also argues that humans possess separate information processing June 2014 Vol II Issue - 1 19 ISSN No. 2026-6839

II. PROBLEM STATEMENT Despite the fact that each learner has a learning style that he/she can learn best, it is rather surprising that very few empirical research has actually been conducted at the institution from the perspective of the learner learning style and the grade Investigate into the learning environments of the learners at Christian Service University College. Investigate into the preferred learning environment of students at Christian Service University College. achievement.this research seeks to investigate whether the use of Adaptive Learning Environment (ALE) that addresses the individual learning styles can improve the performance of learners and their grade achievement. III. RESEARCH QUESTIONS A psychoanalysis of the problem indicated that the following research questions were appropriate to form the basis of this study. How the effective use of learning resources does motivates the learners and improves their grade achievement? V. LITERATURE REVIEW A. LEARNING STYLE THEORY James and Blank (1993) define a learning style as the complex manner in which, and the conditions under which, learners most efficiently and most effectively perceive, process, store and recall what they are attempting to learn. Again Dunn and Dunn also defined learning style as the way in which each learner begins to concentrate on, process, and retain new and difficult information [2]. B. PAIVIO DUAL CODING THEORY Does the adaptive environment provide users with a more satisfying, motivating learning experience thus promoting better retention and better results than the static environment? Paivio found strong evidence supporting his Dual Coding Theory. He postulates that the human brain works with (at least) two cognitive subsystems: one specialized on dealing with language. According to his theory, instruction is more efficient by presenting IV. RESEARCH OBJECTIVES The purpose of this research is to investigate whether the use of Adaptive Learning Environment (ALE) that addresses the individual learning styles can information in both visual and verbal form [5]. The diagram in figure 1-1 illustrates Paivio dual coding theory. Dual Coding Theory improve the performance of learners and their grade achievement. In order to achieve this specific objectives for this research are: Investigate into individual learning styles of students at Christian Service University College. June 2014 Vol II Issue - 1 20 ISSN No. 2026-6839

Figure 1-2 illustrates the layers of learning styles compared with onion by Curry. Curry s onion Model of learning style theory Source: Paivio (1986) Figure 1: Paivio Dual Coding Theory Paivio dual coding theory has also been supported by Meyer dual channel assumption which also argues that humans possess separate information processing channels for visual and verbal information [4]. Therefore learners can learn better if these cognitive subsystems are addressed in the learning environment of the learners. C. CURRY LEARNING STYLE THEORY Curry suggested after extensive reviews of the cognitive and learning styles literature, that learning style theories can be generally categorized into three different schools of thoughts or dimensions [1]: Source: Curry (1991) Onion Model of learning style Figure 2: Curry s onion Model of learning style theory The outer shell of the onion model contains instructional preferences. Styles in this layer are concerned with an affinity for various modes of information delivery [1]. They are believed to be the least stable over time and easy to alter through interactions with other variables. Perceptual Modality: The way our body takes in information with our senses: biologicallybased reactions to the physical environment. Information Processing: The way our brain processes information: distinguishes between the way we think, solve problems, and remember The middle layer of the onion model holds information processing styles. These styles deal with the way our brain processes information. Information processing influences the way learners think, solve problems, and remember. These styles are believed to be more time stable. Personality Models The way we interact with our surroundings: could be thought Furthermore, curry categorized learning styles into three different layers that is compared with onion. The core of the onion consists of cognitive personality styles. Styles in this layer are concerned with deep personality traits that indirectly influence how learners interact with their environment. These styles are believed to be the most time stable June 2014 Vol II Issue - 1 21 ISSN No. 2026-6839

D. KOLB LEARNING STYLE THEORY Kolb theorized that four combinations of perceiving and processing determine four learning styles that make up a learning cycle [3]. According to Kolb, the learning cycle involves four processes that must be present for learning to occur: Diverging (concrete, reflective) - Emphasizes the innovative and imaginative approach to doing things. Views concrete situations from many perspectives and adapts by observation rather than by action. Interested in people and tends to be feeling-oriented. Assimilating (abstract, reflective) - Pulls a number of different observations and thoughts into an integrated whole. Likes to reason inductively and create models and theories. Converging (abstract, active) - Emphasizes the practical application of ideas and solving problems. Likes decision-making, problemsolving, and the practicable application of ideas. Prefers technical problems over interpersonal issues. Accommodating (concrete, active) - Uses trial and error rather than thought and reflection. Good at adapting to changing circumstances; solves problems in an intuitive, trial-and-error manner, such as discovery learning. Also tends to be at ease with people. Kolb Learning Style Theory Source: Litzinger and Osif (1992, p. 79) Figure 3: Kolb Learning Style Theory VI. METHODOLOGY A. POPULATION The population of the study consists of the Level 300 Bachelor of Business Administration students of the 2013/2014 academic year at Christian Service University College. The reason for including only these students was to delimit the study and minimize certain differences that could emerge due to academic differences of the students. A total population of three hundred (300) students was used for the study. B. SAMPLING TECHNIQUES In this study the sampling techniques used was Stratified Sampling techniques. This method is used when the parent population or sampling frame is made up of sub-sets of known size. These sub-sets make up different proportions of the total, and therefore sampling should be stratified to ensure that results are proportional and representative of the whole. June 2014 Vol II Issue - 1 22 ISSN No. 2026-6839

The reason why this sampling technique was appropriate for this study is to get students who attended all the lectures during the study of Information Systems when they were in level 200. Conceptualized Framework for ALE C. SAMPLE SIZE As the sample was selected by stratified sample technique; two strata of students were made. One of the strata constitutes those students started the course from level 100 and attended all the lectures for the course CSAD 247 Information Systems whiles the other constitutes students who joined the class at level 200 and attended all the lectures for the course CSAD 247 Information Systems during 2012/2013 academic year. In view of this a sample size of two hundred and twenty eight (228) was obtained for the study which constitutes 76% of the total population for the study. D. INSTRUMENT FOR THE STUDY In order to obtain the data for the study the instrument used for the study was questionnaire. E. CONCEPTUAL FRAMEWORK In the Adaptive Learning Environment (ALE) the learner needs to login with the user name and password, afterwards the learner select a topic to study and the learning style he or she can learn best. Figure 1-4 shows the activity diagram of a learner using the adaptive learning environment (ALE). Source: Author s Construct Figure 4: Conceptualized Framework for ALE VII. RESULTS In order to test for any differences between a situation whereby the learner has the option to choose the learning style that he/she can learn best (C) and whereby no choice can be made on learning styles (NC) of conditions regarding the dependent variables (learning gain, enjoyment, progress, and motivation), mean and standard deviation calculations were performed. The results are listed in Table 1: Table 1: Mean Comparisons between Choice/No Choice of learning style Source: Author s Construct Furthermore, in order to establish a concrete decision on the effect that the choice of learning style has on June 2014 Vol II Issue - 1 23 ISSN No. 2026-6839

the learner a p-values were also calculated. Table 2 lists p-values and the on learner. Table 2: P-values and Effect for Choice of learning styles on learner. [1] Curry,L.(1983). An organization of learning Styles Theory and Constructs (Washington DC, US. Department of Education, Office of Educational Research and Improvement [2] Dunn, R, and Dunn, K. (1992). Teaching elementary students through their individual learning styles : Practical approaches for grades3-6. Boston: Allyn and bacon. [3] Kolb, D. A. (1984) Experiential Learning, Prentice Hall. Source: Author s Construct It can be observed from both Table 1 and Table 2 that mean scores indicate that the choice condition had a slightly negative influence on learning gain and progress, but a slightly positive influence on enjoyment and motivation. Even though the pairedsamples t-tests between the choice and no choice condition revealed no significant differences for any of the dependent variables, a small negative effect was found for the choice/learning gain interaction. [4] Mayer, R. E. (2001). Multimedia learning. Cambridge, U.K.; New York: Cambridge University Press. [5] Paivio, A. (1986). Mental representation: A dual coding approach. Oxford: Oxford University Press. VIII. CONCLUSION The study was carried out to find out the correlation between the choice of learning style and its effect on the learner in terms of learning gain, enjoyment, progression and motivation. It was observed from the study that most of the learners studying Bachelor of Business Administration at Christian Service University College preferred choice of learning styles and therefore lecturers should vary their learning environment to address individual learning styles of a learner in order to improve students performance at Christian Service University College. IX. REFERENCES June 2014 Vol II Issue - 1 24 ISSN No. 2026-6839